
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:
Combining simulated hyperspectral EnMAP and Landsat time series for forest aboveground biomass mapping
Sam Cooper, Akpona Okujeni, Dirk Pflugmacher, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 98, pp. 102307-102307
Open Access | Times Cited: 21
Sam Cooper, Akpona Okujeni, Dirk Pflugmacher, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 98, pp. 102307-102307
Open Access | Times Cited: 21
Showing 21 citing articles:
Land Use and Land Cover Mapping Using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods
Vahid Nasiri, Azade Deljouei, Fardin Moradi, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 1977-1977
Open Access | Times Cited: 147
Vahid Nasiri, Azade Deljouei, Fardin Moradi, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 1977-1977
Open Access | Times Cited: 147
Future Scenarios of Land Use/Land Cover (LULC) Based on a CA-Markov Simulation Model: Case of a Mediterranean Watershed in Morocco
Mohamed Beroho, Hamza Briak, El Khalil Cherif, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1162-1162
Open Access | Times Cited: 64
Mohamed Beroho, Hamza Briak, El Khalil Cherif, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1162-1162
Open Access | Times Cited: 64
Newly-developed three-band hyperspectral vegetation index for estimating leaf relative chlorophyll content of mangrove under different severities of pest and disease
Xiapeng Jiang, Jianing Zhen, Jing Miao, et al.
Ecological Indicators (2022) Vol. 140, pp. 108978-108978
Open Access | Times Cited: 51
Xiapeng Jiang, Jianing Zhen, Jing Miao, et al.
Ecological Indicators (2022) Vol. 140, pp. 108978-108978
Open Access | Times Cited: 51
Forest Aboveground Biomass Estimation and Inventory: Evaluating Remote Sensing-Based Approaches
Muhammad Nouman Khan, Yumin Tan, Ahmad Ali Gul, et al.
Forests (2024) Vol. 15, Iss. 6, pp. 1055-1055
Open Access | Times Cited: 10
Muhammad Nouman Khan, Yumin Tan, Ahmad Ali Gul, et al.
Forests (2024) Vol. 15, Iss. 6, pp. 1055-1055
Open Access | Times Cited: 10
Evaluating the Research Status of the Remote Sensing-Mediated Monitoring of Forest Biomass: A Bibliometric Analysis of WOS
Yonglei Shi, Zhihui Wang, Guojun Zhang, et al.
Forests (2024) Vol. 15, Iss. 3, pp. 524-524
Open Access | Times Cited: 9
Yonglei Shi, Zhihui Wang, Guojun Zhang, et al.
Forests (2024) Vol. 15, Iss. 3, pp. 524-524
Open Access | Times Cited: 9
Technology and Data Fusion Methods to Enhance Site-Specific Crop Monitoring
Uzair Ahmad, Abozar Nasirahmadi, Oliver Hensel, et al.
Agronomy (2022) Vol. 12, Iss. 3, pp. 555-555
Open Access | Times Cited: 30
Uzair Ahmad, Abozar Nasirahmadi, Oliver Hensel, et al.
Agronomy (2022) Vol. 12, Iss. 3, pp. 555-555
Open Access | Times Cited: 30
Estimating the Aboveground Biomass of Various Forest Types with High Heterogeneity at the Provincial Scale Based on Multi-Source Data
Tian‐Bao Huang, Guanglong Ou, Yong Wu, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3550-3550
Open Access | Times Cited: 22
Tian‐Bao Huang, Guanglong Ou, Yong Wu, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3550-3550
Open Access | Times Cited: 22
Above-Ground Biomass Estimation of Plantation with Different Tree Species Using Airborne LiDAR and Hyperspectral Data
Linghan Gao, Guoqi Chai, Xiaoli Zhang
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2568-2568
Open Access | Times Cited: 28
Linghan Gao, Guoqi Chai, Xiaoli Zhang
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2568-2568
Open Access | Times Cited: 28
The EnMAP spaceborne imaging spectroscopy mission: Initial scientific results two years after launch
Sabine Chabrillat, Saskia Foerster, Karl Segl, et al.
Remote Sensing of Environment (2024), pp. 114379-114379
Open Access | Times Cited: 6
Sabine Chabrillat, Saskia Foerster, Karl Segl, et al.
Remote Sensing of Environment (2024), pp. 114379-114379
Open Access | Times Cited: 6
A Novel Method for Estimating Spatial Distribution of Forest Above-Ground Biomass Based on Multispectral Fusion Data and Ensemble Learning Algorithm
Xinyu Li, Meng Zhang, Jiangping Long, et al.
Remote Sensing (2021) Vol. 13, Iss. 19, pp. 3910-3910
Open Access | Times Cited: 28
Xinyu Li, Meng Zhang, Jiangping Long, et al.
