Remote sensing monitoring of irrigated areas from 1972 to 2018 in the Guigou Plain, Middle Atlas, Morocco

• Autorzy: El-Bouhali Abdelaziz , Cotonnec Adeline , Lebaut Sébastien , Amyay Mhamed , Thomas Alban , El Ouazani Ech-Chahdi Khadija , Laouanne Mohamed , Gille Emmanuel

Identyfikatory

DOI

10.24425/jwld.2023.143766

• Języki publikacji: EN

Abstrakty

EN

The cartography and quantification of irrigated fields in the context of decreasing rainfall constitute a key element for water resources management. Therefore, in this context, the use of remote sensing methods applied to Landsat-type images with a high spatial resolution for monitoring the changes in land use in general and irrigated crops, in particular, is highly relevant. This paper aims to present a method for mapping spatial and temporal changes in irrigated parcels in the Guigou Plain, located in the central Middle Atlas, based on Landsat images and fieldwork. For the years 1985, 1998, 2010 and 2018, the use of a supervised classification method based on the principle of machine learning, fed by precise field surveys, has made it possible to highlight a significant extension of irrigated areas to the expense of pastureland and rainfed crops. Over the entire period under consideration, the results obtained with good precision (98.5% overall accuracy) showed that the area under irrigated crops has increased from approximately 699 ha to 3988 ha, i.e. an increase of 570%. The corollary of this increase is strong pressure on the water resource, especially groundwater. This information on the total extension of irrigated plots can be taken as a reference in the perspective of reasoned management of water resources in the sector.

Słowa kluczowe

EN

irrigated crops; land use; Middle Atlas; Morocco; remote sensing

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2023
• Tom: no. 56
• Strony: 249--261
• Opis fizyczny: Bibliogr. 55 poz., fot., mapy, rys., tab.

Twórcy

autor

El-Bouhali Abdelaziz

• University of Lorraine, Research Unit “LOTERR”, F-57000 Metz, France
• Rennes 2 University, LETG-Rennes UMR 6554 CNRS, Rennes, France
• Sidi Mohamed Ben Abdellah University, Fez, Morocco

