Srestasathiern, P.[Panu],
Rakwatin, P.[Preesan],
Oil Palm Tree Detection with High Resolution Multi-Spectral Satellite
Imagery,
RS(6), No. 10, 2014, pp. 9749-9774.
DOI Link
1411
BibRef
Li, L.[Li],
Dong, J.W.[Jin-Wei],
Tenku, S.N.[Simon Njeudeng],
Xiao, X.M.[Xiang-Ming],
Mapping Oil Palm Plantations in Cameroon Using PALSAR 50-m
Orthorectified Mosaic Images,
RS(7), No. 2, 2015, pp. 1206-1224.
DOI Link
1503
BibRef
Teng, K.C.[Khar Chun],
Koay, J.Y.[Jun Yi],
Tey, S.H.[Seng Heng],
Lim, K.S.[Ka Sing],
Ewe, H.T.[Hong Tat],
Chuah, H.T.[Hean Teik],
A Dense Medium Microwave Backscattering Model for the Remote Sensing
of Oil Palm,
GeoRS(53), No. 6, June 2015, pp. 3250-3259.
IEEE DOI
1503
microwave imaging
BibRef
Chemura, A.[Abel],
van Duren, I.[Iris],
van Leeuwen, L.M.[Louise M.],
Determination of the age of oil palm from crown projection area
detected from WorldView-2 multispectral remote sensing data: The case
of Ejisu-Juaben district, Ghana,
PandRS(100), No. 1, 2015, pp. 118-127.
Elsevier DOI
1502
Age detection
BibRef
Nunes, M.H.[Matheus H.],
Ewers, R.M.[Robert M.],
Turner, E.C.[Edgar C.],
Coomes, D.A.[David A.],
Mapping Aboveground Carbon in Oil Palm Plantations Using LiDAR:
A Comparison of Tree-Centric versus Area-Based Approaches,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Toh, C.M.,
Ewe, H.T.,
Tey, S.H.,
Tay, Y.H.,
A Study on Oil Palm Remote Sensing at L-Band With Dense Medium
Microwave Backscattering Model,
GeoRS(57), No. 10, October 2019, pp. 8037-8047.
IEEE DOI
1910
backscatter, radar imaging, radiative transfer,
remote sensing by radar, synthetic aperture radar,
vegetation
BibRef
Li, W.J.[Wei-Jia],
Fu, H.H.[Hao-Huan],
Yu, L.[Le],
Cracknell, A.[Arthur],
Deep Learning Based Oil Palm Tree Detection and Counting for
High-Resolution Remote Sensing Images,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link
1702
BibRef
Dong, R.M.[Run-Min],
Zhang, L.X.[Li-Xian],
Fu, H.H.[Hao-Huan],
RRSGAN: Reference-Based Super-Resolution for Remote Sensing Image,
GeoRS(60), 2022, pp. 1-17.
IEEE DOI
2112
Remote sensing, Image reconstruction, Feature extraction, Earth,
Internet, Superresolution, Deep learning,
super-resolution (SR)
BibRef
Hidayat, S.[Sarip],
MATSUOKA, M.[Masayuki],
Baja, S.[Sumbangan],
Rampisela, D.A.[Dorothea Agnes],
Object-Based Image Analysis for Sago Palm Classification: The Most
Important Features from High-Resolution Satellite Imagery,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Al-Ruzouq, R.[Rami],
Shanableh, A.[Abdallah],
Gibril, M.B.A.[Mohamed Barakat A.],
AL-Mansoori, S.[Saeed],
Image Segmentation Parameter Selection and Ant Colony Optimization
for Date Palm Tree Detection and Mapping from
Very-High-Spatial-Resolution Aerial Imagery,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Li, W.J.[Wei-Jia],
Dong, R.M.[Run-Min],
Fu, H.H.[Hao-Huan],
Yu, L.[Le],
Large-Scale Oil Palm Tree Detection from High-Resolution Satellite
Images Using Two-Stage Convolutional Neural Networks,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Descals, A.[Adriŕ],
Szantoi, Z.[Zoltan],
Meijaard, E.[Erik],
Sutikno, H.[Harsono],
Rindanata, G.[Guruh],
Wich, S.[Serge],
Oil Palm (Elaeis guineensis) Mapping with Details: Smallholder versus
Industrial Plantations and their Extent in Riau, Sumatra,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link
1911
BibRef
Li, W.H.[Wen-Hui],
Fu, D.J.[Dong-Jie],
Su, F.Z.[Fen-Zhen],
Xiao, Y.[Yang],
Spatial-Temporal Evolution and Analysis of the Driving Force of Oil
Palm Patterns in Malaysia from 2000 to 2018,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Freudenberg, M.[Maximilian],
Nölke, N.[Nils],
Agostini, A.[Alejandro],
Urban, K.[Kira],
Wörgötter, F.[Florentin],
Kleinn, C.[Christoph],
