In recent decades, microwave remote sensing (RS) has been used to measure soil moisture (SM). Long-term and large-scale RS SM datasets derived from various sensors have in environmental fields. Understanding the accuracies of products is essential for their proper applications. However, due mismatched spatial scale between ground-based observations, truth at pixel may not be accurately represen...

Soil moisture (SM) is a crucial driving variable for the global land surface-atmosphere water and energy cycle. There are now many satellite-based SM products available internationally it necessary to consider all under same context comprehensive assessment inter-comparisons at scale. Moreover, product performances varying with dynamic environmental factors, especially those closely related ret...

The comprehensive evaluation of model- and satellite-based surface soil temperature (ST) products is a prerequisite for applications these datasets in hydrology, ecology, climate change, as well passive microwave moisture retrieval algorithms. Distinguished from existing regional validations, this study used ground observations approximately 800 stations 5 sparse 15 dense networks worldwide to ...

Across Eastern Africa, croplands cover 45 million ha. The regional economy is heavily dependent on small holder traditional rain-fed peasant agriculture (up to 90%), which is vulnerable to extreme weather events such as drought and floods that leads to food insecurity. Agricultural production in the region is moisture limited. Weather station data are scarce and access is limited, while optical...

Antarctic sea ice formation is strongly influenced by polynyas occurring in austral winter. The sea ice production of Ross Ice Shelf Polynya (RISP) located in the Ross Sea is the highest among coastal polynyas around the Southern Ocean. In this paper, daily sea ice production distribution of RISP in wintertime is estimated during 2003–2015, and the spatial and temporal trends of ice production ...

Abstract. Soil moisture is an important parameter required for agricultural drought monitoring and climate change models. Passive microwave remote sensing technology has become means to quickly obtain soil across large areas, but the coarse spatial resolution of data imposes great limitations on application these data. We provide a unique dataset (0.05?, monthly) China from 2002 2018 based reco...

Urban heat islands (UHIs) have been long studied using both ground-based observations of air temperature and remotely sensed thermal infrared (TIR) data. While ground-based observations lack spatial detail even in the occasional “dense” urban network, skin temperature retrievals using TIR data have lower temporal coverage due to revisit frequency, limited swath width, and cloud cover. Algorithm...

Soil moisture is an important variable in the coupled hydrologic and climate system. In recent years, microwave-based soil moisture products have been shown to be a viable alternative to in situ measurements. A popular way to measure the performance of soil moisture products is to calculate the temporal correlation coefficient (R) against in situ measurements or other appropriate reference data...

Soil moisture is a key part of Earth’s climate systems, including agricultural and hydrological cycles. Soil moisture data from satellite and numerical models is typically provided at a global scale with coarse spatial resolution, which is not enough for local and regional applications. In this study, a soil moisture downscaling model was developed using satellite-derived variables targeting Gl...

Soil moisture (SM) and vegetation optical depth (VOD) are essential variables in the terrestrial ecosystem. The multi-frequency radiometers AMSR-E AMSR2 provide >20 years of data records, enabling development long-term SM VOD products. Most current retrieval algorithms either only focus on or VOD, generally ignore polarization simplify frequency dependence effects for reducing unknowns facilita...