Smap downscaling

Author: hrpo

August undefined, 2024

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. 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 ...

Remote Sensing Free Full-Text Downscaling SMAP …

http://ch.whu.edu.cn/en/article/doi/10.13203/j.whugig20240278 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 ... thymes beauty products

Investigation of SMAP Active–Passive Downscaling Algorithms Using …

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... WebOct 6, 2024 · Spatial Downscaling of SMAP Soil Moisture Using MODIS Land Surface Temperature and NDVI During SMAPVEX15 Abstract: The Soil Moisture Active Passive (SMAP) mission provides a global surface soil moisture (SM) product at 36-km resolution from its L-band radiometer. thymes candles reviews

Spatial Downscaling and Gap-Filling of SMAP Soil …

Remote Sensing Free Full-Text Enhancing Spatial Resolution of SMAP …

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 … WebThe 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- thyme scalloped potatoesWebFor 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]. thyme scalloped potatoes recipe

"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. " - Smap downscaling

Smap downscaling

Exploring the utility of the downscaled SMAP soil moisture …

WebThe resulting downscaled SMAP estimates better characterize soil moisture spatial 17 and temporal variability and have better overall validation metrics than the original SMAP soil … 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.

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

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 … 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

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... 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.

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 …

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 … thymes candles discountWeb, A spatial downscaling approach for the SMAP passive surface soil moisture product using random forest regression, J. Hydrol. 563 (2024) 1009 – 1024. Google Scholar the last frontier kilcher family treeWebJul 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 … thymes ciderWebDec 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 … the last frontier tv show castWebMay 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 … the last frost dateWebJan 31, 2024 · Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine Learning Approaches over … the last frost date for 2023WebJul 6, 2024 · "Synergistic Use of SMOS Measurements with SMAP Derived and In-situ Data over Valencia Anchor Station by Using Downscaling … the last full measure amazon prime