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:
Toward a forest biomass reference measurement system for remote sensing applications
Nicolas Labrière, Stuart J. Davies, Mathias Disney, et al.
Global Change Biology (2022) Vol. 29, Iss. 3, pp. 827-840
Open Access | Times Cited: 38
Nicolas Labrière, Stuart J. Davies, Mathias Disney, et al.
Global Change Biology (2022) Vol. 29, Iss. 3, pp. 827-840
Open Access | Times Cited: 38
Showing 26-50 of 38 citing articles:
Improving plot-level above ground biomass estimation in tropical Indian forests
Rakesh Fararoda, R. Suraj Reddy, G. Rajashekar, et al.
Ecological Informatics (2024) Vol. 81, pp. 102621-102621
Open Access | Times Cited: 2
Rakesh Fararoda, R. Suraj Reddy, G. Rajashekar, et al.
Ecological Informatics (2024) Vol. 81, pp. 102621-102621
Open Access | Times Cited: 2
Old-growth mapping in Patagonia’s evergreen forests must integrate GEDI data to overcome NFI data limitations and to effectively support biodiversity conservation
Adrián Pascual, Aarón Grau-Neira, Eduardo Morales-Santana, et al.
Forest Ecology and Management (2024) Vol. 568, pp. 122059-122059
Closed Access | Times Cited: 2
Adrián Pascual, Aarón Grau-Neira, Eduardo Morales-Santana, et al.
Forest Ecology and Management (2024) Vol. 568, pp. 122059-122059
Closed Access | Times Cited: 2
Small Field Plots Can Cause Substantial Uncertainty in Gridded Aboveground Biomass Products from Airborne Lidar Data
K. C. Cushman, Sassan Saatchi, Ronald E. McRoberts, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3509-3509
Open Access | Times Cited: 5
K. C. Cushman, Sassan Saatchi, Ronald E. McRoberts, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3509-3509
Open Access | Times Cited: 5
Sensing Forests Directly: The Power of Permanent Plots
Oliver L. Phillips
Plants (2023) Vol. 12, Iss. 21, pp. 3710-3710
Open Access | Times Cited: 5
Oliver L. Phillips
Plants (2023) Vol. 12, Iss. 21, pp. 3710-3710
Open Access | Times Cited: 5
Synergistic Use of Sentinel-1 and Sentinel-2 Based on Different Preprocessing for Predicting Forest Aboveground Biomass
Gengsheng Fang, Hangyuan Yu, Luming Fang, et al.
Forests (2023) Vol. 14, Iss. 8, pp. 1615-1615
Open Access | Times Cited: 4
Gengsheng Fang, Hangyuan Yu, Luming Fang, et al.
Forests (2023) Vol. 14, Iss. 8, pp. 1615-1615
Open Access | Times Cited: 4
Natural vegetation biomass and the dimension of forest quality in tropical agricultural landscapes
Renato Miazaki de Toledo, Vânia Regina Pivello, Michael P. Perring, et al.
Ecological Applications (2024) Vol. 34, Iss. 3
Closed Access | Times Cited: 1
Renato Miazaki de Toledo, Vânia Regina Pivello, Michael P. Perring, et al.
Ecological Applications (2024) Vol. 34, Iss. 3
Closed Access | Times Cited: 1
Potensi Cadangan Karbon di Lembo Durian dan Hutan Sekunder Berbeda Umur di Kampung Intu Lingau Kecamatan Nyuatan Kabupaten Kutai Barat Kalimantan Timur
Agatha Lastika Patmawati, Karyati Karyati, Paulus Matius
Jurnal Ilmiah Kehutanan Rimba Kalimantan/ULIN : Jurnal Hutan Tropis (2024) Vol. 8, Iss. 2, pp. 49-49
Open Access | Times Cited: 1
Agatha Lastika Patmawati, Karyati Karyati, Paulus Matius
Jurnal Ilmiah Kehutanan Rimba Kalimantan/ULIN : Jurnal Hutan Tropis (2024) Vol. 8, Iss. 2, pp. 49-49
Open Access | Times Cited: 1
Informing forest carbon inventories under the Paris Agreement using ground‐based forest monitoring data
Kristina J. Anderson‐Teixeira, Valentine Herrmann, Madison Williams, et al.
Plants People Planet (2024) Vol. 7, Iss. 1, pp. 105-116
Open Access | Times Cited: 1
Kristina J. Anderson‐Teixeira, Valentine Herrmann, Madison Williams, et al.
Plants People Planet (2024) Vol. 7, Iss. 1, pp. 105-116
Open Access | Times Cited: 1
Forest age estimation in northern Arkhangelsk region based on machine learning pipeline on Sentinel-2 and auxiliary data
Alina Smolina, Svetlana Illarionova, Dmitrii Shadrin, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Alina Smolina, Svetlana Illarionova, Dmitrii Shadrin, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Design and Performance of the Climate Change Initiative Biomass Global Retrieval Algorithm
Maurizio Santoro, Oliver Cartus, S. Quegan, et al.
(2024)
Closed Access
Maurizio Santoro, Oliver Cartus, S. Quegan, et al.
(2024)
Closed Access
Orman içi açıklıklara ait zamansal değişimlerin uzaktan algılama teknikleri ile Google Earth Engine platformunda tespit edilmesi: Trabzon-Düzköy İlçesi örneği
Fatih Kadı, Osman Salih Yılmaz
Geomatik (2024) Vol. 9, Iss. 2, pp. 141-155
Open Access
Fatih Kadı, Osman Salih Yılmaz
Geomatik (2024) Vol. 9, Iss. 2, pp. 141-155
Open Access
Estimating forest aboveground carbon sink based on Landsat time-series and its response to climate change
Kun Yang, Kai Luo, Jialong Zhang, et al.
Research Square (Research Square) (2024)
Open Access
Kun Yang, Kai Luo, Jialong Zhang, et al.
Research Square (Research Square) (2024)
Open Access
Contextual learning improves forest above-ground biomass estimates from UAV-LiDAR: use of tree trait associations.
Jaime Caballer Revenga, Stefan Oehmcke, Mana Gharun, et al.
EarthArXiv (California Digital Library) (2023)
Open Access
Jaime Caballer Revenga, Stefan Oehmcke, Mana Gharun, et al.
EarthArXiv (California Digital Library) (2023)
Open Access
