DocumentCode :
143073
Title :
Land degradation assessment by applying relative rue in Inner Mongolia, China, 2001–2010
Author :
Zhihai Gao ; Bin Sun ; del Barrio, Gabriel ; Xiaosong Li ; Hongyan Wang ; Lina Bai ; Bengyu Wang ; Wangfei Zhang
Author_Institution :
Inst. of Forest Resource Inf. Tech., Beijing, China
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
1449
Lastpage :
1452
Abstract :
Land degradation in Inner Mongolia, China is much severe. Remote sensing application on land degradation assessment can provide scientific basis for land degradation prevention in the study area. In this paper, land degradation was assessed by applying two improved relative Rain Use Efficiency (RUE) indicators based on time series MODIS NDVI data and high-resolution meteorological data from 2001 to 2010. The results show that 76.74% land of the whole study area with good or unusually good condition, it indicates that the most areas have normal or good vegetation production capacity. The unusually degraded and degraded lands account for 11.94% of the study area, especially they are less degraded lands distributing in Beijing and Tianjin sandstorm source region within the Inner Mongolia, it indicates that some ecological engineering projects implemented in this area have achieved significantly for restoration of degraded ecosystems in recent 10 years.
Keywords :
remote sensing; sand; storms; vegetation; AD 2001 to 2010; Beijing sandstorm source region; China; Inner Mongolia; Tianjin sandstorm source region; degraded ecosystem restoration; high-resolution meteorological data; land degradation assessment; land degradation prevention; rain use efficiency; relative RUE; time series MODIS NDVI data; vegetation production capacity; Biological system modeling; Degradation; Ecosystems; MODIS; Meteorology; Production; Remote sensing; Geoscience and remote sensing; Inner Mongolia; land degradation; relative Rain Use Efficiency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6946709
Filename :
6946709
Link To Document :
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