visita il sito della Società Italiana di Ecologia sito a cura di Paco Melià e Renato Casagrandi
www.unito.it
www.polito.it
home page del sito
patrocinio
il congresso
presentazione
sede
programma
atti
premi
foto
credits
precedente: S6.5 livello superiore: S6 seguente: S6.7


S6.6 - Remote-sensing survey for the assessment of land use diversity - even remote from reality?

Rocchini Duccio (1)*, Maccherini Simona (1), Chiarucci Alessandro (1), Marignani Michela (1), Boddi Manuela (1), Pellizzi Bernardo (1), Cirillo Ilaria (1), Baffetta Federica (2), Ferretti Marco (1)

(1) Dipart. di Scienze Ambientali 'G. Sarfatti', Università degli Studi di Siena, Via Mattioli 4, 53100 Siena, Italia
(2) Dipart. di Metodi Quantitativi, Università degli Studi di Siena, Piazza S. Francesco, 53100 Siena, Italia
* rocchini@unisi.it

Aerial-based survey represents one of the most powerful tools for the assessment and monitoring of land use diversity. In particular, multi-temporal analysis of air-borne imagery is one of the most used approaches to directly estimate land use changes. However, several problems may arise when dealing with aerial photo interpretation. In particular, thematic classification is structurally, functionally and operationally dependent on the scale at which the interpretation is carried out. Ecological processes occur at defined scales: while their perception depends upon a proper matching with the adopted approach, it is also important that classification attributes fit into some agreed framework, like e.g. the CORINE system, which in turn requires minimum dimensional attributes to be satisfied. In this study, 981 sampling units were selected according to an area-frame stratified random sampling with a predefined cell dimension (e.g. at a given scale, 50x50 and 10x10 m) over a 215 km2 area in countryside Tuscany. The landscape is dominated by arable lands and characterised by 'calanchi' and ' biancane'. The survey was carried out to test the feasibility of land-use diversity assessment at landscape scale and its change over the time, by means of statistical linear estimators.


consulta l' Indice analitico (alfabetico per autore) sfoglia l' Indice delle sessioni del Congresso a cura di Comoglio, Comino, e Bona