DocumentCode
2858463
Title
Estimating vegetation fractional Coverage of Steppe based on Multi-spatial Resolution Remotely Sensed images
Author
Li, Xiao-bing ; Chen, Yun-Hao ; Chen, Zhi-Jun ; Zhang, Yun-Xia ; Wang, Hong
Author_Institution
Key Lab. of Environ. Change & Natural Disaster of Minist. of Educ., Beijing Normal Univ., Beijing
fYear
2006
fDate
July 31 2006-Aug. 4 2006
Firstpage
1953
Lastpage
1955
Abstract
In this study, vegetation fractional coverage (VFC) of steppe was taken as the study object. Based on the Bottom-up method, we established the two-stage experiential model for estimating vegetation fractional coverage. In addition, this newly-established model is compared with sub-pixel model and common model that is acquired by simply regressing field data and remotely sensed data with moderate spatial resolution. The result suggests the two-stage experiential model for estimating vegetation fractional coverage successfully realize the aim of extending field data to local region, thereby making the spatial scale transformation of data true.
Keywords
image sensors; remote sensing; vegetation; bottom-up method; digital camera; northern China; regressing field data; remote sensing image; spatial scale transformation; subpixel model; temperate typical steppe; vegetation fractional coverage estimation; Calibration; Digital cameras; Educational technology; Global Positioning System; Image resolution; MODIS; Regression analysis; Spatial resolution; Testing; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location
Denver, CO
Print_ISBN
0-7803-9510-7
Type
conf
DOI
10.1109/IGARSS.2006.505
Filename
4241652
Link To Document