{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T21:21:30Z","timestamp":1762809690951,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031774317"},{"type":"electronic","value":"9783031774324"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-77432-4_3","type":"book-chapter","created":{"date-parts":[[2024,12,25]],"date-time":"2024-12-25T08:24:03Z","timestamp":1735115043000},"page":"35-49","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Integrating Remote Sensing and Machine Learning for Accurate Detection of Agricultural Zones in El Jadida, Morocco"],"prefix":"10.1007","author":[{"given":"Allae","family":"Erraissi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hafsa","family":"Ouchra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mouad","family":"Banane","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,26]]},"reference":[{"issue":"3","key":"3_CR1","first-page":"081","volume":"3","author":"AD Vibhute","year":"2013","unstructured":"Vibhute, A.D., Gawali, B.W.: Analysis and modeling of agricultural land use using remote sensing and geographic information system: a review. Int. J. Eng. Res. Appl. 3(3), 081\u2013091 (2013)","journal-title":"Int. J. Eng. Res. Appl."},{"key":"3_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/J.RSE.2019.111402","volume":"236","author":"M Weiss","year":"2020","unstructured":"Weiss, M., Jacob, F., Duveiller, G.: Remote sensing for agricultural applications: a meta-review. Remote Sens. Environ. 236, 111402 (2020). https:\/\/doi.org\/10.1016\/J.RSE.2019.111402","journal-title":"Remote Sens. Environ."},{"key":"3_CR3","unstructured":"Selamat, Md.H., Selamat, A., Othman, M., Shamsuddin, N.H.M., Zukepli, N.I.M.: A review on Geographical Information System (GIS) in town planning: Malaysia experience (2012)"},{"issue":"3","key":"3_CR4","doi-asserted-by":"publisher","first-page":"1720","DOI":"10.11591\/ijece.v9i3.pp.1720-1731","volume":"9","author":"S Dhingra","year":"2019","unstructured":"Dhingra, S., Kumar, D.: A review of remotely sensed satellite image classification. Int. J. Electr. Comput. Eng. 9(3), 1720\u20131731 (2019). https:\/\/doi.org\/10.11591\/ijece.v9i3.pp.1720-1731","journal-title":"Int. J. Electr. Comput. Eng."},{"key":"3_CR5","doi-asserted-by":"publisher","unstructured":"Bell\u00f3n, B., B\u00e9gu\u00e9, A., Lo Seen, D., De Almeida, C.A., Sim\u00f5es, M.: A remote sensing approach for regional-scale mapping of agricultural land-use systems based on NDVI time series. Remote Sens. 9(6), 600 (2017). https:\/\/doi.org\/10.3390\/rs9060600","DOI":"10.3390\/rs9060600"},{"key":"3_CR6","doi-asserted-by":"publisher","unstructured":"Ouchra, H., Belangour, A., Erraissi, A.: Machine learning for satellite image classification: a: comprehensive review. In 2022 International Conference on Data Analytics for Business and Industry, ICDABI 2022 (2022). https:\/\/doi.org\/10.1109\/ICDABI56818.2022.10041606","DOI":"10.1109\/ICDABI56818.2022.10041606"},{"issue":"1","key":"3_CR7","doi-asserted-by":"publisher","first-page":"377","DOI":"10.18280\/ISI.290137","volume":"29","author":"H Ouchra","year":"2024","unstructured":"Ouchra, H., Belangour, A., Erraissi, A.: Supervised machine learning algorithms for land cover classification in Casablanca, Morocco. Ingenierie des Systemes d\u2019Information 29(1), 377\u2013387 (2024). https:\/\/doi.org\/10.18280\/ISI.290137","journal-title":"Ingenierie des Systemes d\u2019Information"},{"key":"3_CR8","doi-asserted-by":"publisher","unstructured":"Ouchra, H., Belangour, A., Erraissi, A., Banane, M.: Assessing machine learning algorithms for land use and land cover classification in Morocco using google earth engine. In: Foresti, G.L., Fusiello, A., Hancock, E. (eds.) Image Analysis and Processing - ICIAP 2023 Workshops: Udine, Italy, September 11\u201315, 2023, Proceedings, Part I, pp. 395\u2013405. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-51023-6_33","DOI":"10.1007\/978-3-031-51023-6_33"},{"key":"3_CR9","doi-asserted-by":"publisher","unstructured":"Magidi, J., Nhamo, L., Mpandeli, S., Mabhaudhi, T.: Application of the random forest classifier to map irrigated areas using google earth engine. Remote Sens. 13(5), 876 (2021). https:\/\/doi.org\/10.3390\/RS13050876","DOI":"10.3390\/RS13050876"},{"key":"3_CR10","doi-asserted-by":"publisher","unstructured":"Awad, M.: Google Earth Engine (GEE) cloud computing based crop classification using radar, optical images and Support Vector Machine Algorithm (SVM). In: 2021 IEEE 3rd International Multidisciplinary Conference on Engineering Technology, IMCET 2021, pp. 71\u201376 (2021). https:\/\/doi.org\/10.1109\/IMCET53404.2021.9665519","DOI":"10.1109\/IMCET53404.2021.9665519"},{"key":"3_CR11","doi-asserted-by":"publisher","unstructured":"Natekin, A., Knoll, A.: Gradient boosting machines, a tutorial. Front. Neurorobot. 