• Kartic Bera
• Pabitra Banik

Under the climate risk study, historical land use/ land cover (LU/LC) change identification is very relevant; because earth surface cover depends on climatic condition; hence good soil zone appears as a fallow land in LU/LC classification not only in dry-land area but also all over the world. Once the LU/LC is an important factor in the regional economy, it is also closely related to population growth. LU/LC dynamic in the West Bengal dry-land area was assessed by analyzing four Multi-temporal Landsat images from Landsat 5 Thematic Mapper (TM) land use map in 1985, 1995, 2005, & 2015 by using Erdas 2014 & Arc GIS 10.6 software, while 2015 was used to validate the predictions of model using the ground-based land cover image. The linear regression model is a statistical model about the trends forecast, and if current artificial factors continued, the results would gradually change along with a certain trend; and tend to stabilize in a long time and reach a balanced state at last. After validating the model (84.85%), future LU/LC changes for 2025 & 2035 were predicted by the model. The result shows that crop land and fallow land gradually decrease. On the other hand, built-up land, water bodies, shrub land increase significantly. The predicted LU/LC scenario would provide useful inputs for effective, pragmatic management of the districts and a direction for an effective land use policy making also help in biodiversity conservation, and for mitigating climate change.

Decadal, LU/LC, Rarh, Prediction, Gain/Loss

"Statistical Model based decadal Land Use/ Land Cover Change identification and Prediction in & around West Bengal Dry-Land area", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.h90-h105, April-2022, Available :http://www.jetir.org/papers/JETIR2204712.pdf

"Statistical Model based decadal Land Use/ Land Cover Change identification and Prediction in & around West Bengal Dry-Land area", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. pph90-h105, April-2022, Available at : http://www.jetir.org/papers/JETIR2204712.pdf