22.5.11.9 Eucalypt Trees, Eucalyptus

Chapter Contents (Back)
. 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
BibRef

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
BibRef

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
BibRef

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
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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


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 Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Mangrove Analysis, Swamps, Coasts, Trees .


Last update:Feb 21, 2021 at 18:03:41