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Special feature –hyperspectral remote sensing
Journal of Spatial Science, 2006(2006). Special feature –hyperspectral remote sensing. Journal of Spatial Science: Vol. 51, No. 2, pp. 47-48.
Apan, A., Phinn, S. R.
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Hyperspectral Remote Sensing of Vegetation
Geography Compass, 2008Abstract Hyperspectral analysis of vegetation involves obtaining spectral reflectance measurements in hundreds of bands in the electromagnetic spectrum. These measurements may be obtained using hand‐held spectroradiometers or hyperspectral remote sensing instruments placed onboard aircraft or satellites.
Im, Jungho, Jensen, J.R.
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Hyperspectral remote sensing of wild oyster reefs
Estuarine, Coastal and Shelf Science, 2016The invasion of the wild oyster Crassostrea gigas along the western European Atlantic coast has generated changes in the structure and functioning of intertidal ecosystems. Considered as an invasive species and a trophic competitor of the cultivated conspecific oyster, it is now seen as a resource by oyster farmers following recurrent mass summer ...
Le Bris, Anthony +7 more
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Hyperspectral Imaging Remote Sensing
2016A practical and self-contained guide to the principles, techniques, models and tools of imaging spectroscopy. Bringing together material from essential physics and digital signal processing, it covers key topics such as sensor design and calibration, atmospheric inversion and model techniques, and processing and exploitation algorithms.
Dimitris G. Manolakis +2 more
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2017
Teknologi spektral pencitraan yang canggih dan teknik analisis hiperspektral untuk berbagai aplikasi adalah fitur utama buku ini. Buku ini akan menyajikan dalam satu volume solusi lengkap mulai dari konsep, fundamental, dan metode perolehan data hiperspektral hingga analisis dan aplikasi data dengan cara yang sangat koheren.
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Teknologi spektral pencitraan yang canggih dan teknik analisis hiperspektral untuk berbagai aplikasi adalah fitur utama buku ini. Buku ini akan menyajikan dalam satu volume solusi lengkap mulai dari konsep, fundamental, dan metode perolehan data hiperspektral hingga analisis dan aplikasi data dengan cara yang sangat koheren.
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Airborne Hyperspectral Remote Sensing
1999Abstract : Visible radiation is the only electromagnetic tool that directly probes the water column, and so is key to Naval systems for bathymetry, mine hunting, submarine detection, and submerged hazard detection. Hyperspectral imaging systems show great promise for meeting Naval imaging requirements in the littoral ocean.
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Analysis of Hyperspectral Remote Sensing Images
2009Hyperspectral remote sensing, or known as imaging spectroscopy, is a recently developed technique since the last two decades of the 20th century (Chang 2003). Imaging spectroscopy is a relatively fully-fledged experimental tool that has been successfully used in the laboratory by physicists and chemists for over 100 years for identification of ...
Liangpei Zhang, Yanfei Zhong
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Hyperspectral Remote Sensing of Vegetation
2016Introduction and Overview Advances in Hyperspectral Remote Sensing of Vegetation and Agricultural Croplands, Prasad S. Thenkabail, John G. Lyon, and Alfredo Huete Hyperspectral Sensor Systems Hyperspectral Sensor Characteristics: Airborne, Spaceborne, Hand-Held, and Truck-Mounted Integration of Hyperspectral Data with LIDAR Fred Ortenberg Hyperspectral
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Introduction of Hyperspectral Remote Sensing Applications
2015Currently, hyperspectral remote sensing has been fully applied to wheat, paddy, soybean, corn and other crops (Teng et al. 2009). As a simple, fast, low-cost and non-invasive spectral analysis technique, hyperspectral technique gets much concern in agricultural production applications, mainly used in crop growth monitoring and yield estimation ...
Liguo Wang, Chunhui Zhao
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Hyperspectral Remote Sensing of FireA Review
2018Fire is a widespread Earth system process with important carbon and climate feedbacks. Multispectral remote sensing has enabled mapping of global spatiotemporal patterns of fire and fire effects, which has significantly improved our understanding of interactions between ecosystems, climate, humans, and fire.
Sander Veraverbeke +9 more
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