Smap downscaling

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August undefined, 2024

Web, A spatial downscaling approach for the SMAP passive surface soil moisture product using random forest regression, J. Hydrol. 563 (2024) 1009 – 1024. Google Scholar Web14 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-

Spatial Downscaling and Gap-Filling of SMAP Soil …

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]. WebNevertheless, He et al. (2024) compared different SMAP Sentinel -1 downscaling algorithms at spatial resolutions 95 of 9 km, 3 km and 1 km and evaluated the soil-moisture -ba sed downscaling algorithm as highly accurate (particularly at the coarser resolutions ). Global soil moisture products exist , e.g. provided by NASA at resolutions city blends menu

Spatial Downscaling of SMAP Soil Moisture Using MODIS Land …

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... WebMay 1, 2024 · Thus, an appropriate replacement sensor and new algorithms are urgently needed to compensate for the lost radar and estimate soil moisture at high-resolution. … The normalized difference vegetation index (NDVI) has been widely used for remote … Soil moisture generally refers to the amount of water stored in the unsaturated soil … Classification tree analysis (CTA) provides an effective suite of algorithms for … Test simulations were performed to determine a suitable ensemble size. For … The effects of below-average precipitation in 2001–2003 on the average growing … WebDec 26, 2024 · Aiming to address this limitation, random forest (RF) models are adopted to downscale the SMAP level-3 (L3SMP, 36 km) and SMAP enhanced (L3SMP_E, 9 km) SM to 1 km. A suite of predictors derived from the Sentinel-1 C-band SAR and MODIS is used in the downscaling process. dick\u0027s ethos

Remote Sensing Free Full-Text Downscaling SMAP …

(PDF) Evaluation of the RF-Based Downscaled SMAP and

WebHere 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. … WebComprehensive analysis of alternative downscaled soil moisture products city blends coffee machineWebDownscaling 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. city blends smoothie cafe

"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. " - Smap downscaling

Smap downscaling

Downscaling of SMAP Soil Moisture Using Land Surface …

WebOct 21, 2024 · Our SMAP/CYGNSS TB downscaling algorithm uses β as a scaling factor that adjusts TB based on variations in CYGNSS reflectivity. β is the spatially varying slope of the negative linear relationship between … 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 .

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WebA method is proposed for the production of downscaled soil moisture active passive (SMAP) soil moisture (SM) data by combining optical/infrared data with synthetic aperture radar (SAR) data based on the random forest (RF) model. WebDec 7, 2024 · The downscaled SMAP is validated against measurements collected from core validation sites and 300 sparse soil moisture networks 1 Introduction Soil moisture has an important role in the global water and energy balance, affecting hydrological and atmospheric cycles, drought conditions, irrigation management, and so many other …

WebDec 7, 2024 · In this study, we propose a soil moisture downscaling framework to downscale the SMAP descending overpass (L3_SM_P) over the CONUS. The L3_SM_P is a daily … WebDec 3, 2024 · Object:Soil moisture is an important parameter to measure the material and energy exchange between soil and atmosphere. It is a key environmental factor in the fields of hydrology, meteorology, agriculture and so on. Remote sensing inversion and model simulation are two basic means to obtain global soil moisture data. Remote sensing …

WebJul 27, 2024 · SMAP (Soil Moisture Active/Passive) and SMOS (Soil Moisture Ocean Salinity) provide soil moisture observations that can be used for studying the global hydrological cycle, agriculture, ecology, and land atmosphere interactions. SMAP provides soil moisture at two grid scales; 36 km (which is close to its native radiometer spatial resolution) and … WebOct 1, 2024 · The results show that the four algorithms downscaled SM are capable of capturing spatial distribution features of the original SMAP SM. The downscaled regions with favorable accuracy are mostly...

WebDec 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 …

http://ch.whu.edu.cn/en/article/doi/10.13203/j.whugig20240278 city blends coffee machine franchiseWebJun 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 … city blessing church rochester nhWebAug 9, 2024 · In this study, the SMAP soil moisture retrievals of morning overpasses were selected for implementing the downscaling model because they coincided with the … dick\u0027s exchange policyWebJun 21, 2024 · The aim of this paper was to test the capabilities of the Sentinel-1 radar data in downscaling Soil Moisture Active Passive (SMAP) radiometer data for high-reso … dick\u0027s exercise bandsWebThe 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 ... city blends smoothiesWebNov 10, 2024 · The principle of the empirical downscaling method is that a model is first constructed based on coarse-scale SM data and high-resolution optical/infrared remote … dick\\u0027s exercise bandsWebFeb 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 … dick\u0027s fairview heights il