&lt;title&gt;Remote sensing analysis of Mediterranean ecosystem canopies and upscaling studies&lt;/title&gt;

Manes, Fausto; Anselmi, Silvia; Canfora, E.; Giannini, Maria Teresa

doi:10.1117/12.298133

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…The PAI values, measured in the field, vary from a value of 2.69 for the reafforestations of Pinus pinea L., to 4.94 for the deciduous oaks forest with Carpinus orientalis Miller. The pine reafforestations showed PAI values lower than those of the broadleaf species with an equal degree of cover, because of the different architecture of the canopy and of the different leaf morphology (Manes et al, 1997b). The «broadleaf woods with prevalent deciduous oaks» show PAI values in accordance with what is reported by Gower et al (1999).…”

Section: Results and Disussionsupporting

confidence: 83%

“…The climate is of Mediterranean type, with modest rainfall irregularly distributed through the year, and drought period that can last even more than 3 months. The Estate is characterised by its very heterogeneous plant types which are, moving inland from the coastline: psammophilous vegetation, maquis coenoses, woods mainly of Quercus ilex L. and woods with a prevalence of deciduous oaks (Manes et al, 1997b).…”

Section: Study Areamentioning

confidence: 99%

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Multiscale integration of satellite, airborne and field data for Mediterranean vegetation studies in the natural area of the Castelporziano Estate (Rome)

Allegrini

Anselmi

Cavalli³

et al. 2009

Annals of Geophysics

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A new experimental approach to land analysis has recently been developed, based on the integration of information acquired on different scales; it enables the structure and the functionality of the vegetation in natural ecosystems to be analysed. This research aims at assessing the potentiality of the experimental approach by the integration of airborne and satellite remotely sensed data with ground measurements of structural parameters. In July 1999 a joint campaign for the acquisition of airborne (MIVIS, spatial resolution 3 m) and satellite remotely sensed data (Landsat 5TM, spatial resolution 30 m) and measures taken at ground (PAI), was deployed in the Presidential Estate at Castelporziano (Rome, Italy). The spectral signatures of the main vegetational types of the Estate were examined and the PAI were related to NDVI values, calculated by means of satellite and airborne images. The adopted approach enabled PAI maps to be produced. The linear relation between measured PAI and estimated PAI showed a higher coefficient of determination when the MIVIS data were used. The sensor high spectral resolution has moreover allowed to better describe the structural characteristics of the main plant typologies at Castelporziano Estate.

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Section: Results and Disussionsupporting

confidence: 83%

Section: Study Areamentioning

confidence: 99%

Multiscale integration of satellite, airborne and field data for Mediterranean vegetation studies in the natural area of the Castelporziano Estate (Rome)

Allegrini

Anselmi

Cavalli³

et al. 2009

Annals of Geophysics

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“…The plain forest covers about 3190 hectares and consists mainly of deciduous woods ( Quercus cerris L., Q. frainetto Ten., Q. robur L., Fraxinus ornus L. and Carpinus betulus L.), with soils that are mainly characterized by Würmian sand with pyroclastic material, referred to as the Vulcano Laziale activity (Manes et al ., 1997a;Dowgiallo & Bottini, 1998). The forest is of relatively mesophytic mixed broad-leaved oaks belonging to the Teucrio siculi-Quercion cerridis (Ubaldi, 1988) Scoppola et Filesi 1993 alliance, which is well represented in Italy.…”

Section: Circeo National Park (Cnp)mentioning

confidence: 99%

Estimation of Mediterranean forest transpiration and photosynthesis through the use of an ecosystem simulation model driven by remotely sensed data

Anselmi

Chiesi²,

Giannini

et al. 2004

Global Ecology and Biogeography

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Aim This paper investigates the use of an ecosystem simulation model, FOREST-BGC, to estimate the main ecophysiological processes (transpiration and photosynthesis) of Mediterranean coastal forest areas using remotely sensed data. Location Model testing was carried out at two protected forest sites in central Italy, one of which was covered by Turkey oak (Circeo National Park) and the other by holm-oak (Castelporziano Estate). Methods At both sites, transpiration and photosynthesis measurements were collected in the field during the growing seasons over a four-year period (1999 and 2001 for the Turkey oak; 1997, 1999 and 2000 for the holm-oak). Calibration of the model was obtained through combining information derived from ground measurements and remotely sensed data. In particular, remote sensing estimates of the Leaf Area Index derived from 1 x 1-km NOAA AVHRR Normalized Difference Vegetation Index data were used to improve the adaptation of the model to local forest conditions. Results The results indicated different strategies regarding water use efficiency, 'water spending' for Turkey oak and 'water saving' for holm-oak. The water use efficiency for the holm-oak was consistently higher than that for the Turkey oak and the relationship between VPD and WUE for the holm-oak showed a higher coefficient of determination (R-2 = 0.9238). Comparisons made between the field measurements of transpiration and photosynthesis and the model estimates showed that the integration procedure used for the deciduous oak forest was effective, but that there is a need for further studies regarding the sclerophyllous evergreen forest. In particular, for Turkey oak the simulations of transpiration yielded very good results, with errors lower than 0.3 mm H2O/day, while the simulation accuracy for photosynthesis was lower. In the case of holm-oak, transpiration was markedly overestimated for all days considered, while the simulations of photosynthesis were very accurate. Main conclusions Overall, the approach offers interesting operational possibilities for the monitoring of Mediterranean forest ecosystems, particularly in view of the availability of new satellite sensors with a higher spatial and temporal resolution, which have been launched in recent years

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Metropolitan area of Rome: an integrated vegetation study by remote sensing and field data

Giannini

Anselmi

Melini

et al.

IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion Over Urban Areas (Cat. No.01EX482)

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<title>Remote sensing analysis of Mediterranean ecosystem canopies and upscaling studies</title>

Cited by 4 publications

References 10 publications

Multiscale integration of satellite, airborne and field data for Mediterranean vegetation studies in the natural area of the Castelporziano Estate (Rome)

Multiscale integration of satellite, airborne and field data for Mediterranean vegetation studies in the natural area of the Castelporziano Estate (Rome)

Estimation of Mediterranean forest transpiration and photosynthesis through the use of an ecosystem simulation model driven by remotely sensed data

Metropolitan area of Rome: an integrated vegetation study by remote sensing and field data

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