This document discusses remote sensing and geographic information systems (GIS). Remote sensing involves collecting data about objects from a distance using electromagnetic energy and sensors. It works through various stages including energy source, interaction with the target, sensor recording, processing, and interpretation. Remote sensing has applications in resource exploration, environmental monitoring, and land use analysis. GIS integrates spatial data using computer hardware, software, and trained personnel. It has advantages like visualization and modeling capabilities, and disadvantages like high costs and data errors. The future of remote sensing and GIS is promising as more industries adopt these technologies.
Soil mapping , remote sensing and use of sensors in precision farmingDr. M. Kumaresan Hort.
Soil mapping involves identifying different soil types, recording their properties and locations on maps. Soil maps show the spatial distribution of soils and are used for land evaluation, planning, and environmental protection. Digital soil mapping uses statistical, data mining and GIS tools to create more detailed and accurate soil maps. Remote sensing uses electromagnetic radiation to image land, oceans, and the atmosphere from ground, air, or space. It provides data that can be used to identify crops, estimate yields, and monitor land and crop conditions. Precision farming uses remote sensing and GNSS data in geographical information systems to help make crop management decisions.
The document discusses photogrammetry and remote sensing. It defines remote sensing as obtaining information about an object without physical contact by sampling electromagnetic radiation. Remote sensing uses sensors on satellites and aircraft to capture radiation reflected or emitted from Earth's surface features. This data provides information on resources, weather, and the environment over large areas quickly. Common sensors mentioned include Landsat, MODIS, ASTER, and radar. Applications of remote sensing data include urban planning, agriculture, natural resource management, and national security.
The document provides an overview of a presentation on remote sensing and GIS and their applications. It discusses what remote sensing is, the steps involved which include the source, sensors, and processing units. It describes different types of remote sensing based on the energy source, including passive sensors like Landsat and active sensors like LIDAR and RADAR. It outlines applications of remote sensing in areas like agriculture, natural resource management, and national security. It also provides an introduction to GIS, describing it as a computer-based information system for capturing and displaying spatially referenced data, and listing some of its functions and advantages.
A tunnel is an underground passageway enclosed except for openings at each end. Tunnels can be built for roads, railways, canals, or utilities. They allow obstacles like mountains to be bypassed without surface disruption. Geological challenges in tunneling include directing excavation relative to geological structures like folds, faults, and joints. Excavating through tight folds or fault zones risks rock falls and groundwater inflows. Assessments of route, design, costs, stability, and environmental factors are required before tunneling.
Remote sensing uses electromagnetic radiation to acquire geospatial data without direct contact with objects. It provides a view of large regions, offering geo-referenced digital information even in tough weather. Common remote sensing tools include Landsat, Ikonos, and Quickbird satellites. Satellite imagery provides information on land cover, land use, habitats, and infrastructure through multiple observations over time, allowing for mapping and monitoring of changes. Applications of remote sensing include urban planning, agriculture, natural resource management, land use mapping, and more. Common satellite types used are geostationary satellites directly over the equator and polar-orbiting satellites that orbit near the poles.
Remote sensing is the science of acquiring images and data about objects from a distance using sensors. It involves recording electromagnetic radiation reflected or emitted from objects using platforms like satellites, aircraft, and drones. There are two main types - passive sensing, which detects natural radiation, and active sensing, which emits energy and measures its reflection. Remote sensing has various applications like mapping land use, monitoring agriculture and forests, and studying geology, oceans, and the environment. It provides data over large and inaccessible areas quickly and cost-effectively. However, interpretation requires skill and data may need ground verification.
Remote sensing is the observation of an object from a distance.
It is the art of identifying, observing and measuring an object without coming into direct contact with it by detecting and measuring the radiation of different wavelengths reflected from distant objects.
This document discusses remote sensing and geographic information systems (GIS). Remote sensing involves collecting data about objects from a distance using electromagnetic energy and sensors. It works through various stages including energy source, interaction with the target, sensor recording, processing, and interpretation. Remote sensing has applications in resource exploration, environmental monitoring, and land use analysis. GIS integrates spatial data using computer hardware, software, and trained personnel. It has advantages like visualization and modeling capabilities, and disadvantages like high costs and data errors. The future of remote sensing and GIS is promising as more industries adopt these technologies.
Soil mapping , remote sensing and use of sensors in precision farmingDr. M. Kumaresan Hort.
