Special Issue "Remote Sensing of Land Degradation in Drylands"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (28 February 2015)
Prof. Arnon Karnieli
The Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boker Campus 84990, Israel
Fax: +972 8 6596 805
Interests: remote sensing, geographic information systems (gis), field spectroscopy, and image processing applications for desertification and climate change processes
Climatically speaking, drylands are areas where water losses (e.g., evapotranspiration) exceed water gains (e.g., rainfall). Others might be chosen, but the most commonly used aridity index, proposed by UNEP, is defined by the ratio between mean annual precipitation and mean annual potential evapotranspiration. Accordingly, UNEP defines drylands as areas with an aridity index of less than 0.65. Drylands are subdivided into three zones: arid, semi-arid, and sub-humid, as the hyper-arid zone is excluded from this definition by UNCCD. Globally, drylands cover about 40% of the Earth’s land surface.
Remote sensing is a useful and powerful means for monitoring and exploring land surface changes and degradation and for producing dynamic information since satellites have the ability to cover vast and inaccessible areas and provides long-term repetitive data. Moreover, drylands have, most of the time, a relatively cloud-free sky and consequently the area is suitable for observation by all optical systems.
The forthcoming Special Issue on Remote Sensing of Land Degradation in Drylands calls for papers that present original research on land (soil and vegetation) degradation and desertification in drylands (and related subjects) using spectroscopy and remote sensing tools and techniques. Subjects include but are not limited to, the below-listed topics. Studies can cover various spatial scales from detailed-local (“hotspots”) to regional, and at different temporal time steps (e.g., single event observation, multi-temporal analysis, or time-series modeling). Papers concerning ground-level spectroscopy and all types of spaceborne systems are of interest for this issue.
Prof. Arnon Karnieli
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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a 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 monthly journal published by MDPI.
- vegetation degradation
- land-use land-cover change in drylands
- drought monitoring
- salinization and waterlogging
- soil compaction and soil crusting
- wind erosion, aeolian processes, and dune encouragement
- dust and sand storms
- pest and diseases
- water resources
- water erosion
- grazing and watering points
- agriculture expansion and shift cultivation
- human-induced desertification