Soil moisture mapping at a high spatial resolution is very important for several applications in hydrology, agriculture and risk assessment. With the arrival of the free Sentinel data at high spatial and temporal resolutions, the development of soil moisture products that can better meet the needs of users is now possible. In this context, the main objective of the present paper is to develop a...

This study investigates the hydrologic implications of land use conversion from native vegetation to rubber (Hevea brasiliensis) in Southeast Asia. The experimental catchment, Nam Ken (69 km2), is located in Xishuangbanna Prefecture (22°N, 101 °E), in the south of Yunnan province, in southwestern China. During 2005 and 2006, we collected hourly records of 2 m deep soil moisture profiles in rubb...

Despite the continuing efforts to improve existing soil moisture retrieval algorithms, the ability to estimate soil moisture from passive microwave observations is still hampered by problems in accurately modelling the observed microwave signal. Due to the significant influence of both soil roughness and vegetation on the measured brightness temperatures, the parameterisation of these variables...

Multiple soil moisture products have been generated from data acquired by satellite. However, these satellite soil moisture products are not spatially or temporally complete, primarily due to track changes, radio-frequency interference, dense vegetation, and frozen soil. These deficiencies limit the application of soil moisture in land surface process simulation, climatic modeling, and global c...

Dust storms are devastating natural disasters that cost billions of dollars and many human lives every year. Using the Non-Hydrostatic Mesoscale Dust Model (NMM-dust), this research studies how different spatiotemporal resolutions of two input parameters (soil moisture and greenness vegetation fraction) impact the sensitivity and accuracy of a dust model. Experiments are conducted by simulating...

abstract this paper presents a quantitative account of vegetation–environmental factor relationships in arid rangelands. vegetation cover was recorded using braun-blanquet combined abundance-cover scale in each quadrat. within each quadrat, one profile was dug and soil samples being taken at 0-20cm and 20-100cm depths. under study physical-chemical characteristics included texture, lime, organi...

In the last two decades, various remote sensing techniques have been evaluated and proven to be a valuable source of information for different hydrological applications. Particularly, microwave remote sensing had been frequently used as alternative to traditional methods for estimating spatial soil moisture based on the large contrast between the dielectric properties of wet and dry soil. Howev...

Wind farms (WFs) can affect the local climate, and local climate change may influence underlying vegetation. Some studies have shown that WFs affect certain aspects of the regional climate, such as temperature and rainfall. However, there is still no evidence to demonstrate whether WFs can affect local vegetation growth, a significant part of the overall assessment of WF effects. In this resear...

Numerous efforts have been made to develop various indices using remote sensing data such as normalized difference vegetation index (NDVI), vegetation condition index (VCI) and temperature condition index (TCI) for mapping and monitoring of drought and assessment of vegetation health and productivity. NDVI, soil moisture, surface temperature and rainfall are valuable sources of information for ...

9 10 11 ABSTRACT 12 Land Surface Models (LSM) offer a description of land surface processes and set the 13 lower boundary conditions for meteorological models. In particular the accurate description of 14 those surface variables which display a slow response in time, like root zone soil moisture or 15 vegetation biomass, is of great importance. Errors in their estimation yield significant 16 in...