Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River |
| |
| Authors: | Fanghua Hao Xuan Zhang Wei Ouyang Andrew K. Skidmore A. G. Toxopeus |
| |
| Affiliation: | 1. School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China
2. Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Hengelosestraat 99, P.O. Box 6, Enschede, 7500 AA, The Netherlands
|
| |
| Abstract: | Vegetation in the upper catchment of Yellow River is critical for the ecological stability of the whole watershed. The dominant vegetation cover types in this region are grassland and forest, which can strongly influence the eco-environmental status of the whole watershed. The normalized difference vegetation index (NDVI) for grassland and forest has been calculated and its daily correlation models were deduced by Moderate Resolution Imaging Spectroradiometer products on 12 dates in 2000, 2003, and 2006. The responses of the NDVI values with the inter-annual grassland and forest to three climatic indices (i.e., yearly precipitation and highest and lowest temperature) were analyzed showing that, except for the lowest temperature, the yearly precipitation and highest temperature had close correlations with the NDVI values of the two vegetation communities. The value of correlation coefficients ranged from 0.815 to 0.951 (p?p?
|
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
