Crop Area Estimation from UAV Transect and MSR Image Data Using Spatial Sampling Method: a Simulation Experiment

被引：5
|
作者：
Pan, Yaozhong [1 ]
Zhang, Jinshui [1 ]
Shen, Kejian [1 ]
机构：
[1] Beijing Normal Univ, Beijing 100875, Peoples R China
来源：
SPATIAL STATISTICS 2011: MAPPING GLOBAL CHANGE | 2011年 / 7卷
关键词：
Crop Area Estimation; UAV Transect; MSR image; sampling; classifiation accuracy;
D O I：
10.1016/j.proenv.2011.07.020
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper proposed a spatial sampling method, this method had proved that using stratified random sampling, choosing area-scale index as auxiliary variable, using simulated MSR image and UAV image can improve the crop area estimation accuracy over large area, the crop area estimation accuracy can be more than 95% under a 95% CI. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Spatial Statistics 2011
引用
收藏
页码：110 / 115
页数：6
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