Phytomass estimation using eMODIS NDVI and ground data in arid rangelands of Morocco

[en] The assessment of rangeland productivity in semi-extensively grazed arid rangelands is a prerequisite for livestock management in relation to sustainable use of pastoral resources. The objective of this study was to assess rangeland productivity based on normalised difference vegetation index (NDVI) images. Data on phytomass were measured on 61 field samples in arid rangelands of Morocco, covering various rangeland categories during autumn (November) and spring (April), i.e. when phytomass is at low and high levels, respectively, for two consecutive years (2008 and 2009). Dekadal EROS Moderate Resolution Imaging Spectroradiometer (eMODIS) NDVI data were linearly regressed to field measurements for these four periods. Results show that phytomass values were correlated with NDVI during spring, with R 2 and RMSE values of 0.82 and 0.3 t ha−1, respectively. This study indicates there is a high potential for operational use of remotely sensed data to estimate rangeland phytomass of semi-extensively grazed rangelands.

Disciplines :

Agriculture & agronomy

Author, co-author :

Mahyou, Hamid ; Institut National de la Recherche Agronomique Maroc, Centre Régional de la Recherche Agronomique d’Oujda

Tychon, Bernard ; Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Eau, Environnement, Développement

Lang, Marie ; Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > DER Sc. et gest. de l'environnement (Arlon Campus Environ.)

Balaghi, Riad ; Institut National de la Recherche Agronomique Maroc, Centre Régional de la Recherche Agronomique de Meknès

Language :

English

Title :

Phytomass estimation using eMODIS NDVI and ground data in arid rangelands of Morocco

Publication date :

11 April 2018

Journal title :

African Journal of Range and Forage Science

ISSN :

1022-0119

eISSN :

1727-9380

Publisher :

Taylor & Francis, United Kingdom

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://doi.org/10.2989/10220119.2018.1436088

Available on ORBi :