Soil mapping involves identifying different soil types, recording their properties and locations on maps. Soil maps show the spatial distribution of soils and are used for land evaluation, planning, and environmental protection. Digital soil mapping uses statistical, data mining and GIS tools to create more detailed and accurate soil maps. Remote sensing uses electromagnetic radiation to image land, oceans, and the atmosphere from ground, air, or space. It provides data that can be used to identify crops, estimate yields, and monitor land and crop conditions. Precision farming uses remote sensing and GNSS data in geographical information systems to help make crop management decisions.
The document discusses photogrammetry and remote sensing. It defines remote sensing as obtaining information about an object without physical contact by sampling electromagnetic radiation. Remote sensing uses sensors on satellites and aircraft to capture radiation reflected or emitted from Earth's surface features. This data provides information on resources, weather, and the environment over large areas quickly. Common sensors mentioned include Landsat, MODIS, ASTER, and radar. Applications of remote sensing data include urban planning, agriculture, natural resource management, and national security.
The document provides an overview of a presentation on remote sensing and GIS and their applications. It discusses what remote sensing is, the steps involved which include the source, sensors, and processing units. It describes different types of remote sensing based on the energy source, including passive sensors like Landsat and active sensors like LIDAR and RADAR. It outlines applications of remote sensing in areas like agriculture, natural resource management, and national security. It also provides an introduction to GIS, describing it as a computer-based information system for capturing and displaying spatially referenced data, and listing some of its functions and advantages.
A tunnel is an underground passageway enclosed except for openings at each end. Tunnels can be built for roads, railways, canals, or utilities. They allow obstacles like mountains to be bypassed without surface disruption. Geological challenges in tunneling include directing excavation relative to geological structures like folds, faults, and joints. Excavating through tight folds or fault zones risks rock falls and groundwater inflows. Assessments of route, design, costs, stability, and environmental factors are required before tunneling.
Remote sensing uses electromagnetic radiation to acquire geospatial data without direct contact with objects. It provides a view of large regions, offering geo-referenced digital information even in tough weather. Common remote sensing tools include Landsat, Ikonos, and Quickbird satellites. Satellite imagery provides information on land cover, land use, habitats, and infrastructure through multiple observations over time, allowing for mapping and monitoring of changes. Applications of remote sensing include urban planning, agriculture, natural resource management, land use mapping, and more. Common satellite types used are geostationary satellites directly over the equator and polar-orbiting satellites that orbit near the poles.
Remote sensing is the science of acquiring images and data about objects from a distance using sensors. It involves recording electromagnetic radiation reflected or emitted from objects using platforms like satellites, aircraft, and drones. There are two main types - passive sensing, which detects natural radiation, and active sensing, which emits energy and measures its reflection. Remote sensing has various applications like mapping land use, monitoring agriculture and forests, and studying geology, oceans, and the environment. It provides data over large and inaccessible areas quickly and cost-effectively. However, interpretation requires skill and data may need ground verification.
Remote sensing is the observation of an object from a distance.
It is the art of identifying, observing and measuring an object without coming into direct contact with it by detecting and measuring the radiation of different wavelengths reflected from distant objects.
1. Remote sensing involves acquiring information about the Earth's surface from a distance, without direct contact, by recording reflected or emitted energy.
2. Remote sensing utilizes electromagnetic energy from the sun that interacts with objects on Earth's surface. This energy is reflected, absorbed, or emitted and detected by sensors to form images.
3. Remote sensing has various applications in civil engineering like terrain mapping, hydrological studies, urban planning, and infrastructure development by providing geospatial data to assess terrain and land features.
DOCTORAL SEMINAR on remote sensing in AgricultureAmanDohre
This document summarizes a doctoral seminar on recent advances in applying remote sensing to fruit crop production. It discusses the historical development of remote sensing, key principles and stages in remote sensing systems, different platforms (ground, airborne, spaceborne) and sensors used. Applications of remote sensing in fruit crops include estimating crop areas, identifying diseases/pests, assessing water stress, and recommending fertilizer doses. The document also outlines various remote sensing organizations and provides an example of research on using drones to map mango yields based on tree structure.
This document provides an overview of remote sensing. It defines remote sensing as acquiring information about the Earth's surface without physical contact using sensors. It discusses various remote sensing platforms, data sources, processes, applications, organizations, and history. The key applications of remote sensing mentioned are land use mapping, agriculture, forestry, water management, and environmental monitoring. Satellite images are provided as examples to illustrate monitoring of deforestation and flood damage assessment.