Large Scale Palm Tree Detection in High Resolution Satellite Images
Using U-Net,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Casapia, X.T.[Ximena Tagle],
Falen, L.[Lourdes],
Bartholomeus, H.[Harm],
Cárdenas, R.[Rodolfo],
Flores, G.[Gerardo],
Herold, M.[Martin],
Coronado, E.N.H.[Eurídice N. Honorio],
Baker, T.R.[Timothy R.],
Identifying and Quantifying the Abundance of Economically Important
Palms in Tropical Moist Forest Using UAV Imagery,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link
2001
BibRef
Wagner, F.H.[Fabien H.],
Dalagnol, R.[Ricardo],
Casapia, X.T.[Ximena Tagle],
Streher, A.S.[Annia S.],
Phillips, O.L.[Oliver L.],
Gloor, E.[Emanuel],
Aragăo, L.E.O.C.[Luiz E. O. C.],
Regional Mapping and Spatial Distribution Analysis of Canopy Palms in
an Amazon Forest Using Deep Learning and VHR Images,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Zheng, J.P.[Jue-Peng],
Fu, H.H.[Hao-Huan],
Li, W.J.[Wei-Jia],
Wu, W.Z.[Wen-Zhao],
Zhao, Y.[Yi],
Dong, R.M.[Run-Min],
Yu, L.[Le],
Cross-regional oil palm tree counting and detection via a multi-level
attention domain adaptation network,
PandRS(167), 2020, pp. 154 - 177.
Elsevier DOI
2008
BibRef
Earlier: A4, A1, A2, A3, A7, Only
Cross-Regional Oil Palm Tree Detection,
AgriVision20(248-257)
IEEE DOI
2008
Oil palm tree detection, Attention mechanism,
Domain adaptation, Deep learning, Adversarial neural networks.
Vegetation, Oils, Remote sensing, Object detection, Satellites,
Feature extraction, Machine learning
BibRef
Migolet, P.[Pierre],
Goďta, K.[Kalifa],
Evaluation of FORMOSAT-2 and PlanetScope Imagery for Aboveground Oil
Palm Biomass Estimation in a Mature Plantation in the Congo Basin,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Avtar, R.[Ram],
Suab, S.A.[Stanley Anak],
Syukur, M.S.[Mohd Shahrizan],
Korom, A.[Alexius],
Umarhadi, D.A.[Deha Agus],
Yunus, A.P.[Ali P.],
Assessing the Influence of UAV Altitude on Extracted Biophysical
Parameters of Young Oil Palm,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Viera-Torres, M.[Mauricio],
Sinde-González, I.[Izar],
Gil-Docampo, M.[Mariluz],
Bravo-Yandún, V.[Vladimir],
Toulkeridis, T.[Theofilos],
Generating the Baseline in the Early Detection of Bud Rot and Red
Ring Disease in Oil Palms by Geospatial Technologies,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Vermote, E.F.[Eric F.],
Skakun, S.[Sergii],
Becker-Reshef, I.[Inbal],
Saito, K.[Keiko],
Remote Sensing of Coconut Trees in Tonga Using Very High Spatial
Resolution WorldView-3 Data,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Culman, M.[María],
Delalieux, S.[Stephanie],
van Tricht, K.[Kristof],
Individual Palm Tree Detection Using Deep Learning on RGB Imagery to
Support Tree Inventory,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Azmi, A.N.N.[Aiman Nabilah Noor],
Bejo, S.K.[Siti Khairunniza],
Jahari, M.[Mahirah],
Muharam, F.M.[Farrah Melissa],
Yule, I.[Ian],
Husin, N.A.[Nur Azuan],
Early Detection of Ganoderma boninense in Oil Palm Seedlings Using
Support Vector Machines,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Xu, K.B.[Kai-Bin],
Qian, J.[Jing],
Hu, Z.Y.[Zeng-Yun],
Duan, Z.[Zheng],
Chen, C.L.[Chao-Liang],
Liu, J.[Jun],
Sun, J.[Jiayu],
Wei, S.[Shujie],
Xing, X.[Xiuwei],
A New Machine Learning Approach in Detecting the Oil Palm Plantations
Using Remote Sensing Data,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Zheng, J.P.[Jue-Peng],
Fu, H.H.[Hao-Huan],
Li, W.J.[Wei-Jia],
Wu, W.Z.[Wen-Zhao],
Yu, L.[Le],
Yuan, S.[Shuai],
Tao, W.Y.W.[Wai Yuk William],
Pang, T.K.[Tan Kian],
Kanniah, K.D.[Kasturi Devi],
Growing status observation for oil palm trees using Unmanned Aerial
Vehicle (UAV) images,
PandRS(173), 2021, pp. 95-121.
