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Hyperspectral Remote Sensing of Agriculture and Vegetation

This special issue belongs to the section “Remote Sensing in Agriculture and Vegetation“.

Special Issue Information

Dear Colleagues,

Hyperspectral remote sensing is providing even more research studies and practical applications for agriculture (soils and crops) and vegetation mapping and monitoring, from regional to within-field scales.

In this Special Issue, we welcome papers from the international research community actively involved in research activities on hyperspectral RS (optical domain) for crop and vegetation. The Special Issue is open to all researchers working in these fields. The choice of papers for publication will rely on quality, soundness, and rigour of research. Specific topics include, but are not limited to, the following:

  • Hyperspectral studies of agricultural soils, crop, and other vegetation types from ground, drone, air- and space-borne platforms (VIS-NIR, SWIR, and TIR).
  • Field, and laboratory hyperspectral measurements for monitoring agriculture and vegetation
  • Retrieval of plant traits at leaf and canopy level from hyperspectral measurements
  • New methods for hyperspectral data processing and atmospheric compensation techniques
  • Hyperspectral sensors calibration and products validation for agriculture and vegetation monitoring
  • Statistical and computational methods for hyperspectral data analysis in agriculture and vegetation applications
  • Integration or combined use of hyperspectral data from the optical domain with other EO technologies
  • Modelling of soils, crops, and vegetation using hyperspectral data
  • Next generation hyperspectral technologies and missions, platforms, and sensors for agriculture and vegetation

Dr. Simone Pascucci
Dr. Stefano Pignatti
Dr. Raffaele Casa
Dr. Roshanak Darvishzadeh
Prof. Dr. Wenjiang Huang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Hyperspectral remote sensing for soil and crops in agriculture
  • Hyperspectral imaging for vegetation
  • Plant traits
  • High resolution spectroscopy for agricultural soils and vegetation
  • VIS-NIR, SWIR, and TIR
  • Hyperspectral data bases for agricultural soils and vegetation
  • Hyperspectral data as input for modeling soil, crop, and vegetation
  • Product validation
  • New hyperspectral technologies
  • Future hyperspectral missions

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Remote Sens. - ISSN 2072-4292