A comparative study on satellite- and model-based crop phenology in West Africa

Remote Sensing

Volumn 6, Issue 2, 2014, Pages 1367-1389

  Vintrou, Elodie ^a   Bégué, Agnès ^a   Baron, Christian ^a   Saad, Alexandre ^a   Seen, Danny Lo ^a   Traoré, Seydou B ^b  

^a UMR TETIS   (France)

^b Centre Regional Agrhymet   (Niger)

Author keywords

Crops; Mali; MODIS; Phenology; Practices; SARRA H model

Indexed keywords

EID: 84894633314     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs6021367     Document Type: Article

References (48)

1. Becker-Reshef, I.; Justice, C.; Sullivan, M.; Vermote, E.; Tucker, C. Monitoring global croplands with coarse resolution earth observations: The global agriculture monitoring (GLAM) project. Remote Sens. 2010, 2, 1589-1609.
2. Sakamoto, T.; Yokozawa, M.; Toritani, H.; Shibayama, M.; Ishitsuka, N. A crop phenology detection method using time-series MODIS data. Remote Sens. Environ. 2005, 96, 366-374.
3. Zhang, X.; Friedl, M.A.; Schaaf, C.B.; Strahler, A.H.; Liu, Z. Monitoring the response of vegetation phenology to precipitation in Africa by coupling MODIS and TRMM instruments. J. Geophys. Res. Atmos. 2005, 110, doi:10.1029/2004JD005263.
4. Rembold, F.; Atzberger, C.; Savin, I.; Rojas, O. Using low resolution satellite imagery for yield prediction and yield anomaly detection. Remote Sens. 2013, 5, 1704-1733.
5. Kathuroju, N.; White, M.A.; Symanzik, J.; Schwartz, M.D.; Powell, J.A. On the use of the advanced very high resolution radiometer for development of prognostic land surface phenology models. Ecol. Model. 2007, 201, 144-156.
6. Reed, B.C.; Brown, J.F.; VanderZee, D.; Loveland, T.R.; Merchant, J.W. Measuring phenological variability from satellite imagery. J. Veg. Sci. 1994, 5, 703-714.
7. Zhang, X.; Friedl, M.; Schaaf, C. Sensitivity of vegetation phenology detection to the temporal resolution of satellite data. Int. J. Remote Sens. 2009, 30, 2061-2074.
8. Fritz, S.; Massart, M.; Savin, I.; Gallego, J.; Rembold, F. The use of modis data to derive acreage estimations for larger fields: A case study in the south-western rostov Region of Russia. Int. J. Appl. Earth Obs. Geoinf. 2008, 10, 453-466.
9. Atzberger, C. Advances in remote sensing of agriculture: Context description, existing operational monitoring systems and major information needs. Remote Sens. 2013, 5, 949-981.
10. White, M.A.; de Beurs, K.M.; Didan, K.; Inouye, D.W.; Richardson, A.D. Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006. Glob. Chang. Biol. 2009, 15, 2335-2359.
11. Schwartz, M.D.; Hanes, J.M. Intercomparing multiple measures of the onset of spring in Eastern North America. Int. J. Climatol. 2010, 30, 1614-1626.
12. Hmimina, G.; Dufrêne, E.; Pontailler, J.-Y.; Delpierre, N.; Aubinet, M. Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements. Remote Sens. Environ. 2013, 132, 145-158.
13. Atkinson, P.M.; Jeganathan, C.; Dash, J.; Atzberger, C. Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology. Remote Sens. Environ. 2012, 123, 400-417.
14. Funk, C.; Budde, M.E. Phenologically-tuned MODIS NDVI-based production anomaly estimates for Zimbabwe. Remote Sens. Environ. 2009, 113, 115-125.
15. Rojas, O.; Rembold, F.; Delincé, J.; Léo, O. Using the NDVI as auxiliary data for rapid quality assessment of rainfall estimates in Africa. Int. J. Remote Sens. 2011, 32, 3249-3265.
