Nomura, K.[Keiko],
Mitchard, E.T.A.[Edward T. A.],
More Than Meets the Eye: Using Sentinel-2 to Map Small Plantations in
Complex Forest Landscapes,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Frison, P.L.[Pierre-Louis],
Fruneau, B.[Bénédicte],
Kmiha, S.[Syrine],
Soudani, K.[Kamel],
Dufrêne, E.[Eric],
Toan, T.L.[Thuy Le],
Koleck, T.[Thierry],
Villard, L.[Ludovic],
Mougin, E.[Eric],
Rudant, J.P.[Jean-Paul],
Potential of Sentinel-1 Data for Monitoring Temperate Mixed Forest
Phenology,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Arekhi, M.[Maliheh],
Goksel, C.[Cigdem],
Sanli, F.B.[Fusun Balik],
Senel, G.[Gizem],
Comparative Evaluation of the Spectral and Spatial Consistency of
Sentinel-2 and Landsat-8 OLI Data for Igneada Longos Forest,
IJGI(8), No. 2, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Grabska, E.[Ewa],
Hostert, P.[Patrick],
Pflugmacher, D.[Dirk],
Ostapowicz, K.[Katarzyna],
Forest Stand Species Mapping Using the Sentinel-2 Time Series,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Grabska, E.[Ewa],
Hawrylo, P.[Pawel],
Socha, J.[Jaroslaw],
Continuous Detection of Small-Scale Changes in Scots Pine Dominated
Stands Using Dense Sentinel-2 Time Series,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Nink, S.[Sascha],
Hill, J.[Joachim],
Stoffels, J.[Johannes],
Buddenbaum, H.[Henning],
Frantz, D.[David],
Langshausen, J.[Joachim],
Using Landsat and Sentinel-2 Data for the Generation of Continuously
Updated Forest Type Information Layers in a Cross-Border Region,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Bayle, A.[Arthur],
Carlson, B.Z.[Bradley Z.],
Thierion, V.[Vincent],
Isenmann, M.[Marc],
Choler, P.[Philippe],
Improved Mapping of Mountain Shrublands Using the Sentinel-2 Red-Edge
Band,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Heckel, K.[Kai],
Urban, M.[Marcel],
Schratz, P.[Patrick],
Mahecha, M.D.[Miguel D.],
Schmullius, C.[Christiane],
Predicting Forest Cover in Distinct Ecosystems: The Potential of
Multi-Source Sentinel-1 and -2 Data Fusion,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Brede, B.[Benjamin],
Verrelst, J.[Jochem],
Gastellu-Etchegorry, J.P.[Jean-Philippe],
Clevers, J.G.P.W.[Jan G.P.W.],
Goudzwaard, L.[Leo],
den Ouden, J.[Jan],
Verbesselt, J.[Jan],
Herold, M.[Martin],
Assessment of Workflow Feature Selection on Forest LAI Prediction
with Sentinel-2A MSI, Landsat 7 ETM+ and Landsat 8 OLI,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Yu, H.Y.[Hao-Yang],
Ni, W.J.[Wen-Jian],
Zhang, Z.J.[Zhong-Jun],
Sun, G.Q.[Guo-Qing],
Zhang, Z.Y.[Zhi-Yu],
Regional Forest Mapping over Mountainous Areas in Northeast China
Using Newly Identified Critical Temporal Features of Sentinel-1
Backscattering,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Hansen, J.N.[Johannes N.],
Mitchard, E.T.A.[Edward T. A.],
King, S.[Stuart],
Assessing Forest/Non-Forest Separability Using Sentinel-1 C-Band
Synthetic Aperture Radar,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Kovacevic, J.[Jovan],
Cvijetinovic, Ž.[Željko],
Lakušic, D.[Dmitar],
Kuzmanovic, N.[Nevena],
Šinžar-Sekulic, J.[Jasmina],
Mitrovic, M.[Momir],
Stancic, N.[Nikola],
Brodic, N.[Nenad],
Mihajlovic, D.[Dragan],
Spatio-Temporal Classification Framework for Mapping Woody Vegetation
from Multi-Temporal Sentinel-2 Imagery,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Furuya, D.E.G.[Danielle Elis Garcia],
Aguiar, J.A.F.[João Alex Floriano],
Estrabis, N.V.[Nayara V.],
Pinheiro, M.M.F.[Mayara Maezano Faita],
Furuya, M.T.G.[Michelle Taís Garcia],
Pereira, D.R.[Danillo Roberto],
Gonçalves, W.N.[Wesley Nunes],
Liesenberg, V.[Veraldo],
Li, J.[Jonathan],
Junior, J.M.[José Marcato],
Osco, L.P.[Lucas Prado],
Ramos, A.P.M.[Ana Paula Marques],
A Machine Learning Approach for Mapping Forest Vegetation in Riparian
Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Dostálová, A.[Alena],
Lang, M.[Mait],
Ivanovs, J.[Janis],
Waser, L.T.[Lars T.],
Wagner, W.[Wolfgang],
European Wide Forest Classification Based on Sentinel-1 Data,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link
2102
BibRef
Praticò, S.[Salvatore],
