Smap downscaling

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August undefined, 2024

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. 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 …

An Intercomparison Study of Algorithms for Downscaling SMAP

WebOct 14, 2024 · Overall, this study suggests that the proposed RF-based downscaling method can capture the variation of SSM well, and the downscaled SMAP products perform … hager cabinets inc

Investigation of SMAP Active–Passive Downscaling Algorithms Using …

WebJan 31, 2024 · Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine Learning Approaches over … 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 ... 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 … bramhall and singleton buxton

A global 1‐km downscaled SMAP soil moisture product based on …

Downscaling Satellite Retrieved Soil Moisture Using Regression …

WebDec 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 … 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. hager c 32a rcbohttp://ch.whu.edu.cn/en/article/doi/10.13203/j.whugig20240278 bramhall art group

"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- " - Smap downscaling

Smap downscaling

Downscaling SMAP Radiometer Soil Moisture Over the …

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 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 …

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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... 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-reso …

WebSMAP soil moisture downscaling. Contribute to fangbin08/SMAP development by creating an account on GitHub. 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 …

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. 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 …

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 …

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 … bramhall 1840 sheffieldWebJan 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 … bramhall architectWebJul 6, 2024 · "Synergistic Use of SMOS Measurements with SMAP Derived and In-situ Data over Valencia Anchor Station by Using Downscaling … bramford village ipswichWebJun 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 … hager cabinets richmondWebThe 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- bram fresh foodWebMay 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 … hager bush book clubWebDec 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 … hager cabinets \u0026 appliances