Paper Info
Title
Dynamic Responses on Spatio-Temporal Variation and Climate Change Derived from GIMMS NDVI 3g+ (1982-2015) in Shendong Coalfield
Abstract
This study is to investigate the variation of Normalized Difference Vegetation Index (NDVI) in Shendong coalfield and its surrounding ecological environment, understanding the succession law of vegetation. It can be a guide for decision making on natural restoration and artificial rehabilitation. Based on the latest dataset of Global Inventory Modeling and Mapping Studies Advanced Very High Resolution Radiometer derived NDVI (GIMMS NDVI3g+) (January 1982–December 2015, 34 years). Using the method of correlation analysis, partial correlation analysis, coefficient of variation, and the trend analysis, to investigate the vegetation variation on temporal, spatial and the response to climate change. Time series analysis shows that the growing season was extended again in the mining area of Shendong coalfield. The results of correlation and Partial correlation analysis, depicts the Shendong coalfield had a high correlation with air temperature and a low correlation with precipitation. 84.21% area of mining area have a medium fluctuation, 40% area of CK have a relatively high fluctuation. The linear trend analysis indicates that the change trend rate of the mining area is 29.32% smaller than the CK is 38.70%. It is urgent to estimate the consistency of the three version datesets and establish the transformation model of GIMMS NDVI.
Year
DOI
Venue
2019
10.1109/Multi-Temp.2019.8866944
2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)
Keywords
Field
DocType
GIMMS NDVI3g plus,mining area,checked area,buffer analysis,piecewise linear regression analysis,partial correlation analysis
Correlation coefficient,Time series,Trend analysis,Vegetation,Partial correlation,Climate change,Advanced very-high-resolution radiometer,Environmental science,Normalized Difference Vegetation Index,Climatology
Conference
ISBN
Citations 
PageRank 
978-1-7281-4616-4
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Shun Yang100.34
Chao Ma200.68
Zhenzhen Cui300.68
Shanshan Huang4338.82