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Sampling methods have to be applied in agricultural condition monitoring at national scale. When selecting sampling methods, more attention needs to be paid not only to objects monitored, but also to ...
The experiments were conducted for monitoring crop area by spatial sampling methods in a winter wheat main production region with a size of 42Km×42Km in Hengshui City, Hebei Province in China to optim...
A simple simulator was developed to test whether airborne laser scanning can be used as a strip sampling tool for forest inventory purposes. The simulator is based on the existing two stages,grid base...
Airborne laser scanning (lidar) can be a valuable tool in double-sampling forest survey designs. Lidar-derived forest structure metrics are often highly correlated with important forest inventory vari...
In this paper, we analyses problems that remote sensing technique met in China. And provide a new methodology on stratified sampling technique. During the stratification procedure, physical factors,...
Accuracy assessment is an important step in the process of analyzing remote sensing data. It determines the value of the resulting data to a particular user, i.e. the information value. Remote sensin...
The present investigation describes a method for sampling bidirectional reflectance information from multiangular airborne images.The method uses high resolution surface models in the determination of...
In this paper, the MODIS remote sensing data, featured with low-cost, high-timely and moderate/low spatial resolutions, in the North China Plain (NCP) as a study region were firstly used to carry out ...
The paper presents a recent 3D scanning project performed with long range scanning technology showing how a complex sampled dataset can be processed with the features available in MeshLab, an open sou...
Validation is an important step of land cover mapping. To find a better sampling method for validation, stratified random sampling, simple random sampling, and use of training data for validation were...
Confusion matrix and derived global indices (kappa, overall accuracy, producer accuracy) are widely accepted as a standard method for the accuracy assessment of land use/land cover maps. In order to ...

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