Crop Type Classification Using Vegetation Indices of RapidEye Imagery
نویسندگان
چکیده
منابع مشابه
Crop Type Classification Using Vegetation Indices of Rapideye Imagery
Cutting-edge remote sensing technology has a significant role for managing the natural resources as well as the any other applications about the earth observation. Crop monitoring is the one of these applications since remote sensing provides us accurate, up-to-date and cost-effective information about the crop types at the different temporal and spatial resolution. In this study, the potential...
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The accurate estimation of canopy biophysical variables at sufficiently high spatial and temporal resolutions is a key requirement for operational applications in the agricultural sector. In this study, recently available multispectral RapidEye sensor data were tested for their operational suitability to estimate canopy biophysical variables in the Italian Campania region. For this purpose, two...
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Vegetation indices (VI), such as greenness (GVI), perpendicular (PVI), transformed soil adjusted (TSAVI), and normalized difference (NDVI), measure the photosynthetic size of plant canopies and portend yields. A set of equations, called spectral components analysis (SCA), that interrelates VI or cumulative seasonal VI (Y'.VI), leaf area index (L), fractional photosynthetically active radiation ...
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The task of crop type classification with multitemporal imagery is nowadays often done applying classifiers that are originally developed for single images like support vector machines (SVM). These approaches do not model temporal dependencies in an explicit way. Existing approaches that make use of temporal dependencies are in most cases quite simple and based on rules. Approaches that integra...
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Forest’s ecosystem is one of the most important carbon sink of the terrestrial ecosystem. Remote sensing technology provides robust techniques to estimate biomass and solve challenges in forest resource assessment. The present study explored the potential of Sentinel-2 bands to estimate biomass and comparatively analyzed of red-edge band based and broadband derived vegetation indices. Broadband...
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ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2014
ISSN: 2194-9034
DOI: 10.5194/isprsarchives-xl-7-195-2014