Paper
30 December 1997 Remote sensing analysis of Mediterranean ecosystem canopies and upscaling studies
Fausto Manes, Silvia Anselmi, Eleonora Canfora, Monica Giannini
Author Affiliations +
Proceedings Volume 3222, Earth Surface Remote Sensing; (1997) https://doi.org/10.1117/12.298133
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom
Abstract
This study analyzed a natural site located in Central Italy which is a part of the Circeo National Park. An integrated approach was developed to correlate remote sensing TM data with field measurements of Leaf Area Index (LAI). Six vegetation types were discriminated by a supervised classification of the Circeo forest. Approximately 80% of the surface of the territory analyzed is dominated by natural mixed oak woody communities. Pine reforested areas are also present. LAI field measurements were correlated with normalized difference vegetation index (NDVI) obtaining a high correlation (y equals 15.587X2.2967; r2 equals 0.88). An estimation of LAI for the entire forest was performed and an LAI map created. The correlation between the measured and the estimated LAI was also high (r2 equals 0.91). The study shows the potential of spatial scale integration to analyze and to monitor plant coenosis in Mediterranean areas.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fausto Manes, Silvia Anselmi, Eleonora Canfora, and Monica Giannini "Remote sensing analysis of Mediterranean ecosystem canopies and upscaling studies", Proc. SPIE 3222, Earth Surface Remote Sensing, (30 December 1997); https://doi.org/10.1117/12.298133
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Vegetation

Remote sensing

Ecosystems

Climatology

Earth observing sensors

Landsat

Satellites

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