Assessment of Spatial and Temporal Patterns in Forest and Grassland Ecosystems Based on Spectral Metrics
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".
Deadline for manuscript submissions: 15 September 2024 | Viewed by 59
Special Issue Editors
Interests: time series analysis; remote sensing; GIS; vegetation dynamics; land use change; machine learning
Interests: time series analysis; remote sensing; meteorology; forestry; crop monitoring
Interests: remote sensing; time series analysis; GIS; vegetation dynamics; plant diversity; forest fires
Special Issue Information
Dear Colleagues,
Forests and grasslands are two widely distributed terrestrial ecosystems in the world occupying approximately 30% and 24% of Earth’s land surface, respectively, playing a key role in regulating climate and maintaining biodiversity. The evaluation of their spatial and temporal patterns is crucial for understanding ecological processes and identifying changes driven by climate change effects or human activities.
Remote sensing techniques are an effective tool for monitoring terrestrial ecosystems. The spectral information acquired by the sensors can be summarized in spectral metrics providing highly useful information to evaluate the dynamics of forests and grasslands at different spatial and temporal scales. The results can be helpful for decision making in natural resource management, biodiversity conservation, climate change mitigation and adaptation, and land-use planning.
This Special Issue intends to disseminate advanced research on forest and grassland monitoring based on spectral metrics. Articles may address, but are not limited to, the following topics:
- Development of new spectral indices and/or spectral metrics to monitor forests and grasslands.
- Mapping forest and grassland species diversity.
- Identifying changes and trends in forest and grasslands driven by climate or human activities.
- Assessment of biomass and phenology.
- Modeling vegetation traits.
Dr. Laura Recuero
Dr. Víctor Cicuéndez
Dr. Margarita Huesca
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. 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 and multispectral sensors (satellite, aerial and UAV)
- vegetation biophysical parameters
- forest and grassland functioning
- changes and trends
- modelling traits
- machine learning algorithms
