{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T08:55:16Z","timestamp":1768812916200,"version":"3.49.0"},"reference-count":64,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2019,6,18]],"date-time":"2019-06-18T00:00:00Z","timestamp":1560816000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010978","name":"Wallonie-Bruxelles International","doi-asserted-by":"publisher","award":["1"],"award-info":[{"award-number":["1"]}],"id":[{"id":"10.13039\/501100010978","id-type":"DOI","asserted-by":"publisher"}]},{"name":"APEFE","award":["2"],"award-info":[{"award-number":["2"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Over the last few decades, small-scale irrigation has been implemented in Burkina Faso as a strategy to mitigate the impacts of adverse climate conditions. However, the development of irrigated perimeters around small and medium water reservoirs has put the water resources under significant pressure, given the uncontrolled exploitation and lack of efficacious management plan. Insights into changes in irrigated areas around these reservoirs are therefore crucial for their sustainable management while meeting the different agricultural water needs. They will help to center policy priorities in terms of major impacts on the reservoirs; and thereby elaborate relevant mitigation and\/or adaptation strategies. The main objectives of this study were to (1) quantify the changes in irrigated land areas surrounding the Mogtedo water reservoir between 1987 and 2015; and (2) determine whether the irrigable potential of this reservoir could sustainably meet the agricultural water needs under a more variable and changing climate. A low-cost remote sensing method based on Landsat imagery (Thematic Mapper, Enhanced Thematic Mapper Plus, and Operational Land Imager) and using Support Vector Machine (SVM) classification was developed to detect the changes in proportion of land use\/land cover (LULC) in the Mogtedo region. A forward and backward change detection analysis requiring agronomic expertise was also applied to correct the pixels temporal trajectories. In addition, an intensity analysis was performed to assess land changes at time intervals, category, and transition levels. Five main LULC classes were identified: bare and hydromorphic soils, irrigated and rainfed agricultural areas, and water bodies. Overall, the classification of LULC was satisfactory with the overall accuracy and kappa coefficients ranging from 94.22 to 95.60% and 0.92 to 0.94, respectively. Results showed that LULC transformations were faster between 2000 and 2015, compared to the 1987\u20132000 period. The majority of categories (LULC classes) were active in terms of intensity of change (gain or loss) during the 1987\u20132000 and 2000\u20132015 periods, except hydromorphic soils. During these periods, the transition from rainfed agricultural areas to irrigated agricultural areas were targeted and stationary. Our findings revealed a 54% increase in irrigated areas between 1987 and 2015. The reservoir water volume decreased markedly from 9,077,000 m3 to 7,100,000 m3 during the same period. Such a decrease threatens the satisfaction of agricultural water requirements, since the reservoir is the unique source of irrigation water in the region. It could potentially lead to conflicts between users if adequate strategies for the sustainable management of the Mogtedo reservoir are not implemented. The methodology used in this study also addressed the challenge of building up historical spatial information database in data-scarce environments, and could be replicated readily in regions or countries like Burkina Faso.<\/jats:p>","DOI":"10.3390\/rs11121442","type":"journal-article","created":{"date-parts":[[2019,6,19]],"date-time":"2019-06-19T02:42:46Z","timestamp":1560912166000},"page":"1442","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Using Multi-Temporal Landsat Images and Support Vector Machine to Assess the Changes in Agricultural Irrigated Areas in the Mogtedo Region, Burkina Faso"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0336-040X","authenticated-orcid":false,"given":"Farid","family":"Traor\u00e9","sequence":"first","affiliation":[{"name":"Institut de l\u2019Environnement et de Recherches Agricoles, Guisga Street, Ouagadougou, P.O. Box 8645 Ouagadougou 04, Burkina Faso"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2518-8084","authenticated-orcid":false,"given":"Joachim","family":"Bonkoungou","sequence":"additional","affiliation":[{"name":"Institut de l\u2019Environnement et de Recherches Agricoles, Guisga Street, Ouagadougou, P.O. Box 8645 Ouagadougou 