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. Visit: https://www.falconsurveyme.com/

1. 7 Benefits of Using Remote
Sensing & GIS in Agriculture

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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-agriculture/

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