Dear Colleagues,

The group on the Earth Observations Global Agricultural Monitoring (GEOGLAM) Flagship Initiative has made significant contributions to increase market transparency and support food security, based on Earth observations (EO), as well as various other data sources. At its inception, most satellite data were still required on a tasked basis and distributed on a fee-based model. However, as the European Copernicus program has recently launched a variety of resource, environmental, and meteorological satellites with full, free, and open data policies, we are now entering a world of data plenty where the data volume of EO data, accessible and suitable for agricultural monitoring, has expanded significantly. Consequently, processing and analyzing of high volume remote sensing data at the national/global scales has become a major challenge, both in terms of data storage and computing capacity, and GEOGLAM must address how to manage, process, and maximize the value of these significant EO investments.

The GEOGLAM 2018 Annual Meeting, focusing on topic of GEOGLAM Cloud Infrastructure and Knowledge Management, will bring together scientists and professionals from different countries to discuss how the cutting-edge technology of cloud infrastructure, big Earth data, and knowledge management can benefit and leverage GEOGLAM.

We are thus inviting authors and research teams to publish their recent work in the area of agricultural monitoring with cloud computing, and we are especially excited to receive contributions that report on good examples of methods that work. We invite papers on the following non-exhaustive list of topics:

• Cropland or crop type mapping at medium to high resolution.
• Approaches for automated crop field boundary detection
• Cloud based method or system in support of agricultural monitoring
• Ready to use data for agricultural monitoring
• Novel time series analytics, especially in the domains of cropland, crop type, crop calendar, crop successive, cropland use intensity, crop condition monitoring methods

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.