Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study

By Katja Berger, Clement Atzberger, Martin Danner, Guido D'Urso, Wolfram Mauser, Francesco Vuolo, Tobias B. Hank. Remote Sensing, 2018

296 citations recorded by the source corpus.

Upcoming satellite hyperspectral sensors require powerful and robust methodologies for making optimum use of the rich spectral data. This paper reviews the widely applied coupled PROSPECT and SAIL radiative transfer models (PROSAIL), regarding their suitability for the retrieval of biophysical and biochemical variables in the context of agricultural crop monitoring. Evaluation was carried out using a systematic literature review of 281 scientific publications with regard to their (i) spectral exploitation, (ii) vegetation type analyzed, (iii) variables retrieved, and (iv) choice of retrieval methods. From the analysis, current trends were derived, and problems identified and discussed. Our analysis clearly shows that the PROSAIL model is well suited for the analysis of imaging spectrometer data from future satellite missions and that the model should be integrated in appropriate software tools that are being developed in this context for agricultural applications. The review supports the decision of potential users to employ PROSAIL for their specific data analysis and provides guidelines for choosing between the diverse retrieval techniques.

Subfields: Analytical Chemistry, Ecology, Media Technology

View Paper: https://www.semanticscholar.org/paper/81bb26cb7d50aafeb68fc68019ab769f98c9d196

How researchers see this paper

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

In Analytical Chemistry

1. Fulya Baysal-Gurel
2. Samuel C. Hassler
3. Jean-Baptiste F'eret
4. Z. Malenovsky

In Ecology

1. Katja Berger
2. Fulya Baysal-Gurel
3. Samuel C. Hassler
4. Jean-Baptiste F'eret
5. Florian de Boissieu
6. Z. Malenovsky

In Media Technology

1. Fulya Baysal-Gurel
2. Samuel C. Hassler

Citations in the corpus

• PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents (2020, methodology): “Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study.”
• Unmanned Aircraft System (UAS) Technology and Applications in Agriculture (2019, methodology): “Aside from vegetation indices, the use of radiative transfer models such as PROSAIL has also shown great success in estimating biomass [44].”