Smap downscaling
WebFor instance, Zhao et al. (2024) and Im et al. (2016) used the random forest downscaling method and various MODIS surface variables and band information to downscale the coarse resolution microwave products SMAP and AMSR-E to 1 km [30,31]. WebThe GBDT algorithm was used for SM downscaling over the Tibetan Plateau and effectively improved the resolution of the SMAP SM from 36 to 1 km. High-resolution SM can preserve the accuracy of the original SMAP and express detailed spatial SM variability simultaneously .
Smap downscaling
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WebThe SMAP Validation Experiment 2015 (SMAPVEX15) was an aircraft-based campaign focusing on validating the downscaling algorithm process. The campaign took place in August 2015 in Arizona. The SMAP Validation Experiment 2016 (SMAPVEX16) took place from May to August 2016 in Manitoba, Canada. WebJan 31, 2024 · Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine Learning Approaches over …
WebFeb 8, 2024 · The global scale daily 1-km SMAP SM data are produced by the visible/infrared downscaling algorithm. The downscaling model performs better in middle/low-latitude … WebJan 31, 2024 · Overall, downscaling SMAP SM by using ML techniques and produce spatial–temporal gap-filled SMAP SM at a high resolution (1 km) rather than a coarse …
WebJun 1, 2024 · This study presented a framework based on the WDL algorithm to downscale the spatial resolution of the SMAP SM product from its original 36 km to a spatial resolution of 1 km using high-resolution MODIS surface reflectance, LST, topographic attributes, soil properties, climate, and land cover type information as auxiliary datasets. WebJun 1, 2024 · A new SM downscaling framework based on the Wide & Deep Learning method is proposed to improve the spatial resolution of SMAP SM. • The proposed …
WebJan 31, 2024 · This study focused on achieving the following purposes: (1) to downscale coarse resolution (36 km) SMAP SM at fine resolution (1 km), using RF and ANN models; (2) to evaluate downscaled SM quality of these ML techniques, comparing with ground truth SM observations at different scales over the SMN-SDR Basin; (3) to analyze the influence of …
WebAug 1, 2024 · Three recently developed downscaling algorithms are evaluated and compared: a simple regression algorithm based on 9-km thermal inertial data, a data mining approach called regression tree based... fayette county property records searchWebDownscaling SMAP soil moisture estimation with gradient boosting decision tree regression over the Tibetan Plateau. 2024. ... Assessment of the SMAP-Derived Soil Water Deficit Index (SWDI-SMAP) as an Agricultural Drought Index in China. 2024. fayette county property tax search kyWebDec 15, 2024 · The new version of baseline SMAP downscaling algorithm is utilized for this purpose. • The downscaled product is evaluated using the passive Australian L-band observations. • The impact of using C-band backscatter in place of L-band in downscaling is investigated. Keywords Brightness temperature Backscatter SMAP Sentinel-1A SMAPEx … friendship day images messagesWeb14 0-10 cm soil layer at SMAP overpass times were extracted for building the downscaling model. 15 These variables are computed from the National Oceanic and Atmospheric Administration Noah 16 model, which is the land component of the National Centers for Environmental Prediction meso- friendship day informationWebOct 6, 2024 · This study compares the performances of four regression tree-based ML algorithms in SMAP SM downscaling over southwest France with various land cover types. Every algorithm generates a 1 km grid resolution downscaled SM product from 9 and 36 km scale, respectively. The validation is initially conducted through comparison to the original … fayette county property taxes kyWebHere we present results of SMAP soil moisture product downscaling using MODIS data over the SMAPVEX15 domain and validation with the PALS 1-km soil moisture measurements. … fayette county property tax paymentsWebThe downscaling of the SMAP soil moisture generally improved the representation of spatial heterogeneity of soil moisture and this heterogeneity is heavily dependent on the complex interaction of intertwined geophysical and atmospheric factors such as soil properties, topography, vegetation and meteorological forcing (Crow et al., 2012 ... friendship day in india 2021