This document summarizes a remote sensing project for water resource management in agriculture in Jordan. The project aims to utilize satellite data and remote sensing to produce crop maps, calculate net crop water requirements, and assess water productivity. Key steps include analyzing satellite images using software to identify cloud cover and extract vegetation indices, validating results with field trips, and cooperating with various partners in Jordan on data processing and analysis to support water management goals. The expected outcomes are increased regional knowledge sharing, capacity building, and research on remote sensing applications for agriculture and water resources.

1. Remote Sensing
and
Water Management

2. ‫الهاشمية‬ ‫االردنية‬ ‫المملكة‬
The Hashemite Kingdom of
Jordan

3.  Remote sensing is the science of obtaining
information about objects or areas from a distance,
typically from aircraft or satellites.
 The use of computerized state of the art technologies
provides a rich and accurate database .different forms of
data (maps and images ) to allow all types of statistical
analysis.
Remote sensing is a method for getting information
about of different objects on the planet, without any
physical contacts with it.
What is remote sensing?

4. Advantages of Remote Sensing
• Provides a view for the large region
• Offers Geo-referenced information and digital
information
• Most of the remote sensors operate in every season,
every day, every time and even in real tough weather

5. Elements of Remote Sensing
Source:staff.aub.edu.lb

6. Remotely Sensed Data
6

7. Satellite pictures
Satellite imagery consists of photographs
from which collected by satellites.
•satellite images the entire Earth every 16
days
•The best time for images (9:40 – 10:20)
•Photo type (high resolution , medium
resolution , low resolution)
•Processing of images will give the needed
outcomes

8. Application of Remote Sensing in Agriculture
• Cultivated and irrigated areas and
farm borders .
• Spatial sites
• Water consumption
• Crop and cultivation pattern
• Growth period and season
• Water resources locations
• Monitoring of violations and
illegal use of water resources
Image source: www.ldeo.columbia.edu
Image source: www.geospectra.net

9. Natural resource Management
• Forestry: biodiversity, forest, deforestation
• Water source management
• Habitat analysis
• Environmental assessment
• Pest/disease outbreaks
• Impervious surface mapping
• Hydrology
• Mineral province
• Geomorphology
Application of Remote Sensing
Md. Bodruddoza Mia

10. Land Use:
Land cover means any surface cover on the ground
which can include vegetation, water, lake, mountain.
The attributes measured by remote sensing techniques
relate to land cover, from which land use can be
inferred, particularly with ancillary data or a priori
cognition.
Application of Remote Sensing

11. Some Image Processing Software
• ERDAS Imagine
• ENVI
• ILWIS
• ArcGIS
11

12. Remote Sensing project
“ The projects aims at utilizing space technology in water resource
management for Agriculture sector and building capacity of the
Ministry as a main goal of the project “
Methodology
•Produce crop maps through the use and analysis of
RS data and satellite images(high resolution )
•Calculate NCWR
•Field trip to check map's accuracy

13. Data analysis
•Upload RS data through website (landsat.usgs.gov)
•Use of software (2hu and woodcock2012) Fmask to
determine the cloudy location each maps
•Software (AREGIS) used the cloudy location and reduce
their effect
•Add the resulting layer to show the percentage of the
cloud to determine the images will be used to prepare
the irrigated crop maps.
•Multispectral radiometer is used to calibrate the RS data

14. •Equation application is introduced on all images using
ERDAS imaging and produce NDVI according to :
NDVI = B5 – B4/ B5 +B4
B4 :Red wave B5 :Wave infrared
•Indicator between ( -1 to +1 )
•Negative value : surface water
•Zero indicates arid land
•Value is raised to a positive value up to (+1) to vegetation
areas, where the highest value was recorded for trefoil and
fodder crops

15. NCWR
ETC = ET0 X KC
NCWR = ETC X AREA
ET0 :calculated by using plant ref. available on FAO website
KC : crop factor as FAO56
NCWR can be calculated from the daily weather data and
records
•The result may be higher than the actual figures on the
assumption of ideal conditions of irrigation and efficiency in
irrigation, space, green coverage, and it assures plant don’t
with hold stress.

26. Jordan Meteorological Department
is responsible for the collection of routine data.

27. Crop Water productivity
“The relation between crop production to water use”
Key factor to evaluate water management in irrigation

28. Data and images are processed in cooperation
with Royal Jordanian Geographic Center, JOR.
Universities , research centers and the private
sector.

29. The expected outcomes of the workshop
•Exchange the experience and knowledge between
the countries in the region
•Building capacity and training, workshops and
conferences .
•Enable and providing support the target countries
to get software and hardware
•More scientific and specific research