24.4.13.11 Eucalypt Trees, Eucalyptus

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Eucalyptus. Forest. Eucalyptus are planted everywhere, grow fast, originally from Australia.

Gama, F., Dos Santos, J.R., Mura, J.C.,
Eucalyptus Biomass and Volume Estimation Using Interferometric and Polarimetric SAR Data,
RS(2), No. 4, April 2010, pp. 939-956.
DOI Link 1203
BibRef

Rito Goncalves, G., Gomes Pereira, L.,
A Thorough Accuracy Estimation of DTM Produced From Airborne Full-Waveform Laser Scanning Data of Unmanaged Eucalypt Plantations,
GeoRS(50), No. 8, August 2012, pp. 3256-3266.
IEEE DOI 1208
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Le Maire, G., Marsden, C., Nouvellon, Y., Stape, J., Ponzoni, F.,
Calibration of a Species-Specific Spectral Vegetation Index for Leaf Area Index (LAI) Monitoring: Example with MODIS Reflectance Time-Series on Eucalyptus Plantations,
RS(4), No. 12, December 2012, pp. 3766-3780.
DOI Link 1211
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Jaskierniak, D.[Dominik], Kuczera, G.[George], Benyon, R.[Richard], Wallace, L.[Luke],
Using Tree Detection Algorithms to Predict Stand Sapwood Area, Basal Area and Stocking Density in Eucalyptus regnans Forest,
RS(7), No. 6, 2015, pp. 7298.
DOI Link 1507
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Qiao, H.L.[Hai-Lang], Wu, M.Q.[Ming-Quan], Shakir, M.[Muhammad], Wang, L.[Li], Kang, J.[Jun], Niu, Z.[Zheng],
Classification of Small-Scale Eucalyptus Plantations Based on NDVI Time Series Obtained from Multiple High-Resolution Datasets,
RS(8), No. 2, 2016, pp. 117.
DOI Link 1603
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Verma, N.K.[Niva Kiran], Lamb, D.W.[David W.], Reid, N.[Nick], Wilson, B.[Brian],
Comparison of Canopy Volume Measurements of Scattered Eucalypt Farm Trees Derived from High Spatial Resolution Imagery and LiDAR,
RS(8), No. 5, 2016, pp. 388.
DOI Link 1606
BibRef

Dube, T.[Timothy], Sibanda, M.[Mbulisi], Shoko, C.[Cletah], Mutanga, O.[Onisimo],
Stand-volume estimation from multi-source data for coppiced and high forest Eucalyptus spp. silvicultural systems in KwaZulu-Natal, South Africa,
PandRS(132), No. 1, 2017, pp. 162-169.
Elsevier DOI 1710
Ecosystem, modelling BibRef

Maes, W.H.[Wouter H.], Huete, A.R.[Alfredo R.], Avino, M.[Michele], Boer, M.M.[Matthias M.], Dehaan, R.[Remy], Pendall, E.[Elise], Griebel, A.[Anne], Steppe, K.[Kathy],
Can UAV-Based Infrared Thermography Be Used to Study Plant-Parasite Interactions between Mistletoe and Eucalypt Trees?,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
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Kumbula, S.T.[Samuel Takudzwa], Mafongoya, P.[Paramu], Peerbhay, K.Y.[Kabir Yunus], Lottering, R.T.[Romano Trent], Ismail, R.[Riyad],
Using Sentinel-2 Multispectral Images to Map the Occurrence of the Cossid Moth (Coryphodema tristis) in Eucalyptus Nitens Plantations of Mpumalanga, South Africa,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
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Aquino de Souza, G.S.[Guilherme Silverio], Soares, V.P.[Vicente Paulo], Leite, H.G.[Helio Garcia], Gleriani, J.M.[José Marinaldo], Hummel do Amaral, C.[Cibele], Ferraz, A.S.[Antônio Santana], de Freitas Silveira, M.V.[Marcus Vinicius], Costa dos Santos, F.[Flávio], Velloso, S.G.S.[Sidney Geraldo Silveira], Domingues, G.F.[Getulio Fonseca], Silva, S.[Simone],
Multi-sensor prediction of Eucalyptus stand volume: A support vector approach,
PandRS(156), 2019, pp. 135-146.
Elsevier DOI 1909
ALOS AVNIR-2, ALOS PALSAR, Machine learning, Monte Carlo cross-validation, Sampling intensity, L-band, Synthetic aperture radar BibRef

