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:
Comparative Analysis of the Global Forest/Non-Forest Maps Derived from SAR and Optical Sensors. Case Studies from Brazilian Amazon and Cerrado Biomes
Edson Eyji Sano, Paola Rizzoli, Christian N. Koyama, et al.
Remote Sensing (2021) Vol. 13, Iss. 3, pp. 367-367
Open Access | Times Cited: 16
Edson Eyji Sano, Paola Rizzoli, Christian N. Koyama, et al.
Remote Sensing (2021) Vol. 13, Iss. 3, pp. 367-367
Open Access | Times Cited: 16
Showing 16 citing articles:
DETER-R: An Operational Near-Real Time Tropical Forest Disturbance Warning System Based on Sentinel-1 Time Series Analysis
Juan Doblas, Mariane Souza Reis, Amanda P. Belluzzo, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3658-3658
Open Access | Times Cited: 31
Juan Doblas, Mariane Souza Reis, Amanda P. Belluzzo, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3658-3658
Open Access | Times Cited: 31
Improving Deforestation Detection on Tropical Rainforests Using Sentinel-1 Data and Convolutional Neural Networks
M. X. Ortega, Juan Doblas, Raul Queiroz Feitosa, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3290-3290
Open Access | Times Cited: 17
M. X. Ortega, Juan Doblas, Raul Queiroz Feitosa, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3290-3290
Open Access | Times Cited: 17
Spatiotemporal forest cover change monitoring of phytogeographic regions of Türkiye with a machine learning hybrid classification method
Emre Aktürk, Kerim Güney
International Journal of Image and Data Fusion (2025) Vol. 16, Iss. 1
Closed Access
Emre Aktürk, Kerim Güney
International Journal of Image and Data Fusion (2025) Vol. 16, Iss. 1
Closed Access
Amazonian savannas are an integral part of Brazil’s Amazon “biome”: implications for environmental policies
William Douglas de Carvalho, Salustiano Vilar da Costa Neto, Fernando César Paiva Dagosta, et al.
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
William Douglas de Carvalho, Salustiano Vilar da Costa Neto, Fernando César Paiva Dagosta, et al.
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
Understanding the Spatio-Temporal Behavior of Sentinel-1 SAR Vegetation Indices over the Brazilian Savanna
Jales de Freitas Bussinguer, Gustavo Macêdo de Mello Baptista, Edson Eyji Sano, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-18
Closed Access | Times Cited: 3
Jales de Freitas Bussinguer, Gustavo Macêdo de Mello Baptista, Edson Eyji Sano, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-18
Closed Access | Times Cited: 3
Perspective: Monitoring global forests using only structural metrics – problems and solutions from a savanna viewpoint
Peter F. Scogings
Forest Ecology and Management (2023) Vol. 546, pp. 121381-121381
Open Access | Times Cited: 7
Peter F. Scogings
Forest Ecology and Management (2023) Vol. 546, pp. 121381-121381
Open Access | Times Cited: 7
Improving Forest Baseline Maps in Tropical Wetlands Using GEDI-Based Forest Height Information and Sentinel-1
Kamiel Verhelst, Yaqing Gou, Martin Herold, et al.
Forests (2021) Vol. 12, Iss. 10, pp. 1374-1374
Open Access | Times Cited: 16
Kamiel Verhelst, Yaqing Gou, Martin Herold, et al.
Forests (2021) Vol. 12, Iss. 10, pp. 1374-1374
Open Access | Times Cited: 16
MAPPING NATURAL NON-FOREST VEGETATION REMOVAL IN THE BRAZILIAN AMAZON – A PILOT PROJECT
Cláudia Maria de Almeida, DANILO RODRIGUES PEREIRA DA SILVA, Cassiano Gustavo Messias, et al.
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2022) Vol. XLIII-B3-2022, pp. 1341-1348
Open Access | Times Cited: 4
Cláudia Maria de Almeida, DANILO RODRIGUES PEREIRA DA SILVA, Cassiano Gustavo Messias, et al.
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2022) Vol. XLIII-B3-2022, pp. 1341-1348
Open Access | Times Cited: 4
Long-Term Pantropical Forest Monitoring with ALOS-2 L-Band SAR
Christian N. Koyama, Manabu Watanabe, Masanobu Shimada, et al.
(2021), pp. 1-5
Closed Access | Times Cited: 5
Christian N. Koyama, Manabu Watanabe, Masanobu Shimada, et al.
(2021), pp. 1-5
Closed Access | Times Cited: 5
From ALOS-2 to ALOS-4: Japan's pioneering L-band SARs for global vegetation monitoring: state-of-the-art and future perspectives
Christian N. Koyama, Masanobu Shimada, Masato Ohki, et al.
(2023), pp. 16-16
Closed Access | Times Cited: 1
Christian N. Koyama, Masanobu Shimada, Masato Ohki, et al.
(2023), pp. 16-16
Closed Access | Times Cited: 1
Characterization of the Amazon Rainforest Backscatter at X-Band Using TanDEM-X Data
Luca Dell’Amore, José–Luis Bueso–Bello, Patrick Klenk, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 1673-1690
Open Access | Times Cited: 1
Luca Dell’Amore, José–Luis Bueso–Bello, Patrick Klenk, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 1673-1690
Open Access | Times Cited: 1
Biodiversity and Conservation of Bats in Brazilian Amazonia: With a Review of the Last 10 Years of Research
Valéria da Cunha Tavares, William Douglas de Carvalho, Leonardo Carreira Trevelin, et al.
Springer eBooks (2023), pp. 29-72
Closed Access | Times Cited: 1
Valéria da Cunha Tavares, William Douglas de Carvalho, Leonardo Carreira Trevelin, et al.
Springer eBooks (2023), pp. 29-72
Closed Access | Times Cited: 1
Improving L-Band SAR Forest Monitoring by Big Data Deep Learning Based on ALOS-2 5 Years Pan-Tropical Observations
Christian N. Koyama, Manabu Watanabe, Edson Eyji Sano, et al.
(2021), pp. 6747-6750
Closed Access | Times Cited: 3
Christian N. Koyama, Manabu Watanabe, Edson Eyji Sano, et al.
(2021), pp. 6747-6750
Closed Access | Times Cited: 3
Achievements of the ALOS-2 L-Band SAR Long-Term Pantropical Forest Monitoring Mission
Christian N. Koyama, Masanobu Shimada, Kazufumi Kobayashi, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023), pp. 1994-1997
Closed Access
Christian N. Koyama, Masanobu Shimada, Kazufumi Kobayashi, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023), pp. 1994-1997
Closed Access
Using photogrammetry to assess the recovery of a cypress forest and its impact on water-borne erosion. Case study: Guadalupe Island.
Laura Abigail Vera-Ortega, Alejandro Hinojosa‐Corona, Luciana Luna, et al.
Research Square (Research Square) (2023)
Open Access
Laura Abigail Vera-Ortega, Alejandro Hinojosa‐Corona, Luciana Luna, et al.
Research Square (Research Square) (2023)
Open Access
Extending JAXA’s long-term L-band SAR forest observation legacy with ALOS-4/PALSAR-3
Christian N. Koyama, Masato Ohki, Takeshi Motooka, et al.
(2022), pp. 13-13
Closed Access
Christian N. Koyama, Masato Ohki, Takeshi Motooka, et al.
(2022), pp. 13-13
Closed Access
