The aim was to build two operational models based on Object-Oriented analysis that could be used as tools for fuel type mapping. The method comprised the following steps: image correction (including atmospheric, geometric, and topographic correction), modification for each type of satellite imagery of a widely accepted fuel type standardization system, model construction using Object-Oriented Classification, and Comparison of the results obtained from the model developed on the LAND-SAT TM image with those obtained from that developed on the IKONOS image. The main dataset consisted of a LANDSAT TM image (1985) and an IKONOS image (2000).
The aim of this paper is to use a more accurate technique, Object Oriented Classification, which is based not only on spectral but also on spatial information (such as shape, texture and neighbouring objects). Until now, most of the techniques that have employed aerial photography or satellite imagery are based on differences within spectral information. A problem that remains unsolved is that an adequate classification method which is able to provide satisfactory results, has still not been developed. These factors have additional importance in the areas of forest protection and regeneration. The result of present study help to the researcher for understanding to real time condition manage land use more effectively according to the provide needs Geographical information system and Remote sensing techniques play important role in land use land cover change detection study.įuel type, as well as topography and microclimatic conditions, are some of the most important factors that should be taken into consideration for pre-fire planning. Population growth increase presser on land resources. In this study major changes occurred in forest, agriculture, settlement and water body.
#Satisfactory resource map software
The aim of this study is to detect land use, land cover changes between 2005 to 2015 using satellite images to Landsat 7 and Landsat 8 were digitizes in ArcGIS and by using the Markova chain model in IDRISI software the future probability change of LULC is predicted. This paper is an attempt to assess the decadal changes in land use land cover of Quepem tehsil. Change detection study gives service to analyze temporal data and detect changes which have been taken place in study region. The present study illustrates an integrated approach of remote sensing and GIS that is Geo-spatial techniques for land use land cover changes in Quepem tehsil based on the need and purpose to predict future scenario of Quepem taluka. Land use/land cover study is an important component in understanding the interactions of human activities with the geo-environment.
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