Remote sensing involves collecting data about objects from a distance without direct contact. It works by measuring reflected electromagnetic energy from targets using sensors on platforms like satellites. There are several key components, including the energy source (sun), its interaction with the atmosphere and earth surfaces, sensors to record the energy, and processing of the data. Remote sensing provides digital imagery that can be analyzed for applications like land use mapping. Global positioning systems (GPS) provide location data by triangulating signals from satellite constellations. India is developing its own regional GPS network called IRNSS and has also launched satellites for other countries to gain experience in space technologies.
Identification Of Ground Water Potential Zones In Tamil Nadu By Remote Sensin...IJERA Editor
A case study was conducted to find out the groundwater potential zones in Salem, Erode and Namakkal districts, Tamil Nadu, India with an aerial extent of 360.60 km2. The thematic maps such as geology, geomorphology, soil hydrological group, land use / land cover and drainage map were prepared for the study area. The Digital Elevation Model (DEM) has been generated from the 10 m interval contour lines (which is derived from SOI, Toposheet 1:25000 scale) and obtained the slope (%) of the study area. The groundwater potential zones were obtained by overlaying all the thematic maps in terms of weighted overlay methods using the spatial analysis tool in Arc GIS 9.3. During weighted overlay analysis, the ranking has been given for each individual parameter of each thematic map and weights were assigned according to the influence such as soil −25%, geomorphology − 25%, land use/land cover −25%, slope − 15%, lineament − 5% and drainage / streams − 5% and find out the potential zones in terms of good, moderate and poor zones with the area of 49.70 km2, 261.61 km2 and 46.04 km2 respectively. The potential zone wise study area was overlaid with village boundary map and the village wise groundwater potential zones with three categories such as good, moderate and poor zones were obtained. This GIS based output result was validated by conducting field survey by randomly selecting wells in different villages using GPS instruments. The coordinates of each well location were obtained by GPS and plotted in the GIS platform and it was clearly shown that the well coordinates were exactly seated with the classified zones.
The document discusses remote sensing and its key elements. It begins with an introduction to remote sensing, defining it as obtaining information about an object without physical contact through analysis of data from devices. The principles of remote sensing are then outlined, including how electromagnetic energy interacts with and is reflected from Earth's surface features. The main components of a remote sensing system are identified as the energy source, propagation through the atmosphere, energy interaction with targets, sensor recording, transmission and processing, interpretation, and applications. Key advantages of remote sensing include large area coverage enabling regional surveys and monitoring of dynamic phenomena over time.
Remote sensing and application by Nikhil PakwanneNIKHIL PAKWANNE
Remote sensing is the process of obtaining information about objects or areas from a distance, without physical contact. It involves the use of electromagnetic radiation to detect and classify objects on Earth through aerial sensors or satellites. The key components of a remote sensing system include an energy source, a sensor to record electromagnetic radiation, transmission of data to a receiving station, and processing to extract information. Remote sensing provides advantages like rapid coverage of large areas, accessibility to remote or dangerous regions, and collection of geo-referenced digital data. Common applications of remote sensing include agriculture, geology, urban planning, hydrology, land use mapping, forestry, and ocean monitoring.
Geoinformatics refers to the science of processing geospatial data for storage, analysis, and presentation. It involves acquiring, managing, analyzing, modeling, and developing tools for geospatial data. The three main components of geoinformatics are geographical information systems (GIS), remote sensing, and global positioning systems (GPS). GIS stores, analyzes, and displays both spatial and non-spatial data. Remote sensing acquires information about objects from a distance by analyzing the electromagnetic energy returned from objects. GPS provides precise location information expressed as latitude and longitude by measuring signals from satellites. Geoinformatics has many applications in fields like urban planning, environmental analysis, agriculture, and more.
Remote sensing involves acquiring information about objects without physical contact using sensors. It works by sensing reflected or emitted energy from targets and processing the data. GIS integrates spatial data to analyze patterns and relationships. It has hardware, software, data, people components and is used for applications like engineering, planning and more. GPS is a satellite-based system that provides location data. Remote sensing uses energy sources and sensors to collect data from targets, transmit it, process images, and extract useful information at various scales for monitoring large areas.
