Different from the traditional remote sensing (RS) scene classification which uses a single
scene label to holistically annotate an image, multilabel RS image classification uses a …

The spectral information derived from satellite data provides important inputs for assessing
plant diversity. If a suitable satellite-derived biophysical proxy is applicable to assess and …

Since the inception of satellite remote sensing as a technology, characterization of forests
has been one of its major applications. Characterization of forests at community level is …

Unlike natural images, remote sensing scene images usually contain one scene label and
many object labels, and many object labels are arranged dispersedly, which brings great …

Global climate change affects biodiversity patterns, especially in arid and semi-arid regions
such as the Mongolian plateau, one of the most ecologically fragile regions in the world …

As an important food crop, summer maize is widely planted all over the world. Monitoring its
growth and output is of great significance for world food security. With the trend of global …

Since the inception of satellite remote sensing as a technology, characterization of forests
has been one of the major application of it. Characterization of forests at Species level is …

Understanding the relationship between species distribution and environmental conditions
is essential to develop climate change–adaptive mitigation and conservation measures. The …

Increasingly forest land is diverted to different land uses leading to various levels of
disturbances in a landscape. Any disturbance could affect the structure and functions of a …