Elsevier DOI
2102
Individual tree detection, Growing status, Oil palm, UAV images, Deep learning
BibRef
Ballester-Berman, J.D.[J. David],
Rastoll-Gimenez, M.[Maria],
Sensitivity Analysis of Sentinel-1 Backscatter to Oil Palm
Plantations at Pluriannual Scale: A Case Study in Gabon, Africa,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Kok, Z.H.[Zhi Hong],
Shariff, A.R.B.M.[Abdul Rashid Bin Mohamed],
Khairunniza-Bejo, S.[Siti],
Kim, H.T.[Hyeon-Tae],
Ahamed, T.[Tofael],
Cheah, S.S.[See Siang],
Wahid, S.A.A.[Siti Aishah Abd],
Plot-Based Classification of Macronutrient Levels in Oil Palm Trees
with Landsat-8 Images and Machine Learning,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Gibril, M.B.A.[Mohamed Barakat A.],
Shafri, H.Z.M.[Helmi Zulhaidi Mohd],
Shanableh, A.[Abdallah],
Al-Ruzouq, R.[Rami],
Wayayok, A.[Aimrun],
Hashim, S.J.[Shaiful Jahari],
Deep Convolutional Neural Network for Large-Scale Date Palm Tree
Mapping from UAV-Based Images,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Iqbal, M.S.[Muhammad Shakaib],
Ali, H.[Hazrat],
Tran, S.N.[Son N.],
Iqbal, T.[Talha],
Coconut trees detection and segmentation in aerial imagery using mask
region-based convolution neural network,
IET-CV(15), No. 6, 2021, pp. 428-439.
DOI Link
2108
BibRef
Shashikant, V.[Veena],
Shariff, A.R.M.[Abdul Rashid Mohamed],
Wayayok, A.[Aimrun],
Kamal, M.R.[Md Rowshon],
Lee, Y.P.[Yang Ping],
Takeuchi, W.[Wataru],
Vegetation Effects on Soil Moisture Retrieval from Water Cloud Model
Using PALSAR-2 for Oil Palm Trees,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Shashikant, V.[Veena],
Shariff, A.R.M.[Abdul Rashid Mohamed],
Wayayok, A.[Aimrun],
Kamal, M.R.[Md Rowshon],
Lee, Y.P.[Yang Ping],
Takeuchi, W.[Wataru],
Comparison of Field and SAR-Derived Descriptors in the Retrieval of
Soil Moisture from Oil Palm Crops Using PALSAR-2,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Chowdhury, P.N.[Pinaki Nath],
Shivakumara, P.[Palaiahnakote],
Nandanwar, L.[Lokesh],
Samiron, F.[Faizal],
Pal, U.[Umapada],
Lu, T.[Tong],
Oil palm tree counting in drone images,
PRL(153), 2022, pp. 1-9.
Elsevier DOI
2201
Oil palm tree detection, Drone images,
Generalized gradient vector flow, Angle analysis
BibRef
Kurihara, J.C.[Juni-Chi],
Koo, V.C.[Voon-Chet],
Guey, C.W.[Cheaw Wen],
Lee, Y.P.[Yang Ping],
Abidin, H.[Haryati],
Early Detection of Basal Stem Rot Disease in Oil Palm Tree Using
Unmanned Aerial Vehicle-Based Hyperspectral Imaging,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Ahmadi, P.[Parisa],
Mansor, S.[Shattri],
Farjad, B.[Babak],
Ghaderpour, E.[Ebrahim],
Unmanned Aerial Vehicle (UAV)-Based Remote Sensing for Early-Stage
Detection of Ganoderma,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
Basal Stem Rot (BSR) disease in oil palms.
BibRef
Shaharum, N.S.N.,
Shafri, H.Z.M.,
Ghani, W.A.W.A.K.,
Samsatli, S.,
Yusuf, B.,
Al-Habshi, M.M.A.,
Prince, H.M.,
Image Classification for Mapping Oil Palm Distribution Via Support
Vector Machine Using Scikit-learn Module,
GeoDisast18(133-137).
DOI Link
1901
BibRef
Idbraim, S.[Soufiane],
Mammass, D.[Driss],
Bouzalim, L.[Lahoucine],
Oudra, M.[Moulid],
Labrador-Garca, M.[Mauricio],
Arbelo, M.[Manuel],
Palm Trees Detection from High Spatial Resolution Satellite Imagery
Using a New Contextual Classification Method with Constraints,
ICISP16(283-292).
WWW Link.
1606
BibRef
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Coffee Trees, Trees as Crops, Tea Trees .