ANALYSIS OF VARIOGRAMS WITH VARIOUS SAMPLE SIZES FROM A MULTISPECTRAL IMAGE
Variogram plays a crucial role in remote sensing application and geostatistics. It is very important to estimate variogram reliably from sufficient data. In this study, the analysis of variograms with various sample sizes of remotely sensed data was conducted. A 100x100-pixel subset was chosen from an aerial multispectral image which contains three wavebands, Green, Red and near infra-red (NIR). NDVI image also was derived from the subset image. These four image datasets were imported into R software for spatial analysis. Variograms were examined on these four full image datasets and sub-samples with design-based simple random sampling method. Half sample size of the subset image is enough to estimate the variogram for NIR and Red wavebands. To map the variation on NDVI within the weed area, sampling interval should smaller than 12 m. The information will be particularly important for kriging and also give a good guide of field sampling.
Variogram Multispectral image Geostatistics
Huihui Zhang Yubin Lan Ron Lacey Yanbo Huang W.Clint Hoffmann Dan Martin Ganesa C.Bora
Department of Biological and Agricultural Engineering Texas A&M University,College Station,TX 77845 USDA-ARS,2771 F&B Road,College Station,TX 77845 USDA-ARS,141 Experiment Station Road,Stoneville,MS Department of Agricultural and Biosystems Engineering North Dakota State University,Fargo,ND 58108-6
国际会议
北京
英文
1-15
2009-10-14（万方平台首次上网日期，不代表论文的发表时间）