Assessing Spatiotemporal Changes in Vegetation and Soil Properties Using Remote Sensing and Digital Soil Mapping (DSM)

Dear Colleagues,

The integration of remote sensing (RS) with spatiotemporal assessments of soil and plant properties is at the forefront of scientific advancement, with the hope being to decipher the intricacies of soil–vegetation interactions and address pressing challenges related to soil ecosystem health.

RS is instrumental in our pursuit, offering an invaluable tool for investigating the spatiotemporal dimensions of soil–vegetation dynamics. Using state-of-the-art RS technologies, we aspire to develop innovative and precise digital soil mapping (DSM) systems. These well-established systems are poised to make significant progress given recent technological advancements. Notably, we are looking for research that harnesses multiple RS platforms, including ground, airborne, and satellite imagery, to detect quantitative and qualitative indicators that are pivotal in soil and vegetation properties.

Our call for contributions strongly emphasizes integrating spatiotemporal considerations with novel RS methodologies, specifically focusing on the spectral and morphological aspects of soil–vegetation interactions. Paramount to our objectives is applying machine learning (ML), data mining protocols, classification, spatiotemporal modeling, and prediction in DSM.

In alignment with our mission, we are actively seeking articles covering a wide range of topics, including but not limited to:

• Advancing the frontiers of DSM, focusing on high-resolution mapping of soil properties with precision and accuracy;
• Development of comprehensive soil information systems that integrate multi-source RS data for improved soil characterization;
• Spatiotemporal assessment and enhancement of soil health, fertility, and resilience through DSM techniques;
• Studies that explore the intricate web of interactions within soil ecosystems and their responses to environmental fluctuations, guided by digital mapping insights;
• Research showcasing the practical application of RS, DSM, and advanced analytics in optimizing agronomic practices, crop management, and land-use planning;
• Contributions elucidating how soil–vegetation systems influence ecological resilience, biodiversity conservation, and ecosystem services;
• Advancements in RS methodologies, including hyperspectral imaging, LiDAR, and emerging techniques that enhance digital soil mapping precision.

By amalgamating the formidable powers of soil science, digital mapping, agronomy, and remote sensing, we aspire to deliver solutions for sustainable agriculture, precise soil management, and informed environmental stewardship. Your pioneering contributions hold the potential to unlock new horizons in these critical fields and bring us closer to the goal of precise and holistic soil digital mapping.

We anticipate your research submissions and encourage you to share your valuable insights and discoveries with our scholarly community.

Dr. Eli Argaman
Guest Editor

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.

• soil–plant interactions
• spatiotemporal modeling
• soil properties
• vegetation dynamics
• soil health
• soil ecosystems
• UAV