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
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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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Published Papers
Remote Sens. - ISSN 2072-4292