The successful launch of Landsat 8 provides a new data source for monitoring land cover,
which has the potential to significantly improve the characterization of the earth’s surface. To …

Wide field view (WFV) sensor on board the Chinese GF-1, the first satellite of the China High-resolution
Earth Observation System, is acquiring multi-spectral data with decametric …

Temporal-related features are important for improving land cover classification accuracy
using remote sensing data. This study investigated the efficacy of phenological features …

The Qinghai-Tibetan Plateau (QTP) has the most fragile ecosystems in the world. Over the
past decades, QTP is suffering from increasing external pressures of climate change, human …

Fruit picking robot is required for agricultural automation for fruit harvest, and vision system
is the important and crucial composition of a robot system. An automatic extraction method of …

Land cover classification of finer resolution remote sensing data is always difficult to acquire
high-frequency time series data which contains temporal features for improving …

Forest cover plays a key role in climate change by influencing the carbon stocks, the
hydrological cycle and the energy balance. Forest cover information can be determined from fine-…

Fractional vegetation cover is a key parameter for characterizing land surface vegetation
coverage, and plays an important role in global change research, earth surface processes …

Carbon dioxide (CO 2 ) in the atmosphere is an important variable that connects the
atmosphere and terrestrial ecosystems. However, satellite-observed atmospheric CO 2 …

Fractional vegetation cover (FVC) is an essential parameter for characterizing the land
surface vegetation conditions and plays an important role in earth surface process simulations …