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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:

Assessing Forest Type and Tree Species Classification Using Sentinel-1 C-Band SAR Data in Southern Sweden
Alberto Udali, Emanuele Lingua, Henrik Persson
Remote Sensing (2021) Vol. 13, Iss. 16, pp. 3237-3237
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Combination of Sentinel-1 and Sentinel-2 Data for Tree Species Classification in a Central European Biosphere Reserve
Michael Lechner, Alena Dostálová, Markus Hollaus, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2687-2687
Open Access | Times Cited: 36
Estimation of Aboveground Carbon Density of Forests Using Deep Learning and Multisource Remote Sensing
Fanyi Zhang, Xin Tian, Haibo Zhang, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3022-3022
Open Access | Times Cited: 35
Improving the characterization of global aquatic land cover types using multi-source earth observation data
Panpan Xu, Nandin‐Erdene Tsendbazar, Martin Herold, et al.
Remote Sensing of Environment (2022) Vol. 278, pp. 113103-113103
Open Access | Times Cited: 26
Review on the Possibilities of Mapping Old-Growth Temperate Forests by Remote Sensing in Europe
Manuela Hirschmugl, Carina Sobe, Alfredo Di Filippo, et al.
Environmental Modeling & Assessment (2023) Vol. 28, Iss. 5, pp. 761-785
Open Access | Times Cited: 15
A Review: Tree Species Classification Based on Remote Sensing Data and Classic Deep Learning-based Methods
Lihui Zhong, Zhengquan Dai, Panfei Fang, et al.
(2024)
Open Access | Times Cited: 6
A Review: Tree Species Classification Based on Remote Sensing Data and Classic Deep Learning-Based Methods
Lihui Zhong, Zhengquan Dai, Panfei Fang, et al.
Forests (2024) Vol. 15, Iss. 5, pp. 852-852
Open Access | Times Cited: 6
Sentinel-2 time series analysis for monitoring multi-taxon biodiversity in mountain beech forests
Francesco Parisi, Elia Vangi, Saverio Francini, et al.
Frontiers in Forests and Global Change (2023) Vol. 6
Open Access | Times Cited: 12
Vegetation Type Mapping in Southern Patagonia and Its Relationship with Ecosystem Services, Soil Carbon Stock, and Biodiversity
Pablo Luís Peri, Juan Gaitán, Boris Díaz, et al.
Sustainability (2024) Vol. 16, Iss. 5, pp. 2025-2025
Open Access | Times Cited: 4
Local-scale mapping of tree species in a lower mountain area using Sentinel-1 and -2 multitemporal images, vegetation indices, and topographic information
Iosif Vorovencii, Lucian Dincă, Vlad Crișan, et al.
Frontiers in Forests and Global Change (2023) Vol. 6
Open Access | Times Cited: 10
Seasonality and directionality effects on radar backscatter are key to identify mountain forest types with Sentinel-1 data
Ignacio Borlaf-Mena, Juan García-Duro, Maurizio Santoro, et al.
Remote Sensing of Environment (2023) Vol. 296, pp. 113728-113728
Closed Access | Times Cited: 9
Vegetation Fuel Mapping at Regional Scale Using Sentinel-1, Sentinel-2, and DEM Derivatives—The Case of the Region of East Macedonia and Thrace, Greece
Irene Chrysafis, Christos Damianidis, V. Giannakopoulos, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1015-1015
Open Access | Times Cited: 7
Sentinel-1 Time Series for Predicting Growing Stock Volume of Boreal Forest: Multitemporal Analysis and Feature Selection
Shaojia Ge, Erkki Tomppo, Yrjö Rauste, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3489-3489
Open Access | Times Cited: 6
Detection of forest windthrows with bitemporal COSMO-SkyMed and Sentinel-1 SAR data
Michele Dalponte, Yady Tatiana Solano‐Correa, Daniele Marinelli, et al.
Remote Sensing of Environment (2023) Vol. 297, pp. 113787-113787
Open Access | Times Cited: 6
Changes in Impervious Surfaces in Lhasa City, a Historical City on the Qinghai–Tibet Plateau
Sishi Wang, Xin Tan, Fenglei Fan
Sustainability (2023) Vol. 15, Iss. 6, pp. 5510-5510
Open Access | Times Cited: 5
Monitoring the abundance of saproxylic red-listed species in a managed beech forest by landsat temporal metrics
Francesco Parisi, Elia Vangi, Saverio Francini, et al.
Forest Ecosystems (2022) Vol. 9, pp. 100050-100050
Open Access | Times Cited: 8
Mapping the Distribution and Dynamics of Coniferous Forests in Large Areas from 1985 to 2020 Combining Deep Learning and Google Earth Engine
Lizhi Liu, Qiuliang Zhang, Ying Guo, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1235-1235
Open Access | Times Cited: 4
Mapping Quaking Aspen (Populus tremuloides Michx.) Using Seasonal Sentinel-1 and Sentinel-2 Composite Imagery across the Southern Rockies, USA
Maxwell Cook, Teresa B. Chapman, Sarah J. Hart, et al.
(2024)
Open Access | Times Cited: 1
Sensitivity of Sentinel-1 Backscatter to Management-Related Disturbances in Temperate Forests
Sietse van der Woude, Johannes Reiche, Frank J. Sterck, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1553-1553
Open Access | Times Cited: 1
Mapping Quaking Aspen Using Seasonal Sentinel-1 and Sentinel-2 Composite Imagery across the Southern Rockies, USA
Maxwell Cook, Teresa B. Chapman, Sarah J. Hart, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1619-1619
Open Access | Times Cited: 1
Examining changes in woody vegetation cover in a human-modified temperate savanna in Central Texas between 1996 and 2022 using remote sensing
Horia G. Olariu, Bradford P. Wilcox, Sorin C. Popescu
Frontiers in Forests and Global Change (2024) Vol. 7
Open Access | Times Cited: 1
Tree species classification on images from airborne mobile mapping using ML.NET
Maja Michałowska, Jacek Rapiński, Joanna Janicka
European Journal of Remote Sensing (2023) Vol. 56, Iss. 1
Open Access | Times Cited: 3
Integrating multi-source remote sensing data for mapping boreal forest canopy height and species in interior Alaska in support of radar modeling
Yuhuan Zhao, Kazem Bakian-Dogaheh, J. Whitcomb, et al.
Environmental Research Letters (2024) Vol. 19, Iss. 7, pp. 074025-074025
Open Access
Exploring the Relationship Between Time Series of Sentinel-1 Interferometric Coherence Data and Wild Edible Mushroom Yields in Mediterranean Forests
Raquel Martínez-Rodrigo, Beatriz Fernández Águeda, Juan M. López‐Sánchez, et al.
Journal of Geovisualization and Spatial Analysis (2024) Vol. 8, Iss. 2
Open Access
Remote Sensing Extraction Method of Illicium verum Based on Functional Characteristics of Vegetation Canopy
Zhuoyao Zhang, Xiangnan Liu, Lihong Zhu, et al.
Remote Sensing (2022) Vol. 14, Iss. 24, pp. 6248-6248
Open Access | Times Cited: 2
Assessment of the Impact of Surface Water Content for Temperate Forests in SAR Data at C-Band
Costanza Cagnina, Armando Marino, Cristian Silva-Perez, et al.
Remote Sensing (2023) Vol. 15, Iss. 24, pp. 5723-5723
Open Access
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