Geostatistics-Based Technique for NDVI Image Estimation

详细信息   

• 责任者：Jiang Xiaowei (School of Water Resources and Environment ; China University of Geosciences ; Beijing 100083 ; China) ; Wan Li
• 刊名：Earth Science Frontiers
• 出版年：2008
• 卷期：15(4)
• 关键词：遥感 ; remote sensing ; 地质统计学 ; geostatistics
• 页码：p.71-80
• 图表：14 illus., 3 tables, 13 refs.
• 分类号：1600
• issnNo：ISSN1005-2321
• isbnNo：CN11-3370/P

摘要

///The objective of this paper is to examine the effect of estimation of NDVI images by four geostatistical approaches, Ordinary Kriging (OK), Universal Kriging (UK), Indicator Kriging (IK) and Sequential Indicator Simulation (SIS). Using the undersampled data of NDVI from NOAA/AVHRR image of the Hetian River Watershed, both estimates and variances from OK, UK and IK are obtained. After comparison, we found that the images of OK and UK estimates can both successfully restore the overall trend of the original image, but the image of IK estimates is not good enough The authors also found that the images of OK and UK variances only reflect the sampling configuration because OK and UK variances are independent of the data values locally. However, owing to the fact that IK variances are conditional on the data values, they show the errors of estimates perfectly, and the magnitudes of IK variances are consistent with the uncertainty of remotely sensed data.