Examining the NDVI-rainfall relationship in the semi-arid Sahel using geographically weighted regression

Journal of Arid Environments

Volumn 146, Issue , 2017, Pages 64-74

  Georganos, Stefanos ^a   Abdi, Abdulhakim M ^a   Tenenbaum, David E ^a   Kalogirou, Stamatis ^b  

^a LUND UNIVERSITY   (Sweden)

^b HAROKOPIO UNIVERSITY   (Greece)

Author keywords

Drylands; Earth observation; Geographically weighted regression; Non stationarity; Sahel; Scale dependency

Indexed keywords

DRYLAND FARMING; GROWING SEASON; NDVI; RAINFALL; REGRESSION ANALYSIS; SCALE EFFECT; SEMIARID REGION; TEMPORAL VARIATION; VEGETATION COVER; WETLAND;

SAHEL [SUB-SAHARAN AFRICA];

EID: 85021799252     PISSN: 01401963     EISSN: 1095922X     Source Type: Journal    
DOI: 10.1016/j.jaridenv.2017.06.004     Document Type: Article

References (43)

1. Akaike, H., A new look at the statistical model identification. IEEE Trans. Autom. Contr 19 (1974), 716–723.
2. Anyamba, A., Tucker, C.J., Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981–2003. J. Arid. Environ. 63 (2005), 596–614.
3. Brandt, M., Hiernaux, P., Tagesson, T., Verger, A., Rasmussen, K., Diouf, A.A., Mbow, C., Mougin, E., Fensholt, R., Woody plant cover estimation in drylands from Earth Observation based seasonal metrics. Remote Sens. Environ. 172 (2016), 28–38, 10.1016/j.rse.2015.10.036.
4. Brandt, M., Mbow, C., Diouf, A.A., Verger, A., Samimi, C., Fensholt, R., Ground-and satellite-based evidence of the biophysical mechanisms behind the greening Sahel. Glob. Chang. Biol. 21 (2015), 1610–1620.
5. Brunsdon, C., Fotheringham, S., Charlton, M., Geographically weighted regression. J. R. Stat. Soc. Ser. D. (The Stat. 47 (1998), 431–443.
6. Dardel, C., Kergoat, L., Hiernaux, P., Mougin, E., Grippa, M., Tucker, C.J., Re-greening Sahel: 30 years of remote sensing data and field observations (Mali, Niger). Remote Sens. Environ. 140 (2014), 350–364, 10.1016/j.rse.2013.09.011.
7. Eklundh, L., Olsson, L., Vegetation index trends for the african Sahel 1982–1999. Geophys. Res. Lett., 30, 2003.
8. Elgubshawi, A.A.I., Soil Degradation: its Aspects and Modelling a Case Study of Northeast Nuba Mountain South Kordofan State, Sudan. 2008, Institute of G. Ecology and E. protection Prof. Dr. R. Gloaguen TU Bergakademie, Institute of Geology.
9. Fabricante, I., Oesterheld, M., Paruelo, J.M., Annual and seasonal variation of NDVI explained by current and previous precipitation across Northern Patagonia. J. Arid. Environ. 73 (2009), 745–753, 10.1016/j.jaridenv.2009.02.006.
10. Fensholt, R., Proud, S.R., Evaluation of earth observation based global long term vegetation trends—comparing GIMMS and MODIS global NDVI time series. Remote Sens. Environ. 119 (2012), 131–147.
11. Fensholt, R., Rasmussen, K., Analysis of trends in the Sahelian “rain-use efficiency”using GIMMS NDVI, RFE and GPCP rainfall data. Remote Sens. Environ. 115 (2011), 438–451.
12. Fotheringham, A.S., Brunsdon, C., Charlton, M., Geographically Weighted Regression: the Analysis of Spatially Varying Relationships. 2003, John Wiley & Sons.
13. Fotheringham, A.S., Charlton, M.E., Brunsdon, C., Spatial variations in school performance: a local analysis using geographically weighted regression. Geogr. Environ. Model 5 (2001), 43–66.
14. Fox, P., Rockström, J., Supplemental irrigation for dry-spell mitigation of rainfed agriculture in the Sahel. Agric. Water Manag. 61 (2003), 29–50, 10.1016/S0378-3774(03)00008-8.
15. Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S., Husak, G., Rowland, J., Harrison, L., Hoell, A., et al. The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes. Sci. data, 2, 2015.
16. Gao, J., Li, S., Detecting spatially non-stationary and scale-dependent relationships between urban landscape fragmentation and related factors using geographically weighted regression. Appl. Geogr. 31 (2011), 292–302.
