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Geocarto International Volume 37, 2022 - Issue 5
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Original Articles

A comparative analysis of different phenological information retrieved from Sentinel-2 time series images to improve crop classification: a machine learning approach

Abdelaziz Htitioua Water Resources Management and Valorisation and Remote Sensing Team, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Beni Mellal, Morocco;b National Institute of Agronomic Research, Rabat, MoroccoCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-5210-9732
ORCID Icon,
Abdelghani Boudhara Water Resources Management and Valorisation and Remote Sensing Team, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Beni Mellal, Morocco;c Center for Remote Sensing Application (CRSA), Mohammed VI Polytechnic University, Ben Guerir, Morocco
,
Youssef Lebrinia Water Resources Management and Valorisation and Remote Sensing Team, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Beni Mellal, Morocco;b National Institute of Agronomic Research, Rabat, MoroccoORCID Iconhttps://orcid.org/0000-0002-3057-7260
ORCID Icon,
Rachid Hadriab National Institute of Agronomic Research, Rabat, Morocco
,
Hayat Lionbouib National Institute of Agronomic Research, Rabat, Morocco
&
Tarik Benabdelouahabb National Institute of Agronomic Research, Rabat, MoroccoORCID Iconhttps://orcid.org/0000-0001-8386-934X
ORCID Icon
Pages 1426-1449 | Received 05 Oct 2019, Accepted 03 May 2020, Published online: 20 May 2020

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Read on this site (5)

Ning Ye, Justin Morgenroth & Cong Xu. (2023) Improving Neural Network classification of native forest in New Zealand with phenological features. International Journal of Remote Sensing 44:19, pages 6147-6166.
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Gang Cheng, Huan Ding, Jie Yang & Yushu Cheng. (2023) Crop type classification with combined spectral, texture, and radar features of time-series Sentinel-1 and Sentinel-2 data. International Journal of Remote Sensing 44:4, pages 1215-1237.
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Tian Xia, Wenwen Ji, Weidong Li, Chuanrong Zhang & Wenbin Wu. (2021) Phenology-based decision tree classification of rice-crayfish fields from Sentinel-2 imagery in Qianjiang, China. International Journal of Remote Sensing 42:21, pages 8124-8144.
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Nguyen-Thanh Son, Chi-Farn Chen, Cheng-Ru Chen, Piero Toscano, Youg-Sing Cheng, Hong-Yuh Guo & Chien-Hui Syu. (2021) A phenological object-based approach for rice crop classification using time-series Sentinel-1 Synthetic Aperture Radar (SAR) data in Taiwan. International Journal of Remote Sensing 42:7, pages 2722-2739.
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Abdelaziz Htitiou, Abdelghani Boudhar & Tarik Benabdelouahab. (2021) Deep Learning-Based Spatiotemporal Fusion Approach for Producing High-Resolution NDVI Time-Series Datasets. Canadian Journal of Remote Sensing 47:2, pages 182-197.
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Articles from other publishers (18)