04, Burkina Faso"}]},{"given":"J\u00e9r\u00f4me","family":"Compaor\u00e9","sequence":"additional","affiliation":[{"name":"Institut de l\u2019Environnement et de Recherches Agricoles, Guisga Street, Ouagadougou, P.O. Box 8645 Ouagadougou 04, Burkina Faso"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9669-7807","authenticated-orcid":false,"given":"Louis","family":"Kouadio","sequence":"additional","affiliation":[{"name":"Center for Applied Climate Sciences, University of Southern Queensland, West Street, Toowoomba, QLD 4350, Australia"}]},{"given":"Joost","family":"Wellens","sequence":"additional","affiliation":[{"name":"Environmental Sciences and Management Department, University of Liege, Avenue de Longwy 185, B-6700 Arlon, Belgium"}]},{"given":"Eric","family":"Hallot","sequence":"additional","affiliation":[{"name":"Institut Scientifique de Service Public, Rue du Ch\u00e9ra 200, 4000 Li\u00e8ge, Belgium"}]},{"given":"Bernard","family":"Tychon","sequence":"additional","affiliation":[{"name":"Environmental Sciences and Management Department, University of Liege, Avenue de Longwy 185, B-6700 Arlon, Belgium"}]}],"member":"1968","published-online":{"date-parts":[[2019,6,18]]},"reference":[{"key":"ref_1","unstructured":"FAO (2019, March 19). Country Fact Sheet on Food and Agriculture Policy Trends\u2014Burkina Faso, April 2014. Available online: http:\/\/www.fao.org\/docrep\/field\/009\/i3760e\/i3760e.pdf."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1281","DOI":"10.1080\/02626667.2010.527846","article-title":"Analyses de grilles pluviom\u00e9triques et principaux traits des changements survenus au 20\u00e8me si\u00e8cle en Afrique de l\u2019Ouest et Centrale","volume":"55","author":"Paturel","year":"2010","journal-title":"Hydrolog. Sci. J."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"937","DOI":"10.1080\/02626669809492188","article-title":"Analyse de s\u00e9ries pluviom\u00e9triques de longue dur\u00e9e en Afrique de l\u2019Ouest et Centrale non sah\u00e9lienne dans un contexte de variabilit\u00e9 climatique\/Analysis of rainfall long series in non-Sahelian West and Central Africa within a context of climate variability","volume":"43","author":"Paturel","year":"1998","journal-title":"Hydrolog. Sci. J."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1705","DOI":"10.1002\/joc.1832","article-title":"The Sahelian standardized rainfall index revisited","volume":"29","author":"Ali","year":"2008","journal-title":"Int. J. Climatol."},{"key":"ref_5","first-page":"1","article-title":"Les changements climatiques: Vuln\u00e9rabilit\u00e9, impacts et adaptation dans le monde de la m\u00e9decine traditionnelle au Burkina Faso","volume":"8","year":"2008","journal-title":"VertigO\u2014La revue \u00c9lectronique en Sciences de L\u2019environnement"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.jhydrol.2008.11.030","article-title":"Recent trends in the Central and Western Sahel rainfall regime (1990\u20132007)","volume":"375","author":"Lebel","year":"2009","journal-title":"J. Hydrol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1363","DOI":"10.1007\/s00382-013-1837-2","article-title":"Changes in rainfall regime over Burkina Faso under the climate change conditions simulated by 5 regional climate models","volume":"42","author":"Ibrahim","year":"2014","journal-title":"Clim. Dynam."},{"key":"ref_8","unstructured":"Yameogo, S., and Kienou, A. (2013). Analysis of Public Expenditures in Support of Food and Agriculture Development in Burkina Faso, 2006\u20132010, MAFAP, FAO. Available online: http:\/\/www.fao.org\/3\/a-at461e.pdf."},{"key":"ref_9","unstructured":"Minist\u00e8re de l\u2019agriculture de l\u2019hydraulique et des ressources halieutiques (2006). Politique Nationale de D\u00e9veloppement Durable de L\u2019agriculture Irrigu\u00e9e: Strat\u00e9gie, Plan D\u2019action, Plan D\u2019investissement \u00e0 L\u2019horizon 2015, Rapport Principal."},{"key":"ref_10","unstructured":"FAO (2014). Analyse des D\u00e9penses Publiques en Soutien \u00e0 L\u2019agriculture et au D\u00e9veloppement Rural au Burkina Faso, 2006\u20132013, MAFAP, FAO. Available online: http:\/\/www.fao.org\/3\/a-i4513f.pdf."