24.4.13.7 Orchards, Plantations, Trees as Crops

Chapter Contents (Back)
Orchards.
See also Rubber Trees, Plantations, Analysis.
See also Eucalypt Trees, Eucalyptus.
See also Olive Trees, Orchards, Diseases.
See also Citrus Trees, Orchards, Diseases.
See also Palm Trees, Oil Palms, Trees as Crops.
See also Coffee Trees, Trees as Crops, Tea Trees.

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Monitoring the Foliar Nutrients Status of Mango Using Spectroscopy-Based Spectral Indices and PLSR-Combined Machine Learning Models,
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DOI Link 2103
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Integrating Spectral and Textural Information for Monitoring the Growth of Pear Trees Using Optical Images from the UAV Platform,
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DOI Link 2105
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Jabs-Sobocinska, Z.[Zofia], Affek, A.N.[Andrzej N.], Ewiak, I.[Ireneusz], Nita, M.D.[Mihai Daniel],
Mapping Mature Post-Agricultural Forests in the Polish Eastern Carpathians with Archival Remote Sensing Data,
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DOI Link 2105
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Yang, Z.Q.[Zhi-Qi], Dong, J.[Jinwei], Kou, W.L.[Wei-Li], Qin, Y.W.[Yuan-Wei], Xiao, X.M.[Xiang-Ming],
Mapping Panax Notoginseng Plantations by Using an Integrated Pixel- and Object-Based (IPOB) Approach and ZY-3 Imagery,
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DOI Link 2106
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Aeberli, A.[Aaron], Johansen, K.[Kasper], Robson, A.[Andrew], Lamb, D.W.[David W.], Phinn, S.[Stuart],
Detection of Banana Plants Using Multi-Temporal Multispectral UAV Imagery,
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DOI Link 2106
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Aeberli, A.[Aaron], Phinn, S.[Stuart], Johansen, K.[Kasper], Robson, A.[Andrew], Lamb, D.W.[David W.],
Characterisation of Banana Plant Growth Using High-Spatiotemporal-Resolution Multispectral UAV Imagery,
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DOI Link 2302
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Gorgoso-Varela, J.J.[J. Javier], Ponce, R.A.[Rafael Alonso], Rodríguez-Puerta, F.[Francisco],
Modeling Diameter Distributions with Six Probability Density Functions in Pinus halepensis Mill. Plantations Using Low-Density Airborne Laser Scanning Data in Aragón (Northeast Spain),
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
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Park, S.Y.[Su-Young], Ryu, D.[Dongryeol], Fuentes, S.[Sigfredo], Chung, H.[Hoam], O'Connell, M.[Mark], Kim, J.C.[Jun-Chul],
Dependence of CWSI-Based Plant Water Stress Estimation with Diurnal Acquisition Times in a Nectarine Orchard,
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DOI Link 2107
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Lian, Y.N.[Yi-Ning], Feng, Z.K.[Zhong-Ke], Huai, Y.J.[Yong-Jian], Lu, H.[Hao], Chen, S.L.[Shi-Lin], Li, N.[Niwen],
Terrestrial Videogrammetry for Deriving Key Forest Inventory Data: A Case Study in Plantation,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
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Applicability of Smoothing Techniques in Generation of Phenological Metrics of Tectona grandis L. Using NDVI Time Series Data,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
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Identification of Silvicultural Practices in Mediterranean Forests Integrating Landsat Time Series and a Single Coverage of ALS Data,
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DOI Link 2109
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Deep Learning-Based Instance Segmentation Method of Litchi Canopy from UAV-Acquired Images,
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DOI Link 2110
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Guo, X.Z.[Xu-Zhan], Liu, Q.W.[Qing-Wang], Sharma, R.P.[Ram P.], Chen, Q.[Qiao], Ye, Q.L.[Qiao-Lin], Tang, S.Z.[Shou-Zheng], Fu, L.Y.[Li-Yong],
Tree Recognition on the Plantation Using UAV Images with Ultrahigh Spatial Resolution in a Complex Environment,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
