About to ERSCC 2026
ERSCC 2026 will be held in Changchun. Changchun, as an important ecological research base in Northeast China, has a profound accumulation in the fields of agricultural ecology and remote sensing monitoring. The conference focuses on ecosystem function assessment, innovation in remote sensing detection technology, and climate change response strategies, covering core directions such as vegetation remote sensing, carbon cycle monitoring, and ecological parameter inversion. The attending experts will delve into cutting-edge topics such as long-term ecological remote sensing, biodiversity remote sensing assessment, climate vulnerability analysis, and ecological restoration effectiveness evaluation. The conference aims to establish a comprehensive exchange platform for ecology, remote sensing science, and climate science, providing scientific support for regional ecological security and global climate change response.
IMPORTANT DATES
2026-09-01-Submission Deadline
2026-09-09-Registration Deadline
2026-09-16-Conference Date
About a week after the submission-Notification Date
RECORD
All full paper submissions to the ERSCC 2026 could be written in English and will be sent to at least two reviewers and evaluated based on originality, technical or research content or depth, correctness, relevance to conference, contributions, and readability. All accepted papers of ERSCC 2026 will be published in the conference proceedings, which will be submitted to EI Compendex, Scopus for indexing.
Paper template
Please refer to the paper template for layout
Click to download
Register
All attendees must register in advance to attend the meeting
Consulting service
Submit
Please submit the full text/abstract of the paper to us through the electronic submission system
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Call For Papers
Direction 1: Ecology ecology Ecosystem Services Assessment Biodiversity monitoring Ecological network construction Landscape pattern analysis Ecosystem restoration Ecological compensation mechanism Ecological carrying capacity evaluation Ecological security pattern Ecological functional zoning Direction 2: Remote sensing detection Remote sensing detection Hyperspectral remote sensing applications Lidar remote sensing synthetic aperture radar Thermal infrared remote sensing Unmanned aerial vehicle remote sensing monitoring Multi source data fusion Remote sensing image classification Change detection technology Remote sensing quantitative inversion
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Indexing Service
Technical Sponsor
Call for Reviewers
As a platform for global academic communication, the quality of conference publication has always an aspect attracting much of our attention. To ensure quality of our publication and to better serve the peers in academic circle, we now call for reviewers among professionals and experts of the world. Professionals and experts who hold PhD (doctoral) degree in the conference related areas are encouraged to join in us and together, we will work hard to become a world-class academic conference. Please send us your CV by email (erscc@confsflow.com) if you are interested in it.
SCI Journal
Contributors are encouraged to submit papers / abstracts to the conference. The organizing committee will select high-quality papers and recommend them to SCI/SSCI journals. For specific matters, please contact the person in charge of the conferrence.
Submission Guidelines
Delegates are encouraged to submit their papers/abstracts to the conference. Good quality papers will be selected by the organizing committee and Prof. Soteris Kalogirou, the editor in chief. After it, the authors will be invited to extent their papers/abstracts and submit them to erscc@confsflow.com. The normal size of research papers is 4,000-6,000 words excluding abstract and references.
Submission Portal
If you have any questions or need any help about the conference, please feel free to contact our conference experts on the right:
杨老师
TEL:185 8288 1690
QQ:3965998409
E-mail:erscc@confsflow.com
About Plagiarism Check
Crosscheck Powered by iThenticate will be used for plagiarism check. The amount of duplication from previously published content should be less than 20%; If the amount of duplication is 20% - 35%, modification maybe required; if the amount of duplication exceeds 35%, the article will be rejected. Please note that there will be no refund for no-shows.