Remote sensing involves acquiring information about objects without physical contact using sensors. It works by sensing and recording reflected or emitted energy from targets. Key components of remote sensing include hardware, software, data, people, and approaches to analyze geospatial data. Remote sensing has various applications like engineering, land use planning, and environmental studies. It allows large area coverage, repetitive monitoring, multi-scale data collection, and fast processing to extract target information.
Remote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance (typically from satellite or aircraft).
Special cameras collect remotely sensed images, which help researchers "sense" things about the Earth.
The document discusses how geoinformatics, which combines GIS, GPS, remote sensing, and the internet, provides an innovative tool for developing decision support systems and strategic planning using geo-referenced data and information. It recommends incorporating such emerging technologies into higher education institutions for collaborative research support through expertise sharing. Geoinformatics allows accurate analysis and modeling of real-world features and phenomena by integrating geospatial data within a common framework.
This document discusses remote sensing and GIS. It defines remote sensing as obtaining information about an object without physical contact through electromagnetic radiation. It describes the basic process of remote sensing including energy sources, sensors, and data interpretation. Applications in civil engineering like resource exploration, environmental studies, and site investigation are covered. GIS is defined as a system to capture, store, analyze and present geographic data. The document outlines vector and raster data types in GIS and advantages and disadvantages of both remote sensing and GIS. In conclusion, the document emphasizes the role of remote sensing and GIS in supporting civil engineering projects.
This document provides an overview of remote sensing and geographic information systems (GIS) in agriculture. It discusses the history and processes of remote sensing and GIS. Remote sensing involves collecting data from aircraft or satellites using sensors, while GIS involves capturing, storing, analyzing and displaying spatially referenced data on a map. The document outlines various applications of remote sensing and GIS in agriculture such as crop monitoring and yield estimation. It also presents case studies on using these technologies for agro-advisory services, locust monitoring, and land suitability analysis for crops. In conclusion, remote sensing and GIS are useful tools for solving agricultural problems by identifying issues like pests and diseases and enabling change detection over time.
35001320006_Saraswati Mahato_Remote sensing and gis_ca 1_2024_even.pdfbarunmahato3
Remote sensing is the science of obtaining information about objects or areas from a distance, without physical contact. It involves the use of electromagnetic radiation and sensors to detect and classify objects on Earth through platforms like satellites, aircraft and drones. The document discusses the components of remote sensing including electromagnetic radiation, sensors and sensor platforms. It provides examples of active and passive sensors and describes several important applications of remote sensing in fields like agriculture, forestry, weather monitoring and more.
Remote sensing and GIS are two interrelated fields of geoinformatics that deal with the collection, analysis, and display of data about the earth's surface. Remote sensing is the science and technique of measuring and recording the properties of objects or phenomena without physical contact, using electromagnetic radiation (EMR) data from aircraft and satellites ¹. GIS is a computer-based tool for mapping and analyzing the spatial and statistical aspects of the data, using databases and visual representations ¹.
Remote sensing and GIS techniques can be used to monitor the
(1) Remote sensing and GIS applications in earth and
Remote sensing uses sensors on airborne or spaceborne platforms to detect and record electromagnetic radiation from objects. It has two main phases - data acquisition through sensors and data analysis. In geology, remote sensing is used to map lithology, structures, and monitor hazards. It helps identify rock types and map faults, which aids mineral and hydrocarbon exploration. Structural lineaments identified from remote sensing help locate ore deposits. Remote sensing also assists with geological mapping, geomorphology studies, hydrology monitoring, and other environmental applications.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
1. Remote sensing involves acquiring information about the Earth's surface from a distance, without direct contact, by recording reflected or emitted energy.
2. Remote sensing utilizes electromagnetic energy from the sun that interacts with objects on Earth's surface. This energy is reflected, absorbed, or emitted and detected by sensors to form images.
3. Remote sensing has various applications in civil engineering like terrain mapping, hydrological studies, urban planning, and infrastructure development by providing geospatial data to assess terrain and land features.
DOCTORAL SEMINAR on remote sensing in AgricultureAmanDohre
This document summarizes a doctoral seminar on recent advances in applying remote sensing to fruit crop production. It discusses the historical development of remote sensing, key principles and stages in remote sensing systems, different platforms (ground, airborne, spaceborne) and sensors used. Applications of remote sensing in fruit crops include estimating crop areas, identifying diseases/pests, assessing water stress, and recommending fertilizer doses. The document also outlines various remote sensing organizations and provides an example of research on using drones to map mango yields based on tree structure.
