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Intercomparison of Downscaling Techniques for Satellite Soil Moisture Products [PDF]

Advances in Meteorology, 2018
During recent decades, various downscaling methods of satellite soil moisture (SM) products, which incorporate geophysical variables such as land surface temperature and vegetation, have been studied for improving their spatial resolution.
Daeun Kim, Heewon Moon, Hyunglok Kim, Jungho Im, Minha Choi   +4 more
doaj   +2 more sources

Sensitivity Analysis of Regression-Based Trend Estimates to Input Errors in Spatial Downscaling of Coarse Resolution Remote Sensing Data

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, Sungwook Hong, No-Wook Park   +2 more
doaj   +1 more source

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, D. M. Roche, D. M. Roche, R. Fyfe, A. Quiquet, H. Renssen   +5 more
doaj   +1 more source

A High-Resolution Land Surface Temperature Downscaling Method Based on Geographically Weighted Neural Network Regression

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, Laifu Zhang, Sensen Wu, Yilin Zhu, Zhen Dai, Yuanyuan Wang, Jin Qi, Yijun Chen, Zhenhong Du   +8 more
doaj   +1 more source

Time Varying Spatial Downscaling of Satellite-Based Drought Index

Remote Sensing, 2021
Drought monitoring is essential to detect the presence of drought, and the comprehensive change of drought conditions on a regional or global scale. This study used satellite precipitation data from the Tropical Rainfall Measuring Mission (TRMM), but ...
Hone-Jay Chu, Regita Faridatunisa Wijayanti, Lalu Muhamad Jaelani, Hui-Ping Tsai   +3 more
doaj   +1 more source

An Improved Approach for Downscaling Coarse-Resolution Thermal Data by Minimizing the Spatial Averaging Biases in Random Forest

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, Chris M. Mannaerts, Zhongbo Su   +2 more
doaj   +1 more source

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, P. R. Sarukkalige, V. T. V. Nguyen   +2 more
doaj   +1 more source

A Spatial Downscaling Method for Remote Sensing Soil Moisture Based on Random Forest Considering Soil Moisture Memory and Mass Conservation

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, Wei Shangguan, Qingliang Li, Lu Li, Ye Zhang, Feini Huang, Jianduo Li, Wei Liu, Ruqing Zhang   +8 more
doaj   +1 more source

Spatial Downscaling of Land Surface Temperature over Heterogeneous Regions Using Random Forest Regression Considering Spatial Features

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
doaj   +1 more source

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