Mostafa Kabolizadeh, Kazem Rangzan & Khalil Habashi. (2023) Improving classification accuracy for separation of area under crops based on feature selection from multi-temporal images and machine learning algorithms. Advances in Space Research 72:11, pages 4809-4824.
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Adolfo Lozano-Tello, Guillermo Siesto, Marcos Fernández-Sellers & Andres Caballero-Mancera. (2023) Evaluation of the Use of the 12 Bands vs. NDVI from Sentinel-2 Images for Crop Identification. Sensors 23:16, pages 7132.
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Pengfei Zheng, Panfei Fang, Leiguang Wang, Guanglong Ou, Weiheng Xu, Fei Dai & Qinling Dai. (2023) Synergism of Multi-Modal Data for Mapping Tree Species Distribution—A Case Study from a Mountainous Forest in Southwest China. Remote Sensing 15:4, pages 979.
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Rabei Raad Ali, Kamaruddin Malik Bin Mohamad, Salama A. Mostafa, Dilovan Asaad Zebari, Mohammed Ahmed Jubair & M. Turki-Hadj Alouane. (2023) A Meta-Heuristic Method for Reassemble Bifragmented Intertwined JPEG Image Files in Digital Forensic Investigation. IEEE Access 11, pages 111789-111800.
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Rebecca Navarro, Lars Wirkus & Olena Dubovyk. (2022) Spatio-Temporal Assessment of Olive Orchard Intensification in the Saïss Plain (Morocco) Using k-Means and High-Resolution Satellite Data. Remote Sensing 15:1, pages 50.
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Longcai Zhao, Qiangzi Li, Qingrui Chang, Jiali Shang, Xin Du, Jiangui Liu & Taifeng Dong. (2022) In-season crop type identification using optimal feature knowledge graph. ISPRS Journal of Photogrammetry and Remote Sensing 194, pages 250-266.
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Hajar Saad El Imanni, Abderrazak El Harti & Jonathan Panimboza. (2022) Investigating Sentinel-1 and Sentinel-2 Data Efficiency in Studying the Temporal Behavior of Wheat Phenological Stages Using Google Earth Engine. Agriculture 12:10, pages 1605.
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Fernando Troya, Paulo N. Bernardino & Ben Somers. (2022) Inter-Annual Climate Variability Impact on Oil Palm Mapping. Remote Sensing 14:13, pages 3104.
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José Estévez, Matías Salinero-Delgado, Katja Berger, Luca Pipia, Juan Pablo Rivera-Caicedo, Matthias Wocher, Pablo Reyes-Muñoz, Giulia Tagliabue, Mirco Boschetti & Jochem Verrelst. (2022) Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data. Remote Sensing of Environment 273, pages 112958.
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Yu Shen, Xiaoyang Zhang & Zhengwei Yang. (2022) Mapping corn and soybean phenometrics at field scales over the United States Corn Belt by fusing time series of Landsat 8 and Sentinel-2 data with VIIRS data. ISPRS Journal of Photogrammetry and Remote Sensing 186, pages 55-69.
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Yong Hong, Deren Li, Mi Wang, Haonan Jiang, Lengkun Luo, Yanping Wu, Chen Liu, Tianjin Xie, Qing Zhang & Zahid Jahangir. (2022) Cotton Cultivated Area Extraction Based on Multi-Feature Combination and CSSDI under Spatial Constraint. Remote Sensing 14:6, pages 1392.
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Hayat Lionboui, Abdelghani Boudhar, Youssef Lebrini, Abdelaziz Htitiou, Fouad Elame, Rachid Hadria & Tarik Benabdelouahab. 2022. Food Security and Climate-Smart Food Systems. Food Security and Climate-Smart Food Systems 321 338 .
Abdelaziz Htitiou, Abdelghani Boudhar, Abdelghani Chehbouni & Tarik Benabdelouahab. (2021) National-Scale Cropland Mapping Based on Phenological Metrics, Environmental Covariates, and Machine Learning on Google Earth Engine. Remote Sensing 13:21, pages 4378.
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Keren Goldberg, Ittai Herrmann, Uri Hochberg & Offer Rozenstein. (2021) Generating Up-to-Date Crop Maps Optimized for Sentinel-2 Imagery in Israel. Remote Sensing 13:17, pages 3488.
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Zi Wei Tao, HaiYan Bu, JinJuan Li, Peng Jia, Wei Qi, Kun Liu & Guo Zhen Du. (2021) Effects of different artificial planting schemes on invasive weeds. Global Ecology and Conservation 28, pages e01651.
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Youssef Lebrini, Abdelghani Boudhar, Ahmed Laamrani, Abdelaziz Htitiou, Hayat Lionboui, Adil Salhi, Abdelghani Chehbouni & Tarik Benabdelouahab. (2021) Mapping and Characterization of Phenological Changes over Various Farming Systems in an Arid and Semi-Arid Region Using Multitemporal Moderate Spatial Resolution Data. Remote Sensing 13:4, pages 578.
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Emrullah ACAR & Müslime ALTUN. (2021) Classification of the Agricultural Crops Using Landsat-8 NDVI Parameters by Support Vector Machine. Balkan Journal of Electrical and Computer Engineering 9:1, pages 78-82.
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Youssef Lebrini, Abdelghani Boudhar, Abdelaziz Htitiou, Rachid Hadria, Hayat Lionboui, Lahouari Bounoua & Tarik Benabdelouahab. (2020) Remote monitoring of agricultural systems using NDVI time series and machine learning methods: a tool for an adaptive agricultural policy. Arabian Journal of Geosciences 13:16.
Crossref

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