Satellite Image Processing for Land Use and Land Cover Mapping
Satellite Image Processing for Land Use and Land Cover Mapping
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用于土地利用和土地覆盖测绘的卫星图像处理
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
J. Senthilnath
中科院分区：
文献类型：
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作者：
Ashoka Vanjare;S. N. Omkar;J. Senthilnath
本文利用多时相、多光谱Landsat卫星影像对班加罗尔地区的城市增长进行了分析和讨论。城市增长分析有助于理解班加罗尔地区的变化检测。变化检测研究了一个为期39年，感兴趣的区域面积为2182公里。城市增长的主要原因是人口的增加。在印度，由于人口的增加，城市化迅速发展，持续的发展影响了自然资源的存在。因此，观察和监测自然资源（土地使用）发挥着重要作用。研究者利用遥感资料进行变化侦测分析。连续使用遥感数据有助于研究人员进行变化检测分析。本研究的主要目的是监测土地覆盖变化的班加罗尔区，其中包括农村和城市地区使用多时相和多传感器陆地卫星多光谱扫描仪（MSS），专题制图仪（TM），增强型专题制图仪加（ETM+）MSS，TM和ETM+图像捕获的年份1973年，1992年，1999年，2002年，2005年，2008年和2011年。采用最大似然分类法确定时间变化。分类结果包括四个土地覆盖类，即建设用地，植被，水和荒地。结果表明，该地区是密集的开发，导致减少了水和植被的区域。贫瘠土地不断向建成区转化，影响了水和植被区。总体而言，从1973年到2011年，城市地区的比例从4.6%增加到25.43%，主要原因是城市化。
In this paper, urban growth of Bangalore region is analyzed and discussed by using multi-temporal and multi-spectral Landsat satellite images. Urban growth analysis helps in understanding the change detection of Bangalore region. The change detection is studied over a period of 39 years and the region of interest covers an area of 2182 km. The main cause for urban growth is the increase in population. In India, rapid urbanization is witnessed due to an increase in the population, continuous development has affected the existence of natural resources. Therefore observing and monitoring the natural resources (land use) plays an important role. To analyze changed detection, researcher’s use remote sensing data. Continuous use of remote sensing data helps researchers to analyze the change detection. The main objective of this study is to monitor land cover changes of Bangalore district which covers rural and urban regions using multi-temporal and multi-sensor Landsat multi-spectral scanner (MSS), thematic mapper (TM), Enhanced Thematic mapper plus (ETM+) MSS, TM and ETM+ images captured in the years 1973, 1992, 1999, 2002, 2005, 2008 and 2011. Temporal changes were determined by using maximum likelihood classification method. The classification results contain four land cover classes namely, built-up, vegetation, water and barren land. The results indicate that the region is densely developed which has resulted in decrease of water and vegetation regions. The continuous transformation of barren land to built-up region has affected water and vegetation regions. Generally, from 1973 to 2011 the percentage of urban region has increased from 4.6% to 25.43%, mainly due to urbanization.
DOI：
10.1016/j.isprsjprs.2010.10.010
发表时间：
2011-05-01
期刊：
ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing (ISPRS)
影响因子：
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作者：
Lu D;Moran E;Hetrick S
通讯作者：
Hetrick S