This document provides an overview of remote sensing. It defines remote sensing as acquiring information about the Earth's surface without physical contact using sensors. It discusses various remote sensing platforms, data sources, processes, applications, organizations, and history. The key applications of remote sensing mentioned are land use mapping, agriculture, forestry, water management, and environmental monitoring. Satellite images are provided as examples to illustrate monitoring of deforestation and flood damage assessment.
Remote sensing involves collecting data about objects from a distance without direct contact. It works by measuring reflected electromagnetic energy from targets using sensors on platforms like satellites. There are several key components, including the energy source (sun), its interaction with the atmosphere and earth surfaces, sensors to record the energy, and processing of the data. Remote sensing provides digital imagery that can be analyzed for applications like land use mapping. Global positioning systems (GPS) provide location data by triangulating signals from satellite constellations. India is developing its own regional GPS network called IRNSS and has also launched satellites for other countries to gain experience in space technologies.
Identification Of Ground Water Potential Zones In Tamil Nadu By Remote Sensin...IJERA Editor
A case study was conducted to find out the groundwater potential zones in Salem, Erode and Namakkal districts, Tamil Nadu, India with an aerial extent of 360.60 km2. The thematic maps such as geology, geomorphology, soil hydrological group, land use / land cover and drainage map were prepared for the study area. The Digital Elevation Model (DEM) has been generated from the 10 m interval contour lines (which is derived from SOI, Toposheet 1:25000 scale) and obtained the slope (%) of the study area. The groundwater potential zones were obtained by overlaying all the thematic maps in terms of weighted overlay methods using the spatial analysis tool in Arc GIS 9.3. During weighted overlay analysis, the ranking has been given for each individual parameter of each thematic map and weights were assigned according to the influence such as soil −25%, geomorphology − 25%, land use/land cover −25%, slope − 15%, lineament − 5% and drainage / streams − 5% and find out the potential zones in terms of good, moderate and poor zones with the area of 49.70 km2, 261.61 km2 and 46.04 km2 respectively. The potential zone wise study area was overlaid with village boundary map and the village wise groundwater potential zones with three categories such as good, moderate and poor zones were obtained. This GIS based output result was validated by conducting field survey by randomly selecting wells in different villages using GPS instruments. The coordinates of each well location were obtained by GPS and plotted in the GIS platform and it was clearly shown that the well coordinates were exactly seated with the classified zones.
The document discusses remote sensing and its key elements. It begins with an introduction to remote sensing, defining it as obtaining information about an object without physical contact through analysis of data from devices. The principles of remote sensing are then outlined, including how electromagnetic energy interacts with and is reflected from Earth's surface features. The main components of a remote sensing system are identified as the energy source, propagation through the atmosphere, energy interaction with targets, sensor recording, transmission and processing, interpretation, and applications. Key advantages of remote sensing include large area coverage enabling regional surveys and monitoring of dynamic phenomena over time.
Remote sensing and application by Nikhil PakwanneNIKHIL PAKWANNE
Remote sensing is the process of obtaining information about objects or areas from a distance, without physical contact. It involves the use of electromagnetic radiation to detect and classify objects on Earth through aerial sensors or satellites. The key components of a remote sensing system include an energy source, a sensor to record electromagnetic radiation, transmission of data to a receiving station, and processing to extract information. Remote sensing provides advantages like rapid coverage of large areas, accessibility to remote or dangerous regions, and collection of geo-referenced digital data. Common applications of remote sensing include agriculture, geology, urban planning, hydrology, land use mapping, forestry, and ocean monitoring.
Geoinformatics refers to the science of processing geospatial data for storage, analysis, and presentation. It involves acquiring, managing, analyzing, modeling, and developing tools for geospatial data. The three main components of geoinformatics are geographical information systems (GIS), remote sensing, and global positioning systems (GPS). GIS stores, analyzes, and displays both spatial and non-spatial data. Remote sensing acquires information about objects from a distance by analyzing the electromagnetic energy returned from objects. GPS provides precise location information expressed as latitude and longitude by measuring signals from satellites. Geoinformatics has many applications in fields like urban planning, environmental analysis, agriculture, and more.
Remote sensing involves acquiring information about objects without physical contact using sensors. It works by sensing reflected or emitted energy from targets and processing the data. GIS integrates spatial data to analyze patterns and relationships. It has hardware, software, data, people components and is used for applications like engineering, planning and more. GPS is a satellite-based system that provides location data. Remote sensing uses energy sources and sensors to collect data from targets, transmit it, process images, and extract useful information at various scales for monitoring large areas.
