Environmental Science and Pollution Research - Call for Papers: Special Issue on Integrating Geospatial Intelligence and Machine Learning for Smart Environmental Monitoring and Management (IGIML23)
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Open for submission: 1 December, 2023
Updated deadline for submissions: 30 April, 2024
All submitted papers will be subject to the same rigorous peer-review process as regular submissions to the journal. Upon publication, each author team will be provided with a free pdf file of the printed article. We ask that you submit your manuscript directly to the ESPR editorial office by online submission at https://www.editorialmanager.com/espr/default.aspx.
All manuscripts should be prepared according to the journal guidelines (https://www.springer.com/journal/11356/submission-guidelines).
The special issue on “Integrating Geospatial Intelligence and Machine Learning for Smart Environmental Monitoring and Management” has a multifaceted aim that encompasses advancing research, driving innovation, informing policy, and ultimately contributing to the sustainable management of our environment through the use of advanced technologies and data-driven approaches. By uniting experts from diverse fields, it seeks to push the boundaries of knowledge in environmental science, inspire novel solutions to environmental challenges, provide evidence-based guidance for decision-makers, and promote a collective commitment to the responsible stewardship of our planet.
Guest Editors
Dr. Jayanta Das
Rampurhat College, Rampurhat, Birbhum, India
Dr. ATM Sakiur Rahaman
University of California, Riverside, CA, USA