Smap downscaling

Author: zqke

August undefined, 2024

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. 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 …

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

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

Investigation of SMAP Active–Passive Downscaling Algorithms Using …

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 … 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. sohn motorcycles

Evaluation of SMAP downscaled brightness temperature …

Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to …

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 WebJul 6, 2024 · "Synergistic Use of SMOS Measurements with SMAP Derived and In-situ Data over Valencia Anchor Station by Using Downscaling … sohn motorcycles speyerWebAug 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 … sohn mcclure charleston sc

"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 … " - Smap downscaling

Smap downscaling

Exploring the combined use of SMAP and Sentinel-1 data for downscaling …

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. …

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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 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 …

WebComprehensive analysis of alternative downscaled soil moisture products 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 …

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 … 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

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.

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 … sohn moyenmoutierWebFor 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]. sohn mary roosWebOct 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 … sohn nationalityWebFeb 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 … sohn mcclureWeb, A spatial downscaling approach for the SMAP passive surface soil moisture product using random forest regression, J. Hydrol. 563 (2024) 1009 – 1024. Google Scholar slp c no. 12150 of 2019WebA 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. sohn musicianWeb14 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- slp cognition goals