Title :
Assessment of land degradation using time series trends analysis of vegetation indictors in Beijing-Tianjin dust and sandstorm source region
Author :
Hongyan Wang ; Qiangzi Li ; Zhihai Gao ; Bin Sun ; Xin Du
Author_Institution :
Inst. of Remote Sensing & Digital Earth, Beijing, China
Abstract :
Assessment of land condition is a basic prerequisite for finding the degradation of a territory under climatic and human pressures leading to desertification. The temporal change in vegetation productivity is a key indicator of land degradation. In this paper, taking the Beijing-Tianjin dust and sandstorm source region (BTDSSR) as a case, the annual-maximum normalized difference vegetation index (NDVI_max) and net primary production (NPP) dynamic trends during 2001-2010 were analyzed, with the Mann-Kendall test and the Correlation Analysis method. The results showed that the two vegetation indicators (NDVI_max and NPP) had shown a downward trend with the two methods in the past 10 years and the land was in the degradation. For the analysis of the two vegetation indicators (NDVI_max and NPP), it indicated a decreasing trend in 66.60% and 70.26% of the study area according to the Mann-Kendall test and in 59.53% and 64.35% of the study area according to the correlation analysis method. However, the change trends were not significant, the significant trends at the 95% confidence level accounted for only a small proportion. Analysis of NDVI_max and NPP series showed a significant decreasing trend in 6.79% and 12.3% with the Mann-Kendall test. The NDVI_max and NPP change trends showed obvious positive link with the precipitation in the study area.
Keywords :
atmospheric pressure; correlation theory; dust; storms; time series; vegetation; AD 2001 to 2010; Beijing-Tianjin dust; Mann-Kendall test; NDVI_max; NPP; annual-maximum normalized difference vegetation index; climatic pressures; correlation analysis method; human pressures; land degradation assessment; net primary production dynamic trends; sandstorm source region; time series trend analysis; vegetation indictors; Computer aided manufacturing; Degradation; Indexes; Market research; Productivity; Vegetation; Vegetation mapping; Assessment; NDVI and NPP; land degradation; time series trends analysis;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946533