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Earth Observation Data

A section of Remote Sensing (ISSN 2072-4292).

Section Information

This Special Section, entitled Earth Observation Data, is dedicated to publishing articles that advance the field through the creation and sharing of new datasets. These include, but are not limited to: (1) original research articles on the development, processing, and analysis of a new Earth Observation dataset, (2) data descriptors of valuable or benchmark original datasets that can be used to classify, validate, or calibrate existing products, and (3) methodological papers focusing on innovative techniques for collecting, processing, analyzing, or managing Earth Observation Data. The Special Section also includes (4) review articles that synthesize and evaluate existing datasets or introduce new procedures to enhance their usability. The main aim of Earth Observation Data is to facilitate the sharing and reuse of high-quality original datasets, thereby contributing to the advancement of the Earth Observation and Remote Sensing cognition revolution.

Notably, only articles that produce and share new datasets will be considered for publication in this section. All submissions must comply with the requirement that the Data Availability Statement explicitly states the public accessibility of the generated dataset(s). Authors are required to deposit their data in a trusted repository prior to submission and provide the persistent access link (e.g., DOI, URL) in their manuscript. Please refer to the suggested Data Availability Statements in section “MDPI Research Data Policies (https://www.mdpi.com/journal/remotesensing/instructions#suppmaterials)” to ensure compliance with the DAS requirements outlined above.

Earth Observation Data solicits research articles, data descriptors, and reviews with the following requirements.

Articles: These are original research manuscripts on Earth Observation or Remote Sensing techniques that clearly generate new datasets and facilitate data sharing and reuse to support reproducible research, which should comprise at least 18 pages with results and discussion separately in two sections.

Data Descriptors: These papers are descriptions of original research, Earth Observation Data, or combined datasets derived from original datasets generated in the study. Described datasets must be publicly deposited prior to publication under an open license, thus allowing others to reuse the dataset; this requirement is strictly enforced, and the Data Availability Statement (DAS) must clearly confirm the public accessibility of the original dataset. Small datasets might also be published as supplementary material together with the data descriptor. The link to the publicly hosted version of the dataset must be given in the paper. Data descriptors therefore provide easy citability, traceability, and accountability of datasets used in scientific research. Research articles published elsewhere based on the data should link back to the data descriptors via a standard reference and DOI number. Data descriptors are published under a CC BY license, thus allowing the reuse of the descriptions in other research papers without copyright infringement.

Reviews: These articles summarize and evaluate the relative merits of original Earth Observation datasets (generated by the authors or other researchers), introduce new procedures to enhance the usability of previously published original Earth Observation datasets, and re-combine existing original datasets to generate new value. Reviews should be at least 20 pages.

We encourage submissions that leverage modern analytical paradigms, such as Artificial Intelligence (AI), machine/deep learning, and cloud computing for processing and analyzing Earth Observation Data. Studies addressing critical applications like geohazards, climate change, environmental monitoring, and sustainable resource management are particularly welcome.