Pansharpened landsat 8 thermal-infrared data for improved Land Surface Temperature characterization in a heterogeneous urban landscape-Reference-Cited by-同舟云学术

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Pansharpened landsat 8 thermal-infrared data for improved Land Surface Temperature characterization in a heterogeneous urban landscape

Published:2022-04 Issue: Volume:26 Page:100728
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Mushore Terence Darlington,Mutanga Onisimo,Odindi John,Sadza Vanessa,Dube Timothy

Funder

National Research Foundation

Deutscher Akademischer Austauschdienst

Bundesministerium für Bildung und Forschung

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Reference88 articles.

1. Exploring landsat 8;Acharya;Int. J. IT Eng. Appl. Sci. Res. (IJIEASR),2015

2. Exploiting machine learning algorithms for tree species classification in a semiarid woodland using RapidEye image;Adelabu;J. Appl. Remote Sens.,2013

3. A vegetation index based technique for spatial sharpening of thermal imagery;Agam;Remote Sens. Environ.,2007

4. Improving component substitution pansharpening through multivariate regression of MS+Pan data;Aiazzi;IEEE Trans. Geosci. Rem. Sens.,2007

5. Spatial-temporal dynamics of land surface temperature in relation to fractional vegetation cover and land use/cover in the Tabriz urban area, Iran;Amiri;Remote Sens. Environ.,2009

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