Assessing water surface temperature from Landsat imagery and its relationship with a nuclear power plant-Reference-Cited by-同舟云学术

Assessing water surface temperature from Landsat imagery and its relationship with a nuclear power plant

Published:2020-11-25 Issue:1 Volume:66 Page:50-58
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Bonansea Matias¹²,Ferrero Susana³,Ferral Anabella⁴,Ledesma Micaela²,German Alba⁴,Carreño Joel²,Rodriguez Claudia²,Pinotti Lucio¹

Affiliation:

1. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente (ICBIA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Córdoba, Argentina

2. Departamento de Estudios Básico y Agropecuarios, Facultad de Agronomía y Veterinaria (FAyV), Universidad Nacional de Río Cuarto (UNRC), Córdoba, Argentina

3. Departamento Matemática, Facultad de Ciencias Exactas, Físico-Químicas y Naturales (FCEFQyN), UNRC, Córdoba, Argentina

4. Instituto de Altos Estudios Espaciales Mario Gulich, Centro Espacial Teófilo Tabanera, Comisión Nacional de Actividades Espaciales (CONAE), Córdoba, Argentina

Funder

CONICET-FONCyT

SECyT-UNRC

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2020.1845342

Reference46 articles.

1. Application of satellite infrared data for mapping of thermal plume contamination in coastal ecosystem of Korea

2. Remote sensing of water surface temperature and heat flux over a tropical hydroelectric reservoir

3. Accurately estimating local water temperature from remotely sensed satellite sea surface temperature: A near real-time monitoring tool for marine protected areas

4. Development and verification of a non-linear disaggregation method (NL-DisTrad) to downscale MODIS land surface temperature to the spatial scale of Landsat thermal data to estimate evapotranspiration

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