7 (2013). https:\/\/doi.org\/10.3389\/fnbot.2013.00021","DOI":"10.3389\/fnbot.2013.00021"},{"issue":"2","key":"3_CR12","doi-asserted-by":"publisher","first-page":"118","DOI":"10.30564\/JEES.V5I2.5928","volume":"5","author":"H Ouchra","year":"2023","unstructured":"Ouchra, H., Belangour, A., Erraissi, A.: Comparison of machine learning methods for satellite image classification: a case study of casablanca using landsat imagery and google earth engine. J. Environ. Earth Sci. 5(2), 118\u2013134 (2023). https:\/\/doi.org\/10.30564\/JEES.V5I2.5928","journal-title":"J. Environ. Earth Sci."},{"issue":"12","key":"3_CR13","doi-asserted-by":"publisher","first-page":"83","DOI":"10.52939\/ijg.v19i12.2981","volume":"19","author":"H Ouchra","year":"2023","unstructured":"Ouchra, H., Belangour, A., Erraissi, A.: Comparing unsupervised land use classification of landsat 8 OLI data using K-means and LVQ algorithms in google earth engine: a case study of Casablanca. Int. J. Geoinform. 19(12), 83\u201392 (2023). https:\/\/doi.org\/10.52939\/ijg.v19i12.2981","journal-title":"Int. J. Geoinform."},{"key":"3_CR14","doi-asserted-by":"publisher","unstructured":"Ouchra, H., Belangour, A., Erraissi, A.: Machine learning algorithms for satellite image classification using google earth engine and landsat satellite data: Morocco case study. IEEE Access 11 (2023). https:\/\/doi.org\/10.1109\/ACCESS.2023.3293828","DOI":"10.1109\/ACCESS.2023.3293828"},{"key":"3_CR15","doi-asserted-by":"publisher","unstructured":"L. Yang, J. Driscol, S. Sarigai, Q. Wu, H. Chen, and C. D. Lippitt, \u201cGoogle Earth Engine and Artificial Intelligence (AI): A Comprehensive Review,\u201d Remote Sensing 2022, Vol. 14, Page 3253, vol. 14, no. 14, p. 3253, Jul. 2022, https:\/\/doi.org\/10.3390\/RS14143253","DOI":"10.3390\/RS14143253"},{"key":"3_CR16","doi-asserted-by":"publisher","unstructured":"Ouchra, H., Belangour, A., Erraissi, A.: Exploring google earth engine platform for satellite image classification using machine learning algorithms. In: Ben Ahmed, M., Boudhir, A.A., El Meouche, R., Kara\u0219, \u0130, R. (eds.) Innovations in Smart Cities Applications Volume 7: The Proceedings of the 8th International Conference on Smart City Applications, vol. 2, pp. 271\u2013280. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-54376-0_24","DOI":"10.1007\/978-3-031-54376-0_24"},{"key":"3_CR17","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.rse.2017.06.031","volume":"202","author":"N Gorelick","year":"2017","unstructured":"Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., Moore, R.: Google earth engine: planetary-scale geospatial analysis for everyone. Remote Sens. Environ. 202, 18\u201327 (2017). https:\/\/doi.org\/10.1016\/j.rse.2017.06.031","journal-title":"Remote Sens. Environ."},{"key":"3_CR18","doi-asserted-by":"publisher","unstructured":"Segarra, J., Buchaillot, M.L., Araus, J.L., Kefauver, S.C.: Remote sensing for precision agriculture: sentinel-2 improved features and applications. Agronomy 10(5), 641 (2020). https:\/\/doi.org\/10.3390\/AGRONOMY10050641","DOI":"10.3390\/AGRONOMY10050641"},{"key":"3_CR19","doi-asserted-by":"publisher","DOI":"10.1117\/12.2601452","author":"H Ouchra","year":"2021","unstructured":"Ouchra, H., Belangour, A.: Object detection approaches in images: a survey. Proc. SPIE \u2013 Int. Soc. Opt. Eng. (2021). https:\/\/doi.org\/10.1117\/12.2601452","journal-title":"Proc. SPIE \u2013 Int. Soc. Opt. Eng."},{"key":"3_CR20","doi-asserted-by":"publisher","unstructured":"Ouchra, H., Belangour, A.: Object detection approaches in images: a weighted scoring model based comparative study. Int. J. Adv. Comput. Sci. Appl. 12(8) (2021). https:\/\/doi.org\/10.14569\/IJACSA.2021.0120831","DOI":"10.14569\/IJACSA.2021.0120831"},{"issue":"1","key":"3_CR21","first-page":"15","volume":"14","author":"H Ouchra","year":"2022","unstructured":"Ouchra, H., Belangour, A., Erraissi, A.: A comprehensive study of using remote sensing and geographical information systems for urban planning. Internetwork. Indon. J. 14(1), 15\u201320 (2022)","journal-title":"Internetwork. Indon. J."