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Kilwenge, R.[Regina], Adewopo, J.[Julius], Sun, Z.L.[Zhan-Li], Schut, M.[Marc],
UAV-Based Mapping of Banana Land Area for Village-Level Decision-Support in Rwanda,
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DOI Link 2112
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Chung, C.H.[Chih-Hsin], Wang, J.[Jonathan], Deng, S.L.[Shu-Lin], Huang, C.Y.[Cho-Ying],
Analysis of Canopy Gaps of Coastal Broadleaf Forest Plantations in Northeast Taiwan Using UAV Lidar and the Weibull Distribution,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
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Yin, S.Y.[Shi-Yun], Zhou, K.[Kai], Cao, L.[Lin], Shen, X.[Xin],
Estimating the Horizontal and Vertical Distributions of Pigments in Canopies of Ginkgo Plantation Based on UAV-Borne LiDAR, Hyperspectral Data by Coupling PROSAIL Model,
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DOI Link 2202
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Meng, Y.Y.[Yuan-Yuan], Wei, C.Y.[Cai-Yong], Guo, Y.P.[Yan-Pei], Tang, Z.Y.[Zhi-Yao],
A Planted Forest Mapping Method Based on Long-Term Change Trend Features Derived from Dense Landsat Time Series in an Ecological Restoration Region,
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DOI Link 2202
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Zhang, Y.M.[You-Ming], Ta, N.[Na], Guo, S.[Song], Chen, Q.[Qian], Zhao, L.C.[Long-Cai], Li, F.L.[Fen-Ling], Chang, Q.R.[Qing-Rui],
Combining Spectral and Textural Information from UAV RGB Images for Leaf Area Index Monitoring in Kiwifruit Orchard,
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DOI Link 2203
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Zhang, S.M.[Shi-Min], Li, X.H.[Xiu-Hua], Ba, Y.X.[Yu-Xuan], Lyu, X.G.[Xue-Gang], Zhang, M.Q.[Mu-Qing], Li, M.Z.[Min-Zan],
Banana Fusarium Wilt Disease Detection by Supervised and Unsupervised Methods from UAV-Based Multispectral Imagery,
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DOI Link 2203
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Jin, J.[Jia], Huang, N.[Ning], Huang, Y.Q.[Yu-Qing], Yan, Y.[Yan], Zhao, X.[Xin], Wu, M.J.[Meng-Juan],
Proximal Remote Sensing-Based Vegetation Indices for Monitoring Mango Tree Stem Sap Flux Density,
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DOI Link 2204
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Chandrasekaran, A.[Aishwarya], Shao, G.[Guofan], Fei, S.[Songlin], Miller, Z.[Zachary], Hupy, J.[Joseph],
Automated Inventory of Broadleaf Tree Plantations with UAS Imagery,
RS(14), No. 8, 2022, pp. xx-yy.
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Luo, H.X.[Hong-Xia], Li, M.[Maofen], Dai, S.P.[Sheng-Pei], Li, H.L.[Hai-Liang], Li, Y.P.[Yu-Ping], Hu, Y.Y.[Ying-Ying], Zheng, Q.[Qian], Yu, X.[Xuan], Fang, J.[Jihua],
Combinations of Feature Selection and Machine Learning Algorithms for Object-Oriented Betel Palms and Mango Plantations Classification Based on Gaofen-2 Imagery,
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DOI Link 2205
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Integrating UAV-SfM and Airborne Lidar Point Cloud Data to Plantation Forest Feature Extraction,
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Jiao, S.H.[Shu-Hui], Hu, D.X.[Ding-Xiang], Shen, Z.F.[Zhan-Feng], Wang, H.Y.[Hao-Yu], Dong, W.[Wen], Guo, Y.F.[Yi-Fei], Li, S.[Shuo], Lei, Y.T.[Ya-Ting], Kou, W.Q.[Wen-Qi], Wang, J.[Jian], He, H.M.[Hui-Mei], Fang, Y.M.[Yan-Ming],
Parcel-Level Mapping of Horticultural Crop Orchards in Complex Mountain Areas Using VHR and Time-Series Images,
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Baders, E.[Endijs], Romans, E.[Edžus], Desaine, I.[Iveta], Krišans, O.[Oskars], Seipulis, A.[Andris], Donis, J.[Janis], Jansons, A.[Aris],
An Integration of Linear Model and 'Random Forest' Techniques for Prediction of Norway Spruce Vitality: A Case Study of the Hemiboreal Forest, Latvia,
RS(14), No. 9, 2022, pp. xx-yy.
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Catalão, J.[João], Navarro, A.[Ana], Calvão, J.[João],
Mapping Cork Oak Mortality Using Multitemporal High-Resolution Satellite Imagery,
RS(14), No. 12, 2022, pp. xx-yy.