16. Atzberger, C.; Klisch, A.; Mattiuzzi, M.; Vuolo, F. Phenological metrics derived over the european continent from NDVI3G data and MODIS time series. Remote Sens. 2013, 6, 257-284.
17. Balme, M.; Galle, S.; Lebel, T. Démarrage de la saison des pluies au sahel: Variabilité aux échelles hydrologique et agronomique, analysée à partir des données epsat-Niger. Sécheresse 2005, 16, 15-22.
18. Heumann, B.W.; Seaquist, J.; Eklundh, L.; Jonsson, P. Avhrr derived phenological change in the Sahel and Soudan, Africa, 1982-2005. Remote Sens. Environ. 2007, 108, 385-392.
19. Wessels, K.; Steenkamp, K.; von Maltitz, G.; Archibald, S. Remotely sensed vegetation phenology for describing and predicting the biomes of South Africa. Appl. Veg. Sci. 2010, 14, 49-66.
20. Brown, M.E.; de Beurs, K.M. Evaluation of multi-sensor semi-arid crop season parameters based on NDVI and rainfall. Remote Sens. Environ. 2008, 112, 2261-2271.
21. Baron, C.; Sultan, B.; Balme, M.; Sarr, B.; Traoré, S.B. From GCM grid cell to agricultural plot: Scale issues affecting modelling of climate impact. Philos. Trans. R. Soc. B: Biol. Sci. 2005, 360, 2095-2108.
22. Oettli, P.; Sultan, B.; Baron, C.; Vrac, M. Are regional climate models relevant for crop yield prediction in West Africa? Environ. Res. Lett. 2011, 6, doi:10.1088/1748-9326/6/1/014008.
23. Zhang, X.; Friedl, M.A.; Schaaf, C.B.; Strahler, A.H.; Hodges, J.C.F. Monitoring vegetation phenology using modis. Remote Sens. Environ. 2003, 84, 471-475.
24. Traoré, S.B.; Alhassane, A.; Muller, B.; Kouressy, M.; Somé, L. Characterizing and modeling the diversity of cropping situations under climatic constraints in west africa. Atmos. Sci. Lett. 2011, 12, 89-95.
25. Kouressy, M.; Dingkuhn, M.; Vaksmann, M.; Heinemann, A.B. Adaptation to diverse semi-arid environments of sorghum genotypes having different plant type and sensitivity to photoperiod. Agric. For. Meteorol. 2008, 148, 357-371.
26. Soumare, M.; Bazile, D.; Vaksmann, M.; Kouressy, M.; Diallo, K. Agroecosystemic diversity and future of traditional cereals in the Malian cotton belt. Divers. Agroecosystemique Devenir Cereales Tradit. Sud Mali 2008, 17, 79-85.
27. Vintrou, E.; Soumaré, M.; Bernard, S.; Bégué, A.; Baron, C. Mapping fragmented agricultural systems in the Sudano-Sahelian environments of Africa using random forest and ensemble metrics of coarse resolution MODIS imagery. Photogramm. Eng. Remote Sens. 2012, 78, 839-848.
28. Zhang, X.; Friedl, M.A.; Schaaf, C.B. Global vegetation phenology from moderate resolution imaging spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements. J. Geophys. Res 2006, 111, doi:10.1029/2006JG000217.
29. Ganguly, S.; Friedl, M.A.; Tan, B.; Zhang, X.; Verma, M. Land surface phenology from MODIS: Characterization of the collection five global land cover dynamics product. Remote Sens. Environ. 2010, 114, 1805-1816.
30. LP DAAC. Land Cover Dynamics Yearly l3 Global 500 m SIN Grid. Available online: https://lpdaac.usgs.gov/products/modis_products_table/mcd12q2 (accessed on 15 March 2012).
31. Huete, A.; Didan, K.; Miura, T.; Rodriguez, E.P.; Gao, X. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens. Environ. 2002, 83, 195-213.
32. Beck, P.S.; Atzberger, C.; Høgda, K.A.; Johansen, B.; Skidmore, A.K. Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI. Remote Sens. Environ. 2006, 100, 321-334.
