7 Benefits of Using Remote Sensing & GIS in Agriculture

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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 earths 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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