Karna, Y.K.[Yogendra K.], Penman, T.D.[Trent D.], Aponte, C.[Cristina], Bennett, L.T.[Lauren T.],
Assessing Legacy Effects of Wildfires on the Crown Structure of Fire-Tolerant Eucalypt Trees Using Airborne LiDAR Data,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
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Deng, X.P.[Xin-Ping], Guo, S.X.[Shan-Xin], Sun, L.[Luyi], Chen, J.S.[Jin-Song],
Identification of Short-Rotation Eucalyptus Plantation at Large Scale Using Multi-Satellite Imageries and Cloud Computing Platform,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
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Duarte, A.[André], Acevedo-Muñoz, L.[Luis], Gonçalves, C.I.[Catarina I.], Mota, L.[Luís], Sarmento, A.[Alexandre], Silva, M.[Margarida], Fabres, S.[Sérgio], Borralho, N.[Nuno], Valente, C.[Carlos],
Detection of Longhorned Borer Attack and Assessment in Eucalyptus Plantations Using UAV Imagery,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
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Leite, R.V.[Rodrigo Vieira], Silva, C.A.[Carlos Alberto], Mohan, M.[Midhun], Cardil, A.[Adrián], Alvesf de Almeida, D.R.[Danilo Roberti], de Pádua Chaves e Carvalho, S.[Samuel], Jaafar, W.S.W.M.[Wan Shafrina Wan Mohd], Guerra-Hernández, J.[Juan], Weiskittel, A.[Aaron], Hudak, A.T.[Andrew T.], Broadbent, E.N.[Eben N.], Prata, G.[Gabriel], Valbuena, R.[Ruben], Leite, H.G.[Hélio Garcia], Taquetti, M.F.[Mariana Futia], Soares, A.A.V.[Alvaro Augusto Vieira], Scolforo, H.F.[Henrique Ferraço], do Amaral, C.H.[Cibele Hummel], Corte, A.P.D.[Ana Paula Dalla], Klauberg, C.[Carine],
Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
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Hirigoyen, A.[Andrés], Varo-Martinez, M.A.[M. Angeles], Rachid-Casnati, C.[Cecilia], Franco, J.[Jorge], Navarro-Cerrillo, R.M.[Rafael M.],
Stand Characterization of Eucalyptus spp. Plantations in Uruguay Using Airborne Lidar Scanner Technology,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
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Forstmaier, A.[Andreas], Shekhar, A.[Ankit], Chen, J.[Jia],
Mapping of Eucalyptus in Natura 2000 Areas Using Sentinel 2 Imagery and Artificial Neural Networks,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
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da Silva, V.S.[Vanessa Sousa], Silva, C.A.[Carlos Alberto], Mohan, M.[Midhun], Cardil, A.[Adrián], Rex, F.E.[Franciel Eduardo], Loureiro, G.H.[Gabrielle Hambrecht], Alves de Almeida, D.R.[Danilo Roberti], Broadbent, E.N.[Eben North], Gorgens, E.B.[Eric Bastos], Corte, A.P.D.[Ana Paula Dalla], Silva, E.A.[Emanuel Araújo], Valbuena, R.[Rubén], Klauberg, C.[Carine],
Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
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Leite, R.V.[Rodrigo Vieira], do Amaral, C.H.[Cibele Hummel], de Paula Pires, R.[Raul], Silva, C.A.[Carlos Alberto], Soares, C.P.B.[Carlos Pedro Boechat], Macedo, R.P.[Renata Paulo], Lopes da Silva, A.A.[Antonilmar Araújo], Broadbent, E.N.[Eben North], Mohan, M.[Midhun], Leite, H.G.[Hélio Garcia],
Estimating Stem Volume in Eucalyptus Plantations Using Airborne LiDAR: A Comparison of Area- and Individual Tree-Based Approaches,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Picos, J.[Juan], Bastos, G.[Guillermo], Míguez, D.[Daniel], Alonso, L.[Laura], Armesto, J.[Julia],
Individual Tree Detection in a Eucalyptus Plantation Using Unmanned Aerial Vehicle (UAV)-LiDAR,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Baranowski, K.[Kelsee], Taylor, T.[Teairah], Lambert, B.[Brian], Bharti, N.[Nita],
Application of Reflectance Ratios on High-Resolution Satellite Imagery to Remotely Identify Eucalypt Vegetation,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Jaskierniak, D., Lucieer, A., Kuczera, G., Turner, D., Lane, P.N.J., Benyon, R.G., Haydon, S.,
Individual tree detection and crown delineation from Unmanned Aircraft System (UAS) LiDAR in structurally complex mixed species eucalypt forests,
PandRS(171), 2021, pp. 171-187.
Elsevier DOI 2012
Stocking density, Eucalyptus, Tree detection, Canopy segmentation, PCA, Watershed, Voxel, ITD, ITCD, UAS, UAV, RPAS BibRef