33. Maatoug, L.; Arvor, D.; Simoes, M.; Bégué, A. Monitoring Crop Phenology in Mato Grosso (Brazil) Using Remote Sensing Data. In Proceedings of the 15th Sociedad Especialistas Latino-Americana en PErcepción Remota (SELPER) Symposium, French Guiana, France, 19-23 November 2012.
34. Vintrou, E.; Bégué, A.; Baron, C.; Lo Seen, D.; Saad, A. Analysis MODIS Phenometrics Quality on Cropped Land in West Africa. In Proceedings of the ESA Sentinel-2 Preparatory Symposium, Frascati, Italy, 23-27 April 2012.
35. Vintrou, E.; Desbrosse, A.; Bégué, A.; Traoré, S.B.; Baron, C. Crop area mapping in West Africa using landscape stratification of MODIS time series and comparison with existing global land products. Int. J. Appl. Earth Obs. Geoinf. 2012, 14, 83-93.
36. Dingkuhn, M.; Baron, C.; Bonnal, V.; Maraux, F.; Sarr, B. Decision Support Tools for Rainfed Crops in the Sahel at the Plot and Regional Scales. In A Practical Guide to Decision-Support Tools for Agricultural Productivity and Soil Fertility Enhancement in Sub-Saharan Africa, IFDC, CTA; Struif-Bontkes, T.E., Wopereis, M.C.S., Eds.; International Fertilizer Development Center: Muscle Shoals, AL, USA, 2003; pp. 127-139.
37. Baron, C.; Clopes, A.; Perez, P.; Muller, B.; Maraux, F. Users Manuals for the: Sarramet (45 p.), Sarrabil (35 p.) and Sarrazon (29 p.) Softwares; CIRAD: Montpellier, France, 1996.
38. Sultan, B.; Baron, C.; Dingkuhn, M.; Sarr, B.; Janicot, S. Agricultural impacts of large-scale variability of the West African monsoon. Agric. For. Meteorol. 2005, 128, 93-110.
39. Marteau, R.; Sultan, B.; Moron, V.; Alhassane, A.; Baron, C. The onset of the rainy season and farmers' sowing strategy for pearl millet cultivation in Southwest Niger. Agric. For. Meteorol. 2011, 151, 1356-1369.
40. Dingkuhn, M.; Kouressy, M.; Vaksmann, M.; Clerget, B.; Chantereau, J. A model of sorghum photoperiodism using the concept of threshold-lowering during prolonged appetence. Eur. J. Agron 2008, 28, 74-89.
41. Prince, S.D.; Goward, S.N. Global primary production: A remote sensing approach. J. Biogeogr. 1995, 22, 815-835.
42. Advances in Integrated Soil Fertility Management in Sub Saharan Africa: Challenges and Opportunities; Bationo, A., Waswa, B., Kihara, J., Kimetu, J, Eds; Springer: Berlin, Germany, 2007.
43. Kouressy, M.; Traoré, S.B.; Vaksmann, M.; Grum, M.; Maikano, I. Adaptation of Malian sorghums to climate variability. Cah. Agric. 2008, 17, 95-100.
44. Sultan, B.; Janicot, S.; Diedhiou, A. The West African monsoon dynamics. Part I: Documentation of intraseasonal variability. J. Clim. 2003, 16, 3389-3406.
45. Sultan, B.; Janicot, S.; Diedhiou, A. The West African monsoon dynamics. Part II: The "Preonset" and the "Onset" of the summer monsoon. J. Clim. 2003, 16, 3407-3427.
46. Ramarohetra, J.; Sultan, B.; Baron, C.; Gaiser, T.; Gosset, M. How satellite rainfall estimate errors may impact rainfed cereal yield simulation in West Africa. Agric. For. Meteorol. 2013, 180, 118-131.
47. Xiao, W.; Sun, Z.; Wang, Q.; Yang, Y. Evaluating MODIS phenology product for rotating croplands through ground observations. J. Appl. Remote Sens. 2013, 7, doi:10.1117/1.JRS.7.073562.
48. Buerkert, A.; Moser, M.; Kumar, A.K.; Fuerst, P.; Becker, K. Variation in grain quality of pearl millet from Sahelian West Africa. Field Crop. Res. 2001, 69, 1-11.