Remote sensing involves acquiring information about objects without physical contact using sensors. It works by sensing and recording reflected or emitted energy from targets. Key components of remote sensing include hardware, software, data, people, and approaches to analyze geospatial data. Remote sensing has various applications like engineering, land use planning, and environmental studies. It allows large area coverage, repetitive monitoring, multi-scale data collection, and fast processing to extract target information.
Remote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance (typically from satellite or aircraft).
Special cameras collect remotely sensed images, which help researchers "sense" things about the Earth.
The document discusses how geoinformatics, which combines GIS, GPS, remote sensing, and the internet, provides an innovative tool for developing decision support systems and strategic planning using geo-referenced data and information. It recommends incorporating such emerging technologies into higher education institutions for collaborative research support through expertise sharing. Geoinformatics allows accurate analysis and modeling of real-world features and phenomena by integrating geospatial data within a common framework.
This document discusses remote sensing and GIS. It defines remote sensing as obtaining information about an object without physical contact through electromagnetic radiation. It describes the basic process of remote sensing including energy sources, sensors, and data interpretation. Applications in civil engineering like resource exploration, environmental studies, and site investigation are covered. GIS is defined as a system to capture, store, analyze and present geographic data. The document outlines vector and raster data types in GIS and advantages and disadvantages of both remote sensing and GIS. In conclusion, the document emphasizes the role of remote sensing and GIS in supporting civil engineering projects.
This document provides an overview of remote sensing and geographic information systems (GIS) in agriculture. It discusses the history and processes of remote sensing and GIS. Remote sensing involves collecting data from aircraft or satellites using sensors, while GIS involves capturing, storing, analyzing and displaying spatially referenced data on a map. The document outlines various applications of remote sensing and GIS in agriculture such as crop monitoring and yield estimation. It also presents case studies on using these technologies for agro-advisory services, locust monitoring, and land suitability analysis for crops. In conclusion, remote sensing and GIS are useful tools for solving agricultural problems by identifying issues like pests and diseases and enabling change detection over time.
35001320006_Saraswati Mahato_Remote sensing and gis_ca 1_2024_even.pdfbarunmahato3
Remote sensing is the science of obtaining information about objects or areas from a distance, without physical contact. It involves the use of electromagnetic radiation and sensors to detect and classify objects on Earth through platforms like satellites, aircraft and drones. The document discusses the components of remote sensing including electromagnetic radiation, sensors and sensor platforms. It provides examples of active and passive sensors and describes several important applications of remote sensing in fields like agriculture, forestry, weather monitoring and more.
Remote sensing and GIS are two interrelated fields of geoinformatics that deal with the collection, analysis, and display of data about the earth's surface. Remote sensing is the science and technique of measuring and recording the properties of objects or phenomena without physical contact, using electromagnetic radiation (EMR) data from aircraft and satellites ¹. GIS is a computer-based tool for mapping and analyzing the spatial and statistical aspects of the data, using databases and visual representations ¹.
Remote sensing and GIS techniques can be used to monitor the
(1) Remote sensing and GIS applications in earth and
Remote sensing uses sensors on airborne or spaceborne platforms to detect and record electromagnetic radiation from objects. It has two main phases - data acquisition through sensors and data analysis. In geology, remote sensing is used to map lithology, structures, and monitor hazards. It helps identify rock types and map faults, which aids mineral and hydrocarbon exploration. Structural lineaments identified from remote sensing help locate ore deposits. Remote sensing also assists with geological mapping, geomorphology studies, hydrology monitoring, and other environmental applications.
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
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Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
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Description Working of Remote sensing and GIS .pptx
1. REMOTE SENSING AND GIS
By FIRDOUSIA BEGAM
STUDENT OF MEMARI GOVERNMENT POLYTECHNIC
2. CONTENT
•REMOTE SENSING
•BASIC CONCEPTS
•PRINCIPLE
•STAGES IN REMOTE SENSING
•APPLICATION OF REMOTE SENSING
•ADVANTAGES AND DISADVANTAGERS
•GEOGRAPHIC INFORMATION SYSTEMS (GIS)
•KEY COMPONENTS
•APPLICATION OF GIS
•ADVANTAGES AND DISADVANTAGES
3. REMOTE SENSING
Remote Sensing means collecting data from remote location without
coming in contact with the object.
