Application of Remote Sensing in Agroforestry II

Dear Colleagues,

Technological development, integration, and adoption in both agriculture and forestry management practices continue to grow. The need to increase yield and quality and introduce sustainable practices while simultaneously reducing disease incidence and minimizing chemical inputs requires careful and detailed management. Knowledge with the highest detail level possible about context, culture, and environmental parameters that can influence both agriculture and forests’ high variabilities is needed to improve management practices.

Remote sensing enables the acquisition of diverse data with variable levels of detail, both in agriculture and in forestry. Indeed, the use of satellites, manned aircrafts, and unmanned aerial vehicles, equipped with different types of sensors (e.g., RGB, NIR, LiDAR, multi- and hyperspectral and thermal) has been gaining special attention in their different applications in agriculture and forests.

Moreover, the need for systems that are able to deal with the massive amounts of data being generated by remote sensing is also emerging. They must be capable of aggregating and extracting useful and intelligible information to stakeholders, preferably in a (semi)automatic way, through the application of deep learning.

This forthcoming 2nd Volume of the Special Issue on “Application of Remote Sensing in Agroforestry” (https://www.mdpi.com/journal/remotesensing/special_issues/remote_sensing_agroforestry) aims to collect new developments, methodologies, algorithms, best practices, and applications in remote sensing. We welcome submissions that provide the community with the most recent advancements on all aspects of remote sensing.

Dr. Emanuel Peres
Dr. Joaquim João Sousa
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.