Solano, F.[Francesco],
Fazio, S.D.[Salvatore Di],
Modica, G.[Giuseppe],
Machine Learning Classification of Mediterranean Forest Habitats in
Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and
Input Image Composition Optimisation,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Bjerreskov, K.S.[Kristian Skau],
Nord-Larsen, T.[Thomas],
Fensholt, R.[Rasmus],
Classification of Nemoral Forests with Fusion of Multi-Temporal
Sentinel-1 and 2 Data,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Alonso, L.[Laura],
Picos, J.[Juan],
Armesto, J.[Julia],
Forest Land Cover Mapping at a Regional Scale Using Multi-Temporal
Sentinel-2 Imagery and RF Models,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Astola, H.[Heikki],
Seitsonen, L.[Lauri],
Halme, E.[Eelis],
Molinier, M.[Matthieu],
Lönnqvist, A.[Anne],
Deep Neural Networks with Transfer Learning for Forest Variable
Estimation Using Sentinel-2 Imagery in Boreal Forest,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Svoboda, J.[Jan],
Štych, P.[Premysl],
Laštovicka, J.[Josef],
Paluba, D.[Daniel],
Kobliuk, N.[Natalia],
Random Forest Classification of Land Use, Land-Use Change and
Forestry (LULUCF) Using Sentinel-2 Data: A Case Study of Czechia,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Peng, X.L.[Xue-Li],
He, G.J.[Guo-Jin],
She, W.Q.[Wen-Qing],
Zhang, X.M.[Xiao-Mei],
Wang, G.Z.[Gui-Zhou],
Yin, R.[Ranyu],
Long, T.F.[Teng-Fei],
A Comparison of Random Forest Algorithm-Based Forest Extraction with
GF-1 WFV, Landsat 8 and Sentinel-2 Images,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Ren, C.Y.[Chun-Ying],
Jiang, H.L.[Hai-Ling],
Xi, Y.B.[Yan-Biao],
Liu, P.[Pan],
Li, H.Y.[Hui-Ying],
Quantifying Temperate Forest Diversity by Integrating GEDI LiDAR and
Multi-Temporal Sentinel-2 Imagery,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Mateen, S.[Shabnam],
Nuthammachot, N.[Narissara],
Techato, K.[Kuaanan],
Ullah, N.[Nasim],
Billion Tree Tsunami Forests Classification Using Image Fusion
Technique and Random Forest Classifier Applied to Sentinel-2 and
Landsat-8 Images: A Case Study of Garhi Chandan Pakistan,
IJGI(12), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Kacic, P.[Patrick],
Thonfeld, F.[Frank],
Gessner, U.[Ursula],
Kuenzer, C.[Claudia],
Forest Structure Characterization in Germany: Novel Products and
Analysis Based on GEDI, Sentinel-1 and Sentinel-2 Data,
RS(15), No. 8, 2023, pp. 1969.
DOI Link
2305
BibRef
Sa, R.[Rula],
Fan, W.[Wenyi],
Estimation of Forest Parameters in Boreal Artificial Coniferous
Forests Using Landsat 8 and Sentinel-2A,
RS(15), No. 14, 2023, pp. 3605.
DOI Link
2307
BibRef
Guisao-Betancur, A.[Ana],
Déniz, L.G.[Luis Gómez],
Marulanda-Tobón, A.[Alejandro],
Forest/Nonforest Segmentation Using Sentinel-1 and -2 Data Fusion in
the Bajo Cauca Subregion in Colombia,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link
2401
BibRef
Bo, W.J.[Wen-Jing],
Xiao, Y.[Yi],
Sun, J.Z.[Jia-Zhe],
Cao, Y.[Yun],
Chen, L.[Le],
Comparative Analysis of Two Methods for Valuing Local Cooling Effect
of Forests in Inner Mongolia Plateau,
RS(16), No. 23, 2024, pp. 4424.
DOI Link
2501
BibRef
Keskes, M.I.[Mohamed Islam],
Mohamed, A.H.[Aya Hamed],
Borz, S.A.[Stelian Alexandru],
Nita, M.D.[Mihai Daniel],
Improving National Forest Mapping in Romania Using Machine Learning
and Sentinel-2 Multispectral Imagery,
RS(17), No. 4, 2025, pp. 715.
DOI Link
2502
BibRef
Zhao, W.Q.[Wen-Qiong],
Zhong, X.Y.[Xin-Yan],
Li, X.D.[Xiao-Dong],
Wang, X.[Xia],
Du, Y.[Yun],
Zhang, Y.H.[Yi-Hang],
Automatic Mapping of 10 m Tropical Evergreen Forest Cover in Central
African Republic with Sentinel-2 Dynamic World Dataset,
RS(17), No. 4, 2025, pp. 722.
DOI Link
2502
BibRef
Luo, J.C.[Jing-Cheng],
Chen, Q.[Qingda],
Wu, Z.C.[Zhi-Chao],
Gao, T.[Tian],
Zhou, L.[Li],
Deng, J.J.[Jiao-Jiao],
Zhang, Y.S.[Yan-Song],
Yu, D.[Dapao],
Quantifying Broad-Leaved Korean Pine Forest Structure Using
Terrestrial Laser Scanning (TLS), Changbai Mountain, China,
RS(17), No. 24, 2025, pp. 4049.
DOI Link
2512
BibRef
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Tropical Forest Analysis .