},{"issue":"1","key":"3_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/15481603.2019.1650447","volume":"57","author":"AM Abdi","year":"2020","unstructured":"Abdi, A.M.: Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data. GIsci. Remote Sens. 57(1), 1\u201320 (2020). https:\/\/doi.org\/10.1080\/15481603.2019.1650447","journal-title":"GIsci. Remote Sens."},{"key":"3_CR23","doi-asserted-by":"publisher","unstructured":"Ouchra, H., Belangour, A., Erraissi, A.: Satellite data analysis and geographic information system for urban planning: a systematic review. In: 2022 International Conference on Data Analytics for Business and Industry (ICDABI), pp. 558\u2013564 (2022). https:\/\/doi.org\/10.1109\/ICDABI56818.2022.10041487","DOI":"10.1109\/ICDABI56818.2022.10041487"},{"key":"3_CR24","doi-asserted-by":"publisher","unstructured":"Ouchra, H., Belangour, A., Erraissi, A.: Spatial data mining technology for GIS: a review. In: 2022 International Conference on Data Analytics for Business and Industry (ICDABI), pp. 655\u2013659 (2022). https:\/\/doi.org\/10.1109\/ICDABI56818.2022.10041574","DOI":"10.1109\/ICDABI56818.2022.10041574"},{"key":"3_CR25","doi-asserted-by":"publisher","unstructured":"Ouchra, H., Belangour, A., Erraissi, A.: Unsupervised learning for land cover mapping of casablanca using multispectral imaging. In: 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2024, pp. 1841\u20131847 (2024). https:\/\/doi.org\/10.1109\/ICETSIS61505.2024.10459466","DOI":"10.1109\/ICETSIS61505.2024.10459466"},{"key":"3_CR26","doi-asserted-by":"publisher","unstructured":"Ouchra, H., Belangour, A.: Satellite image classification methods and techniques: a survey. In: IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings (2021). https:\/\/doi.org\/10.1109\/IST50367.2021.9651454","DOI":"10.1109\/IST50367.2021.9651454"},{"key":"3_CR27","doi-asserted-by":"publisher","unstructured":"Kumar, L., Mutanga, O.: Google Earth Engine applications since inception: usage, trends, and potential. Remote Sens. (Basel) 10(10) (2018). https:\/\/doi.org\/10.3390\/rs10101509","DOI":"10.3390\/rs10101509"},{"issue":"14","key":"3_CR28","doi-asserted-by":"publisher","first-page":"1531","DOI":"10.1080\/10106049.2018.1497094","volume":"34","author":"R Bouhennache","year":"2019","unstructured":"Bouhennache, R., Bouden, T., Taleb-Ahmed, A., Cheddad, A.: A new spectral index for the extraction of built-up land features from Landsat 8 satellite imagery. Geocarto Int. 34(14), 1531\u20131551 (2019). https:\/\/doi.org\/10.1080\/10106049.2018.1497094","journal-title":"Geocarto Int."},{"key":"3_CR29","doi-asserted-by":"publisher","unstructured":"Schmid, J.N.: Using google earth engine for landsat NDVI time series analysis to indicate the present status of forest stands (2017). https:\/\/doi.org\/10.13140\/RG.2.2.34134.14402\/6","DOI":"10.13140\/RG.2.2.34134.14402\/6"},{"key":"3_CR30","doi-asserted-by":"publisher","unstructured":"Ouchra, H., Belangour, A., Erraissi, A.: A comparative study on pixel-based classification and object-oriented classification of satellite image. Int. J. Eng. Trends Technol. 70(8) (2022). https:\/\/doi.org\/10.14445\/22315381\/IJETT-V70I8P221","DOI":"10.14445\/22315381\/IJETT-V70I8P221"}],"container-title":["Communications in Computer and Information Science","Optimization, Learning Algorithms and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-77432-4_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,25]],"date-time":"2024-12-25T09:01:46Z","timestamp":1735117306000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-77432-4_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031774317","9783031774324"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-77432-4_3","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"26 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"OL2A","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Optimization, Learning Algorithms and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tenerife","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ol2a2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ol2a.ipb.pt\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}