Special Issue “Hyperspectral Remote Sensing of Agriculture and Vegetation”
نویسندگان
چکیده
منابع مشابه
Hyperspectral remote sensing of agriculture
Remote sensing is being increasingly used in different agricultural applications. Hyperspectral remote sensing in large continuous narrow wavebands provides significant advancement in understanding the subtle changes in biochemical and biophysical attributes of the crop plants and their different physiological processes, which otherwise are indistinct in multispectral remote sensing. This artic...
متن کاملForeword to the Special Issue on Hyperspectral Remote Sensing: Theory, Methods, and Applications
Hyperspectral imaging has become a very active field in both theoretical and application-related research in remote sensing since its emergence in the 1980s [1], [2]. The first airborne hyperspectral sensor, called Airborne Imaging Spectrometer (AIS), was designed in the early 1980s [3]; an advanced airborne sensor, i.e., Airborne Visible/Infrared Imaging Spectrometer (AVIRIS), began to provide...
متن کاملForeword special issue on analysis of multitemporal remote sensing images
THE development of effective methodologies for the analysis of multitemporal data is one of the most important and challenging issues that the remote sensing community should face in the next years. The importance and timeliness of this issue are directly related to the ever-increasing quantity of multitemporal data provided by the numerous remote sensing satellites that orbit around our planet...
متن کاملHyperspectral Remote Sensing
The term hyperspectral is used to refer to spectra consisting of large number of narrow, contiguously spaced spectral bands. In the field of remote sensing, the term hyperspectral is also used interchangeably with other terms such as spectroscopy, spectrometry, spectroradiometry and rarely ultraspectral. Spectroscopy is a branch of physics concerned with the production, transmission, measuremen...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2020
ISSN: 2072-4292
DOI: 10.3390/rs12213665