In order to research the vegetation cover variation in Yunnan province, the Normalized Difference Vegetation Index (NDVI) is utilized to demonstrate the spatio-temporal distribution of vegetation cover. After applying the international universal Maximum Value Composites (MVC) technique for further increasing accuracy, every grid value of GIMMS NDVI is calculated and then compared in spatio-temporal scale. The results show: (1) the vegetation cover in Yunnan province is high generally, and the annual mean vegetation cover can be divided three period; (2) All the inter-season variation of vegetation showed obvious fluctuation, and the change characteristics in summer is closed with inter-annual variation; (3)The vegetation cover in southeast ...
The vegetation cover is a major feature for an ecological system, especially in arid and semi-arid a...
This study focuses on relationships between the phenological growing season of plant communities and...
In this study, we applied asymmetric Gaussian function fitting to reconstruct a high-qualityMODIS no...
The Normalized Difference Vegetation Index (NDVI) is very important index, which often is a measure ...
The impact of global climate change on vegetation has become increasingly prominent over the past se...
The dynamics of vegetation coverage and associated driving forces are one of the key issues in globa...
Vegetation is an important part of terrestrial ecosystems. Although vegetation dynamics have explici...
Assessing vegetation phenology is very important for better understanding the impact of climate chan...
Temporal and spatial changes in vegetation and their influencing factors are of great significance f...
Depicting the spatiotemporal dynamics of vegetation cover in the Yellow River Basin (YRB) and deline...
Long-term remote sensing normalized difference vegetation index (NDVI) datasets have been widely use...
This paper selected 2006-2016 MODIS NDVI data with a spatial resolution of 500m and time resolution ...
Abstract—Vegetation cover not only takes as an import parameter for monitoring the vegetation situat...
Based on GIMMS NDVI3g dataset, the spatial- temporal dynamics of Normalized Difference Vegetation In...
With the development of vegetation indices, the reflection capability of vegetation indices to the s...
The vegetation cover is a major feature for an ecological system, especially in arid and semi-arid a...
This study focuses on relationships between the phenological growing season of plant communities and...
In this study, we applied asymmetric Gaussian function fitting to reconstruct a high-qualityMODIS no...
The Normalized Difference Vegetation Index (NDVI) is very important index, which often is a measure ...
The impact of global climate change on vegetation has become increasingly prominent over the past se...
The dynamics of vegetation coverage and associated driving forces are one of the key issues in globa...
Vegetation is an important part of terrestrial ecosystems. Although vegetation dynamics have explici...
Assessing vegetation phenology is very important for better understanding the impact of climate chan...
Temporal and spatial changes in vegetation and their influencing factors are of great significance f...
Depicting the spatiotemporal dynamics of vegetation cover in the Yellow River Basin (YRB) and deline...
Long-term remote sensing normalized difference vegetation index (NDVI) datasets have been widely use...
This paper selected 2006-2016 MODIS NDVI data with a spatial resolution of 500m and time resolution ...
Abstract—Vegetation cover not only takes as an import parameter for monitoring the vegetation situat...
Based on GIMMS NDVI3g dataset, the spatial- temporal dynamics of Normalized Difference Vegetation In...
With the development of vegetation indices, the reflection capability of vegetation indices to the s...
The vegetation cover is a major feature for an ecological system, especially in arid and semi-arid a...
This study focuses on relationships between the phenological growing season of plant communities and...
In this study, we applied asymmetric Gaussian function fitting to reconstruct a high-qualityMODIS no...