since 13 April 2018

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Bibliography

Acherkouk M, Maatougui A, El Houmaizi MA., 2012. Etude de l’impact d’une mise en repos pastoral dans les pâturages steppiques de l’Oriental du Maroc sur la restauration de la végétation. Sécheresse 23: 102–112.
Aïdoud A, Le Floc’h É, Le Houérou HN., 2006. Les steppes arides du nord de l’Afrique. Sécheresse 17: 19–30.
Alkemade R, Reid RS, van den Berg M, de Leeuw J, Jeuken M., 2013. Assessing the impacts of livestock production on biodiversity in rangeland ecosystems. Proceedings of the National Academy of Sciences of the USA 110: 20900–20905. doi: 10.1073/pnas.1011013108
Baeza S, Lezama F, Piñeiro G, Altesor A, Paruelo JM., 2010. Spatial variability of above-ground net primary production in Uruguayan grasslands: a remote sensing approach. Applied Vegetation Science 13: 72–85. doi: 10.1111/j.1654-109X.2009.01051.x
Barrachina M, Cristóbal J, Tulla AF., 2015. Estimating above-ground biomass on mountain meadows and pastures through remote sensing. International Journal of Applied Earth Observation and Geoinformation 38: 184–192. doi: 10.1016/j.jag.2014.12.002
Bella D, Faivre R, Ruget F, Seguin B, Guérif M, Combal B, Weiss M, Rebella C., 2004. Remote sensing capabilities to estimate pasture production in France. International Journal of Remote Sensing 25: 5359–5372. doi: 10.1080/01431160410001719849
Ben El Mostafa S, Haloui B, Berrichi A., 2001. Contribution à l’étude de la végétation steppique du Maroc Oriental: Transect Jerrada - Figuig. Acta Botanica Malacitana 26: 295–301.
Bénié GB, Kaboré SS, Goïta K, Courel MF., 2005. Remote sensing-based spatio-temporal modeling to predict biomass in Sahelian grazing ecosystem. Ecological Modelling 184: 341–354. doi: 10.1016/j.ecolmodel.2004.10.012
Butterfield H, Malmstrom C., 2004. Phenological changes in the relationship between NDVI and aboveground biomass in California annual grasslands. In: Proceedings of the Ecological Society of America 2004 Annual Meeting, Portland, Oregon, USA, 1–6 August 2004.
Cabrera-Bosquet L, Molero G, Stellacci AM, Bort J, Nogués S, Araus JL., 2011. NDVI as a potential tool for predicting biomass, plant nitrogen content and growth in wheat genotypes subjected to different water and nitrogen conditions. Cereal Research Communications 39: 147–159. doi: 10.1556/CRC.39.2011.1.15
Casady G, van Leeuwen W, Reed B., 2013. Estimating winter annual biomass in the Sonoran and Mojave deserts with satellite-and ground-based observations. Remote Sensing 5: 909–926. doi: 10.3390/rs5020909
Cho MA, Skidmore AK., 2009. Hyperspectral predictors for monitoring biomass production in Mediterranean mountain grasslands: Majella National Park, Italy. International Journal of Remote Sensing 30: 499–515. doi: 10.1080/01431160802392596
Devineau J-L, Fournier A, Lamachère J-M., 1986. Programme d’évaluation préliminaire SPOT. PEPS no. 149–SPOT Oursi. Ouagadougou: Centre ORSTOM.
Diouf AA, Brandt M, Verger A, El Jarroudi M, Djaby B, Fensholt R, Ndione JA, Tychon B., 2015. Fodder biomass monitoring in Sahelian rangelands using phenological metrics from FAPAR time series. Remote Sensing 7: 9122–9148. doi: 10.3390/rs70709122
Dutilly-Diane C., 2006. Review of the literature on pastoral economics and marketing: North Africa report prepared for the World Initiative for Sustainable Pastoralism. XXXX: IUCN EARO
ESRI, DigitalGlobe, GeoEye, Earthstar Geographics, CNES/ Airbus DS, USDA, USGS, AeroGRID, IGN, and the GIS User Community. 2014. World Imagery
Flombaum P, Sala OE., 2007. A non-destructive and rapid method to estimate biomass and aboveground net primary production in arid environments. Journal of Arid Environments 69: 352–358. doi: 10.1016/j.jaridenv.2006.09.008
Frank AB, Karn JF., 2003. Vegetation indices, CO2 flux, and biomass for Northern Plains grasslands. Journal of Range Management 56: 382–387. doi: 10.2307/4004043
Gaitán JJ, Bran D, Oliva G, Ciari G, Nakamatsu V, Salomone J, Ferrante D, Buono G, Massara V, Humano G, Celdrán D, Opazo W, Maestre FT., 2013. Evaluating the performance of multiple remote sensing indices to predict the spatial variability of ecosystem structure and functioning in Patagonian steppes. Ecological Indicators 34: 181–191. doi: 10.1016/j.ecolind.2013.05.007
