Remote Sensing-Based Monitoring of Vegetation Phenology in a Changing Environment
A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Ecology".
Deadline for manuscript submissions: 30 December 2024 | Viewed by 734
Special Issue Editors
Interests: remote sensing; ecology; land use/land cover; ecosystem; vegetation; phenology
Interests: land use/land cover; ecosystem restoration projects; remote sensing; coastal zone; vegetation
Special Issue Information
Dear Colleagues,
In the context of climate and environmental change, the study of vegetation phenology in ecosystems has assumed increasing significance, particularly in the pursuit of the 2030 Agenda for Sustainable Development Goals (SDGs). Currently, the monitoring of vegetation phenology in a changing environment relies heavily on field recordings and limited remote sensing data. This reliance leads to inefficiencies in data analysis, a lack of coherence in modeling, diminished reliability, and unsustainability in diverse environmental conditions.
Emerging as a key information technology science in recent years, remote sensing (RS) big data offers a promising avenue for addressing these challenges. Leveraging database platforms, information services, and reanalysis modeling, RS big data enables more scientific and quantitative approaches to vegetation phenology analysis, spanning from landscape to crown levels. This Special Issue seeks to bridge the gap between remote sensing big data and field observations/recording. We intend to employ cutting-edge technologies such as satellite imagery, airborne remote sensing, and big data analytics to construct robust vegetation phenology analysis models. Ultimately, our goal is to furnish decision-making tools for scientists engaged in the study of vegetation ecosystems.
We invite researchers to contribute their original research papers, technical reports, or review articles to this Special Issue, with a particular emphasis on the applications and prospects of remote sensing in the field of vegetation phenology, such as:
- Vegetation phenology detection and modeling;
- Remote sensing / big data for vegetation phenology monitor;
- Vegetation phenology change;
- Vegetation cover and green spaces change;
- Response of vegetation phenology to climate change and human activity;
- Effect of vegetation phenology on ecosystem environment.
We look forward to receiving your original research articles and reviews.
Dr. Jing Xie
Dr. Zhi Ding
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 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 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. Plants 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.
