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Downscaling essential climate variable soil moisture using multisource data from 2003 to 2010 in China

Hui-Lin Wang, Ru An, Jia-jun You, Ying Wang, Yuehong Chen, Xiao-ji Shen, Wei Gao, Yi-nan Wang, Yu Zhang, Zhe Wang, Jonathan Arthur Quaye-Ballard
2017 Journal of Applied Remote Sensing  
The performance was also assessed using the G DOWN metric, a measure of the overall performance of the downscaling methods based on the same dataset.  ...  The datasets comprise land surface, brightness temperature, precipitation, and soil and topographic parameters from high-resolution data, and active/passive microwave remotely sensed Essential Climate  ...  Methods of Downscaling Independent explanatory variables for soil moisture Studies have showed that the main factors affecting soil moisture are climate, terrain, and land surface and soil characteristics  ... 
doi:10.1117/1.jrs.11.045003 fatcat:2mhtjufd45duvnx5mf45wqz3y4

Spatial Downscaling of Land Surface Temperature Based on a Multi-Factor Geographically Weighted Machine Learning Model

Saiping Xu, Qianjun Zhao, Kai Yin, Guojin He, Zhaoming Zhang, Guizhou Wang, Meiping Wen, Ning Zhang
2021 Remote Sensing  
Land surface temperature (LST) is a critical parameter of surface energy fluxes and has become the focus of numerous studies.  ...  To address this issue, we propose a multi-factor geographically weighted machine learning (MFGWML) algorithm.  ...  Meanwhile, we thank associate professor Mengmeng Wang (China University of Geosciences) for his insightful suggestions. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13061186 fatcat:mqfzpslrb5bvbi4g4usu3isxwm

Downscaling of ASTER Thermal Images Based on Geographically Weighted Regression Kriging

Osvaldo Pereira, Adolpho Melfi, Célia Montes, Yves Lucas
2018 Remote Sensing  
The lower spatial resolution of thermal infrared (TIR) satellite images and derived land surface temperature (LST) is one of the biggest challenges in mapping temperature at a detailed map scale.  ...  Vegetation Index (NDVI), according to the geographically weighted regression (GWRK) and area-to-point kriging of regressed residuals.  ...  Y.L. supported with insights on image downscaling, also helping on the suggestion of improvements in the first efforts of O.J.R.P. on downscaling satellite images.  ... 
doi:10.3390/rs10040633 fatcat:htrzr7ydgje7tez4fd4o2nj4pu

Downscaling Aster Land Surface Temperature over Urban Areas with Machine Learning-Based Area-To-Point Regression Kriging

Jianhui Xu, Feifei Zhang, Hao Jiang, Hongda Hu, Kaiwen Zhong, Wenlong Jing, Ji Yang, Binghao Jia
2020 Remote Sensing  
Land surface temperature (LST) is a vital physical parameter of earth surface system. Estimating high-resolution LST precisely is essential to understand heat change processes in urban environments.  ...  NDVI is a poor indicator for impervious surfaces and water bodies; the RFATPK captured LST difference over different land coverage patterns and produced the spatial details of downscaled LST on heterogeneous  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12071082 fatcat:vv3fz22b3vdrzp3a37adk4hmkm

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

Kai Tang, Hongchun Zhu, Ping Ni
2021 Remote Sensing  
Land surface temperature (LST) is one of the crucial parameters in the physical processes of the Earth.  ...  weighted regression, and random forest downscaling method.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13183645 fatcat:hfa6hihkzbdmjjq467m5ndobse

Climate projections and downscaling techniques: a discussion for impact studies in urban systems

Marek Smid, Ana Cristina Costa
2017 International Journal of Urban Sciences  
Thirdly, special attention is given to previous works focused on the utilization of downscaled ensembles of climate simulations in urban agglomerations.  ...  In the context of the planet currently undergoing a process of greenhouse warming, and simultaneously predominantly urban based ever continuing population growth, our agglomerations became vulnerable to  ...  One of the most complex approaches for downscaling urban climate data involving land use modelling is the work of Solecki and Oliveri (2004) .  ... 
doi:10.1080/12265934.2017.1409132 fatcat:umfejopwonggbgq23p43xbfwr4

Spatially Continuous and High-resolution Land Surface Temperature: A Review of Reconstruction and Spatiotemporal Fusion Techniques [article]

Penghai Wu, Zhixiang Yin, Chao Zeng, Sibo Duan, Frank-Michael Gottsche, Xiaoshaung Ma, Xinghua Li, Hui Yang, Huanfeng Shen
2019 arXiv   pre-print
(PMW)-based and Surface Energy Balance (SEB)-based methods) and three kinds of spatiotemporal fusion methods (weighted function-based, unmixing-based and hybrid methods).  ...  Remotely sensed, spatially continuous and high spatiotemporal resolution (hereafter referred to as high resolution) land surface temperature (LST) is a key parameter for studying the thermal environment  ...  Recently, Fu et al. proposed another physical model-based method for retrieving urban land surface temperatures under cloudy conditions (Fu et al. 2019).  ... 
arXiv:1909.09316v1 fatcat:vuh27iundzcofko7httat6kocm

Fine-Resolution Precipitation Mapping in a Mountainous Watershed: Geostatistical Downscaling of TRMM Products Based on Environmental Variables

