Land Surface Emissivity Retrieval From Different VNIR and TIR Sensors

By José A. Sobrino, J. Jiménez-Muñoz, G. Sòria, M. Romaguera, Luis Guanter, José F. Moreno, Antonio J. Plaza, Pablo Martínez. IEEE Transactions on Geoscience and Remote Sensing, 2008

659 citations recorded by the source corpus.

This paper discusses the application and adaptation of two existing operational algorithms for land surface emissivity (epsiv) retrieval from different operational satellite/airborne sensors with bands in the visible and near-infrared (VNIR) and thermal IR (TIR) regions: (1) the temperature and emissivity separation algorithm, which retrieves epsiv only from TIR data and (2) the normalized-difference vegetation index thresholds method, in which epsiv is retrieved from VNIR data.

Subfields: Atmospheric Science, Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/bc6ba71f83e7a3413644e3645492bac6958e2d3f

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. Aliihsan Sekertekin
2. Stefania Bonafoni
3. Xulin Guo
4. Zhaocong Wu
5. Xiaolei Yu
6. Fei Wang
7. Shuhe Zhao
8. Lili Tu

In Ecology

1. Aliihsan Sekertekin
2. Stefania Bonafoni
3. Xavier Pons
4. Hua Wu
5. Bo-Hui Tang
6. Guangjian Yan
7. Arnon Karnieli
8. Zhengming Wan

In Environmental Engineering

1. Stefania Bonafoni
2. Aliihsan Sekertekin
3. Xulin Guo
4. Zhaocong Wu
5. Xiaolei Yu
6. José A. Sobrino
7. Shuhe Zhao
8. Fei Wang

Citations in the corpus

• Land Surface Temperature Retrieval from Landsat 8 TIRS - Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method (2014, methodology): “The land surface emissivity was derived from a NDVI thresholds method [27].”
• Land Surface Temperature Retrieval from Landsat 5, 7, and 8 over Rural Areas: Assessment of Different Retrieval Algorithms and Emissivity Models and Toolbox Implementation (2020, methodology): “NDVI-based methods are operative and the most commonly utilized LSE retrieval methods since they are easy to apply and presenting satisfying results [36,58,83].”
• Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval From Landsat Thermal-Infrared Data (2009, methodology): “The interested reader can consult, for example, [4], [10], and [11].”
• Land surface emissivity retrieval from satellite data (2013, methodology): “Because only VNIR bands, which always have a higher spatial resolution than TIR bands, are required, emissivity with finer resolution can be mapped (Sobrino et al. 2008).”
• An Improved Mono-Window Algorithm for Land Surface Temperature Retrieval from Landsat 8 Thermal Infrared Sensor Data (2015, methodology): “At this wavelength range, the emissivity could be modeled as follows [38]:”