Improvement in Precision of Crop Acreage Estimation by Remote Sensing Using Frequency Distribution Based Stratification

被引：2
作者：
Bhagia, Nita [1 ]
Rajak, D. R. [1 ]
Patel, N. K. [1 ]
机构：
[1] ISRO, Ctr Space Applicat, Crop Inventory & Modeling Div, Agr Terr Biosphere & Hydrol Grp,EPSA, Ahmadabad 380015, Gujarat, India
来源：
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING | 2011年 / 39卷 / 02期
关键词：
Acreage; Classification; Stratification; Precision; OPTIMUM STRATIFICATION;
D O I：
10.1007/s12524-011-0098-y
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
A study was conducted to improve precision of crop acreage adopting stratified random sampling approach. Remotely sensed data was used to classify mustard crop for the states of Rajasthan, Madhya Pradesh, Uttar Pradesh, Gujarat and Haryana covering 81% of mustard area of India. A grid of size 5 x 5 km was super-imposed on classified image of study area and proportion of mustard crop within the grid was ascertained. Crop proportion was used to determine strata. Stratification was done based on equal interval of proportion, equal sample number and cumulative square root of frequency method. Cumulative square root of frequency method gave highest precision in all the cases.
引用
收藏
页码：153 / 160
页数：8
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