Remote Sensing of Landscape Ecology Using Innovative Data and Approaches

Dear Colleagues,

For over half a century, remote sensing has served as an important tool and primary data source for monitoring global landscape change and understanding complex ecosystems. Over the past two decades, high-spatiotemporal-resolution satellite imagery and advanced image processing techniques have created new opportunities for ecosystem research. In particular, the integration of machine learning with image processing and analysis has significantly enhanced and expanded our understanding of landscape ecology.

This Special Issue focuses on the application of high-spatiotemporal-resolution imagery, long-term time series data, and machine learning for monitoring and detecting landscape ecological changes. We would like to invite you to integrate geospatial big data with GIS and machine learning algorithms to further explore the dynamics of diverse terrestrial landscapes under current climate variations. Topics of interest include, but are not limited to, land cover and land use change, vegetation dynamics and changes in urban systems, and the biophysical regulations of carbon, water, and energy fluxes at multiple scales.

We strongly encourage submissions exploring climate–vegetation interactions and coupled natural and human systems. Furthermore, we particularly welcome research that combines geospatial big data with innovative spatial analytics to discover new ways of addressing the critical challenges driven by global environmental change.

We look forward to receiving your contributions.

Dr. Zihan Lin
Dr. Ranjeet John
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-anonymized 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.