Results 31 to 40 of about 41,752 (176)
Downscaling MODIS spectral bands using deep learning
GIScience & Remote Sensing, 2021 MODIS sensors are widely used in a broad range of environmental studies, many of which involve joint analysis of multiple MODIS spectral bands acquired at disparate spatial resolutions.
Rohit Mukherjee, Desheng Liu
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Remote Sensing, 2022 Remote sensing images of nighttime lights (NTL) were successfully used at global and regional scales for various applications, including studies on population, politics, economics, and environmental protection.
Shangqin Liu +7 more
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Sensors, 2019 Downscaling microwave soil moisture (SM) with optical/thermal remote sensing data has considerable application potential. Spatial correlations between SM and land surface temperature (LST) or LST-derived SM indexes (SMIs) are vital to the current optical/
Hao Sun, Baichi Zhou, Hongxing Liu
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Land surface temperature (LST) is a key parameter in numerous thermal environmental studies. Due to technical constraints, satellite thermal sensors are unable to supply thermal infrared images with simultaneous high spatial and temporal resolution.
Shumin Wang, Xiaobo Luo, Yidong Peng
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Remote Sensing, 2021 Land surface temperature (LST) is a vital physical parameter in geoscience research and plays a prominent role in surface and atmosphere interaction. Due to technical restrictions, the spatiotemporal resolution of satellite remote sensing LST data is ...
Shumin Wang +6 more
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Exploring the combined use of SMAP and Sentinel-1 data for downscaling soil moisture beyond the 1 km scale [PDF]
Hydrology and Earth System Sciences, 2022 Soil moisture estimates at high spatial and temporal resolution are of great value for optimizing water and agricultural management. To fill the gap between local ground observations and coarse spatial resolution remote sensing products, we use Soil ...
R. Meyer +9 more
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Downscaling landsat land surface temperature over the urban area of Florence [PDF]
, 2016 A new downscaling algorithm for land surface temperature (LST) images retrieved from Landsat Thematic Mapper (TM) was developed over the city of Florence and the results assessed against a high-resolution aerial image.
ANNIBALLE, ROBERTA +3 more
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Energy Procedia, 2015 AbstractAlthough city scale aggregate electricity demands are usually estimated by multiplying intensity data by floor space, in Japan there are few available sources for municipality level building stock (floor space) data. Hence in this study, we attempt to create municipality level building stock data using the techniques of spatial statistical ...
Murakami, Daisuke +2 more
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Impact of day/night time land surface temperature in soil moisture disaggregation algorithms [PDF]
, 2016 Since its launch in 2009, the ESA’s SMOS mission is providing global soil moisture (SM) maps at ~40 km, using the first L-band microwave radiometer on space.
Camps Carmona, Adriano José +5 more
core +2 more sources
A comparison of stochastic models for spatial rainfall downscaling [PDF]
Water Resources Research, 2003 We explore the performance of three types of stochastic models used for spatial rainfall downscaling and assess their ability to reproduce the statistics of precipitation fields observed during the GATE radar experiment. We consider a bounded multifractal cascade, an autoregressive linear process passed through a nonlinear static filter (sometimes ...
FERRARIS, LUCA +3 more
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