Title :
Eco-phenological classification of Tuscany through NOAA-AVHRR data
Author :
Maselli, F. ; Petkov, L. ; Maracchi, G. ; Conese, C.
Author_Institution :
IATA, CNR, Firenze, Italy
Abstract :
The utility of NOAA NDVI data for the classification of wide areas has been demonstrated in several occasions. Few tests, however, have been performed in relatively small, complex regions such as Tuscany (Central Italy). This objective has been pursued in the present study using an integrated data set composed of LAC NDVI and thermal infrared images and ancillary data. A specific methodology has been developed to obtain an unsupervised classification of the region describing the main eco-phenological features. In particular, a procedure has been devised to identify the number of classes optimal for the study data set. The best results have been obtained with a classification in ten categories, which shows many interesting details consistent with previous knowledge and existing cartography
Keywords :
geophysical signal processing; geophysical techniques; image classification; infrared imaging; optical information processing; remote sensing; AVHRR; IR infrared visible; Italy; LAC NDVI; NDVI; NOAA; Tuscany; geophysical measurement technique; image classification; land surface; optical imaging; phenological classification; satellite remote sensing; terrain mapping; thermal infrared image; unsupervised classification; vegetation mapping; Area measurement; Infrared imaging; Land surface; Los Angeles Council; Performance evaluation; Productivity; Surface morphology; Surface topography; Testing; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.520271