Remote sensing allows obtaining information about objects on Earth without direct physical contact. It has various applications in agriculture, forestry, urban planning, transportation, land use mapping, natural resource management, and coastal resource mapping. Remote sensing can be used to map and monitor soil conditions, crop growth, forest resources, urban expansion, roads, land use, water resources, habitats, and coastal changes over time. The data obtained through remote sensing provides valuable spatial information to support decision making and planning in various sectors.

1. Presented By
K. Kannadasan
Guest Lecturer MKU, Madurai

2. Remote sensing is a method for getting information
about of different objects on the planet, without any
physical contacts with it.
Image Source: cimss.ssec.wisc.edu

3. AGRICULTURE
• - Soil sensing
- Farm classification
- Farm condition assessment
- Mapping of farm and
agricultural land characteristics
- Mapping of land management
practices  Wageningen UR 2002

4. • Crop acreage estimation
• Crop modeling for yield & production forecast /
estimation
• Crop & Orchard monitoring
• Timely availability of crop statistics for decision making
& planning
• Crop growth monitoring
• Soil status monitoring
• Regular reports regarding total area under cultivation

5. FORESTRY
• Satellite image based forest resource mapping and updation
• Forest change detection
• Forest resource inventory
• GIS database development
• Availability of baseline information
• Planning for aforestation strategies
• Futuristic resource planning
• Sustainability of environment
• Wild life conservation & development for recreation purpose

6. URBANIZATION & TRANSPORTATION
 Urban planning
 Roads network and transportation
planning
 City expansion
 City boundaries by time
 Wetland delineation

7. • Mapping & updation of city/town maps
• Urban sprawl monitoring
• Town planning
• Facility management
• GIS database development Better decision support,
planning & management
• Rapid information updation
• Infrastructure development monitoring
• Spatial information analysis

8. Generating different maps from remotely
sensed data can be so effective and
valuable. A classification of sensing
elements and methodologies to generate
remotely sensed models are essential
Radar image of a continuously clouded area
Map with the road network
 Wageningen UR 2002

9. LANDUSE / LANDCOVER MAPPING
• Urban/Rural infrastructure
• Water logging & salinity
• Assessment of spatial distribution of land resources
• Infrastructure monitoring
• Availability of usable land
• Future planning for better land management for socio-
economic development

10. NATURAL RESOURCE MANAGEMENT
 Water source management
 Habitat analysis
 Environmental assessment
 Pest/disease outbreaks
 Impervious surface mapping
 Hydrology
 Mineral province
 Geomorphology

11. COAST RESOURCE MAPPING
• Change detection
• Hazard impacts
• Aqua-culture zones
• Availability of updated information on
mangroves forest
• Planning strategies for aforestation and
deforestation trend
• Timely Intervention in specific areas as and
when needed