The analysis of LAI is of great importance to evaluate the structural characteristics of a plant community. Vegetation types remote sensed analysis is a useful tool for the investigation of structural and functional characteristics of ecosystems. The integration of data acquired at these two different spatial scales contributes to the management of the land use and in particular of protected areas for the conservation of biodiversity. Field measuraments (LAI) and remote sensed data (Landsat 5 TM) were performed in the Circeo National Park and in the Presidential Estate of Castelporziano (located along the coast of Lazio, Italy, and characterised by Mediterranean climate). In this study the relationships between LAI and vegetation indices (NDVI, PVI, SAVI, GVI) were analysed; the NDVI showed the best correlation with the LAI. Using NDVI/LAI low power we estimated the LAI for the entire study areas on a multitemporal basis and plotted different LAI maps. The results obtained permitted to define a useful approach to analyse the canopy conditions of Mediterranean ecosystems on a multitemporal scale and also to highlight the effects of biotic and abiotic causes on vegetative growth as phytophagous attac and climatic stress due to local annual variability and to potential climatic change.

Relationships between Leaf Area Index (LAI) and Vegetation Indices to analyse and monitor Mediterranean ecosystems / Manes, Fausto; Anselmi, Silvia; Monica, Giannini; Susanna, Melini. - STAMPA. - 4171:(2001), pp. 328-335. (Intervento presentato al convegno Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology II tenutosi a BARCELONA, SPAIN nel SEP 25-27, 2000) [10.1117/12.413942].

Relationships between Leaf Area Index (LAI) and Vegetation Indices to analyse and monitor Mediterranean ecosystems

MANES, Fausto;ANSELMI, SILVIA;
2001

Abstract

The analysis of LAI is of great importance to evaluate the structural characteristics of a plant community. Vegetation types remote sensed analysis is a useful tool for the investigation of structural and functional characteristics of ecosystems. The integration of data acquired at these two different spatial scales contributes to the management of the land use and in particular of protected areas for the conservation of biodiversity. Field measuraments (LAI) and remote sensed data (Landsat 5 TM) were performed in the Circeo National Park and in the Presidential Estate of Castelporziano (located along the coast of Lazio, Italy, and characterised by Mediterranean climate). In this study the relationships between LAI and vegetation indices (NDVI, PVI, SAVI, GVI) were analysed; the NDVI showed the best correlation with the LAI. Using NDVI/LAI low power we estimated the LAI for the entire study areas on a multitemporal basis and plotted different LAI maps. The results obtained permitted to define a useful approach to analyse the canopy conditions of Mediterranean ecosystems on a multitemporal scale and also to highlight the effects of biotic and abiotic causes on vegetative growth as phytophagous attac and climatic stress due to local annual variability and to potential climatic change.
2001
Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology II
leaf area index; mediterranean ecosystems; vegetation indices
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Relationships between Leaf Area Index (LAI) and Vegetation Indices to analyse and monitor Mediterranean ecosystems / Manes, Fausto; Anselmi, Silvia; Monica, Giannini; Susanna, Melini. - STAMPA. - 4171:(2001), pp. 328-335. (Intervento presentato al convegno Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology II tenutosi a BARCELONA, SPAIN nel SEP 25-27, 2000) [10.1117/12.413942].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/155451
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