2013International Journal of Advanced Remote Sensing and GISRequires access

Remote Sensing and GIS Application in Change Detection Study Using Multi Temporal Satellite

P R Patekar, P L Unhale

Open publisher page 3 citations

Abstract

Land use/Land cover leads with how people are using the land. Change detection study gives service to analyze temporal data and detect changes which have been taken place in study region. Mapping land use/land cover (LULC) and change detection on GIS platform is an area of interest that has been attracts increasing attention. This paper is an attempt to assess the changes in land use/land cover Basin of Bhima River in Solapur district over a 14 year period. The aim of this study is to detect land use changes between 1991 to 2005 using satellite images of Landsat TM (1991) and ETM+ (2005). Landsat TM (1991) and ETM+ (2005) images were classified by using supervised classification method. In this method maximum likelihood classification algorithm technique is used. In the present study major changes occurred in Agriculture, fallow land and settlement. Population growth increase presser on land resources. The result of present study help to the researcher, environmental developer for understanding to real time condition manage land use more effectively according to the provide needs. Geographical Information System & Remote sensing technique play very important role in land use land cover change detection study. It is a user-friendly and accurate technique for environmental managers.

About this research paper

What this paper is about

Land use/Land cover leads with how people are using the land. Change detection study gives service to analyze temporal data and detect changes which have been taken place in study region. Mapping land use/land cover (LULC) and change detection on GIS platform is an area of interest that has been attracts increasing attention. This paper is an attempt to assess the changes in land use/land cover Basin of Bhima River in Solapur district over a 14 year period. The aim of this study is to detect land use changes between 1991 to 2005 using satellite images of Landsat TM (1991) and ETM+ (2005). Landsat TM (1991) and ETM+ (2005) images were classified by using supervised classification method. In this method maximum likelihood classification algorithm technique is used. In the present study major changes occurred in Agriculture, fallow land and settlement. Population growth increase presser on land resources. The result of present study help to the researcher, environmental developer for understanding to real time condition manage land use more effectively according to the provide needs. Geographical Information System & Remote sensing technique play very important role in land use land cover change detection study. It is a user-friendly and accurate technique for environmental managers.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Land use/Land cover leads with how people are using the land. Change detection study gives service to analyze temporal data and detect changes which have been taken place in study region. Mapping land use/land cover (LULC) and change detection on GIS platform is an area of interest that has been attracts increasing attention. This paper is an attempt to assess the changes in land use/land cover Basin of Bhima River in Solapur district over a 14 year period. The aim of this study is to detect land use changes between 1991 to 2005 using satellite images of Landsat TM (1991) and ETM+ (2005). Landsat TM (1991) and ETM+ (2005) images were classified by using supervised classification method. In this method maximum likelihood classification algorithm technique is used. In the present study major changes occurred in Agriculture, fallow land and settlement. Population growth increase presser on land resources. The result of present study help to the researcher, environmental developer for understanding to real time condition manage land use more effectively according to the provide needs. Geographical Information System & Remote sensing technique play very important role in land use land cover change detection study. It is a user-friendly and accurate technique for environmental managers.

Key concepts: Change detection, Land cover, Remote sensing, Land use, Geography, Built-up area, Land information system, Cartography

Related papers

Back to paper searchBrowse research topicsOriginal source
Remote Sensing and GIS Application in Change Detection Study Using Multi Temporal Satellite — Research Paper | ScholarLens