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Monitoring, Early Warning, and Scientific Management of Vegetation Pests and Diseases
This special issue belongs to the section “Remote Sensing in Agriculture and Vegetation“.
Special Issue Information
Dear Colleagues,
Climate change has caused a rapid increase in frequencies and severities of vegetation (crop, forest, grass, etc.) diseases and insect pests. It is highly necessary to monitor, predict the incidence and prevalence to support scientific management and biodiversity conservation, especially at a large scale (global, regional, national, local etc.). Remote sensing technology has greatly facilitated the diagnosis and treatment of vegetation diseases and insect pests to guarantee food security and stable ecological system.
In this Special Issue, we welcome papers from the international research community actively involved in research activities on vegetation diseases and insect pests monitoring, prediction, and scientific management. 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 the research.
Dr. Jinling Zhao
Prof. Dr. Wenjiang Huang
Prof. Dr. Jingcheng Zhang
Dr. Linsheng Huang
Dr. Yingying Dong
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
- analysis and diagnosis of diseases and insect pests from ground, drone, air- and space-borne platforms
- early-warning method through hyperspectral and thermal remote sensing
- field and laboratory hyperspectral measurements for pathogenic mechanism
- retrieval of severities of diseases and insect pests from multi-source remote sensing data
- identification of diseases and insect pests at various spatial scales
- deep learning methods for classifying different diseases and insect pests
- mapping the tempo-spatial distribution of diseases and insect pests
- relationship between the incidence of diseases and insect pests and environment
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