A global regression method for thermal sharpening of urban land surface temperatures from MODIS and Landsat-Reference-Cited by-同舟云学术

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A global regression method for thermal sharpening of urban land surface temperatures from MODIS and Landsat

Published:2019-12-23 Issue:8 Volume:41 Page:2986-3009
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Wang James Wei¹²^ORCID,Chow Winston T.L.³^ORCID,Wang Yi-Chen¹^ORCID

Affiliation:

1. Department of Geography, National University of Singapore, Singapore, Singapore

2. National Parks Board, Centre for Urban Greenery and Ecology, Singapore, Singapore

3. School of Social Sciences, Singapore Management University, Singapore, Singapore

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2019.1697009

Reference60 articles.

1. Utility of thermal image sharpening for monitoring field-scale evapotranspiration over rainfed and irrigated agricultural regions

2. A vegetation index based technique for spatial sharpening of thermal imagery

3. Continuous measurement of whole-tree water balance for studying urban tree transpiration

4. Downscaling Land Surface Temperature in an Urban Area: A Case Study for Hamburg, Germany

5. Downscaling Landsat Land Surface Temperature over the urban area of Florence

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1. A stepwise unmixing model to address the scale gap issue present in downscaling of geostationary meteorological satellite surface temperature images;Remote Sensing of Environment;2024-05

2. Projection of urban land surface temperature: An inter- and intra-annual modeling approach;Urban Climate;2023-09

3. A MODIS–Landsat cloud-based spatiotemporal downscaling algorithm to estimate land surface temperature;International Journal of Remote Sensing;2023-08-03

4. Thermal infrared remote sensing data downscaling investigations: An overview on current status and perspectives;Remote Sensing Applications: Society and Environment;2023-01

5. Downscaling MODIS nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest;International Journal of Applied Earth Observation and Geoinformation;2022-06

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