Project Information
| Code | MIRSAC-PRJ-1 |
|---|---|
| Category | Land Resources |
| Time Period | March 1990 |
| Funding Agency | National Remote Sensing Centre (NRSC), Hyderabad |
Land Use / Land Cover Mapping of Aizawl District, Mizoram
Project Description
The Land Use / Land Cover (LULC) mapping of Aizawl District, Mizoram was undertaken to generate a systematic and spatially consistent assessment of land use patterns across the district using remote sensing and GIS techniques. The project aimed to establish a reliable geospatial baseline that would support district-level planning, environmental monitoring, and sustainable resource management in one of Mizoram’s most rapidly transforming regions. The primary objective of the project was to identify, classify, and map the major land use and land cover categories prevailing within the administrative boundary of Aizawl District. The study sought to produce standardized thematic maps and associated spatial statistics that could be readily used by line departments, planners, and researchers. Emphasis was placed on creating a uniform and replicable dataset that could also serve as a reference for future land use change studies.
Satellite remote sensing data formed the core input for the analysis, supplemented by GIS-based spatial processing and interpretation. Established land use / land cover classification schemes were followed to ensure thematic consistency with national and institutional standards. Image interpretation techniques were applied to delineate different land cover classes, and ancillary datasets such as administrative boundaries and existing reference information were used to enhance spatial accuracy. Institutional expertise and domain knowledge played a key role in refining classifications, particularly in areas with mixed or transitional land use patterns.
Summarize Metadata
Mapping Scale: 1:250,000
Satellite data & Year: Landsat TM, 1989
Major Land Use / Land Cover categories: Built-up, Agriculture, Forest, Water bodies, Shifting cultivation & Abandoned jhum.
Collaborating/Funding Agency: National Remote Sensing Centre (NRSC), Hyderabad
Report Publication Month/Year: March, 1990
Satellite remote sensing data formed the core input for the analysis, supplemented by GIS-based spatial processing and interpretation. Established land use / land cover classification schemes were followed to ensure thematic consistency with national and institutional standards. Image interpretation techniques were applied to delineate different land cover classes, and ancillary datasets such as administrative boundaries and existing reference information were used to enhance spatial accuracy. Institutional expertise and domain knowledge played a key role in refining classifications, particularly in areas with mixed or transitional land use patterns.
Summarize Metadata
Mapping Scale: 1:250,000
Satellite data & Year: Landsat TM, 1989
Major Land Use / Land Cover categories: Built-up, Agriculture, Forest, Water bodies, Shifting cultivation & Abandoned jhum.
Collaborating/Funding Agency: National Remote Sensing Centre (NRSC), Hyderabad
Report Publication Month/Year: March, 1990
