Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats

By Wenfeng Zhan, Yunhao Chen, Ji Zhou, Jinfei Wang, Wenyu Liu, James A. Voogt, Xiaolin Zhu, Jinling Quan, Jing Li. 2013

331 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/3f70ae40733818192029a555f9a6a581f516406e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Huanfeng Shen
2. Qiangqiang Yuan
3. José A. Sobrino
4. Stefania Bonafoni
5. Kaveh Deilami
6. Liangpei Zhang
7. Bo Du

In Environmental Engineering

1. Stefania Bonafoni
2. José A. Sobrino
3. J. Xiao
4. Huanfeng Shen
5. Kaveh Deilami
6. Liangpei Zhang

Citations in the corpus

• Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives (2018, background): “For example, the LST spatiotemporal fu ion schemes hold great potential to address this gap [54].”
• Deep learning in environmental remote sensing: Achievements and challenges (2020, background): “…(Ta) are signi fi cant parameters that play crucial roles in related environmental studies and management activities, including surface energy fl uxes, climate change, agricultural productivity, urban heat island monitoring, and industrial studies (Schoof and Pryor, 2001; Zhan et al., 2013).”