DocumentCode
144062
Title
The dynamics of grassland vegetation fractional coverage using time-series MODIS data in Gannan region of China
Author
Wenlong Li ; Jing Xu ; Hao Wang
Author_Institution
Coll. of pastoral Agric. Sci. & Technol., Lanzhou Univ., Lanzhou, China
fYear
2014
fDate
13-18 July 2014
Firstpage
4220
Lastpage
4223
Abstract
Based on the dimidiate pixel model and remote sensing technique, a new alpine grassland vegetation coverage analysis model on the basis of NDVI index was built and the fractional vegetation coverage was estimated in Gannan state in year 2000, 2002, 2004, 2006, 2008 and 2010 from MODIS data. Thus, the character of dynamic changes of the grass vegetation coverage was figured out with the varied 5 levels estimation results of vegetation fractional coverage and results of transfer matrixes based on GIS spacial analysis in the past 11 years. The results indicated that from year 2000 to 2010, the deterioration of grassland vegetation coverage in Gannan was general, and the degradation of level 1 the best stage of grass vegetation cover is higher absolutely. What´s more, the change of grassland cover indicated the trend of transform from high-stage (level 1, level 2) to low-stage (level 4, level 5) coverage. The research informed the fact further that the grassland vegetation in Gannan area is degrading more and more seriously, and it will be useful to the academic research and rangeland management by government.
Keywords
geographic information systems; matrix algebra; remote sensing; vegetation mapping; AD 2000 to 2010; China; GIS spacial analysis; Gannan state; NDVI index; academic research; alpine grassland vegetation coverage analysis; dimidiate pixel model; grassland vegetation fractional coverage dynamics; high-stage coverage; low-stage coverage; rangeland management; remote sensing technique; time-series MODIS data; transfer matrixes; Accuracy; Educational institutions; MODIS; Remote sensing; Rivers; Soil; Vegetation mapping; Alpine grassland; Gannan; Grassland vegetation coverage; MODIS; NDVI;
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.2014.6947419
Filename
6947419
Link To Document