• https://orcid.org/0000-0003-2581-4580

autor

Cotonnec Adeline

• Rennes 2 University, LETG-Rennes UMR 6554 CNRS, Rennes, France

• https://orcid.org/0000-0002-4728-7745

autor

Lebaut Sébastien

• University of Lorraine, Research Unit “LOTERR”, F-57000 Metz, France

• https://orcid.org/0000-0002-9869-7285

autor

Amyay Mhamed

• Sidi Mohamed Ben Abdellah University, Fez, Morocco

autor

Thomas Alban

• Rennes 2 University, LETG-Rennes UMR 6554 CNRS, Rennes, France

• https://orcid.org/0000-0002-7403-8867

autor

El Ouazani Ech-Chahdi Khadija

• Sidi Mohamed Ben Abdellah University, Fez, Morocco

autor

Laouanne Mohamed

• Sidi Mohamed Ben Abdellah University, Fez, Morocco

autor

Gille Emmanuel

• University of Lorraine, Research Unit “LOTERR”, F-57000 Metz, France

Bibliografia

• AHMADI K., KALANTAR B., SAEIDI V., HARANDI E.K.G., JANIZADEH S., UEDA N. 2020. Comparison of machine learning methods for mapping the stand characteristics of temperate forests using multi-spectral Sentinel-2 data. Remote Sensing. Vol. 12(18), 3019 p. 1–24. DOI 10.3390/rs12183019.
• AKDIM B., SABAOUI A., AMYAY A., LAAOUANE M., GILLE E., OBDA K.H. 2011. Influences hydro karstiques du système sourcier Aïn Sebou-Timedrine-Ouamender sur l’hydrologie de l’oued Sebou (Moyen Atlas, Maroc) [Hydrokarstic influences of the Aïn Sebou-Timedrine-Ouamender springs system on the hydrology of the Sebou Wadi (Middle Atlas, Morocco)]. Zeitschrift für Geomorphologie. Vol. 56(2) p. 165–181. DOI 10.1127/0372-8854/2011/0063.
• AKESBI N. 2006. Évolution et perspectives de l’agriculture marocaine. En : Rapport général 50 ans de développement humain et perspectives 2025 [Evolution and perspectives of Moroccan agriculture. In: General report 50 years of human development and 2025 perspectives] [online] p. 85–198. [Access 15.10.2021]. Available at: https://www.almounadila.info/wp-content/uploads/2015/01/AKESBI.pdf
• AMRANI S., HINAJE S. 2014. Hydrodynamisme et minéralisation des eaux souterraines de la nappe phréatique plio-quaternaire du plateau Timahdite-Almis Guigou (Moyen Atlas, Maroc) [Hydrodynamism and mineralization of the groundwater of the Timahdite-Almis Guigou plateau (Middle Atlas, Morocco)] [online]. European Scientific Journal. Vol. 10(20) p. 174–189. [Access 15.10.2021]. Available at: https://eujournal.org/index.php/esj/article/view/3827
• AMYAY M., LAAOUANE M., AKDIM B. 2000. La pression anthropique sur les ressources en eau souterraine dans le Moyen Atlas. Exemple de la dépression d’Afourgagh [Anthropic pressure on groundwater resources in the Middle Atlas. Example of the Afourgagh depression]. Mosella. Vol. 25(3–4) p. 341–351.
• BADIDI B. 1995. La révolution des vergers de rosacées dans le Moyen-Atlas et ses bordures (Maroc) [The revolution of the rosaceous orchards in the Middle Atlas and its borders (Morocco)]. PhD Thesis. University of Limoges. Faculty of Letters and Human Sciences pp. 448.
• BARAKAT F., HANDOUFE A. 1997. La sècheresse agricole au Maroc [Agricultural drought in Morocco]. In: Sustainability of water resources increasing uncertainty. Proceedings of the Rabat Symposium S1, April 1. IAHS Publications. No. 240 p. 31–41.
• BÉGUÉ A., ARVOR D., BELLON B., BETBEDER J., DE ABELLEYRA D., ..., VERÓN S.R. 2018. Remote sensing and cropping practices: A review. Remote Sensing. Vol. 10(1), 99. DOI 10.3390/rs10010099.
• BELGIU M., CSILLIK O. 2018. Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis. Remote Sensing of Environment. Vol. 204 p. 509–523. DOI 10.1016/j.rse.2017.10.005.
• BENTAYEB A., LECLERC C. 1977. Le Moyen Atlas, le causse moyen atlasique. En : Ressources en Eau du Maroc. T. 3. Domaines atlasique et sud atlasique [The Middle Atlas, the Middle Atlasic Causse. In: Water Resources of Morocco. Vol. 3. Atlasic and South Atlasic domains]. Rabat. Service géologique du Maroc p. 37–65.
