Paper Info
Title
Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study.
Abstract
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.
Year
DOI
Venue
2018
10.3390/rs10010085
REMOTE SENSING
Keywords
Field
DocType
PROSAIL,biophysical and biochemical variables,EnMAP sensor,model inversion,hyperspectral,leaf area index (LAI),radiative transfer model
Data mining,Imaging spectrometer,Satellite,Model inversion,Systematic review,Remote sensing,Atmospheric radiative transfer codes,Hyperspectral imaging,Spectral data,Software,Geology
Journal
Volume
Issue
Citations 
10
1
11
PageRank 
References 
Authors
0.82
36
7
Name
Order
Citations
PageRank
Katja Berger1206.19
Clement Atzberger255755.26
Martin Danner3182.70
Guido D'Urso49413.12
Wolfram Mauser523335.12
francesco vuolo613217.93
Tobias Hank75411.02