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NDVI and WAM Analysis for Grassland Desertification Risk Index Modelling

Huang Qingqing, Junyu Qi, Jinhao Liu, Fan-R ui Meng, Charles P.A. Bourque


Grassland degradation and desertification is one the major threaten in north west china, a heavy working vehicle was developed to pave the straw checkerboard barrier automatically. In test of working system, the traditional way cannot meet the efficiency requirement for detection work area. The principle of priority level for recovery task should be dramatically vegetation variance, represent whether the land being decertified. Therefore the NDVI variance by years could be introduced as a desertification risk index refer to hydrology mapping. DEM and other maps including hydrology map, NDVI map act as co-input as well as slope percentage, elevation and hydrology index map based on WMA (Wet Area Mapping) method. A model based on ANN was set up using vegetation variance as target variable. The barrier is paved preferentially depends on this variance in form of desertification risk index. This model mapping method based on GIS could directly be used by decision-makers and vehicle drivers for the desert recovery.


desertification, vegetation variance, risk factor, wet area mapping, ANN model.

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