• BHATNAGAR S., GILL L., REGAN S., NAUGHTON O., JOHNSTON P., ..., GHOSH B. 2020. Mapping vegetation communities inside wetlands using Sentinel-2 imagery in Ireland. International Journal of Applied Earth Observation and Geoinformation. Vol. 88, 102083. DOI 10.1016/j.jag.2020.102083.
• BIAN J., LI A., LEI G., ZHANG Z., NANA X. 2020. Global high-resolution mountain green cover index mapping based on Landsat images and Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 162 p. 63–76. DOI 10.1016/j.isprsjprs.2020.02.011.
• BLATCHFORD M.L., MANNAERTS C.M., ZENG Y., NOURI H., KARIMI P. 2019. Status of accuracy in remotely sensed and in-situ agricultural water productivity estimates: A review. Remote Sensing of Environment. Vol. 234, 111413. DOI 10.1016/j.rse.2019.111413.
• BRETREGER D., YEOA I.Y., HANCOCK G., WILLGOOSE G. 2020. Monitoring irrigation using Landsat observations and climate data over regional scales in the Murray-Darling Basin. Journal of Hydrology. Vol. 590(11), 125356. DOI 10.1016/j.jhydrol.2020.125356.
• CHANCE E.W., COBOURN K.M., THOMAS V.A. 2018. Trend detection for the extent of irrigated agriculture in Idaho’s Snake River Plain, 1984–2016. Remote Sensing. Vol. 10(1), 145 p. 1–18. DOI 10.3390/rs10010145.
• CHARRIERE A. 1990. Héritage hercynien et évolution géodynamique alpine d’une chaîne intercontinentale : Le Moyen Atlas au sud-est de Fès (Maroc) [Hercynian heritage and alpine geodynamic evolution of an intercontinental chain: The Middle Atlas southeast of Fez, Morocco]. PhD Thesis. University of Toulouse III pp. 589.
• CHAVES M.E.D., PICOLI M.C.A., SANCHES I.D. 2020. Recent applications of Landsat 8/OLI and Sentinel-2/MSI for land use and land cover mapping: A systematic review. Remote Sensing. Vol. 12(18), 3062. DOI 10.3390/rs12183062.
• CONGALTON R.G. 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment. Vol. 37(1) p. 35–46. DOI 10.1016/0034-4257(91)90048-B.
• CONGALTON R.G., ODERWALD R.G., MEAD R.A. 1983. Assessing Landsat classification accuracy using discrete multivariate statistica techniques. Photogrammetric Engineering and Remote Sensing. Vol. 49(12) p. 1671–1678.
• CZEKAJLO A., COOPS N.C, WULDER M.A, HERMOSILLA T., WHITE J.C., VAN DEN BOSCH M. 2021. Mapping dynamic peri-urban land use transitions across Canada using Landsat time series: Spatial and temporal trends and associations with socio-demographic factors. Computers, Environment and Urban Systems. Vol. 88, 101653. DOI 10.1016/j.compenvurbsys.2021.101653.
• DUTRIEUX L.P., JAKOVAC C.C., LATIFAH S.H., KOOISTRA L. 2016. Reconstructing land use history from Landsat time-series: Case study of a swidden agriculture system in Brazil. International Journal of Applied Earth Observation and Geoinformation. Vol. 47 p. 112–124. DOI 10.1016/j.jag.2015.11.018.
• EL JIHAD M.D. 2016. Changement climatique et développement rural dans les montagnes du Moyen-Atlas et leurs bordures (Maroc) [Climate change and rural development in the Middle Atlas mountains and fringe areas (Morocco)]. Journal of Alpine Research. Vol. 104-4. DOI 10.4000/rga.3373.
• EL-BOUHALI A., AMYAY M., LEBAUT S., EL OUAZANI ECH-CHAHDI KH., GILLE E. 2021a. La pression de la dynamique des cultures irriguées sur les ressources en eau dans la plaine de Guigou, Moyen Atlas-Maroc. En : Actes du colloque International sur la dynamique de l’environnement et les risques naturels en milieux méditerranéens [The pressure of the dynamics of irrigated crops on water resources in the plain of Guigou, Middle Atlas-Morocco. In: Proceedings of the International Symposium on Environmental Dynamics and Natural Hazards in Mediterranean Environments]. Oujda. UMP p. 197–202.
• EL-BOUHALI A., AMYAY M., LEBAUT S., GILLE E., COTONNEC A. 2021b. L’impact de la sècheresse et de l’intensification de l’irrigation sur les ressources en eau dans le moyen atlas tabulaire – cas de la dépression d’Afourgagh. En : Actes du colloque international sur la vulnérabilité des territoires face aux risques hydroclimatiques [The impact of drought and irrigation intensification on water resources in the Middle Tabular Atlas – case of the Afourgagh depression. In: Proceedings of the International Symposium on Environmental Dynamics and Natural Hazards in Mediterranean Environments]. Oujda. UMP p. 157–164.