Remote sensing is a method of collecting and interpreting
information about terrain and other objects from distance without
being in physical contact without objects.
Remote sensing involves the use of electromagnetic energy for the
characteristics determination of the objects. In remote sensing, the
imagery is obtained with a sensor.
4. Remote means away from or at a distance, sensing means detecting a property
or characteristics. Thus the term Remote Sensing refers examination,
measurement and analysis of an object without being in contact with it.
Remote Sensing is the science and art of acquiring information about the earth
information about the earth surface without actually being in contact with it. This
in contact with it. This is done by sensing and recording reflected or emitted
reflected or emitted energy and processing, analyzing and applying that
applying that information.
5. There are many possible definitions about what Remote
Sensing actually is. One of the most acceptable definitions
of Remote Sensing is “Remote Sensing is broadly defined
as collecting and interpretation information about a target
without being in physical contact with the object”. Air
crafts and satellites are the common platforms for remote
sensing observation.
6. Basic Concept
The system in which sun and earth’s material are used as a natural
source so as to radiate electromagnetic energy of variable wavelength
is called as passive system
Passive system
7. Active system
The system in which irradiance from artificially generated energy
sources
such as radar is used then it is called as active system.
8. ELECTROMAGNETIC ENERGY
Electromagnetic energy is a form of energy which moves with the
velocity of light. The sun and various artificial sources radiate
electromagnetic energy of variable wavelengths.
9.
10. PRINCIPLE
the sensing of the Earth's surface from space by making use of
the properties of electromagnetic waves emitted, reflected or
diffracted by the sensed objects, for the purpose of improving
natural resources management, land use and the protection of
the environment."
11.
12. STAGES IN REMOTE SENSING
SYSTEM
The remote sensing system consists of six stages:
i. Energy Source or Illumination (A)
ii. Radiation and the Atmosphere (B)
iii. Interaction with the Target (C)
iv. Recording of Energy by the Sensor (D)
v. Transmission, Reception, and Processing (E)
vi. Interpretation and Analysis (F)
vii. Application (G)
13.
14. APPLICATION OF REMOTE SENSING
1. Application of Remote Sensing in resource exploration.
2. Environmental application of Remote Sensing
3. Application of Remote Sensing for land use and land covering.
4. Application of Remote Sensing in local natural hazards.
15. ADVANTAGES
• Provides a view for the large region.
• Current space survey enables taking pictures.
• Its ability to cover large areas, high temporal frequency, and lower
cost compared to ground-based investigation and monitoring.
16. DISADVANTAGES
• Too costly to build and operate.
• Data interpretation is dificult.
• Need sound knowledge and understanding of how the instrument is
• making the measurements.
18. GEOGRAPHICAL INFORMATION SYSTEM (GIS)
• GIS, or geographic information systems, are computer-based tools used to
store, visualize, analyze, and interpret geographic data.It uses data that is
attached to a unique location.Most of the information we have about our
world contains a location reference: Where are USGS streamgages
located? Where was a rock sample collected? Exactly where are all of a
city's fire hydrants?
• If, for example, a rare plant is observed in three different places, GIS
analysis might show that the plants are all on north-facing slopes that are
above an elevation of 1,000 feet and that get more than ten inches of rain
per year. GIS maps can then display all locations in the area that have
similar conditions, so researchers know where to look for more of the rare
plants.
• By knowing the geographic location of farms using a specific fertilizer, GIS
analysis of farm locations, stream locations, elevations, and rainfall will
show which streams are likely to carry that fertilizer downstream.
19.
20. KEY COMPONENTS OF GIS
1. Computer hardware and Software
2. Spatial data from the ‘Real World ‘.
3. Trained Personal
23. ADVANTAGES
• Power to create maps with image shown.
• Visualize spatial data information
• Provide solutions for problems
• Number of job opportunities
24. DISADVANTAGES
• Very Expensive
• Geographical error increases with larger scale
• Violetion of privacy
• Failures of initiating aditional efforts in order to fully implement the
GIS
25.
26. CONCLUSIONS
Remote Sensing and GIS are integral to each other. The development
of Remote Sensing is of no use without the development of GIS and vice
versa. Remote Sensing has the capability of providing large amount of
data of the whole world and also very frequently. GIS has the capability of
analyzing a large amount of data within no time. Likewise capability of GIS
would have no use without the development
of Remote Sensing technology , which provides voluminus data.