Smap downscaling

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August undefined, 2024

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... 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...

(PDF) Comprehensive analysis of alternative downscaled soil …

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 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. duncanville texas football maxpreps

Downscaling of SMAP Soil Moisture Using Land Surface …

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 … 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 WebDownscaling 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. duncan women\u0027s shelter

Downscaling SMAP Radiometer Soil Moisture Over the …

On the impact of C-band in place of L-band radar for SMAP downscaling …

WebOct 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 … WebComprehensive analysis of alternative downscaled soil moisture products duncan wellnessWebDec 19, 2024 · In addition developing a neural network retrieval, the SMAP study equally aims at investigating the potential of neural networks as a downscaling tool. Since they are able to model non-linear relationships, it is considered that a neural network-based downscaling algorithm could perform better than the linear SMAP downscaling … duncan valentine net worth

"WebMany remote sensing soil moisture (SM) products have been developed with global coverage. However, most of them are derived from passive microwave observations with very coarse resolution, greatly constraining the applications at regional scales. To increase the spatial resolution, a downscaling method is developed to downscale the 36-km Soil … " - Smap downscaling

Smap downscaling

Downscaling of SMAP Soil Moisture Using Land Surface …

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 13, 2024 · Travel to appropriate sampling location At the sample location, remove any plant/crop residue Insert the prove to the soil with an appropriate depth of 5cm Move to the next sampling site and repeat steps 3 and 4 Mixing different sub-sample soil with a trowel Place one or two cups of mixed soil sample into the sample bag

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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 … WebAug 1, 2024 · While the coarse-resolution SMAP radiometer observations may be the state-of-the-art data product in terms of the best L-band radiometer antenna design and radio frequency interference mitigation strategy, downscaling to finer resolution will better meet SMAP data user requirements, triggering wide research interests within the SM remote ...

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 … 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 …

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 … 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 …

WebThe 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 ...

WebJun 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-resolution soil moisture estimation. Three different active-passive downscaling algorithms, including the brightness temperature-based downscaling algorithm (BTBDA), the soil moisture-based … duncaster board of directorsWebThe SMAP mission was designed to downscale 36 km 108 radiometer observations using its own on-board L-band radar. The active/passive concept was 109 the main SMAP downscaling approach until the failure of the SMAP radar. Subsequently, 110 Das et al. (2016) proposed an alternative radar downscaling approach using the Sentinel C- duncan\u0027s shield giftWebFor 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]. duncanville girls softball associationWebJul 6, 2024 · "Synergistic Use of SMOS Measurements with SMAP Derived and In-situ Data over Valencia Anchor Station by Using Downscaling … duncan whitfieldWebJan 31, 2024 · Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine Learning Approaches over … duncarnock fortWebJul 4, 2024 · Therefore a downscaling approach using the SMAP Sentinel-1 approach to derive soil moisture patterns at the 100 m scale is pursued in areas used for agriculture or covered by heathland, corresponding to approximately 2 / 3 of the study area. The SMAP Sentinel-1 downscaling approach involves the estimation of two parameters, β and Γ. duncan\u0027s yacht chandlersWeb14 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- duncaster fitness