Remote Sensing and Water Management, Awni Kloup
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Transcript of Remote Sensing and Water Management, Awni Kloup
Remote Sensing
and
Water Management
المملكة االردنية الهاشميةThe Hashemite Kingdom of
Jordan
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?
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
Elements of Remote Sensing
Source:staff.aub.edu.lb
Remotely Sensed Data
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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
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
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
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
Some Image Processing Software
• ERDAS Imagine
• ENVI
• ILWIS
• ArcGIS
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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
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
•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
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.
Jordan Meteorological Department
is responsible for the collection of routine data.
Crop Water productivity
“The relation between crop production to water use”
Key factor to evaluate water management in irrigation
Data and images are processed in cooperation with Royal Jordanian Geographic Center, JOR. Universities , research centers and the private
sector.
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
•