OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests
Iván Dorado-Roda, Adrián Pascual, Sérgio Godinho, et al.
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2279-2279
Open Access | Times Cited: 94

Showing 1-25 of 94 citing articles:

Human fingerprint on structural density of forests globally
Wang Li, Wen‐Yong Guo, Maya Pasgaard, et al.
Nature Sustainability (2023) Vol. 6, Iss. 4, pp. 368-379
Closed Access | Times Cited: 49

LiDAR GEDI derived tree canopy height heterogeneity reveals patterns of biodiversity in forest ecosystems
Michele Torresani, Duccio Rocchini, Alessandro Alberti, et al.
Ecological Informatics (2023) Vol. 76, pp. 102082-102082
Open Access | Times Cited: 46

LiDAR Data Fusion to Improve Forest Attribute Estimates: A Review
Mattia Balestra, Suzanne Marselis, Temuulen Tsagaan Sankey, et al.
Current Forestry Reports (2024) Vol. 10, Iss. 4, pp. 281-297
Open Access | Times Cited: 26

Mapping forest canopy fuel parameters at European scale using spaceborne LiDAR and satellite data
Elena Aragoneses, Mariano Garcı́a, Paloma Ruiz‐Benito, et al.
Remote Sensing of Environment (2024) Vol. 303, pp. 114005-114005
Open Access | Times Cited: 22

Aboveground biomass modeling using simulated Global Ecosystem Dynamics Investigation (GEDI) waveform LiDAR and forest inventories in Amazonian rainforests
Nadeem Fareed, Izaya Numata, Mark A. Cochrane, et al.
Forest Ecology and Management (2025) Vol. 578, pp. 122491-122491
Closed Access | Times Cited: 4

Calibration of GEDI footprint aboveground biomass models in Mediterranean forests with NFI plots: A comparison of approaches
Adrián Pascual, Paul May, Aarón Cárdenas-Martínez, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124313-124313
Open Access | Times Cited: 2

Factors affecting relative height and ground elevation estimations of GEDI among forest types across the conterminous USA
Cangjiao Wang, Andrew J. Elmore, Izaya Numata, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 975-999
Open Access | Times Cited: 61

First validation of GEDI canopy heights in African savannas
Xiaoxuan Li, Konrad Wessels, John Armston, et al.
Remote Sensing of Environment (2022) Vol. 285, pp. 113402-113402
Open Access | Times Cited: 47

Aboveground biomass mapping by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, and topographic information in Mediterranean forests
Juan Guerra-Hernández, Lana L. Narine, Adrián Pascual, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 1509-1533
Open Access | Times Cited: 45

State-wide forest canopy height and aboveground biomass map for New York with 10 m resolution, integrating GEDI, Sentinel-1, and Sentinel-2 data
Haifa Tamiminia, Bahram Salehi, Masoud Mahdianpari, et al.
Ecological Informatics (2023) Vol. 79, pp. 102404-102404
Open Access | Times Cited: 31

Improving GEDI Footprint Geolocation Using a High-Resolution Digital Elevation Model
Anouk Schleich, Sylvie Durrieu, Maxime Soma, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 7718-7732
Open Access | Times Cited: 24

Multispectral Light Detection and Ranging Technology and Applications: A Review
Narges Takhtkeshha, Gottfried Mandlburger, Fabio Remondino, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1669-1669
Open Access | Times Cited: 12

Estimation of above ground biomass in tropical heterogeneous forests in India using GEDI
Indu Indirabai, Mats Nilsson
Ecological Informatics (2024) Vol. 82, pp. 102712-102712
Open Access | Times Cited: 12

Evaluating machine learning approaches for aboveground biomass prediction in fragmented high-elevated forests using multi-sensor satellite data
Asim Qadeer, Muhammad Shakir, Li Wang, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 36, pp. 101291-101291
Closed Access | Times Cited: 12

Forest aboveground biomass estimation by GEDI and multi-source EO data fusion over Indian forest
Jayantrao Mohite, Suryakant Sawant, Ankur Pandit, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 4, pp. 1304-1338
Closed Access | Times Cited: 10

Improving aboveground biomass density mapping of arid and semi-arid vegetation by combining GEDI LiDAR, Sentinel-1/2 imagery and field data
Luis Ángel Hernández-Martínez, Juan Manuel Dupuy, Alfonso Medel‐Narváez, et al.
Science of Remote Sensing (2025) Vol. 11, pp. 100204-100204
Open Access | Times Cited: 2

Influence of GEDI Acquisition and Processing Parameters on Canopy Height Estimates over Tropical Forests
Kamel Lahssini, Nicolas Baghdadi, Guerric Le Maire, et al.
Remote Sensing (2022) Vol. 14, Iss. 24, pp. 6264-6264
Open Access | Times Cited: 36

Improving Heterogeneous Forest Height Maps by Integrating GEDI-Based Forest Height Information in a Multi-Sensor Mapping Process
David Morin, Milena Planells, Nicolas Baghdadi, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 2079-2079
Open Access | Times Cited: 30

Assessing GEDI-NASA system for forest fuels classification using machine learning techniques
Raúl Hoffrén, María Teresa Lamelas Gracia, Juan de la Riva, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 116, pp. 103175-103175
Open Access | Times Cited: 23

Modelling aboveground biomass of a multistage managed forest through synergistic use of Landsat-OLI, ALOS-2 L-band SAR and GEDI metrics
Hitendra Padalia, Ankit Prakash, Taibanganba Watham
Ecological Informatics (2023) Vol. 77, pp. 102234-102234
Closed Access | Times Cited: 23

Comparison of GEDI LiDAR Data Capability for Forest Canopy Height Estimation over Broadleaf and Needleleaf Forests
Manizheh Rajab Pourrahmati, Nicolas Baghdadi, Ibrahim Fayad
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1522-1522
Open Access | Times Cited: 22

Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions
Ruoqi Wang, Yagang Lu, Dengsheng Lu, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 8

Validation of the vertical canopy cover profile products derived from the GEDI over selected forest sites
Yu Li, Hongliang Fang, Yao Wang, et al.
Science of Remote Sensing (2024) Vol. 10, pp. 100158-100158
Open Access | Times Cited: 8

Urban Above-Ground Biomass Estimation Using GEDI Laser Data and Optical Remote Sensing Images
Xuedi Zhao, Wenmin Hu, Jiang Han, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1229-1229
Open Access | Times Cited: 7

Fusing Sentinel-1 and -2 to Model GEDI-Derived Vegetation Structure Characteristics in GEE for the Paraguayan Chaco
Patrick Kacic, Andreas Hirner, Emmanuel Da Ponte
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 5105-5105
Open Access | Times Cited: 36

Page 1 - Next Page

Scroll to top