Multi-Scale and Multi-Sensor Remote Sensing Data for Land Surface Characterization

Dear Colleagues,

Multi-scale and multi-sensor remote sensing data are essential tools for the characterization of land surfaces. Multi-sensor data involves the use of remote sensing data from different types of sensors, such as passive optical sensors, synthetic aperture radar, and thermal sensors. Each type of sensor provides unique information about land surface features, such as land use/cover, vegetation cover, soil moisture, crop conditions, and surface temperature. The integration of multi-scale and multi-sensor data can help overcome limitations associated with individual sensors or scales, such as the lack of spatial resolution or the inability to penetrate cloud cover. Moreover, it allows for the identification of unique features and patterns that might be missed with a single sensor or scale. By combining data from multiple scales and sensors, researchers can obtain a more complete understanding of land surface characteristics and processes, such as land use/cover patterns, ecosystem productivity, vegetation health, water availability, and soil conditions. This information can be used to support a range of applications, including land use planning, natural resource management, and disaster response.

This Special Issue aims to receive studies that cover the use of multi-scale and multi-sensor remote sensing data for land surface characterization. This Special Issue covers a wide range of topics that integrate multi-scale and multi-sensor remote sensing data for the characterization of different land surface properties. The studies may address land surface characteristics and processes such as land use/cover, ecosystem, water, soil, vegetation and crops, and natural hazards. The studies may include, but are not limited to, the following topics:

• Multi-sensor data fusion;
• Forest ecology;
• Land use/land cover;
• Land surface temperature;
• Crop yield estimation;
• Crop health monitoring;
• Vegetation biomass and productivity;
• Urban heat island;
• Soil moisture estimation;
• Flood mapping and monitoring;
• Natural hazards;
• Vegetation dynamics;
• Terrain mapping and analysis;
• Ecosystem processes and services;
• Surface water resources;
• Snow and ice cover.

Here we present some suggested themes and article types for submission in this Special Issue:

Themes:

• Methodologies and techniques for multi-scale and multi-sensor remote sensing data fusion in land surface characterization;
• Applications of multi-scale and multi-sensor remote sensing data in characterizing land cover and land use at different scales;
• Use of remote sensing data in estimating biophysical parameters such as vegetation biomass and productivity, soil moisture, and crop yield using multi-scale and multi-sensor remote sensing data;
• Analysis of land surface dynamics and changes using multi-sensor and multi-temporal remote sensing data;
• Remote sensing applications (using multi-scale and multi-sensor remote sensing data) in monitoring and assessing urban environments, natural resources, and ecological systems.

Article Types:

• Original research articles reporting new findings and developments in multi-scale and multi-sensor remote sensing data for land surface characterization;
• Reviews and systematic reviews providing critical evaluation of current knowledge and research gaps in this field;
• Perspectives, opinions, and commentaries on current issues and trends in multi-scale and multi-sensor remote sensing data for land surface characterization;
• Technical notes and short communications describing innovative methodologies and techniques, and presenting preliminary results or proof of concept studies;
• Data papers and descriptions of datasets, algorithms, software, and platforms relevant to multi-scale and multi-sensor remote sensing data for land surface characterization.

These are just a few suggestions for themes and article types. Ultimately, the most appropriate theme and article type will depend on the research question, methodology, results, and, generally, on its novelty.

Dr. Biadgilgn Demissie
Dr. Ram L. Ray
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.

• multi-sensor/multi-scale data
• land surface characterization
• land use/cover classification
• multi-sensor data fusion
• optical and SAR/LiDAR data
• vegetation dynamics
• crop condition
• surface temperature
• soil moisture
• machine learning