...
首页> 外文期刊>Journal of Applied Remote Sensing >Comparison of MODIS derived land use and land cover with Ministry of Agriculture reported statistics for India
【24h】

Comparison of MODIS derived land use and land cover with Ministry of Agriculture reported statistics for India

机译:农业部与印度农业部比较MODIS得出的土地利用和土地覆盖率的报告统计数据

获取原文
获取原文并翻译 | 示例

摘要

The purpose of the study is to evaluate the suitability of moderate-resolution imaging spectroradiometer (MODIS) data to study the land use land cover over India. The study is based on secondary data sets pertaining to forest, cropland, pasture, and barrenland obtained from Directorate of Economics and Statistics (DES) and MODIS (Terra) global land use land cover data yearly composite from 2002 to 2005. A family of statistical and mathematical techniques is adopted here in order to compare the MODIS data with DES statistics. The comparison at the country level shows estimated forest cover has least uncertainty compared to pasture and barrenland. Comparison at the state level, on the other hand, shows high degree of association between the data sets in cropland (R~2 = 0.9), followed by forest cover and pastureland. Barrenland shows weakest association between DES and MODIS. The computed average accuracy in cropland shows a level of 84% and has been chosen as the best fitted land cover category among all land cover classes selected for the study. Hierarchical clustering of the MODIS cropland at the state level based on the estimated accuracy shows that, except for Andhra Pradesh, Tamilnadu, Haryana, West Bengal, Chhattisgarh, and Orissa, which are far off from the true estimate, the rest of the states are in closer correspondence of the cropland statistics reported by Ministry of Agriculture.
机译:这项研究的目的是评估中分辨率成像光谱仪(MODIS)数据是否适合研究印度的土地利用土地覆盖。该研究基于从经济与统计局(DES)和MODIS(Terra)获得的2002年至2005年全球土地利用土地覆盖数据的有关森林,农田,牧场和荒地的二手数据集。为了将MODIS数据与DES统计数据进行比较,此处采用了数学技术。在国家一级的比较显示,与牧场和荒地相比,估计的森林覆盖率具有最小的不确定性。另一方面,在州一级进行的比较表明,耕地数据集之间的关联度很高(R〜2 = 0.9),其次是森林覆盖率和牧场。 Barrenland显示DES与MODIS之间的关联最弱。计算出的农田平均准确度显示出84%的水平,并被选为研究中所有土地覆盖类别中最适合的土地覆盖类别。基于估计精度的州级MODIS农田的分层聚类表明,除了安得拉邦,泰米尔纳德邦,哈里亚纳邦,西孟加拉邦,恰蒂斯加尔邦和奥里萨邦(与真实估计相距甚远)外,其余州为与农业部报告的耕地统计数据更接近。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号