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"3679","DOI":"10.1080\/01431160802698919","article-title":"Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium","volume":"30","author":"Thenkabail","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2274","DOI":"10.3390\/rs2092274","article-title":"Remote sensing of irrigated agriculture: Opportunities and challenges","volume":"2","author":"Ozdogan","year":"2010","journal-title":"Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"816","DOI":"10.3390\/rs3040816","article-title":"Mapping irrigated areas of Ghana using fusion of 30 m and 250 m resolution remote-sensing data","volume":"3","author":"Gumma","year":"2011","journal-title":"Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1383","DOI":"10.14358\/PERS.75.12.1383","article-title":"Influence of resolution in irrigated area mapping and area estimations","volume":"75","author":"Velpuri","year":"2009","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"12076","DOI":"10.3390\/rs70912076","article-title":"Multi-Temporal Landsat Images and Ancillary Data for Land Use\/Cover Change (LULCC) Detection in the Southwest of Burkina Faso, West Africa","volume":"7","author":"Zoungrana","year":"2015","journal-title":"Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Knauer, K., Gessner, U., Fensholt, R., Forkuor, G., and Kuenzer, C. (2017). Monitoring Agricultural Expansion in Burkina Faso over 14 Years with 30 m Resolution Time Series: The Role of Population Growth and Implications for the Environment. Remote Sens., 9.","DOI":"10.3390\/rs9020132"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1080\/10106049.2012.744100","article-title":"Monitoring the evolution of irrigated areas with Landsat images using backward and forward change detection analysis in the Kou watershed, Burkina Faso","volume":"28","author":"Cornet","year":"2013","journal-title":"Geocarto Int."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Jin, N., Tao, B., Ren, W., Feng, M., Sun, R., He, L., Zhuang, W., and Yu, Q. (2016). Mapping irrigated and rainfed wheat areas using multi-temporal satellite data. Remote Sens., 8.","DOI":"10.3390\/rs8030207"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1080\/22797254.2017.1308235","article-title":"Towards improved land use mapping of irrigated croplands: Performance assessment of different image classification algorithms and approaches","volume":"50","author":"Basukala","year":"2017","journal-title":"Eur. J. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.isprsjprs.2017.01.019","article-title":"Automated cropland mapping of continental Africa using Google Earth Engine cloud computing","volume":"126","author":"Xiong","year":"2017","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Forkuor, G., Hounkpatin, O.K.L., Welp, G., and Thiel, M. (2017). High resolution mapping of soil properties using remote sensing variables in south-western Burkina Faso: A comparison of machine learning and multiple linear regression models. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0170478"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.rse.2018.03.022","article-title":"Mapping patterns of urban development in Ouagadougou, Burkina Faso, using machine learning regression modeling with bi-seasonal Landsat time series","volume":"210","author":"Schug","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_23","unstructured":"Soci\u00e9t\u00e9 Africaine d\u2019\u00e9tudes et Conseils (2008). Plan Communal de D\u00e9veloppement de Zam, MATD."},{"key":"ref_24","unstructured":"Sahelian Agency for Water Environment and Sanitation (2009). Plan Communal de D\u00e9veloppement Sectoriel Approvisionnement en Eau Potable et Assainissement de la Commune de Mogtedo (Horizon 2010\u20132015)."},{"key":"ref_25","unstructured":"Ou\u00e9draogo, S. (2009). Diagnostic Organisationnel Pour L\u2019exploitation et la Gestion du P\u00e9rim\u00e8tre Irrigu\u00e9 de Mogtedo: Contrainte et Suggestions, Centre Agricole Polyvalent de Matourkou. Rapport de fin de Cycle du Brevet de Technicien Sup\u00e9rieur."},{"key":"ref_26","unstructured":"Ibrahim, B. (2016). Evaluation de la Prise en Compte de la Variabilit\u00e9 Climatique Dans la Gestion de la Retenue D\u2019eau de Mogtedo au Burkina Faso, WASCAL."},{"key":"ref_27","first-page":"365","article-title":"Local water management of small reservoirs: Lessons from two case studies in Burkina Faso","volume":"4","author":"Sally","year":"2011","journal-title":"Water Altern."},{"key":"ref_28","unstructured":"Ndanga Kouali, G. (2010). Comp\u00e9tition Entre P\u00e9rim\u00e8tres Irrigu\u00e9s Partageant la M\u00eame Ressource en Eau: Cas de Mogtedo et Talembika, 2iE. M\u00e9moire de Master."},{"key":"ref_29","unstructured":"Guyon, F., Hallot, E., De Thysebaert, D., Diarra, B.G., Roamba, J., and Zangr\u00e9, B.V.C.A. (2016, January 14\u201315). Estimation de la s\u00e9dimentation des retenues de Kierma, Wedbila et Mogtedo\u2014M\u00e9thodologie et r\u00e9sultats obtenus. Proceedings of the Atelier de capitalisation des r\u00e9sultats et Acquis du PADI, Ouagadougou, Burkina Faso."