An Evaluation of 20-m ESA-CCI S2 Prototype LC Product [PDF]
Frontiers in Sustainable Food Systems, 2020 Agricultural production estimate represents a key element in food security analysis, but before the agricultural statistics services process and release the data some precious early warning time is lost. While many remote sensing derived yield estimation
Adoum Alkhalil +2 more
doaj +2 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 The European Space Agency's Climate Change Initiative (ESA CCI) soil moisture could provide long-time microwave-retrieved soil moisture data but is limited to regional applications due to the low resolution (25 km). A new method of downscaling ESA
Chengyun Song, Guangcheng Hu
exaly +3 more sources
Validation of SMOS, SMAP, and ESA CCI Soil Moisture Over a Humid Region
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 With recent advances in satellite microwave soil moisture estimation, there is a demand for up-to-date validation of satellite soil moisture products. This article presents a sparse network validation over a humid region within the Laurentian Great Lakes
Xiaoyong Xu, Steven Frey
doaj +2 more sources
Water Resources ResearchGroundwater depletion, driven by climate change and increasing extraction for irrigation, has increased the need for accurate monitoring. Traditional methods, such as in situ water table observations and pumping tests, are valuable for assessing ...
Taejun Park +6 more
openalex +2 more sources
Calibration of the ESA CCI-Combined Soil Moisture Products on the Qinghai-Tibet Plateau
Remote Sensing, 2023 Soil moisture (SM) retrieved from satellite and spaceborn sensors provides useful parameters for earth system models (ESMs). The Climate Change Initiative (CCI) SM products released by the European Space Agency have been widely used in many humid/semi ...
Wenjun Yu, Yanzhong Li, Guimin Liu
doaj +2 more sources
Spatial Downscaling of ESA CCI Soil Moisture Data Based on Deep Learning with an Attention Mechanism
Remote SensingSoil moisture (SM) is a critical variable affecting ecosystem carbon and water cycles and their feedback to climate change. In this study, we proposed a convolutional neural network (CNN) model embedded with a residual block and attention module, named ...
Danwen Zhang, Linjun Lu, Jiahua Zhang
exaly +3 more sources
Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool [PDF]
Remote Sensing of Environment, 2017 The Coupled Model Intercomparison Project (CMIP) is now moving into its sixth phase and aims at a more routine evaluation of the models as soon as the model output is published to the Earth System Grid Federation (ESGF). To meet this goal the Earth System Model Evaluation Tool (ESMValTool), a community diagnostics and performance metrics tool for the ...
Axel Lauer +2 more
exaly +4 more sources
Seamless downscaling of the ESA CCI soil moisture data at the daily scale with MODIS land products
Journal of Hydrology, 2021 Fengping Wen +2 more
exaly +3 more sources
Irrigation and Precipitation Hydrological Consistency with SMOS, SMAP, ESA-CCI, Copernicus SSM1km, and AMSR-2 Remotely Sensed Soil Moisture Products [PDF]
Remote Sensing, 2020 Nicola Paciolla +2 more
exaly +2 more sources
Comprehensive evaluation of satellite-based and reanalysis soil moisture products using in situ observations over China [PDF]
Hydrology and Earth System Sciences, 2021 Soil moisture (SM) plays a critical role in the water and energy cycles of the Earth system; consequently, a long-term SM product with high quality is urgently needed.
X. Ling +17 more
doaj +1 more source