• FOODY G.M. 2002. Status of land cover classification accuracy assessment. Remote Sensing of Environment. Vol. 80(1) p. 185–201. DOI 10.1016/S0034-4257(01)00295-4.
• GAMEZ P., FIZAINE J.P., MANSUY D., SCAPOLI J. 2000. Origine des circulations souterraines dans la vallée de l’oued Guigou (Moyen Atlas septentrional, Maroc) [Origin of the underground circulations in the valley of Wadi Guigou (Northern Middle Atlas, Morocco)]. Mosella. Vol. 25 (3–4) p. 217–225.
• HTITIOU A., BOUDHAR A., LEBRINI Y., HADRIA R., LIONBOUI H., ..., BENABDELOUAHAB T. 2019. The performance of random forest classification based on phenological metrics derived from Sentinel-2 and Landsat 8 to map crop cover in an irrigated semi-arid region. Remote Sensing in Earth Systems Sciences. Vol. 2 p. 208–224. DOI 10.1007/s41976-019-00023-9.
• JENNAN L. 1986. Mutations récentes des campagnes du Moyen Atlas et de ses bordures [Recent changes in the Middle Atlas countryside and its borders]. Méditerranée. No. 4 p. 49–62.
• JIANYA G., HAIGANG S., GUORUI M., QIMING Z. 2008. A review of multi-temporal remote sensing data change detection algorithms. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. 37 p. 757–762.
• KUMAR SHARMA A., HUBERT-MOY L., BUVANESHWARI S., SEKHAR M., RUIZ L., ..., CORGNE S. 2018. Irrigation history estimation using multitemporal satellite images: Application to an intensive groundwater irrigated agricultural watershed in India. Remote Sensing. Vol. 10(6) p. 893–893. DOI 10.3390/rs10060893.
• LABOUESSE F. 1986. L’agriculture marocaine au début des années 80 : Situation et perspectives [Moroccan agriculture in the early 1980s: Situation and prospects]. Méditerranée. No. 4 p. 93–101.
• LOUBIGNAC V. 1938. Le régime des eaux, le nantissement et la prescription chez les Ait Youssi du Guigou [The water regime, pledging and prescription among the Ait Youssi of Guigou]. Hesperis. Vol. 25 p. 251–264.
• MARTIN J. 1981. Le Moyen Atlas Central : Etude géomorphologique [The Central Middle Atlas: Geomorphological study]. PhD Thesis. Université. Paris 7. Notes et Mémoires du Service Géologique. Vol. 1 pp. 445.
• MASELLI F., BATTISTA P., CHIESI M., RAPI B., ANGELI L., ..., GOZZINI B. 2020. Use of Sentinel-2 MSI data to monitor crop irrigation in Mediterranean areas. International Journal of Applied Earth Observation and Geoinformation. Vol. 93, 102216. DOI 10.1016/j.jag.2020.102216.
• MAXWELL S.K., SYLVESTER K.M. 2012. Identification of “ever-cropped” land (1984–2010) using Landsat annual maximum NDVI image composites: Southwestern Kansas case study. Remote Sensing of Environment. Vol. 121 p. 186–195. DOI 10.1016/j.rse.2012.01.022.
• Ministère de l’Agriculture, de la Pêche Maritime, du Développement Rural et des Eaux et Forêts. 2017. Agriculture d’oignons et de pommes de terre dans la région montagneuse de Boulmane : État des lieux et perspectives [Onion and potato farming in the mountainous region of Boulmane: Status and prospects]. Royaume du Maroc pp. 20.
• OZDOGAN M., YANG Y., ALLEZ G., CERVANTES C. 2010. Remote sensing of irrigated agriculture: Opportunities and challenges. Remote Sensing. Vol. 2 p. 2274–2304. DOI 10.3390/rs2092274.
• PELLETIER C., VALEROA S., INGLADAA J., CHAMPION N., DEDIEUA G. 2016. Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas. Remote Sensing of Environment. Vol. 187 p. 156–168. DOI 10.1016/j.rse.2016.10.010.
• PERVEZ M D. S., BUDDE M., ROWLAND J. 2014. Mapping irrigated areas in Afghanistan over the past decade using MODIS NDVI. Remote Sensing of Environment. Vol. 149 p. 155–165. DOI 10.1016/j.rse.2014.04.008.