},{"key":"ref_30","unstructured":"Sally, H., Ke\u00efta, A., and Ouattara, S. (1997). Analyse Diagnostic et Performances de 5 P\u00e9rim\u00e8tres Irrigu\u00e9s Autour de Barrages au Burkina Faso, Projet Management de l\u2019Irrigation\u2014Burkina Faso."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1080\/014311699213659","article-title":"Monitoring land-cover changes: A comparison of change detection techniques","volume":"20","author":"Mas","year":"1999","journal-title":"Int. J. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2674","DOI":"10.1109\/TGRS.2003.818464","article-title":"Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges","volume":"41","author":"Chander","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1016\/j.rse.2009.01.007","article-title":"Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors","volume":"113","author":"Chander","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_34","unstructured":"Wellens, J. (2012). Note Technique: Recensement Hydro-Agricole: Mogtedo\u2014Mars 2012, PADI-BF102."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Richards, J.A., and Jia, X. (2006). Remote Sensing Digital Image Analysis, Springer. [4th ed.].","DOI":"10.1007\/3-540-29711-1"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"403","DOI":"10.5721\/EuJRS20154823","article-title":"Application of support vector machines for landuse classification using high-resolution rapideye images: A sensitivity analysis","volume":"48","author":"Ustuner","year":"2015","journal-title":"Eur. J. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.isprsjprs.2010.11.001","article-title":"Support vector machines in remote sensing: A review","volume":"66","author":"Mountrakis","year":"2011","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Vapnik, V.N. (1995). The Nature of Statistical Learning Theory, Springer.","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"ref_39","unstructured":"Gidudu, A., Greg, H., and Marwala, T. (2007). Classification of Images Using Support Vector Machines. arXiv."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1080\/01431160110040323","article-title":"An assessment of support vector machines for land cover classification","volume":"23","author":"Huang","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"330","DOI":"10.3390\/rs1030330","article-title":"Improving the accuracy of land use and land cover classification of Landsat data using post-classification enhancement","volume":"1","author":"Manandhar","year":"2009","journal-title":"Remote Sens."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Congalton, R.G., and Green, K. (2009). Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, CRC\/Taylor & Francis. [2nd ed.].","DOI":"10.1201\/9781420055139"},{"key":"ref_43","unstructured":"Banko, G. (1998). A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data and of Methods Including Remote Sensing Data in Forest Inventory, International Institute for Applied Systems Analysis."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Foody, G.M. (2002). Status of land cover classification accuracy assessment. Remote Sens. Environ., 185\u2013201.","DOI":"10.1016\/S0034-4257(01)00295-4"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"159","DOI":"10.2307\/2529310","article-title":"The measurement of observer agreement for categorical data","volume":"33","author":"Landis","year":"1977","journal-title":"Biometrics"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.agee.2003.09.008","article-title":"Detecting important categorical land changes while accounting for persistence","volume":"101","author":"Pontius","year":"2004","journal-title":"Agr. Ecosyst. Environ."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1068\/b32091","article-title":"Identifying systematic land-cover transitions using remote sensing and GIS: The fate of forests inside and outside protected areas of southwestern Ghana","volume":"35","author":"Alo","year":"2008","journal-title":"Environ. Plan. B"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"11640","DOI":"10.3390\/s140711640","article-title":"Land classification and change intensity analysis in a coastal watershed of Southeast China","volume":"14","author":"Zhou","year":"2014","journal-title":"Sensors"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1007\/s11442-017-1394-4","article-title":"Assessment of multifunctional landscapes dynamics in the mountainous basin of the Mo River (Togo, West Africa)","volume":"27","author":"Diwediga","year":"2017","journal-title":"J. Geogr. Sci."