OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Determining the use of Sentinel-2A MSI for wildfire burning & severity detection
Craig Amos, George P. Petropoulos, Konstantinos P. Ferentinos
International Journal of Remote Sensing (2018) Vol. 40, Iss. 3, pp. 905-930
Closed Access | Times Cited: 76

Showing 26-50 of 76 citing articles:

Utilizing Sentinel-2 Data for Mapping Burned Areas in Banjarbaru Wetlands, South Kalimantan Province
Deasy Arisanty, Muhammad Feindhi Ramadhan, Parida Angriani, et al.
International Journal of Forestry Research (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 13

Integrating Remote Sensing Methods and Fire Simulation Models to Estimate Fire Hazard in a South-East Mediterranean Protected Area
Panteleimon Xofis, Pavlos Konstantinidis, Iakovos Papadopoulos, et al.
Fire (2020) Vol. 3, Iss. 3, pp. 31-31
Open Access | Times Cited: 20

Improving crop mapping in Brazil’s Cerrado from a data cubes-derived Sentinel-2 temporal analysis
Michel Eustáquio Dantas Chaves, Ieda Del’Arco Sanches
Remote Sensing Applications Society and Environment (2023) Vol. 32, pp. 101014-101014
Closed Access | Times Cited: 7

Assessment of Small-Extent Forest Fires in Semi-Arid Environment in Jordan Using Sentinel-2 and Landsat Sensors Data
Bassam Qarallah, Yahia A. Othman, Malik G. Al‐Ajlouni, et al.
Forests (2022) Vol. 14, Iss. 1, pp. 41-41
Open Access | Times Cited: 11

The Dolan Fire of Central Coastal California: Burn Severity Estimates from Remote Sensing and Associations with Environmental Factors
Iyare Oseghae, Kiran Bhaganagar, Alberto M. Mestas‐Nuñez
Remote Sensing (2024) Vol. 16, Iss. 10, pp. 1693-1693
Open Access | Times Cited: 2

Sentinel 2 based burn severity mapping and assessing post-fire impacts on forests and buildings in the Mizoram, a north-eastern Himalayan region
Priyanka Gupta, Arun Kumar Shukla, Dericks Praise Shukla
Remote Sensing Applications Society and Environment (2024) Vol. 36, pp. 101279-101279
Closed Access | Times Cited: 2

Trends and applications in wildfire burned area mapping: Remote sensing data, cloud geoprocessing platforms, and emerging algorithms
Daniel Martin Nelson, Yuhong He, G. W. K. Moore
GEOMATICA (2024) Vol. 76, Iss. 1, pp. 100008-100008
Open Access | Times Cited: 2

Event-Based Integrated Assessment of Environmental Variables and Wildfire Severity through Sentinel-2 Data
Juan Picos, Laura Alonso, Guillermo Bastos, et al.
Forests (2019) Vol. 10, Iss. 11, pp. 1021-1021
Open Access | Times Cited: 17

Automated Burned Scar Mapping Using Sentinel-2 Imagery
Dimitris Stavrakoudis, Thomas Katagis, Chara Minakou, et al.
Journal of Geographic Information System (2020) Vol. 12, Iss. 03, pp. 221-240
Open Access | Times Cited: 16

Burn Severity Drivers in Italian Large Wildfires
Francesco Malandra, Alessandro Vitali, Donato Morresi, et al.
Fire (2022) Vol. 5, Iss. 6, pp. 180-180
Open Access | Times Cited: 10

Application of Maximum Likelihood and Spectral Angle Mapping Classification Techniques to Evaluate Forest Fire Severity from UAV Multi-spectral Images in South Korea
Heesung Woo, Mauricio Acuña, Buddhika Madurapperuma, et al.
Sensors and Materials (2021) Vol. 33, Iss. 11, pp. 3745-3745
Open Access | Times Cited: 12

Integrating image segmentation in the delineation of burned areas on Sentinel-2 and Landsat 8 data
Ioannis Kotaridis, Μαρία Λαζαρίδου
Remote Sensing Applications Society and Environment (2023) Vol. 30, pp. 100944-100944
Closed Access | Times Cited: 5

Assessing Wildfire Burn Severity and Its Relationship with Environmental Factors: A Case Study in Interior Alaska Boreal Forest
Christopher W. Smith, Santosh K. Panda, Uma S. Bhatt, et al.
Remote Sensing (2021) Vol. 13, Iss. 10, pp. 1966-1966
Open Access | Times Cited: 11

Evaluating post-fire recovery of Latroon dry forest using Landsat ETM+, unmanned aerial vehicle and field survey data
Bassam Qarallah, Malik G. Al‐Ajlouni, Ayman Al-Awasi, et al.
Journal of Arid Environments (2021) Vol. 193, pp. 104587-104587
Open Access | Times Cited: 11

BA_EnCaps: Dense Capsule Architecture for Thermal Scrutiny
Qurratulain Safder, Fangrong Zhou, Zezhong Zheng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-11
Closed Access | Times Cited: 8

Evaluating a New Relative Phenological Correction and the Effect of Sentinel-Based Earth Engine Compositing Approaches to Map Fire Severity and Burned Area
Adrián Israel Silva-Cardoza, Daniel José Vega-Nieva, Jaime Briseño-Reyes, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3122-3122
Open Access | Times Cited: 8

Vegetation Monitoring and Post-Fire Recovery: A Case Study in the Centre Inland of Portugal
Cristina Alegria
Sustainability (2022) Vol. 14, Iss. 19, pp. 12698-12698
Open Access | Times Cited: 8

Synergistic use of multi-satellite remote sensing to detect forest fires: A case study in South Korea
Yeji Kim, Bo Ram Kim, Seonyoung Park
Remote Sensing Letters (2023) Vol. 14, Iss. 5, pp. 491-502
Closed Access | Times Cited: 4

Remote sensing assessment of wildfire using high-resolution PlanetScope satellite observations: A case study on Co Tien Mountain, Nha Trang City, Vietnam
Binh Pham‐Duc, Ho Nguyen
Journal of Degraded and Mining Lands Management (2024) Vol. 12, Iss. 1, pp. 6491-6499
Open Access | Times Cited: 1

Towards a fully automatic processing chain for operationally mapping burned areas countrywide exploiting Sentinel-2 imagery
Dimitris Stavrakoudis, Thomas Katagis, Chara Minakou, et al.
(2019), pp. 65-65
Closed Access | Times Cited: 10

An Assessment of the Suitability of Sentinel-2 Data for Identifying Burn Severity in Areas of Low Vegetation
Huifen Luo, Junlin Wu
Journal of the Indian Society of Remote Sensing (2022) Vol. 50, Iss. 6, pp. 1135-1144
Closed Access | Times Cited: 6

Mapping fire-impacted refugee camps using the integration of field data and remote sensing approaches
Mohammad Mehedy Hassan, Ikramul Hasan, Jane Southworth, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 115, pp. 103120-103120
Open Access | Times Cited: 6

A comparative Bayesian optimization-based machine learning and artificial neural networks approach for burned area prediction in forest fires: an application in Turkey
Kübra Yazıcı, Alev Taşkın Gümüş
Natural Hazards (2023) Vol. 119, Iss. 3, pp. 1883-1912
Closed Access | Times Cited: 3

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