Title :
The Monitoring and Effect Evaluation of Restoring Grazing to Grassland Project in Maqu County of China based on EOS/MODIS Data
Author :
Wang, Jing ; Guo, Ni ; Wang, Xiaoping ; Wang, Jinsong ; Zhang, Jie
Author_Institution :
Inst. of Arid Meteorol., Lanzhou
Abstract :
In this paper, based on 16-day 250 m MODIS product suits, using residual trend method, the effects of Restoring Grazing to Grassland Project in Maqu grassland was evaluated. Firstly, some regression models between NDVI in different stage and synchronous meteorological data were constructed. Then using above models we can predict NDVI value without the project and analyze the residual trend of actual NDVI and simulative NDVI from 2000 to 2006. Finally, the effect of restoring grazing to grassland on the grasslands was evaluated. The result showed that the project was favorable to grassland recovery and beneficial for grass growth, especially in the earlier and latter growth seasons. In all the projects, prohibition-grazing measure was the most effective. In addition, there lies regional effect difference, which it is most distinct in Manrima village and contrary in Oula village. Moreover, the effect of every enclosure was evaluated. In most enclosures, grassland gradually recovered. Among these enclosures, the effect of 16th enclosure was most obvious. However in several enclosure, grassland weakly degraded, such as the 21st enclosure, which can be concluded that there were some absurd grazing behaviors and the project was not well executed in those areas.
Keywords :
remote sensing; vegetation; AD 2000 to 2006; China; EOS-MODIS data; Manrima village; Maqu County; NDVI; Oula village; Restoring Grazing to Grassland Project; grass growth; grassland recovery; prohibition-grazing measure; residual trend method; synchronous meteorological data; Degradation; Earth Observing System; Humans; Laboratories; MODIS; Meteorology; Predictive models; Remote monitoring; Vegetation mapping; Water conservation; EOS/MODIS data; Effect evaluation; Maqu grassland; Residual trend; Restoring grazing to grassland;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779832