Deriving cropping system performance indices using remote sensing data and GIS

被引:48
|
作者
Panigrahy, S [1 ]
Manjunath, KR [1 ]
Ray, SS [1 ]
机构
[1] ISRO, Ctr Space Applicat, RESPIA, Agroecol & management Div,ARG, Ahmedabad 380015, Gujarat, India
关键词
Area diversity index - Cropping system - Food production - Multiple cropping index;
D O I
10.1080/01431160500114698
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The cropping system approach is a holistic management of variant and invariant resources to optimize the food production. Various indices are used to assess and evaluate the efficiency and sustainability of the systems. These indices are generally computed from the data collected by traditional survey methods that are time consuming and non-spatial. An attempt has been made to derive such indices using satellite remote sensing data for the state of West Bengal, India. Three indices-Multiple Cropping Index (MCI), Area Diversity Index (ADI) and Cultivated Land Utilization Index (CLUI)-were attempted. Multi-date, multisensor data from Indian Remote Sensing Satellite (IRS) and Radarsat Synthetic Aperture Radar (SAR) were used to derive cropping pattern, crop rotation, and crop calendar. Crop type, acreage, rotation and crop duration were used as inputs to compute the indices at district and state level. The indices were categorized as high, medium and low to evaluate the performance of each of the 16 districts. The average MCI of the state derived was 140. At district level it varied from 104 to 177. The average ADI of state was 2.5 and varied from 1.5 to 5.0.
引用
收藏
页码:2595 / 2606
页数:12
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