Forthcoming

Reconstructing the Late Cenozoic Retreat of the Proto-Paratethys Sea in the SW Tajik Basin Using Integrated ASTER Mapping and Field Validation

Author(s): Ibodullo Qaraev , Masoud Jafari Shalamzari, Malihe Qaderi

DOI: https://doi.org/10.63221/eies.v1i04.189-207
Disturbance Study and Analysis of Vegetation Cover Dynamics in Jiaozuo Mining Area Based on Remote Sensing Monitoring

Author(s): Kunpeng Li, Jinping Liu, Mingzhe Li, Wenzhe Wang, Jinlong Yang

DOI: https://doi.org/10.63221/eies.v1i04.208-225

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Journal Information

Editor-in-Chief: Qingfeng Hu, North China University of Water Resources and Electric Power, China
Frequency: Quarterly
Submission to final decision: 20-30days
Acceptance to publication: 3 days
eISSN: 3079-6164
pISSN: 3079-6156
◎ 2025 Evidence Publisher (Evidence in Science Publishing House)

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Journal Announcement | Evidence in Earth Science Indexed by Multiple Databases

November 7, 2025

Evidence in Earth Science (EIES) has been officially indexed in the VIP Database and several international platforms including Google Scholar, Semantic Scholar, Scilit, Crossref, ScienceOpen, and ResearchGate. This achievement marks a significant milestone in the journal’s academic development and global visibility. Under the leadership of Editor-in-Chief Prof. Qingfeng Hu from North China University of Water Resources and Electric Power, EIES continues to advance interdisciplinary research in Earth and environmental sciences with high-quality, open-access publications.

Evidence in Earth Science — Volume 1, Issue 3 Is Now Published | Call for Reading

November 7, 2025

The latest issue of Evidence in Earth Science (Vol. 1, Issue 3) features two significant studies addressing flood simulation and forest ecosystem processes. Xie et al. present a detailed hydrological analysis of the “7·29” flood in the Haihe River Basin, offering insights for disaster prevention and water management. Yan et al. provide a bibliometric review of forest evapotranspiration estimation, highlighting the evolution from field observation to AI-driven modeling. Together, these papers demonstrate the journal’s commitment to advancing interdisciplinary research in hydrology, ecology, and climate change.