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Library Forest fire risk assessment in parts of Northeast India using geospatial tools

Forest fire risk assessment in parts of Northeast India using geospatial tools

Forest fire risk assessment in parts of Northeast India using geospatial tools

Resource information

Date of publication
декабря 2011
Resource Language
ISBN / Resource ID
AGRIS:US201400004439
Pages
641-647

Forest fire is a major cause of changes in forest structure and function. Among various floristic regions, the northeast region of India suffers maximum from the fires due to age-old practice of shifting cultivation and spread of fires from jhum fields. For proper mitigation and management, an early warning of forest fires through risk modeling is required. The study results demonstrate the potential use of remote sensing and Geographic Information System (GIS) in identifying forest fire prone areas in Manipur, southeastern part of Northeast India. Land use land cover (LULC), vegetation type, Digital elevation model (DEM), slope, aspect and proximity to roads and settlements, factors that influence the behavior of fire, were used to model the forest fire risk zones. Each class of the layers was given weight according to their fire inducing capability and their sensitivity to fire. Weighted sum modeling and ISODATA clustering was used to classify the fire zones. To validate the results, Along Track Scanning Radiometer (ATSR), the historical fire hotspots data was used to check the occurrence points and modeled forest fire locations. The forest risk zone map has 55.63% of agreement with ATSR dataset.

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Authors and Publishers

Author(s), editor(s), contributor(s)

Puri, Kanchan
Areendran, G.
Raj, Krishna
Mazumdar, Sraboni
Joshi, P. K.

Publisher(s)
Data Provider
Geographical focus