利用高分辨率卫星数据估算哈里亚纳邦(印度)夏季水稻

R. S. Hooda, M. Yadav, Mithun Sharma, R. Prawasi
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引用次数: 6

摘要

2006年4月至6月期间来自Resourcesat的多日期LISS-III数据和5月中旬的单日期LISS-IV传感器数据(只要有)用于哈里亚纳邦四个主要地区的2006年作物面积估计,这些地区主要种植夏季水稻。2000年的面积估计只使用了多日期LISS-III数据。采用监督与非监督混合分类方法对LISS-IV数据中的小作物进行判别。基于多日期LISS-III数据的作物剖面有助于精确定位LISS-IV数据的训练地点。利用非农业掩模对居民点、荒地、森林等非农业区域进行掩模,以提高精度。研究表明,2000年4个地区的夏水田面积为39800公顷,到2006年已减少到1250公顷。2000年,Fatehabad、Kaithal、Kurukshetra和Karnal的地区智慧面积分别为4981、3228、9118和22475公顷,2006年分别为383、197、176和493公顷。还在ARC/GIS中编制了夏稻的地区作物分布图,显示了作物的范围和分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of summer paddy in Haryana (India) using high resolution satellite data
Multi-date LISS-III data from Resourcesat for the period April to June, 2006 and single date LISS-IV sensor data of mid May, wherever available, was used for area estimation of the crop for the year 2006 for four major districts of Haryana state where majority of summer paddy is grown. For area estimation for the year 2000, only multi-date LISS-III data was used. Hybrid approach of supervised and unsupervised classification was used for discrimination of minor crops in LISS-IV data. Multi-date LISS-III data based crop profile helped in precise location of training sites for LISS-IV data. To improve accuracy the non- agricultural areas like settlements, wastelands, forest etc. were masked out by using non-agricultural mask. Study indicated that an area of 39,800 ha was under summer paddy in the year 2000 which has been reduced to 1250 ha in the year 2006 in all the four districts. The district wise area for Fatehabad, Kaithal, Kurukshetra and Karnal was 4981, 3228, 9118 and 22475 ha for the year 2000 and 383, 197, 176 and 493 ha for the year 2006, respectively. District-wise crop maps of summer paddy, showing extent & distribution of the crop, were also prepared in ARC/GIS.
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