• PORTMANN F.T., SIEBERT S., DÖLL P. 2010. MIRCA2000 – Global monthly irrigated and rainfed crop areas around the year 2000: A new high-resolution data set for agricultural and hydrological modeling. Global Biogeochemical Cycles. Vol. 24(1), GB1011. DOI 10.1029/2008GB003435.
• QADEM A. 2015. Quantification, modélisation et gestion de la ressource en eau dans le bassin versant du haut Sebou (Maroc). PhD Thesis. Sidi Mohamed Ben Abdelah University and the University of Lorraine pp. 358.
• RANA V.K., VENKATA SURYANARAYANA T.M. 2020. Performance evaluation of MLE, RF and SVM classification algorithms for watershed scale land use/land cover mapping using Sentinel 2 bands. Remote Sensing Applications: Society and Environment. Vol. 19, 100351. DOI 10.1016/j.rsase.2020.100351.
• RODRIGUEZ-GALIANO V.F., GHIMIRE B., ROGAN J., CHICA-OLMO M., RIGOL-SANCHEZ J.P. 2012. An assessment of the effectiveness of a random forest classifier for land-cover classification. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 67 p. 93–104. DOI 10.1016/j.isprsjprs.2011.11.002.
• SAADI S., SIMONNEUX V., BOULET G., RAIMBAULT B., MOUGEONOT B., FANISE P., AVARI H., LILI CHABAANE Z. 2015. Monitoring irrigation consumption using high resolution NDVI image time series: calibration and validation in the Kairouan Plain (Tunisia). Remote Sensing. Vol. 7(10) p. 13005–13028. DOI 10.3390/rs71013005.
• SALMON J.M., FRIEDL M.A., FROLKING S., WISSER D., DOUGLAS E.M. 2015. Global rain-fed, irrigated and paddy croplands: A new high-resolution map derived from remote sensing, crop inventories and climate data. International Journal of Applied Earth Observation and Geoinformation. Vol. 38 p. 321–334. DOI 10.1016/j.jag.2015.01.014.
• SIEBERT S., DÖLL P., HOOGEVEEN J., FAURES J.-M., FRENKEN K., FEICK S. 2005. Development and validation of the global map of irrigation areas. Hydrology and Earth System Sciences. Vol. 9(5) p. 535–547. DOI 10.5194/hess-9-535-2005.
• SIEBERT S., KUMMU M., PORKKA M., DÖLL P., RAMANKUTTY N., SCANLON B. R. 2015. A global data set of the extent of irrigated land from 1900 to 2005. Hydrology and Earth System Sciences. Vol. 19(3) p. 1521–1545. DOI 10.5194/hess-19-1521-2015.
• STOUR L., AGOUMI A. 2008. Sécheresse climatique au Maroc durant les dernières décennies. [Climatic drought in Morocco during the last decades]. Hydroécologie Appliquée. Vol. 16 p. 215–232. DOI 10.1051/hydro/2009003.
• TACK J., BARKLEY A., HENDRICKS N. 2017. Irrigation offsets wheat yield reductions from warming temperatures. Environmental Research Letters. Vol. 12, 114027. DOI 10.1088/1748-9326/aa8d27.
• TAG B. 1996. Les potentialités de développement du Moyen-Atlas oriental et leur appréciation par les acteurs locaux. [The potential for development of the Eastern Middle Atlas and its appreciation by local actors]. Revue de Géographie Alpine. Vol. 84(4) p. 51–60.
• THENKABAIL P.S., SCHULL M., TURRAL H. 2005. Ganges and Indus river basin land use/land cover (LULC) and irrigated area mapping using continuous streams of MODIS data. Remote Sensing of Environment. Vol. 95 p. 317–341. DOI 10.1016/j.rse.2004.12.018.
• WADA Y., BIERKENS M.F.P. 2014. Sustainability of global water use: past reconstruction and future projections. Environmental Research Letters. Vol. 9(10), 104003. DOI 10.1088/1748-9326/9/10/104003.
• XIE Y., LARK T.J. 2021. Mapping annual irrigation from Landsat imagery and environmental variables across the conterminous United States. Remote Sensing of Environment. Vol. 260, 112445. DOI 10.1016/j.rse.2021.112445.
• ZERYOUHI I. 1977. Le Moyen Atlas plisse, ressources en eau du Maroc. T. 3. Domaines atlasique et sud atlasique [The Middle Atlas plisse, water resources of Morocco]. Rabat. Service géologique du Maroc p. 66–84.
• ZHENG B., MYINT S.W., THENKABAIL P.S., AGGARWAL R.M. 2015. A suport vector machine to identify irrigated crop types using time-series Landsat NDVI data. International Journal of Applied Earth Observation and Geoinformation. Vol. 34 p. 103–112. DOI 10.1016/j.jag.2014.07.002.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).