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Hamrouni, Y.[Yousra], Paillassa, E.[Eric], Chéret, V.[Véronique], Monteil, C.[Claude], Sheeren, D.[David],
Sentinel-2 Poplar Index for Operational Mapping of Poplar Plantations over Large Areas,
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Impact of Training Set Configurations for Differentiating Plantation Forest Genera with Sentinel-2 Imagery and Machine Learning,
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Rapid Target Detection of Fruit Trees Using UAV Imaging and Improved Light YOLOv4 Algorithm,
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DOI Link 2209
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Zhou, K.[Kai], Cao, L.[Lin], Yin, S.[Shiyun], Wang, G.[Guibin], Cao, F.[Fuliang],
An advanced bidirectional reflectance factor (BRF) spectral approach for estimating flavonoid content in leaves of Ginkgo plantations,
PandRS(193), 2022, pp. 1-16.
Elsevier DOI 2210
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Landsat Data Based Prediction of Loblolly Pine Plantation Attributes in Western Gulf Region, USA,
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Hu, Y.[Yue], Wang, Z.[Zhuna], Zhang, Y.[Yahao], Dian, Y.Y.[Yuan-Yong],
Logging Pattern Detection by Multispectral Remote Sensing Imagery in North Subtropical Plantation Forests,
RS(14), No. 19, 2022, pp. xx-yy.
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Laurin, G.V.[Gaia Vaglio], Mattioli, W.[Walter], Innocenti, S.[Simone], Lombardo, E.[Emanuela], Valentini, R.[Riccardo], Puletti, N.[Nicola],
Potential of ALOS2 Polarimetric Imagery to Support Management of Poplar Plantations in Northern Italy,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Alabi, T.R.[Tunrayo R.], Adewopo, J.[Julius], Duke, O.P.[Ojo Patrick], Kumar, P.L.[P. Lava],
Banana Mapping in Heterogenous Smallholder Farming Systems Using High-Resolution Remote Sensing Imagery and Machine Learning Models with Implications for Banana Bunchy Top Disease Surveillance,
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DOI Link 2211
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Liu, L.Q.[Lin-Qi], Gao, X.[Xiang], Cao, B.[Binhua], Ba, Y.[Yinji], Chen, J.L.[Jing-Ling], Cheng, X.[Xiangfen], Zhou, Y.[Yu], Huang, H.[Hui], Zhang, J.S.[Jin-Song],
Comparing Different Light Use Efficiency Models to Estimate the Gross Primary Productivity of a Cork Oak Plantation in Northern China,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
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Chinembiri, T.S.[Tsikai Solomon], Mutanga, O.[Onisimo], Dube, T.[Timothy],
Landsat-8 and Sentinel-2 Based Prediction of Forest Plantation C Stock Using Spatially Varying Coefficient Bayesian Hierarchical Models,
RS(14), No. 22, 2022, pp. xx-yy.
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Giora, D.[Domenico], Assirelli, A.[Alberto], Cappellozza, S.[Silvia], Sartori, L.[Luigi], Saviane, A.[Alessio], Marinello, F.[Francesco], Martínez-Casasnovas, J.A.[José A.],
Remote Sensing Imaging as a Tool to Support Mulberry Cultivation for Silk Production,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Vélez, S.[Sergio], Vacas, R.[Rubén], Martín, H.[Hugo], Ruano-Rosa, D.[David], Álvarez, S.[Sara],
A Novel Technique Using Planar Area and Ground Shadows Calculated from UAV RGB Imagery to Estimate Pistachio Tree (Pistacia vera L.) Canopy Volume,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
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Rahman, M.M.[Muhammad Moshiur], Robson, A.[Andrew], Brinkhoff, J.[James],
Potential of Time-Series Sentinel 2 Data for Monitoring Avocado Crop Phenology,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
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Xue, X.J.[Xiao-Jing], Wei, C.Y.[Cai-Yong], Yang, Q.[Qin], Tian, L.[Lingwen], Zhu, L.H.[Li-Hong], Meng, Y.Y.[Yuan-Yuan], Liu, X.N.[Xiang-Nan],
An Object- and Shapelet-Based Method for Mapping Planted Forest Dynamics from Landsat Time Series,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Teng, P.[Poching], Zhang, Y.[Yu], Yamane, T.[Takayoshi], Kogoshi, M.[Masayuki], Yoshida, T.[Takeshi], Ota, T.[Tomohiko], Nakagawa, J.[Junichi],
Accuracy Evaluation and Branch Detection Method of 3D Modeling Using Backpack 3D Lidar SLAM and UAV-SfM for Peach Trees during the Pruning Period in Winter,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
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Vinci, A.[Alessandra], Brigante, R.[Raffaella], Traini, C.[Chiara], Farinelli, D.[Daniela],
Geometrical Characterization of Hazelnut Trees in an Intensive Orchard by an Unmanned Aerial Vehicle (UAV) for Precision Agriculture Applications,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
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Zhu, S.[Shidan], Cui, N.[Ningbo], Zhou, J.[Ji], Xue, J.Y.[Jing-Yuan], Wang, Z.H.[Zhi-Hui], Wu, Z.[Zongjun], Wang, M.J.[Ming-Jun], Deng, Q.L.[Qing-Ling],
Digital Mapping of Root-Zone Soil Moisture Using UAV-Based Multispectral Data in a Kiwifruit Orchard of Northwest China,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Katz, L.[Livia], Ben-Gal, A.[Alon], Litaor, M.I.[M. Iggy], Naor, A.[Amos], Peeters, A.[Aviva], Goldshtein, E.[Eitan], Lidor, G.[Guy], Keisar, O.[Ohaliav], Marzuk, S.[Stav], Alchanatis, V.[Victor], Cohen, Y.[Yafit],
How Sensitive Is Thermal Image-Based Orchard Water Status Estimation to Canopy Extraction Quality?,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
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Raman, M.G.[Mugilan Govindasamy], Marzougui, A.[Afef], Teh, S.L.[Soon Li], York, Z.B.[Zara B.], Evans, K.M.[Kate M.], Sankaran, S.[Sindhuja],
Rapid Assessment of Architectural Traits in Pear Rootstock Breeding Program Using Remote Sensing Techniques,
RS(15), No. 6, 2023, pp. 1483.
