Open AccessSuitability Analysis and Evaluation of GIMMS NDVI3g Product in Plateau Region
Author(s) -
Jianyun Zhao,
Yuanyuan Ding,
Jianxun Yang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/734/1/012007
Subject(s) - normalized difference vegetation index , plateau (mathematics) , remote sensing , environmental science , vegetation (pathology) , phenology , mean squared error , physical geography , climate change , geography , mathematics , statistics , geology , agronomy , biology , oceanography , pathology , medicine , mathematical analysis
Quantitative Remote Sensing product have many challenges and uncertainties used in Tibet plateau, GIMMS NDVI 3g is the longest NDVI time series products reflected the vegetation growing and changing at present. This paper takes Qinghai plateau as example, and using multi-source remote sensing data including SPOT, MODIS and Landsat to analyze its suitability and evaluate its accuracy. The results indicate that the value of GIMMS NDVI 3g is bigger than others dataset, and there has no significant difference between the datasets according to the root mean square error, and the correlation coefficients are greater than 0.95. The vegetation phenology and changing characteristic reflected by the datasets is in line with each other. There have strong correlationship between NDVI 3g and Landsat NDVI, and the root mean square error is 0.055, and the deviation is in accord with the Gaussian normal distribution. So NDVI 3g dataset has favorable suitability and reliable accuracy used in vegetation change detection of plateau region.