Remote Sensing (2021) Vol. 13, Iss. 19, pp. 3910-3910
Open Access | Times Cited: 28
Above‐ground biomass retrieval with multi‐source data: Prediction and applicability analysis in E astern M ongolia
Shuxin Ji, Batnyambuu Dashpurev, Thanh Noi Phan, et al.
Land Degradation and Development (2024) Vol. 35, Iss. 9, pp. 2982-2992
Open Access | Times Cited: 4
Shuxin Ji, Batnyambuu Dashpurev, Thanh Noi Phan, et al.
Land Degradation and Development (2024) Vol. 35, Iss. 9, pp. 2982-2992
Open Access | Times Cited: 4
Ecoregion-wide, multi-sensor biomass mapping highlights a major underestimation of dry forests carbon stocks
Florian Pötzschner, Matthias Baumann, Ignácio Gasparri, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112849-112849
Closed Access | Times Cited: 24
Florian Pötzschner, Matthias Baumann, Ignácio Gasparri, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112849-112849
Closed Access | Times Cited: 24
Spectrotemporal fusion: Generation of frequent hyperspectral satellite imagery
Shuheng Zhao, Xiaolin Zhu, Xiaoyue Tan, et al.
Remote Sensing of Environment (2025) Vol. 319, pp. 114639-114639
Open Access
Shuheng Zhao, Xiaolin Zhu, Xiaoyue Tan, et al.
Remote Sensing of Environment (2025) Vol. 319, pp. 114639-114639
Open Access
Mapping Forest Aboveground Biomass with MODIS and Fengyun-3C VIRR Imageries in Yunnan Province, Southwest China Using Linear Regression, K-Nearest Neighbor and Random Forest
Huafang Chen, Zhihao Qin, Deli Zhai, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5456-5456
Open Access | Times Cited: 14
Huafang Chen, Zhihao Qin, Deli Zhai, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5456-5456
Open Access | Times Cited: 14
Comparing Algorithms for Estimation of Aboveground Biomass in Pinus yunnanensis
Tian‐Bao Huang, Guanglong Ou, Hui Xu, et al.
Forests (2023) Vol. 14, Iss. 9, pp. 1742-1742
Open Access | Times Cited: 7
Tian‐Bao Huang, Guanglong Ou, Hui Xu, et al.
Forests (2023) Vol. 14, Iss. 9, pp. 1742-1742
Open Access | Times Cited: 7
Estimating forest aboveground biomass in tropical forests with Landsat time-series data and recurrent neural network
Qian Zhang, Qile Zhuo
International Journal of Remote Sensing (2024) Vol. 45, Iss. 14, pp. 4764-4787
Closed Access | Times Cited: 2
Qian Zhang, Qile Zhuo
International Journal of Remote Sensing (2024) Vol. 45, Iss. 14, pp. 4764-4787
Closed Access | Times Cited: 2
Co-Kriging-Guided Interpolation for Mapping Forest Aboveground Biomass by Integrating Global Ecosystem Dynamics Investigation and Sentinel-2 Data
Yingchen Wang, Hongtao Wang, Cheng Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2913-2913
Open Access | Times Cited: 1
Yingchen Wang, Hongtao Wang, Cheng Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2913-2913
Open Access | Times Cited: 1
Flying Laboratory of Imaging Systems: Fusion of Airborne Hyperspectral and Laser Scanning for Ecosystem Research
Jan Hanuš, Lukáš Slezák, Tomáš Fabiánek, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3130-3130
Open Access | Times Cited: 3
Jan Hanuš, Lukáš Slezák, Tomáš Fabiánek, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3130-3130
Open Access | Times Cited: 3
A Multifactor Weighting Method for Improved Clear View Compositing Using All Available Landsat 8 and Sentinel 2 Images in Google Earth Engine
Shili Meng, Yong Pang, Chengquan Huang, et al.
Journal of Remote Sensing (2023) Vol. 3
Open Access | Times Cited: 2
Shili Meng, Yong Pang, Chengquan Huang, et al.
Journal of Remote Sensing (2023) Vol. 3
Open Access | Times Cited: 2
More Accurately Estimating Aboveground Biomass in Tropical Forests With Complex Forest Structures and Regions of High‐Aboveground Biomass
Ying Su, Matteo Mura, Xiaoman Zheng, et al.
Journal of Geophysical Research Biogeosciences (2024) Vol. 129, Iss. 6
Closed Access
Ying Su, Matteo Mura, Xiaoman Zheng, et al.
Journal of Geophysical Research Biogeosciences (2024) Vol. 129, Iss. 6
Closed Access
Mapping Savannah Woody Vegetation at the Species Level with Multispectral Drone and Hyperspectral EnMAP Data
Christina Karakizi, Akpona Okujeni, Eleni Sofikiti, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 4447-4451
Closed Access
Christina Karakizi, Akpona Okujeni, Eleni Sofikiti, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 4447-4451
Closed Access