文章基本信息

标题：Analysis and assessment of mountain pastures by integration of multispectral and ancillary data
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作者：Giovanni Argenti ; Lorenzo Bottai ; Marta Chiesi 等
期刊名称：Italian Journal of Remote Sensing
印刷版ISSN：1129-8596
电子版ISSN：2039-7879
出版年度：2011
卷号：43
页码：45-57
DOI：10.5721/ItJRS20114314
出版社：Associazione Italiana di Telerilevamento (AIT)
摘要：The paper shows some operational techniques for the characterisation and mapping of pastoral resources in mountain areas. The utility of multispectral images was evaluated to produce thematic cartography of the studied pastures and to determine their pastoral value, a useful parameter for management purposes. Data collected by the multispectral ASTER sensor, with a 15 m spatial resolution in the VISNIR, 30 m in the SWIR, and 90 m in TIR, and the MODIS sensor, with a daily temporal step and a 250 m spatial resolution, were used. The images are classified using a maximum likelihood algorithm, while multivariate locally calibrated regression is applied to extend the pastoral value over the whole area. Results show a low capability of the satellite images in discriminating the different pasture vegetation types, whereas the assessment of pastoral value produces more promising achievements (r = 0.647;, RMSE = 6.99).
关键词：Remote sensing; pastoral value; vegetation; GIS; multispectral images.