Critical Assessment of Land Use Land Cover Dynamics Using Multi-Temporal Satellite Images

Md Mondal,Martin Kappas,Nayan Sharma,P Garg

doi:10.3390/environments2010061

Md Mondal, Martin Kappas + Show 2 more

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https://doi.org/10.3390/environments2010061

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Abstract

An attempt has been made to assess the dynamics of land use land cover change (LULCC) in the study area. LANDSAT-5 TM, IRS-1C LISS III, IRS-P6 LISS III images of 1987, 1997 and 2007, respectively, were digitally classified for land use land cover (LULC) mapping. The dynamics of LULCC critically analyzed for the two time periods 1987–1997 and 1997–2007. The LULCC analyzed in terms of quantity of change and allocation of change. Relative changes; gross gains, gross losses and persistence; net change and swap changes of LULC of the study area examined carefully. The study provided a better understanding of the LULCC pattern. The total change during (1987–1997) was 68.40% and during (1997–2007) was 80.12%. Major exchanges of areas are in between degraded forest and built up land followed by dense forest and degraded forest. Others dominant systematic transitions are: degraded forest to built up land; dense forest to degraded forest; agricultural land to built up; degraded forest to land with or without scrub; land with or without scrub to built up; and in between river and sandy area. The transformation from forest to built up land especially built-up area constitutes a large percentage of the total landscape. The direct beneficiaries of this research will include resource managers and regional planners as well as others scientific community.

Highlights

Remote sensing and Geographical Information System (GIS) have emerged as powerful tools to create spatial inventory on natural resources and the state of environment
The quantitative results and spatial distribution of land use and land cover assessment based on digital classification of satellite images for three different years 1987, 1997 and 2007 are shows in
The land use and land cover types derived from digital image classification was validated

Summary

Introduction

Remote sensing and Geographical Information System (GIS) have emerged as powerful tools to create spatial inventory on natural resources and the state of environment. Remote sensing and GIS, and process-based modeling play crucial roles in spatial and dynamic assessment of an area. Some advantages of remote sensing in land use and land cover mapping are; (i) Remote sensing techniques provide reliable, accurate, baseline information for land use and land cover (LULC) mapping, generalized land use and land cover classification for large areas, their delineation and spatial distribution categories, are possible by satellite imagery, because of its synoptic coverage of large areas; (ii) Study on the structure and dynamics of land use is possible because of repetitive coverage of the same area; (iii) Monitoring the land use for optimal use on long term basis is possible by remote sensing techniques; multispectral multi-temporal imagery enhances land use information; (iv) Land use mapping both by visual interpretation and computer based digital image processing analysis is possible by remote sensing technique; (v) Land use maps can be prepared more speedily, accurately and economically by remote sensing techniques; and (vi) Land use maps prepared will form a basic input in planning and management decisions. There has been a growing trend in the development of change detection techniques using remote sensing data to assess the land use land cover changes

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