The successful launch of the Landsat 8 satellite with two thermal infrared bands on February
11, 2013, for continuous Earth observation provided another opportunity for remote sensing …

Leaf area index (LAI) is an important indicator of crop growth. In this paper, a hybrid inversion
method was developed to estimate the LAI values of crops. Based on PROSAIL simulation …

Soil salinization is a worldwide environmental problem with severe economic and social
consequences. In this paper, estimating the soil salinity of Pingluo County, China by a partial …

This study investigated changes in the population distribution pattern of Spartina spp. along
China's coast over a period of more than 30years. Remote sensing, in conjunction with …

Dynamic monitoring of floods is important for water resource management and disaster
prevention. Obtaining multitemporal surface water distribution maps using remote sensing …

A hybrid inversion method was developed to estimate the leaf chlorophyll content (LCC)
and canopy chlorophyll content (CCC) of crops. Fifty hyperspectral vegetation indices (VIs), …

Precipitation data at high spatio-temporal resolution are essential for hydrological, meteorological,
and ecological research in local basins and regions. The coarse spatial resolution (…

Accurate crop yield prediction for more precise forecasting of price volatility in crop markets,
better agricultural planning and enhanced national food security is one of the important …

Droughts cause huge losses of society and environment, therefore it is important to study
the spatial-temporal pattern of drought. The traditional remote sensing drought indices (AVI, …

Northeast China, the most important region for commercial grain farming in China, is
vulnerable to drought due to high fluctuation in monthly rainfall. Timely, accurate and effective …