Results 1 to 10 of about 434,386 (174)
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 ...
Jiahua Zhang, Sha Zhang, Danwen Zhang
exaly +5 more sources
SM2RAIN-CCI: a new global long-term rainfall data set derived from ESA CCI soil moisture [PDF]
Earth System Science Data, 2018 Accurate and long-term rainfall estimates are the main inputs for several applications, from crop modeling to climate analysis. In this study, we present a new rainfall data set (SM2RAIN-CCI) obtained from the inversion of the satellite soil moisture (
L. Ciabatta +12 more
doaj +5 more sources
Remote Sensing, 2020 ESA CCI SM products have provided remotely-sensed surface soil moisture (SSM) content with the best spatial and temporal coverage thus far, although its output spatial resolution of 25 km is too coarse for many regional and local applications.
Nikola Stancic +2 more
exaly +3 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
Guangcheng Hu, Chengyun Song
exaly +3 more sources
Geosciences, 2018 Several previous studies have discussed the challenges in remotely sensed soil moisture retrievals over northern boreal environments. However, very few studies have focused solely on an evaluation of these products specifically over these areas.
Juval Cohen +2 more
exaly +3 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
Mapping of ESA's Climate Change Initiative land cover data to plant functional types for use in the CLASSIC land model [PDF]
Biogeosciences, 2023 Plant functional types (PFTs) are used to represent vegetation distribution in land surface models (LSMs). Previous studies have shown large differences in the geographical distribution of PFTs currently used in various LSMs, which may arise from the ...
L. Wang +5 more
doaj +1 more source
Combining satellite observations to develop a global soil moisture product for near-real-time applications [PDF]
Hydrology and Earth System Sciences, 2016 The soil moisture dataset that is generated via the Climate Change Initiative (CCI) of the European Space Agency (ESA) (ESA CCI SM) is a popular research product.
M. Enenkel +8 more
doaj +1 more source
International Journal of Applied Earth Observations and Geoinformation, 2021 High-quality land use and land cover (LULC) information is of crucial importance for the performance of regional climate models (RCMs), in particular at high spatial resolutions down to convection permitting scales below 4 km.
V. Reinhart +5 more
doaj +1 more source
Gross and net land cover changes in the main plant functional types derived from the annual ESA CCI land cover maps (1992–2015) [PDF]
Earth System Science Data, 2018 Land-use and land-cover change (LULCC) impacts local energy and water balance and contributes on global scale to a net carbon emission to the atmosphere.
W. Li +7 more
doaj +1 more source