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Remote Sensing in Agriculture and Vegetation

A section of Remote Sensing (ISSN 2072-4292).

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For a global to local monitoring of agriculture and/or vegetation conditions, a wide range of passive and active sensors are deployed on many different satellites and other platforms. The delivered data volumes are usually huge and cover various parts of the electromagnetic spectrum. The information contained in those datasets can only be retrieved to its full extent using advanced image and signal processing techniques. In this section we therefore cover all agriculture/vegetation related research such as crop type identification, land cover and land use mapping, change detection, identification of pest and diseases, crop stress and droughts, yield forecasts and phenotyping to name only a few applications. From a methodological point of view, we encourage the publication of both empirical (regression and classification) approaches and physical based methods such as the inversion of radiative transfer models for the retrieval of vegetation bio-physical variables.

We invite authors to submit their articles to Remote Sensing to further improve and consolidate current knowledge in the field of vegetation/agriculture related Earth Observation. Manuscripts addressing theories and applications are equally welcome. We urge authors to take utmost care not only in preparing the manuscript, but equally in providing well designed graphs and maps.

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