Spectral reflectance and emissivity features of broad leaf plants: Prospects for remote sensing in the thermal infrared (8.0–14.0 μm)

By B. Luz, J. K. Crowley. 2007

189 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Plant Science

View Paper: https://www.semanticscholar.org/paper/baea4b08e10c0e9776370ff6d4bcb658014f4331

How researchers see this paper

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

In Ecology

1. Hua Wu
2. Bo-Hui Tang
3. Guangjian Yan
4. M. Kamruzzaman
5. Yan Liu
6. Zhengming Wan
7. Kaveh Deilami

In Environmental Engineering

1. José A. Sobrino
2. Hua Wu
3. Bo-Hui Tang
4. Guangjian Yan
5. M. Kamruzzaman
6. Yan Liu
7. Zhengming Wan
8. Kaveh Deilami

In Plant Science

1. Hua Wu
2. Guangjian Yan

Citations in the corpus

• Retrieval of leaf water content spanning the visible to thermal infrared spectra (2014, unknown): “The advent of sensor technology in the MIR 256 (2.5-6.0 µm) and TIR (8.0-14.0 µm) enables the assessm nt and monitoring of vegetation 257 functions or physiological status (Ribeiro da Luz 2006; Ribeiro da Luz and Crowley 2007, 2010; 258 Ullah et al. 2012b).”
• Urban heat island effect: A systematic review of spatio-temporal factors, data, methods, and mitigation measures (2018, background): “The different species of vegetation have differential level of effect on UHI (Ribeiro da Luz and Crowley, 2007; Snyder et al., 1998).”
• Land surface emissivity retrieval from satellite data (2013, background): “Ribeiro da Luz and Crowley (2007) found that some useful spectral information associated with leaf chemical constituents and structural aspects may be detectable from the spectral behaviours of emissivity.”