Gao Y, Liu X, Min C, He H, Yu G, Liu M, Zhu X, Wang Q., 2013. Estimation of the north–south transect of eastern China forest biomass using remote sensing and forest inventory data. International Journal of Remote Sensing 34: 5598–5610. doi: 10.1080/01431161.2013.794985
Garba I., 2016. Modélisaion spatiale de la production fourragère en zone pastorale nigérienne. PhD thesis, Université de Liège, Belgium.
Gauquelin T, Jalut G, Iglesias M, Valle F, Fromard F, Dedoubat JJ., 1996. Phytomass and carbon storage in the Stipa tenacissima steppes of the Baza basin, Andalusia, Spain. Journal of Arid Environments 34: 277–286. doi: 10.1006/jare.1996.0109
Gommes R, El Hairech T, Rosillon D, Balaghi R, Kanamaru H., 2009. Impact of climate change on agricultural yields in Morocco. Rome: Food and Agriculture Organization of the United Nations.
Gong Z, Kawamura K, Ishikawa N, Goto M, Wulan T, Alateng D, Yin T, Ito Y., 2015. MODIS normalized difference vegetation index (NDVI) and vegetation phenology dynamics in the Inner Mongolia grassland. Solid Earth 6: 1185–1194. doi: 10.5194/se-6-1185-2015
Jenkerson CB, Maiersperger T, Schmidt G., 2010. eMODIS: a user-friendly data source. Open-File Report 2010–1055. Reston, VA: US Geological Survey.
Jia W, Liu M, Yang Y, He H, Zhu X, Yang F, Yin C, Xiang W., 2016. Estimation and uncertainty analyses of grassland biomass in northern China: comparison of multiple remote sensing data sources and modeling approaches. Ecological Indicators 60: 1031–1040. doi: 10.1016/j.ecolind.2015.09.001
Jin Y, Yang X, Qiu J, Li J, Gao T, Wu Q, Zhao F, Ma H, Yu H, Xu B., 2014. Remote sensing-based biomass estimation and its spatio-temporal variations in temperate grassland, northern China. Remote Sensing 6: 1496–1513. doi: 10.3390/rs6021496
Johansen B, Tømmervik H., 2014. The relationship between phytomass, NDVI and vegetation communities on Svalbard. International Journal of Applied Earth Observation and Geoinformation 27: 20–30. doi: 10.1016/j.jag.2013.07.001
Kawamura K, Akiyama T, Watanabe O, Hasegawa H, Zhang FP, Yokota H, Wang SP., 2003. Estimation of aboveground biomass in Xilingol steppe, Inner Mongolia using NOAA/NDVI. Grassland Science 49: 1–9.
Kawamura K, Akiyama T, Yokota H, Tsutsumi M, Yasuda T, Watanabe O, Wang S., 2005. Comparing MODIS vegetation indices with AVHRR NDVI for monitoring the forage quantity and quality in Inner Mongolia grassland, China. Grassland Science 51: 33–40. doi: 10.1111/j.1744-697X.2005.00006.x
Kirmse RD, Norton BE., 1985. Comparison of the reference unit method and dimension analysis methods for two large shrubby species in the Caatinga woodlands. Journal of Range Management 38: 425–428. doi: 10.2307/3899714
Le Houérou HN., 1995. Bioclimatologie et biogéographie des steppes arides du Nord de l’Afrique: diversité biologique, développement durable et désertisation. Options méditerranéennes. Série B, Études et recherches 10. Montpellier: CIHEAM-IAMM.
Li S, Potter C, Hiatt C., 2012. Monitoring of net primary production in California rangelands using Landsat and MODIS satellite remote sensing. Natural Resources 3: 56–65. doi: 10.4236/nr.2012.32009
Louhaichi M, Ghassali F, Salkini AK, Petersen SL., 2012. Effect of sheep grazing on rangeland plant communities: case study of landscape depressions within Syrian arid steppes. Journal of Arid Environments 79: 101–106. doi: 10.1016/j.jaridenv.2011.11.024
Mahyou H, Tychon B, Balaghi R, Louhaichi M, Mimouni J., 2016. A knowledge-based approach for mapping land degradation in the arid rangelands of North Africa. Land Degradation and Development 27: 1574–1585. doi: 10.1002/ldr.2470
Mašková Z, Zemek F, Květ J., 2008. Normalized difference vegetation index (NDVI) in the management of mountain meadows. Boreal Environment Research 13: 417–432.
Millennium Ecosystem Assessment. 2005. Ecosystems and human well-being: desertification synthesis. Washington, DC: World Resources Institute.
Niamir-Fuller M, Kerven C, Reid R, Milner-Gulland E., 2012. Co-existence of wildlife and pastoralism on extensive rangelands: competition or compatibility? Pastoralism: Research, Policy and Practice 2: 8. doi: 10.1186/2041-7136-2-8
Numata I, Roberts DA, Chadwick OA, Schimel J, Sampaio FR, Leonidas FC, Soares JV., 2007. Characterization of pasture biophysical properties and the impact of grazing intensity using remotely sensed data. Remote Sensing of Environment 109: 314–327. doi: 10.1016/j.rse.2007.01.013
