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Book ChapterDOI

Prediction of Land Cover Changes in Vellore District of Tamil Nadu by Using Satellite Image Processing

M. Prabu, +1 more
- pp 87-100
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TLDR
In this article, the authors proposed some remedial measures to protect agriculture of Vellore district and found out the land cover changes and predict how the Vellores district in future.
Abstract
Prediction of land cover changes is important to evaluate the land use or land cover changes to monitor the land use changing aspects for the Vellore district. Due to land use and land cover change, most of the rural areas around the Vellore district become unable to cope with environmental risk and agriculture. Population is one of the main issues in increasing the land cover changes in Vellore district. From the satellite, data can easily find out the changes in Vellore district. Result is compared with real time to show the extreme changes in the study area. Vegetation cover decreased, and settlement and built up areas increased due to increasing population. The Objective is to find out the land cover changes and predict how the Vellore district in future. And also, this study suggests some remedial measures to protect agriculture of Vellore district.

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Citations
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References
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Journal ArticleDOI

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TL;DR: In this paper, the authors developed a methodology to map and monitor land cover change using multitemporal Landsat Thematic Mapper (TM) data in the seven-county Twin Cities metropolitan area of Minnesota for 1986, 1991, 1998, and 2002.
Journal ArticleDOI

Urban Land-Cover Change Detection through Sub-Pixel Imperviousness Mapping Using Remotely Sensed Data

TL;DR: In this article, the authors developed a Sub-pixel Imperviousness Change Detection (SICD) approach to detect urban land-cover changes using Landsat and high-resolution imagery.
Journal ArticleDOI

Comparison of methods for land-use classification incorporating remote sensing and GIS inputs

TL;DR: In this article, the authors explore low-cost techniques for combining current satellite RS data together with data from the Israeli Geographic Information System (GIS) in order to create a relatively accurate and current land-use map for the northern Negev.
Journal Article

Large area mapping of land-cover change in Rondônia using multitemporal spectral mixture analysis and decision tree classifiers : Large-scale biosphere-atmosphere experiment in Amazonia (LBA)

TL;DR: In this paper, a multistage process was used to map primary forest, pasture, second growth, urban, rock/savanna, and water using 33 Landsat scenes acquired over three contiguous areas between 1975 and 1999.
Journal ArticleDOI

Large area mapping of land-cover change in Rondônia using multitemporal spectral mixture analysis and decision tree classifiers

TL;DR: In this paper, a multistage process was used to map primary forest, pasture, second growth, urban, rock/savanna, and water using 33 Landsat scenes acquired over three contiguous areas between 1975 and 1999.
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