Abstract—Vegetation cover not only takes as an import parameter for monitoring the vegetation situation of land surface, but also is an important indicator indicates the quality of the ecological environment and its changes. Therefore, in this paper, The Landsat TM images of 1989 and 2011 was used to extract the normalized difference vegetation index (NDVI) , then, the vegetation cover was obtained by NDVI using RS software ERDAS IMAGE 9.2, the results shown that: the increasing area of NDVI (0.2~0.3) was greatest, which was 141.41 km2, on the contrary, the reduced area of NDVI (0.4~0.5) was 340.29 km2, the lower vegetation coverage region covered the greatest increasing area, while the reduced area of higher vegetation coverage was maximum...
As the main content of terrestrial ecosystem study, vegetation coverage change has gained extensive ...
Long-term remote sensing normalized difference vegetation index (NDVI) datasets have been widely use...
<p>The images of the differences in the remote sensing vegetation coverage between 1999 and 2010 of ...
The dynamics of vegetation coverage and associated driving forces are one of the key issues in globa...
Based on the Landsat images in 2006, 2011 and 2015, and the method of dimidiate pixel model, the Nor...
Constantly increasing vegetation changes pose serious challenges to the sustainable use of global ec...
AbstractIn this paper, percentage of vegetation cover in different districts of Wuhan were calculate...
The Normalized Difference Vegetation Index (NDVI) is very important index, which often is a measure ...
Natural climate change and human activities are the main driving forces associated with vegetation c...
Environmental change has been a topic of great interest over the last century due to its potential i...
In order to research the vegetation cover variation in Yunnan province, the Normalized Difference Ve...
Chen Barag Banner is located in the typical farming-pastoral ecotone of Inner Mongolia, and it is al...
The research is supported by the fundamental research funds of Gansu provincial natural science fund...
International audienceDynamic monitoring of vegetation coverage changes, especially on a relatively ...
Abstract — This paper selected Changping District located in suburban area of Beijing as a case stud...
As the main content of terrestrial ecosystem study, vegetation coverage change has gained extensive ...
Long-term remote sensing normalized difference vegetation index (NDVI) datasets have been widely use...
<p>The images of the differences in the remote sensing vegetation coverage between 1999 and 2010 of ...
The dynamics of vegetation coverage and associated driving forces are one of the key issues in globa...
Based on the Landsat images in 2006, 2011 and 2015, and the method of dimidiate pixel model, the Nor...
Constantly increasing vegetation changes pose serious challenges to the sustainable use of global ec...
AbstractIn this paper, percentage of vegetation cover in different districts of Wuhan were calculate...
The Normalized Difference Vegetation Index (NDVI) is very important index, which often is a measure ...
Natural climate change and human activities are the main driving forces associated with vegetation c...
Environmental change has been a topic of great interest over the last century due to its potential i...
In order to research the vegetation cover variation in Yunnan province, the Normalized Difference Ve...
Chen Barag Banner is located in the typical farming-pastoral ecotone of Inner Mongolia, and it is al...
The research is supported by the fundamental research funds of Gansu provincial natural science fund...
International audienceDynamic monitoring of vegetation coverage changes, especially on a relatively ...
Abstract — This paper selected Changping District located in suburban area of Beijing as a case stud...
As the main content of terrestrial ecosystem study, vegetation coverage change has gained extensive ...
Long-term remote sensing normalized difference vegetation index (NDVI) datasets have been widely use...
<p>The images of the differences in the remote sensing vegetation coverage between 1999 and 2010 of ...