Pettorelli N, Vik JO, Mysterud A, Gaillard J-M, Tucker CJ, Stenseth NC., 2005. Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends in Ecology and Evolution 20: 503–510. doi: 10.1016/j.tree.2005.05.011
Prince SD., 1991. Satellite remote sensing of primary production: comparison of results for Sahelian grasslands 1981–1988. International Journal of Remote Sensing 12: 1301–1311. doi: 10.1080/01431169108929727
Raynolds MK, Walker DA, Maier HA., 2006. NDVI patterns and phytomass distribution in the circumpolar Arctic. Remote Sensing of Environment 102: 271–281. doi: 10.1016/j.rse.2006.02.016
Reeves MC, Winslow JC, Running SW., 2001. Mapping weekly rangeland vegetation productivity using MODIS algorithms Journal of Range Management 54: 90–105.
Reeves MC, Zhao M, Running SW., 2006. Applying improved estimates of MODIS productivity to characterize grassland vegetation dynamics. Rangeland Ecology and Management 59: 1–10. doi: 10.2111/1551-5028(2006)59[001:AIEOMP]2.0.CO;2
Rouse J, Haas R, Schell J, Deering D., 1973. Monitoring vegetation systems in the Great Plains with ERTS. In: Freden SC, Mercanti EP, Becker MA, (eds), Third Earth Resources Technology Satellite-1 Symposium, vol. 1: Technical presentations. NASA SP-351. Washington, DC: NASA. pp 309–317.
Santin-Janin H, Garel M, Chapuis J-L, Pontier D., 2009. Assessing the performance of NDVI as a proxy for plant biomass using non-linear models: a case study on the Kerguelen archipelago. Polar Biology 32: 861–871. doi: 10.1007/s00300-009-0586-5
Shoshany M, Karnibad L., 2011. Mapping shrubland biomass along Mediterranean climatic gradients: the synergy of rainfall-based and NDVI-based models. International Journal of Remote Sensing 32: 9497–9508. doi: 10.1080/01431161.2011.562255
Society for Range Management. 1989. A glossary of terms used in range management. Denver: Society for Range Management.
Stoddart LA, Smith AD, Box TW., 1975. Range management (3rd edn). New York: McGraw-Hill.
Todd SW, Hoffer RM, Milchunas DG., 1998. Biomass estimation on grazed and ungrazed rangelands using spectral indices. International Journal of Remote Sensing 19: 427–438. doi: 10.1080/014311698216071
Tsalyuk M, Kelly M, Koy K, Getz WM, Butterfield HS., 2015. Monitoring the impact of grazing on rangeland conservation easements using MODIS vegetation indices. Rangeland Ecology and Management 68: 173–185. doi: 10.1016/j.rama.2015.01.006
Tucker CJ., 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment 8: 127–150. doi: 10.1016/0034-4257(79)90013-0
Tucker CJ., 1980. Remote sensing of leaf water content in the near infrared. Remote Sensing of Environment 10: 23–32. doi: 10.1016/0034-4257(80)90096-6
Tucker CJ, Sellers PJ., 1986. Satellite remote sensing of primary production. International Journal of Remote Sensing 7: 1395–1416. doi: 10.1080/01431168608948944
Tucker CJ, Vanpraet C, Boerwinkel E, Gaston A., 1983. Satellite remote sensing of total dry matter production in the Senegalese Sahel. Remote Sensing of Environment 13: 461–474. doi: 10.1016/0034-4257(83)90053-6
Tucker CJ, Vanpraet CL, Sharman MJ, van Ittersum G., 1985. Satellite remote sensing of total herbaceous biomass production in the Senegalese Sahel: 1980–1984. Remote Sensing of Environment 17: 233–249. doi: 10.1016/0034-4257(85)90097-5
Vescovo L, Wohlfahrt G, Balzarolo M, Pilloni S, Sottocornola M, Rodeghiero M, Gianelle D., 2012. New spectral vegetation indices based on the near-infrared shoulder wavelengths for remote detection of grassland phytomass. International Journal of Remote Sensing 33: 2178–2195. doi: 10.1080/01431161.2011.607195
Wilm HG, Costello DF, Klipple GE., 1944. Estimating forage yield by the double-sampling method. Agronomy Journal 36: 194–203. doi: 10.2134/agronj1944.00021962003600030003x
Xu B, Yang XC, Tao WG, Miao JM, Yang Z, Liu HQ, Jin YX, Zhu XH, Qin ZH, Lv HY, Li JY. 2013. MODIS-based remote-sensing monitoring of the spatiotemporal patterns of China’s grassland vegetation growth. International Journal of Remote Sensing 34: 3867–3878. doi: 10.1080/01431161.2012.762696
Yang CM, Lee YJ, Hong KY, Fu-Hsing H., 2007. Estimation of forage production of nilegrass using vegetation reflectance. Crop Science 47: 1647–1651. doi: 10.2135/cropsci2006.10.0680
Zucca C, Wu W, Dessena L, Mulas M., 2015. Assessing the Effectiveness of land restoration interventions in dry lands by multitemporal remote sensing–a case study in Ouled DLIM (Marrakech, Morocco). Land Degradation and Development 26: 80–91. doi: 10.1002/ldr.2307