Yueyuan Zhang, Yungang Li, Xuan Ji, Xian Luo, Xue Li
2018 Remote Sensing  
According to the comparison of different regression models and residual interpolation methods, a geographically-weighted regression kriging (GWRK) method was accepted to conduct the downscaling of TRMM  ...  Therefore, it is feasible to develop a spatial downscaling-calibration procedure for low-resolution satellite-based precipitation datasets based on NDVI and terrain factors in this area.  ...  Acknowledgments: This work was funded by the National Key R & D Program of China (grant 2016YFA0601601) and Applied Basic Research Programs of Yunnan Province (grant 2017FB071).  ... 
doi:10.3390/rs10010119 fatcat:rtyhuk3uknbonouku2fesm4pky

Downscaling Switzerland Land Use/Land Cover Data Using Nearest Neighbors and an Expert System

Gregory Giuliani, Denisa Rodila, Nathan Külling, Ramona Maggini, Anthony Lehmann
2022 Land  
The spatial resolution of the resulting LU/LC map was improved by a factor of 16 to reach a resolution of 25 m, while the thematic resolution was increased from 29 (in the base map) to 62 land use categories  ...  The method presented in this study is a generalizable approach that can be used to downscale different types of geographic information.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/land11050615 fatcat:ymcotqer2jgn5bgnepaxxgc6za

High-resolution air temperature mapping in urban areas: A review on different modelling techniques

Hamid Taheri-Shahraiyni, Sahar Sodoudi
2017 Thermal Science  
the major factors affecting air temperature in urban areas are introduced.  ...  Based upon previous studies and developments, the interpolation, regression and coupled simulation techniques show potential for spatio-temporal modelling of air temperature in urban areas.  ...  They thank Kristin Krone for her valuable help in the preparation of this paper in journal style format. They also thank Chris Engert and David Mottram for their valuable proof-readings of this paper.  ... 
doi:10.2298/tsci150922094t fatcat:rcejiv6rtjdurf27eqwzosdu3q

Urban-Hazard Risk Analysis: Mapping of Heat-Related Risks in the Elderly in Major Italian Cities

Marco Morabito, Alfonso Crisci, Beniamino Gioli, Giovanni Gualtieri, Piero Toscano, Valentina Di Stefano, Simone Orlandini, Gian Franco Gensini, Koustuv Dalal
2015 PLoS ONE  
night-time land surface temperatures (LST).  ...  Short-term impacts of high temperatures on the elderly are well known.  ...  b LST: Land Surface Temperature. c SD: Standard Deviation.  ... 
doi:10.1371/journal.pone.0127277 pmid:25985204 pmcid:PMC4436225 fatcat:xrpiw5wgbvb3zpr2xeo5rkqpx4

Estimating Subpixel Surface Heat Fluxes through Applying Temperature-Sharpening Methods to MODIS Data

Xiaojun Li, Xiaozhou Xin, Jingjun Jiao, Zhiqing Peng, Hailong Zhang, Shanshan Shao, Qinhuo Liu
2017 Remote Sensing  
Two temperature-sharpening methods, the disaggregation procedure for radiometric surface temperature (DisTrad) and the geographically-weighted regression (GWR)-based downscaling algorithm, were used to  ...  obtain accurate subpixel land surface temperature (LST) within the Zhangye oasis in China, where the surface is heterogeneous.  ...  In addition, we thank all of the scientists and engineers who took part in the HiWATER experiment. This Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs9080836 fatcat:htagbpaoqbfnrg7gw4ueya7yyu

Guidelines For Use Of Climate Scenarios Developed From Statistical Downscaling Methods [article]

RL Wilby, SP Charles, E Zorita, B Timbal, P Whetton, LO Mearns
2004 Zenodo  
This is especially true for regions of complex topography, coastal or island locations, and in regions of highly heterogeneous land-cover.  ...  This guidance documents reviews statistical methods of estimating point climate from coarse scale climate projections.  ...  22/27 ACKNOWLEDGEMENTS The authors are extremely grateful to Elaine Barrow, Tim Carter, Bruce Hewitson and John Mitchell for their constructive remarks on earlier versions of the document.  ... 
doi:10.5281/zenodo.1438319 fatcat:onml7kdsezcypaeloxfgjdgtfi

Downscaling Land Surface Temperature from MODIS Dataset with Random Forest Approach over Alpine Vegetated Areas

Paulina Bartkowiak, Mariapina Castelli, Claudia Notarnicola
2019 Remote Sensing  
Due to the topographical and land-cover complexity and to the sparse distribution of meteorological stations in the region, the remotely-sensed land surface temperature (LST) at regional scale is of major  ...  vegetation content (EM1) and (iii) only pixels with 75% threshold of homogeneity for vegetated land-cover classes (EM2).  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11111319 fatcat:64txde2wpbe6znhbx35djekqvi

The Impact of Climate Change on the Viticultural Suitability of Maipo Valley, Chile

Megan Mills-Novoa, Philippo Pszczólkowski, Francisco Meza
2016 Professional Geographer  
The impact of climate change on viticultural suitability was modeled by overlaying downscaled Global Circulation Model temperature data for two emission scenarios.  ...  Using a GIS analysis of topographic, soil, land use and climate data, a baseline assessment of viticultural suitability in the Maipo Valley was performed.  ...  Acknowledgements The authors appreciate the contribution of David Poblete and Eduardo Bustos from the Centro de Cambio Global for their help with the downscaling process and trouble-shooting as well as  ... 
doi:10.1080/00330124.2015.1124788 fatcat:td3g2ydy6fc25oagzl6rhgza6u
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