Remote Sensing in Earth Systems Sciences

Aims & Scope

Remote Sensing in Earth Systems Sciences is a quarterly scientific journal that publishes articles featuring the use of remote sensing data to study Earth processes.

The journal’s interdisciplinary approach aims to include all aspects of the Earth Sciences including Atmospheric Sciences, Biogeosciences, Climate/Climate Change, Hydrology, the Cryosphere and Oceans, while placing great emphasis on articles that exist on the border of, or even transcend subfields.

In addition, the journal’s scope encompasses everything from drone research to the latest governmental satellite missions.

Articles that demonstrate uses and techniques for managing the “big data” generated are welcome.

To remain on the cutting edge of the field, Remote Sensing in Earth Systems Sciences prefers medium-length articles that can be written and reviewed in a timely manner but retain a high level of detail and depth, although longer articles, as well as letters, are also considered.

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.418

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	16

Journal Rank

Year	Value
2024	13382

Journal Citation Indicator

Year	Value
2024	127

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Earth and Planetary Sciences and Social Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Application of the GIS-Based Probabilistic Models for Mapping the Flood Susceptibility in Bansloi Sub-basin of Ganga-Bhagirathi River and Their Comparison

  Citation: 111

  Authors: Gopal Chandra, Sunil, Tusar Kanti

• Satellite-Driven Land Surface Temperature (LST) Using Landsat 5, 7 (TM/ETM+ SLC) and Landsat 8 (OLI/TIRS) Data and Its Association with Built-Up and Green Cover Over Urban Delhi, India

  Citation: 72

  Authors: Babita, Mohammad, Javed, Mohd Firoz, Atiqur

• The Performance of Random Forest Classification Based on Phenological Metrics Derived from Sentinel-2 and Landsat 8 to Map Crop Cover in an Irrigated Semi-arid Region

  Citation: 72

  Authors: Abdelaziz, Abdelghani, Youssef, Rachid, Hayat, Loubna, Bernard, Tarik

• Forecasting, Detecting, and Tracking Volcanic Eruptions from Space

  Citation: 50

  Authors: Michael P., Taryn, Robert, Michael J.

• A Review of Satellite-Derived Soil Moisture and Its Usage for Flood Estimation

  Citation: 43

  Authors: Seokhyeon, Runze, Hung, Ashish

• Mapping Urbanization Trends in a Forested Landscape Using Google Earth Engine

  Citation: 40

  Authors: Hamdi A., Christopher J., Elena A., Jeffrey S.

• Influence of Super Cyclone “Amphan” in the Indian Subcontinent amid COVID-19 Pandemic

  Citation: 32

  Authors: Shubham, Preet, Amit

• Integrating GIS-Remote Sensing: A Comprehensive Approach to Predict Oceanographic Health and Coastal Dynamics

  Citation: 32

  Authors: R., Kazuaki, M. Amina

• A Comparison of the Accuracy of Multi-satellite Precipitation Estimation and Ground Meteorological Records Over Southwestern Nigeria

  Citation: 32

  Authors: Deborah F., Oluwatoyin S., Joy O, Ayansina

• Yield Prediction Model for Potato Using Landsat Time Series Images Driven Vegetation Indices

  Citation: 30

  Authors: Imran Hossain, A. F. M, A. K. M., G. M., Anika, Sadmina

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