DOI Link 2304
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Lara-Gómez, M.Á.[Miguel Ángel], Navarro-Cerrillo, R.M.[Rafael M.], Rumbao, I.C.[Inmaculada Clavero], Palacios-Rodríguez, G.[Guillermo],
Comparison of Errors Produced by ABA and ITC Methods for the Estimation of Forest Inventory Attributes at Stand and Tree Level in Pinus radiata Plantations in Chile,
RS(15), No. 6, 2023, pp. 1544.
DOI Link 2304
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Peng, Y.[Yan], He, G.J.[Guo-Jin], Wang, G.Z.[Gui-Zhou], Zhang, Z.M.[Zhao-Ming],
Large-Scale Populus euphratica Distribution Mapping Using Time-Series Sentinel-1/2 Data in Google Earth Engine,
RS(15), No. 6, 2023, pp. 1585.
DOI Link 2304
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Wu, C.X.[Chun-Xiao], Jia, W.[Wei], Yang, J.Y.[Jian-Yu], Zhang, T.T.[Ting-Ting], Dai, A.[Anjin], Zhou, H.[Han],
Economic Fruit Forest Classification Based on Improved U-Net Model in UAV Multispectral Imagery,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
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Yin, Y.[Yihan], Liu, G.[Gang], Li, S.[Shanle], Zheng, Z.Y.[Zhi-Yuan], Si, Y.S.[Yong-Sheng], Wang, Y.[Yang],
A Method for Predicting Canopy Light Distribution in Cherry Trees Based on Fused Point Cloud Data,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
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Hapuarachchi, N.S.[Nimanie S.], Trueman, S.J.[Stephen J.], Kämper, W.[Wiebke], Farrar, M.B.[Michael B.], Wallace, H.M.[Helen M.], Nichols, J.[Joel], Bai, S.H.[Shahla Hosseini],
Hyperspectral Imaging of Adaxial and Abaxial Leaf Surfaces for Rapid Assessment of Foliar Nutrient Concentrations in Hass Avocado,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
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Torgbor, B.A.[Benjamin Adjah], Rahman, M.M.[Muhammad Moshiur], Brinkhoff, J.[James], Sinha, P.[Priyakant], Robson, A.[Andrew],
Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine Learning Approach,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
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Sun, Z.B.[Zhi-Bin], Jiang, X.Y.[Xin-Yue], Tang, X.H.[Xue-Hai], Yan, L.P.[Li-Peng], Kuang, F.[Fan], Li, X.Z.[Xiao-Zhou], Dou, M.[Min], Wang, B.[Bin], Gao, X.[Xiang],
Identifying Core Wavelengths of Oil Tree's Hyperspectral Data by Taylor Expansion,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
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Amantai, N.[Nigenare], Meng, Y.Y.[Yuan-Yuan], Song, S.S.[Shan-Shan], Li, Z.[Zihui], Hou, B.[Bowen], Tang, Z.Y.[Zhi-Yao],
Spatial-Temporal Patterns of Interannual Variability in Planted Forests: NPP Time-Series Analysis on the Loess Plateau,
RS(15), No. 13, 2023, pp. 3380.
