Paper
19 June 2015 Testing high spatial resolution WorldView-2 imagery for retrieving the leaf area index
Eufemia Tarantino, Antonio Novelli, Maurizio Laterza, Andrea Gioia
Author Affiliations +
Proceedings Volume 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015); 95351N (2015) https://doi.org/10.1117/12.2192561
Event: Third International Conference on Remote Sensing and Geoinformation of the Environment, 2015, Paphos, Cyprus
Abstract
This work analyzes the potentiality of WorldView-2 satellite data for retrieving the Leaf Area Index (LAI) area located in Apulia, the most Eastern region of Italy, overlooking the Adriatic and Ionian seas. Lacking contemporary in-situ measurements, the semi-empiric method of Clevers (1989) (CLAIR model) was chosen as a feasible image-based LAI retrieval method, which is based on an inverse exponential relationship between the LAI and the WDVI (Weighted Difference Vegetation Index) with relation to different land covers. Results were examined in homogeneous land cover classes and compared with values obtained in recent literature.
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Eufemia Tarantino, Antonio Novelli, Maurizio Laterza, and Andrea Gioia "Testing high spatial resolution WorldView-2 imagery for retrieving the leaf area index", Proc. SPIE 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015), 95351N (19 June 2015); https://doi.org/10.1117/12.2192561
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Cited by 16 scholarly publications.
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KEYWORDS
Near infrared

Vegetation

Data modeling

Spatial resolution

Reflectivity

Satellites

Agriculture

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