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Original Articles

A segment-based approach to classify agricultural lands by using multi-temporal optical and microwave data

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Pages 7184-7204 | Received 18 Oct 2011, Accepted 22 May 2012, Published online: 28 Jun 2012

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Read on this site (5)

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Articles from other publishers (12)

Yuan Gao, Yaozhong Pan, Xiufang Zhu, Le Li, Shoujia Ren, Chuanwu Zhao & Xuechang Zheng. (2023) FARM: A fully automated rice mapping framework combining Sentinel-1 SAR and Sentinel-2 multi-temporal imagery. Computers and Electronics in Agriculture 213, pages 108262.
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Stéphanie Diane Konan Houphlet, Pauline Dusseux, Adjo Estelle Geneviève Adiko, Arthur Brice Konan-Waidhet, François Munoz, Sylvain Bigot & Constant Yves Adou Yao. (2022) Object-based characterization of vegetation heterogeneity with sentinel images proves efficient in a highly human-influenced National Park of Côte d’Ivoire. Environmental Monitoring and Assessment 195:1.
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Amal Chakhar, David Hernández-López, Rim Zitouna-Chebbi, Imen Mahjoub, Rocío Ballesteros & Miguel A. Moreno. (2022) Optimized Software Tools to Generate Large Spatio-Temporal Data Using the Datacubes Concept: Application to Crop Classification in Cap Bon, Tunisia. Remote Sensing 14:19, pages 5013.
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Dongsheng Liu & Ling Han. (2021) Semi-Automatic Extraction and Mapping of Farmlands Based on High-Resolution Remote Sensing Images. International Journal of Pattern Recognition and Artificial Intelligence 36:01.
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İdris USLU, Zerrin ÇELİK, Sinan ARAS, Vural KARAGÜL, Merve ETÖZ & Aslı ÖZDARICI OK. (2021) Mısır Ekim Alanları ve Dane Veriminin Uzaktan Algılama ve Hybrid-Maize Bitki Modeli ile BelirlenmesiDetermination of Maize Planting Areas and Grain Yields Using Remote Sensing and Hybrid-Maize Crop Model. ANADOLU Ege Tarımsal Araştırma Enstitüsü Dergisi 31:2, pages 202-211.
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Lin Chu, Chenlong Jiang, Tianwei Wang, Zhaoxia Li & Chongfa Cai. (2021) Mapping and forecasting of rice cropping systems in central China using multiple data sources and phenology-based time-series similarity measurement. Advances in Space Research 68:9, pages 3594-3609.
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Tomáš Goga, Ján Feranec, Tomáš Bucha, Miloš Rusnák, Ivan Sačkov, Ivan Barka, Monika Kopecká, Juraj Papčo, Ján Oťaheľ, Daniel Szatmári, Róbert Pazúr, Maroš Sedliak, Jozef Pajtík & Jozef Vladovič. (2019) A Review of the Application of Remote Sensing Data for Abandoned Agricultural Land Identification with Focus on Central and Eastern Europe. Remote Sensing 11:23, pages 2759.
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Chang-an LIU, Zhong-xin CHEN, Yun SHAO, Jin-song CHEN, Tuya Hasi & Hai-zhu PAN. (2019) Research advances of SAR remote sensing for agriculture applications: A review. Journal of Integrative Agriculture 18:3, pages 506-525.
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Azar Zafari, Raúl Zurita-Milla & Emma Izquierdo-Verdiguier. (2017) Integrating support vector machines and random forests to classify crops in time series of Worldview-2 images. Integrating support vector machines and random forests to classify crops in time series of Worldview-2 images.
Olga Lashkareva, Sofia Abetova, Gulnar Kozhakhmetova, Nurtay Moldashov & Aigul Auelbekova. (2016) Development of a classification system for agricultural lands in Kazakhstan. Outlook on Agriculture 45:2, pages 78-86.
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Asli Ozdarici-Ok, Ali Ok & Konrad Schindler. (2015) Mapping of Agricultural Crops from Single High-Resolution Multispectral Images—Data-Driven Smoothing vs. Parcel-Based Smoothing. Remote Sensing 7:5, pages 5611-5638.
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Jun Chen, Jin Chen, Anping Liao, Xin Cao, Lijun Chen, Xuehong Chen, Chaoying He, Gang Han, Shu Peng, Miao Lu, Weiwei Zhang, Xiaohua Tong & Jon Mills. (2015) Global land cover mapping at 30m resolution: A POK-based operational approach. ISPRS Journal of Photogrammetry and Remote Sensing 103, pages 7-27.
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