Results 11 to 20 of about 42,095 (293)
Simulations of the Holocene climate in Europe using an interactive downscaling within the iLOVECLIM model (version 1.1) [PDF]
Climate of the Past, 2023 This study presents the application of an interactive downscaling in Europe using iLOVECLIM (a model of intermediate complexity), increasing its atmospheric resolution from 5.56 to 0.25∘ kilometric.
F. Arthur +5 more
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Blocks-removed spatial unmixing for downscaling MODIS images [PDF]
Remote Sensing of Environment, 2021 Abstract The Terra/Aqua MODerate resolution Imaging Spectroradiometer (MODIS) data have been used widely for global monitoring of the Earth's surface due to their daily fine temporal resolution. The spatial resolution of MODIS time-series (i.e., 500 m), however, is too coarse for local monitoring.
Wang, Q. +4 more
openaire +2 more sources
Remote Sensing, 2023 Spatial downscaling is an important approach to obtain high-resolution land surface temperature (LST) for thermal environment research. However, existing downscaling methods are unable to sufficiently address both spatial heterogeneity and complex ...
Minggao Liang +8 more
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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 +4 more sources
Residential electricity demand projections for Italy: A spatial downscaling approach [PDF]
Energy Policy, 2022 This work projects future residential electricity demand in Italy at the local (1 km grid) level based on population, land use, socio-economic and climate scenarios for the year 2050. A two-step approach is employed. In the first step, a grid-level model is estimated to explain land use as a function of socio-economic and demographic variables.
Massimiliano Rizzati +4 more
openaire +3 more sources
Remote Sensing, 2020 Land surface temperature (LST) plays a fundamental role in various geophysical processes at varying spatial and temporal scales. Satellite-based observations of LST provide a viable option for monitoring the spatial-temporal evolution of these processes.
Sammy M. Njuki +2 more
doaj +1 more source
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
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Downscaling approach to develop future sub-daily IDF relations for Canberra Airport Region, Australia [PDF]
Proceedings of the International Association of Hydrological Sciences, 2015 Downscaling of climate projections is the most adopted method to assess the impacts of climate change at regional and local scale. In the last decade, downscaling techniques which provide reasonable improvement to resolution of General Circulation ...
H. M. S. M. Herath +2 more
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Remote Sensing, 2021 Land surface temperature (LST) is one of the crucial parameters in the physical processes of the Earth. Acquiring LST images with high spatial and temporal resolutions is currently difficult because of the technical restriction of satellite thermal ...
Kai Tang, Hongchun Zhu, Ping Ni
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Application of Gaofen-6 Images in the Downscaling of Land Surface Temperatures
Remote Sensing, 2022 The coarse resolution of land surface temperatures (LSTs) retrieved from thermal-infrared (TIR) satellite images restricts their usage. One way to improve the resolution of such LSTs is downscaling using high-resolution remote sensing images.
Xiaoyuan Li, Xiufeng He, Xin Pan
doaj +1 more source