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Remote Sensing Applications: Agriculture, Forestry, Water & GLOF

AI draft, not yet reviewedUnit 7: Applications of Remote SensingAbout 2 minutes

Idea in plain words

Agricultural Monitoring: Crop type identification, acreage estimation, crop vigor tracking (NDVI), and soil moisture estimation.

Exam tip

High-yield exam topic (Very High).

Explanation

Remote sensing provides irreplaceable monitoring capabilities across the fragile Himalayan ecosystem of Nepal. Optical satellite imagery cannot penetrate monsoon clouds; Synthetic Aperture Radar (SAR, Sentinel-1) penetrates rain and clouds to delineate flood boundaries across the southern Terai plains in real time. In high mountain regions, multitemporal satellite archives track expanding moraine-dammed glacial lakes, detecting terminal moraine dam instability and calculating downstream flood wave arrival times to protect downstream villages.

Key points

  • Forestry Applications: Deforestation tracking, forest fire scar mapping, timber biomass estimation, and canopy height modeling.
  • Hydrology & Flood Mapping: Delineating surface water bodies using Normalized Difference Water Index (NDWI), monitoring flood inundation extents via SAR imagery.
  • Cryosphere & GLOF Monitoring in Nepal: Tracking Himalayan glacier retreat, mapping expanding supraglacial lakes (e.g., Tsho Rolpa, Imja Lake) to mitigate catastrophic outburst floods.
  • Urban Planning: Monitoring urban sprawl, tracking impervious surface expansion, and analyzing urban heat island (UHI) effects using thermal infrared bands.

Example

Example

Monitoring Imja Glacial Lake in the Everest region: satellite image analysis revealed the lake surface expanded from 0.03 km² in the 1960s to over 1.3 km², leading to engineered lake lowering interventions.

Code examples

/*
Key Remote Sensing Spectral Indices:
1. Normalized Difference Vegetation Index (NDVI):
   NDVI = (NIR - Red) / (NIR + Red)
   (Values > 0.4 indicate dense green vegetation)

2. Normalized Difference Water Index (NDWI - McFeeters):
   NDWI = (Green - NIR) / (Green + NIR)
   (Values > 0 indicate open water bodies; suppresses vegetation)

3. Normalized Burn Ratio (NBR - Fire Scars):
   NBR = (NIR - SWIR) / (NIR + SWIR)
*/

Exam questions

  • [10 Marks] Explain how remote sensing is applied in Nepal for monitoring Glacial Lake Outburst Floods (GLOFs) and mapping flood inundation using Synthetic Aperture Radar (SAR).
  • [8 Marks] Formulate the mathematical equations and explain the physical logic behind NDVI (Vegetation Index) and NDWI (Water Index).

BIT436CO

Switch Course

Unit 1: Concept and Scope of Remote Sensing

Unit 2: Concept of Electromagnetic Radiation (EMR)

Unit 3: Types and Characteristics of Sensor

Unit 4: Remote Sensor Platforms and Satellite Orbits

Unit 5: Space Imaging Satellites

Unit 6: Integration of GIS and Remote Sensing

Unit 7: Applications of Remote Sensing

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