Statistical Learning-Based Spatial Downscaling Models for Precipitation Distribution [PDF]
Advances in Meteorology, 2022 The downscaling technique produces high spatial resolution precipitation distribution in order to analyze impacts of climate change in data-scarce regions or local scales.
Yichen Wu +3 more
doaj +4 more sources
Spatial‐statistical downscaling with uncertainty quantification in biodiversity modelling [PDF]
Methods in Ecology and EvolutionAccurate downscaling with uncertainty quantification and its inclusion in fitting biodiversity models to data are essential for accurate, valid inferences and predictions.
Xiaotian Zheng +4 more
doaj +4 more sources
Spatial Downscaling of Satellite-Based Soil Moisture Products Using Machine Learning Techniques: A Review [PDF]
Remote SensingSoil moisture (SM) is a key variable driving hydrologic, climatic, and ecological processes. Although it is highly variable, both spatially and temporally, there is limited data availability to inform about SM conditions at adequate spatial and temporal ...
Indishe P. Senanayake +5 more
doaj +5 more sources
Sensitivity Analysis of Regression-Based Trend Estimates to Input Errors in Spatial Downscaling of Coarse Resolution Remote Sensing Data [PDF]
Applied Sciences, 2023 This paper compared the predictive performance of different regression models for trend component estimation in the spatial downscaling of coarse resolution satellite data using area-to-point regression kriging in the context of the sensitivity to input ...
Geun-Ho Kwak +2 more
doaj +2 more sources
Spatial and Temporal Downscaling of TRMM Precipitation with Novel Algorithms Spatial and Temporal Downscaling of TRMM Precipitation with Novel Algorithms [PDF]
, 2020 Abstract: Tropical Rainfall Measuring Mission (TRMM) satellite products constitute valuable precipitation datasets over regions with sparse rain gauge networks. Downscaling is an effective approach to estimating the precipitation over ungauged areas with high spatial resolution. However, a large bias and low resolution of original TRMM satellite images
Zhang, Huihui +3 more
openaire +4 more sources
A Spatial Downscaling Method for Remote Sensing Soil Moisture Based on Random Forest Considering Soil Moisture Memory and Mass Conservation [PDF]
Remote Sensing, 2022 Remote sensing soil moisture (SM) has been widely used in various earth science studies and applications, but their low resolution limits their usage and downscaling of them is needed.
Taoning Mao +8 more
doaj +2 more sources
Downscaling species occupancy from coarse spatial scales [PDF]
Ecological Applications, 2012 The measurement and prediction of species' populations at different spatial scales is crucial to spatial ecology as well as conservation biology. An efficient yet challenging goal to achieve such population estimates consists of recording empirical species' presence and absence at a specific regional scale and then trying to predict occupancies at ...
Azaele, Sandro +2 more
openaire +7 more sources
Towards an Accurate and Reliable Downscaling Scheme for High-Spatial-Resolution Precipitation Data [PDF]
Remote Sensing, 2023 Accurate high-spatial-resolution precipitation is significantly important in hydrological and meteorological modelling, especially in rain-gauge-sparse areas.
Honglin Zhu +3 more
doaj +2 more sources
Spatial Downscaling of Nighttime Land Surface Temperature Based on Geographically Neural Network Weighted Regression Kriging [PDF]
Remote SensingLand surface temperature (LST) has a wide application in Earth Science-related fields, and spatial downscaling is an important method to retrieve high-resolution LST data.
Jihan Wang +6 more
doaj +2 more sources
Spatial Downscaling of Alien Species Presences Using Machine Learning [PDF]
Frontiers in Earth Science, 2017 Spatially explicit assessments of alien species environmental and socio-economic impacts, and subsequent management interventions for their mitigation, require large scale, high-resolution data on species presence distribution.
Ioannis N. Daliakopoulos +3 more
doaj +2 more sources