DOI Link 2307
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Singh, K.[Kanika], Fuentes, I.[Ignacio], Al-Shammari, D.[Dhahi], Fidelis, C.[Chris], Butubu, J.[James], Yinil, D.[David], Sharififar, A.[Amin], Minasny, B.[Budiman], Guest, D.I.[David I], Field, D.J.[Damien J],
E-Agriculture Planning Tool for Supporting Smallholder Cocoa Intensification Using Remotely Sensed Data,
RS(15), No. 14, 2023, pp. 3492.
DOI Link 2307
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Wu, X.[Xuehui], Luo, Z.W.[Zhi-Wei], Xu, H.[Huanliang],
Recognition of pear leaf disease under complex background based on DBPNet and modified mobilenetV2,
IET-IPR(17), No. 10, 2023, pp. 3055-3067.
DOI Link 2308
agricultural engineering, agricultural products, image recognition, image segmentation BibRef

Xiong, Z.J.[Zhang-Jun], Wang, L.[Lele], Zhao, Y.J.[Ying-Jie], Lan, Y.[Yubin],
Precision Detection of Dense Litchi Fruit in UAV Images Based on Improved YOLOv5 Model,
RS(15), No. 16, 2023, pp. 4017.
DOI Link 2309
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Sun, Y.F.[Yi-Fei], Hao, Z.B.[Zhen-Bang], Guo, Z.[Zhanbao], Liu, Z.[Zhenhu], Huang, J.X.[Jia-Xing],
Detection and Mapping of Chestnut Using Deep Learning from High-Resolution UAV-Based RGB Imagery,
RS(15), No. 20, 2023, pp. 4923.
DOI Link 2310
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Li, Y.J.[Ya-Jing], Yan, E.[Enping], Jiang, J.W.[Jia-Wei], Cao, D.[Dan], Mo, D.[Dengkui],
Investigating the Identification and Spatial Distribution Characteristics of Camellia oleifera Plantations Using High-Resolution Imagery,
RS(15), No. 21, 2023, pp. 5218.
DOI Link 2311
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Tsao, A.[Angela], Nzewi, I.[Ikenna], Jayeoba, A.[Ayodeji], Ayogu, U.[Uzoma], Lobell, D.B.[David B.],
Canopy Height Mapping for Plantations in Nigeria Using GEDI, Landsat, and Sentinel-2,
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DOI Link 2311
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Hashimoto, A.[Asahi], Chiu, C.W.[Chen-Wei], Onda, Y.[Yuichi], Tateishi, M.[Makiko], Tsuruta, K.[Kenji], Gomi, T.[Takashi],
Satellite remote sensing model for estimating canopy transpiration in cypress plantation using in situ sap flow observations and forest inventory,
PandRS(206), 2023, pp. 258-272.
Elsevier DOI 2312
Transpiration, Forest inventory, Remote sensing, Sap flow, Decoupling index BibRef

Xie, J.X.[Jia-Xing], Wang, J.X.[Jia-Xin], Chen, Y.F.[Yu-Feng], Gao, P.[Peng], Yin, H.[Huili], Chen, S.[Shiyun], Sun, D.Z.[Dao-Zong], Wang, W.X.[Wei-Xing], Mo, H.[Handong], Shen, J.Y.[Ji-Yuan], Li, J.[Jun],
Estimating the SPAD of Litchi in the Growth Period and Autumn Shoot Period Based on UAV Multi-Spectrum,
RS(15), No. 24, 2023, pp. 5767.
DOI Link 2401
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Moraiti, N.[Nikoletta], Mullissa, A.[Adugna], Rahn, E.[Eric], Sassen, M.[Marieke], Reiche, J.[Johannes],
Critical Assessment of Cocoa Classification with Limited Reference Data: A Study in Cote d'Ivoire and Ghana Using Sentinel-2 and Random Forest Model,
RS(16), No. 3, 2024, pp. 598.
DOI Link 2402
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Chakhar, A.[Amal], Hernández-López, D.[David], Ballesteros, R.[Rocío], Moreno, M.A.[Miguel A.],
Irrigation Detection Using Sentinel-1 and Sentinel-2 Time Series on Fruit Tree Orchards,
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Rehman, A.U.[Arif Ur], Zhang, L.[Lifu], Sajjad, M.M.[Meer Muhammad], Raziq, A.[Abdur],
Multi-Temporal Sentinel-1 and Sentinel-2 Data for Orchards Discrimination in Khairpur District, Pakistan Using Spectral Separability Analysis and Machine Learning Classification,
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Hamrouni, Y., Paillassa, É., Chéret, V., Monteil, C., Sheeren, D.,
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Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Olive Trees, Orchards, Diseases .


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