Applications of remote sensing in precision agriculture: A review
Agriculture provides for the most basic needs of humankind: food and fiber. The introduction
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
Ground, proximal, and satellite remote sensing of soil moisture
Soil moisture (SM) is a key hydrologic state variable that is of significant importance for
numerous Earth and environmental science applications that directly impact the global …
numerous Earth and environmental science applications that directly impact the global …
[HTML][HTML] A roadmap for high-resolution satellite soil moisture applications–confronting product characteristics with user requirements
Soil moisture observations are of broad scientific interest and practical value for a wide
range of applications. The scientific community has made significant progress in estimating …
range of applications. The scientific community has made significant progress in estimating …
Soil moisture for hydrological applications: Open questions and new opportunities
Soil moisture is widely recognized as a key parameter in the mass and energy balance
between the land surface and the atmosphere and, hence, the potential societal benefits of …
between the land surface and the atmosphere and, hence, the potential societal benefits of …
A spatial downscaling approach for the SMAP passive surface soil moisture product using random forest regression
The low-resolution characteristic of passive microwave surface soil moisture (SSM) products
greatly limits their application in many fields at regional or local scale. Aiming to overcome …
greatly limits their application in many fields at regional or local scale. Aiming to overcome …
Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale
Landslide susceptibility, hazards, and risks have been extensively explored and analyzed in
the past decades. However, choosing relevant conditioning factors in such analyses …
the past decades. However, choosing relevant conditioning factors in such analyses …
[HTML][HTML] Near-real-time forecast of satellite-based soil moisture using long short-term memory with an adaptive data integration kernel
Batjes, NH, 1995: A homogenized soil data file for global environmental research: A subset
of FAO, ISRIC, and NRCS profiles, version 1.0. Tech. Rep. 95/10b, ISRIC, 43 pp …
of FAO, ISRIC, and NRCS profiles, version 1.0. Tech. Rep. 95/10b, ISRIC, 43 pp …
Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA
Landslide detection from extensive remote-sensing imagery is an important preliminary work
for landslide map**, landslide inventories, and landslide hazard assessment. Aimed at …
for landslide map**, landslide inventories, and landslide hazard assessment. Aimed at …
Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches
Passive microwave remotely sensed soil moisture products, such as Advanced Microwave
Scanning Radiometer on the Earth Observing System (AMSR-E) data, have been routinely …
Scanning Radiometer on the Earth Observing System (AMSR-E) data, have been routinely …
Soil moisture information can improve shallow landslide forecasting using the hydrometeorological threshold approach
Empirical thresholds indicating the meteorological conditions leading to shallow landslide
triggering are one of the most important components of landslide early warning systems …
triggering are one of the most important components of landslide early warning systems …