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"628","DOI":"10.1016\/j.ecolind.2018.09.042","article-title":"Implications of some major human-induced activities on forest cover using extended change matrix quantity and intensity analysis based on historical Landsat data from the Kloto District, Togo","volume":"96","author":"Koglo","year":"2019","journal-title":"Ecol. Indic."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"351","DOI":"10.3390\/land2030351","article-title":"Design and Interpretation of Intensity Analysis Illustrated by Land Change in Central Kalimantan, Indonesia","volume":"2","author":"Pontius","year":"2013","journal-title":"Land"},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Osaki, M., and Tsuji, N. (2016). Land Change Analysis from 2000 to 2004 in Peatland of Central Kalimantan, Indonesia Using GIS and an Extended Transition Matrix. Tropical Peatland Ecosystems, Springer.","DOI":"10.1007\/978-4-431-55681-7"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.landurbplan.2012.02.010","article-title":"Intensity analysis to unify measurements of size and stationarity of land changes by interval, category, and transition","volume":"106","author":"Aldwaik","year":"2012","journal-title":"Landsc. Urban Plan."},{"key":"ref_54","unstructured":"R Core Team (2016). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing. Available online: https:\/\/www.R-project.org\/."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Streiner, D.L., and Norman, G.R. (2003). Health Measurement Scales: A Practical Guide to Their Development and Use, Oxford University Press. [3rd ed.].","DOI":"10.1093\/oso\/9780198528470.001.0001"},{"key":"ref_56","unstructured":"Institut National de la Statistique et de la D\u00e9mographie (INSD) (2017). Projections D\u00e9mographiques des Communes du Burkina Faso de 2007 \u00e0 2020, Institut National de la Statistique et de la D\u00e9mographie (INSD). Available online: http:\/\/www.insd.bf\/n\/contenu\/autres_publications\/Projection_com_Burkina_2007_2020.pdf."},{"key":"ref_57","unstructured":"Sanfo, S. (2010). Politiques Publiques Agricoles et Lutte Contre la Pauvret\u00e9 au Burkina Faso: Le cas de la R\u00e9gion du Plateau Central. [Ph.D. Thesis, Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne]."},{"key":"ref_58","unstructured":"INSD (2003). Analyse des R\u00e9sultats de L\u2019enqu\u00eate Burkinab\u00e9 sur les Conditions de vie Des M\u00e9nages\u2014Rapport Final, Institut National de la Statistique et de la D\u00e9mographie."},{"key":"ref_59","unstructured":"Padonou, M.N., and Sarr, P. (2009, January 8\u201311). Contribution de la T\u00e9l\u00e9d\u00e9tection et du Syst\u00e8me d\u2019Information G\u00e9ographique \u00e0 l\u2019am\u00e9lioration de la gestion des eaux de surface dans un bassin versant: Cas du barrage de Mogtedo au Burkina Faso. Proceedings of the Journ\u00e9es d\u2019Animation Scientique (JAS\u201909) de l\u2019AUF, Alger, Alg\u00e9rie."},{"key":"ref_60","first-page":"2","article-title":"Mogtedo: Le barrage se meurt, la ville aussi","volume":"24","author":"Tao","year":"2016","journal-title":"FENOP Info"},{"key":"ref_61","unstructured":"Parzen, E. (1964). Stochastic Processes, Holden-Day."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/0038-0121(77)90041-6","article-title":"Markov analysis of land use change: Continuous time and stationary processes","volume":"11","author":"Bell","year":"1977","journal-title":"Soc. Econ. Plan. Sci."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"3435","DOI":"10.1080\/01431160010006881","article-title":"Quantifying processes of land-cover change by remote sensing: Resettlement and rapid land-cover changes in south-eastern Zambia","volume":"22","author":"Petit","year":"2001","journal-title":"Int. J. Remote Sens."},{"key":"ref_64","unstructured":"Traor\u00e9, F., Par\u00e9, K., Walbeogo, R., Wellens, J., and Tychon, B. (2016). Estimation de L\u2019\u00e9volution des Superficies Agricoles Irrigu\u00e9es du Bassin de la Haute-Como\u00e9\u2014Application D\u2019une M\u00e9thode de D\u00e9tection de Changements Amont et Aval, PADI. Rapport PADI (Programme d\u2019Appui au D\u00e9veloppement de l\u2019Irrigation)."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/12\/1442\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:59:15Z","timestamp":1760187555000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/12\/1442"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,18]]},"references-count":64,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2019,6]]}},"alternative-id":["rs11121442"],"URL":"https:\/\/doi.org\/10.3390\/rs11121442","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,6,18]]}}}