Rubber Trees, Plantations, Analysis

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See also Palm Trees, Oil Palms, Trees as Crops.

Dong, J.W.[Jin-Wei], Xiao, X.M.[Xiang-Ming], Sheldon, S.[Sage], Biradar, C.[Chandrashekhar], Xie, G.S.[Gui-Shui],
Mapping tropical forests and rubber plantations in complex landscapes by integrating PALSAR and MODIS imagery,
PandRS(74), No. 1, November 2012, pp. 20-33.
Elsevier DOI 1212
PALSAR; MODIS; Evergreen forest; Deciduous forest; Rubber plantation; Hainan BibRef

Senf, C.[Cornelius], Pflugmacher, D.[Dirk], van der Linden, S.[Sebastian], Hostert, P.[Patrick],
Mapping Rubber Plantations and Natural Forests in Xishuangbanna (Southwest China) Using Multi-Spectral Phenological Metrics from MODIS Time Series,
RS(5), No. 6, 2013, pp. 2795-2812.
DOI Link 1307

Chen, B.Q.[Bang-Qian], Wu, Z.X.[Zhi-Xiang], Wang, J.[Jikun], Dong, J.W.[Jin-Wei], Guan, L.M.[Li-Ming], Chen, J.M.[Jun-Ming], Yang, K.[Kai], Xie, G.S.[Gui-Shui],
Spatio-temporal prediction of leaf area index of rubber plantation using HJ-1A/1B CCD images and recurrent neural network,
PandRS(102), No. 1, 2015, pp. 148-160.
Elsevier DOI 1503
Leaf area index BibRef

Fan, H.[Hui], Fu, X.H.[Xiao-Hua], Zhang, Z.[Zheng], Wu, Q.[Qiong],
Phenology-Based Vegetation Index Differencing for Mapping of Rubber Plantations Using Landsat OLI Data,
RS(7), No. 5, 2015, pp. 6041-6058.
DOI Link 1506

Kou, W.[Weili], Xiao, X.M.[Xiang-Ming], Dong, J.W.[Jin-Wei], Gan, S.[Shu], Zhai, D.L.[De-Li], Zhang, G.[Geli], Qin, Y.W.[Yuan-Wei], Li, L.[Li],
Mapping Deciduous Rubber Plantation Areas and Stand Ages with PALSAR and Landsat Images,
RS(7), No. 1, 2015, pp. 1048-1073.
DOI Link 1502

Ye, S.[Su], Rogan, J.[John], Sangermano, F.[Florencia],
Monitoring rubber plantation expansion using Landsat data time series and a Shapelet-based approach,
PandRS(136), 2018, pp. 134-143.
Elsevier DOI 1802
Time series, Shapelet, Rubber plantations, Landsat, Forest mapping BibRef

Zhai, D.L.[De-Li], Dong, J.[Jinwei], Cadisch, G.[Georg], Wang, M.C.[Ming-Cheng], Kou, W.L.[Wei-Li], Xu, J.C.[Jian-Chu], Xiao, X.M.[Xiang-Ming], Abbas, S.[Sawaid],
Comparison of Pixel- and Object-Based Approaches in Phenology-Based Rubber Plantation Mapping in Fragmented Landscapes,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802

Chen, B.Q.[Bang-Qian], Xiao, X.M.[Xiang-Ming], Wu, Z.X.[Zhi-Xiang], Yun, T.[Tin], Kou, W.[Weili], Ye, H.C.[Hui-Chun], Lin, Q.H.[Qing-Huo], Doughty, R.[Russell], Dong, J.[Jinwei], Ma, J.[Jun], Luo, W.[Wei], Xie, G.S.[Gui-Shui], Cao, J.H.[Jian-Hua],
Identifying Establishment Year and Pre-Conversion Land Cover of Rubber Plantations on Hainan Island, China Using Landsat Data during 1987-2015,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809

Chen, G.[Gang], Thill, J.C.[Jean-Claude], Anantsuksomsri, S.[Sutee], Tontisirin, N.[Nij], Tao, R.[Ran],
Stand age estimation of rubber (Hevea brasiliensis) plantations using an integrated pixel- and object-based tree growth model and annual Landsat time series,
PandRS(144), 2018, pp. 94-104.
Elsevier DOI 1809
Stand age estimation, Rubber plantation, Geographic object-based image analysis, Landsat time series, Tree growth model BibRef

Gao, S.P.[Shu-Peng], Liu, X.L.[Xiao-Long], Bo, Y.C.[Yan-Chen], Shi, Z.T.[Zheng-Tao], Zhou, H.M.[Hong-Min],
Rubber Identification Based on Blended High Spatio-Temporal Resolution Optical Remote Sensing Data: A Case Study in Xishuangbanna,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
Rubber trees. BibRef

Yun, T.[Ting], Jiang, K.[Kang], Hou, H.[Hu], An, F.[Feng], Chen, B.Q.[Bang-Qian], Jiang, A.[Anna], Li, W.Z.[Wei-Zheng], Xue, L.F.[Lian-Feng],
Rubber Tree Crown Segmentation and Property Retrieval Using Ground-Based Mobile LiDAR after Natural Disturbances,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905

Huang, Z.X.[Zhi-Xian], Huang, X.[Xiao], Fan, J.C.[Jiang-Chuan], Eichhorn, M.[Markus], An, F.[Feng], Chen, B.Q.[Bang-Qian], Cao, L.[Lin], Zhu, Z.L.[Zheng-Li], Yun, T.[Ting],
Retrieval of Aerodynamic Parameters in Rubber Tree Forests Based on the Computer Simulation Technique and Terrestrial Laser Scanning Data,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004

Chen, B.Q.[Bang-Qian], Yun, T.[Tin], Ma, J.[Jun], Kou, W.[Weili], Li, H.L.[Hai-Liang], Yang, C.[Chuan], Xiao, X.M.[Xiang-Ming], Zhang, X.[Xian], Sun, R.[Rui], Xie, G.S.[Gui-Shui], Wu, Z.X.[Zhi-Xiang],
High-Precision Stand Age Data Facilitate the Estimation of Rubber Plantation Biomass: A Case Study of Hainan Island, China,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012

Azizan, F.A.[Fathin Ayuni], Kiloes, A.M.[Adhitya Marendra], Astuti, I.S.[Ike Sari], Aziz, A.A.[Ammar Abdul],
Application of Optical Remote Sensing in Rubber Plantations: A Systematic Review,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102

Amaral, C.H., Almeida, T.I.R., Quitério, G.C.M., Alves, M.N., de Souza Filho, C.R.[Carlos Roberto],
Change Analysis of the Spectral Characteristics of Rubber Trees at Canopy and Leaf Scales During The Brazilian Autumn,
DOI Link 1209

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Palm Trees, Oil Palms, Trees as Crops .

Last update:May 2, 2021 at 12:04:43