7 Benefits of Using Remote Sensing & GIS in Agriculture
                     7 Benefits of Using 
Remote Sensing & GIS in 
Agriculture
For real-time weather analysis and forecasts, floods, and agricultural 
areas seeded, lost, or damaged owing to floods and rainfall, remote 
sensing and Geographic Information System (GIS) technologies are often 
utilised.
Remote sensing and geographic information systems (GIS) have 
exploded in popularity in numerous industries for visualisation, 
monitoring, management, and prospective development over the last 
few decades. Without making any physical touch, remote sensing and 
GIS technology enable agencies to obtain trustworthy information on 
natural and man-made features, as well as process and interpret 
suitably phenomena occurring over the earth’s surface. Farmers 
nowadays rely on technical advancements.
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Estimation of Crop Sown 
Area
Crop sown area estimation is one of the most 
important aspects of agricultural remote 
sensing. In mapping and monitoring diverse 
crops’ sown area estimation, remote sensing is 
critical. Sentinel-1, 2, Landsat-8, Worldview-3, 
LISS-IV, and other satellite data give precise 
crop sown area and aid in agricultural loss 
estimates due to various catastrophic 
catastrophes.
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Normalized Difference Vegetation Index 
(NDVI)
his is generally used to monitor vegetation 
dynamics, especially for determining crop health 
status. The possibility of knowing crop 
phenology increases with NDVI since it explains 
crop chronology and its relationship to weather 
and climate (season).
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Crop Diseases Identification
Remote sensing technology allows for the 
spatial distribution of disease and pest 
information across a broad region at a 
reasonable cost. Crop infected areas such as 
Mealybug, Planthopper, and White Fly are found 
using satellite images and spatial analytic tools 
to provide an overview for analysing possibly 
contaminated areas.
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Soil Properties
Soil qualities are important in farm management 
since they directly affect yield production. 
Changes in farming systems and land 
management cause soil changes, compromising 
current and future capacity for primary 
production and crop provision, as well as 
micronutrient mapping.
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Flood Impact
The bulk of farmland is devastated every year 
during the Kharif season owing to flash floods or 
severe rains. Satellite remote sensing delivers 
valuable information by combining satellite 
pictures with ground-based data gathered by 
ground surveying teams to calculate precise 
damage assessments.
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NATCAT 
Modelling
Natural catastrophe modelling is a method that 
uses a probabilistic technique to anticipate the 
outcome and behaviour of natural hazards in 
real time or as a probable forecast. This involves 
risk mapping and hazard measurement utilising 
computer-simulated catastrophe models.
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Drone Image Analysis for Crop Damage 
Assessment
Drone image analysis is particularly beneficial in 
micro-level crop evaluation for hailstorm crop 
loss, horticulture tree counting, illnesses, and 
many other applications.
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Read More: 
https://falconsurveyme.wordpress.com/2022/05/24
/7-benefits-of-using-remote-sensing-gis-in-agricult
ure/
 
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