Khan, A.[Asim], Asim, W.[Warda], Ulhaq, A.[Anwaar], Ghazi, B.[Bilal], Robinson, R.W.[Randall W.],
Health Assessment of Eucalyptus Trees Using Siamese Network from Google Street and Ground Truth Images,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Almeida, A.[André], Gonçalves, F.[Fabio], Silva, G.[Gilson], Mendonça, A.[Adriano], Gonzaga, M.[Maria], Silva, J.[Jeferson], Souza, R.[Rodolfo], Leite, I.[Igor], Neves, K.[Karina], Boeno, M.[Marcus], Sousa, B.[Braulio],
Individual Tree Detection and Qualitative Inventory of a Eucalyptus sp. Stand Using UAV Photogrammetry Data,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Lamsal, K.[Krishna], Malenovský, Z.[Zbynek], Woodgate, W.[William], Waterman, M.[Melinda], Brodribb, T.J.[Timothy J.], Aryal, J.[Jagannath],
Spectral Retrieval of Eucalypt Leaf Biochemical Traits by Inversion of the Fluspect-Cx Model,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
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Liao, L.H.[Li-Hua], Cao, L.[Lin], Xie, Y.[Yaojian], Luo, J.Z.[Jian-Zhong], Wang, G.[Guibin],
Phenotypic Traits Extraction and Genetic Characteristics Assessment of Eucalyptus Trials Based on UAV-Borne LiDAR and RGB Images,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
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Zhao, H.[Hengwei], Zhong, Y.F.[Yan-Fei], Wang, X.Y.[Xin-Yu], Hu, X.[Xin], Luo, C.[Chang], Boitt, M.[Mark], Piiroinen, R.[Rami], Zhang, L.P.[Liang-Pei], Heiskanen, J.[Janne], Pellikka, P.[Petri],
Mapping the distribution of invasive tree species using deep one-class classification in the tropical montane landscape of Kenya,
PandRS(187), 2022, pp. 328-344.
Elsevier DOI 2205
Invasive tree species, Eucalyptus, Black wattle, Hyperspectral imagery, Africa, One-class classification, Convolutional neural network BibRef

Liu, Z.H.[Zhao-Hua], Ye, Z.L.[Zi-Lin], Xu, X.D.[Xiao-Dong], Lin, H.[Hui], Zhang, T.C.[Ting-Chen], Long, J.P.[Jiang-Ping],
Mapping Forest Stock Volume Based on Growth Characteristics of Crown Using Multi-Temporal Landsat 8 OLI and ZY-3 Stereo Images in Planted Eucalyptus Forest,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Zhang, Y.[Yi], Lu, D.S.[Deng-Sheng], Jiang, X.[Xiandie], Li, Y.H.[Yun-He], Li, D.Q.[Deng-Qiu],
Forest Structure Simulation of Eucalyptus Plantation Using Remote-Sensing-Based Forest Age Data and 3-PG Model,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Molla, G.[Gashaw], Addisie, M.B.[Meseret B.], Ayele, G.T.[Gebiaw T.],
Expansion of Eucalyptus Plantation on Fertile Cultivated Lands in the North-Western Highlands of Ethiopia,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Tao, S.[Shiyue], Xie, Y.J.[Yao-Jian], Luo, J.Z.[Jian-Zhong], Wang, J.Z.[Jian-Zhong], Zhang, L.[Lei], Wang, G.[Guibin], Cao, L.[Lin],
Superior Clone Selection in a Eucalyptus Trial Using Forest Phenotyping Technology via UAV-Based DAP Point Clouds and Multispectral Images,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Winsen, M.[Megan], Hamilton, G.[Grant],
A Comparison of UAV-Derived Dense Point Clouds Using LiDAR and NIR Photogrammetry in an Australian Eucalypt Forest,
RS(15), No. 6, 2023, pp. 1694.
DOI Link 2304
BibRef

Silva-de Gregori, G.[Gabriella], de Souza-Loureiro, E.[Elisângela], Pessoa, L.G.A.[Luis Gustavo Amorim], Brito-de Azevedo, G.[Gileno], de Oliveira-Sousa-Azevedo, G.T.[Glauce Taís], Santana, D.C.[Dthenifer Cordeiro], de Oliveira, I.C.[Izabela Cristina], Gouveia-de Oliveira, J.L.[João Lucas], Teodoro, L.P.R.[Larissa Pereira Ribeiro], Baio, F.H.R.[Fábio Henrique Rojo], da Silva-Junior, C.A.[Carlos Antonio], Teodoro, P.E.[Paulo Eduardo], Shiratsuchi, L.S.[Luciano Shozo],
Machine Learning in the Hyperspectral Classification of Glycaspis brimblecombei (Hemiptera Psyllidae) Attack Severity in Eucalyptus,
RS(15), No. 24, 2023, pp. 5657.
DOI Link 2401
BibRef

Alonso, L., Rodríguez-Dorna, A., Picos, J., Costas, F., Armesto, J.,
Automatic differentiation of Eucalyptus species through Sentinel-2 images, Worldview-3 images and LiDAR data,
PandRS(207), 2024, pp. 264-281.
Elsevier DOI 2401
Forest, LiDAR, Sentinel-2, Worldview, Textures BibRef

Li, Y.[Yiman], Liu, X.N.[Xiang-Nan], Liu, M.L.[Mei-Ling], Wu, L.[Ling], Zhu, L.H.[Li-Hong], Huang, Z.[Zhi], Xue, X.J.[Xiao-Jing], Tian, L.[Lingwen],
Historical Dynamic Mapping of Eucalyptus Plantations in Guangxi during 1990-2019 Based on Sliding-Time-Window Change Detection Using Dense Landsat Time-Series Data,
RS(16), No. 5, 2024, pp. 744.
DOI Link 2403
BibRef


Whiteside, T.[Tim], Taplin, P.[Pascale],
Semi-Automated Identification and Extraction of Callitris Intratropica from Eucalypt Dominant Savanna,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Mangrove Analysis, Swamps, Coasts, Trees .


Last update:Mar 16, 2024 at 20:36:19