17. Gao, Y., Huang, J., Li, S., Li, S., Spatial pattern of non-stationarity and scale-dependent relationships between NDVI and climatic factors—a case study in Qinghai-Tibet Plateau, China. Ecol. Indic. 20 (2012), 170–176.
18. Gaughan, A.E., Waylen, P.R., Spatial and temporal precipitation variability in the Okavango–Kwando–Zambezi catchment, southern Africa. J. Arid. Environ. 82 (2012), 19–30.
19. Hameed, N.A., Bannari, A., The relationship between vegetation and rainfall in Central Sudan. Int. J. Remote Sens. Appl. 6 (2016), 30–40, 10.14355/ijrsa.2016.06.004.
20. Herrmann, S.M., Anyamba, A., Tucker, C.J., Recent trends in vegetation dynamics in the African Sahel and their relationship to climate. Glob. Environ. Chang. 15 (2005), 394–404, 10.1016/j.gloenvcha.2005.08.004.
21. Hickler, T., Eklundh, L., Seaquist, J.W., Smith, B., Ardö, J., Olsson, L., Sykes, M.T., Sjöström, M., Precipitation controls Sahel greening trend. Geophys. Res. Lett., 32, 2005.
22. Hu, M., Li, Z., Wang, J., Jia, L., Liao, Y., Lai, S., Guo, Y., Zhao, D., Yang, W., Determinants of the incidence of hand, foot and mouth disease in China using geographically weighted regression models. PLoS One, 7, 2012, e38978.
23. Huber, S., Fensholt, R., Rasmussen, K., Water availability as the driver of vegetation dynamics in the African Sahel from 1982 to 2007. Glob. Planet. Change 76 (2011), 186–195, 10.1016/j.gloplacha.2011.01.006.
24. Kalogirou, S., The Statistical Analysis and Modelling of Internal Migration Flows within England and Wales. 2003.
25. Kalogirou, S., Kalogirou, M.S., Package “lctools”. 2015.
26. Latham, J., Cumani, R., Rosati, I., Bloise, M., Global Land Cover Share (GLC-SHARE) Database Beta-release Version 1.0-2014. 2014, FAO, Rome, Italy.
27. Lee, E., He, Y., Zhou, M., Liang, J., Potential feedback of recent vegetation changes on summer rainfall in the Sahel. Phys. Geogr. 36 (2015), 449–470, 10.1080/02723646.2015.1120139.
28. Martiny, N., Camberlin, P., Richard, Y., Philippon, N., Compared regimes of NDVI and rainfall in semi-arid regions of Africa. Int. J. Remote Sens. 27 (2006), 5201–5223, 10.1080/01431160600567787.
29. Moran, P.A.P., The interpretation of statistical maps. J. R. Stat. Soc. Ser. B 10 (1948), 243–251.
30. Nakaya, T., Local spatial interaction modelling based on the geographically weighted regression approach. GeoJournal 53 (2001), 347–358.
31. Nakaya, T., Fotheringham, A.S., Charlton, M., Brunsdon, C., Semiparametric Geographically Weighted Generalised Linear Modelling in GWR 4.0. 2009.
32. Nicholson, S.E., Davenport, M.L., Malo, A.R., A comparison of the vegetation response to rainfall in the Sahel and East Africa, using normalized difference vegetation index from NOAA AVHRR. Clim. Change 17 (1990), 209–241.
33. Olsson, L., Eklundh, L., Ardö, J., A recent greening of the Sahel—trends, patterns and potential causes. J. Arid. Environ. 63 (2005), 556–566.
34. Osborne, P.E., Foody, G.M., Suárez-Seoane, S., Non-stationarity and local approaches to modelling the distributions of wildlife. Divers. Distrib. 13 (2007), 313–323, 10.1111/j.1472-4642.2007.00344.x.
35. Pinzon, J.E., Tucker, C.J., A non-stationary 1981-2012 AVHRR NDVI3g time series. Remote Sens. 6 (2014), 6929–6960, 10.3390/rs6086929.
36. Propastin, P.A., Spatial non-stationarity and scale-dependency of prediction accuracy in the remote estimation of LAI over a tropical rainforest in Sulawesi, Indonesia. Remote Sens. Environ. 113 (2009), 2234–2242.
37. Propastin, P., Kappas, M., Erasmi, S., Application of geographically weighted regression to investigate the impact of scale on prediction uncertainty by modelling relationship between vegetation and climate. Int. J. Spat. data infrastructures Res. 3 (2008), 73–94.
38. Tian, F., Fensholt, R., Verbesselt, J., Grogan, K., Horion, S., Wang, Y., Evaluating temporal consistency of long-term global NDVI datasets for trend analysis. Remote Sens. Environ. 163 (2015), 326–340, 10.1016/j.rse.2015.03.031.
39. Udelhoven, T., Stellmes, M., del Barrio, G., Hill, J., Assessment of rainfall and NDVI anomalies in Spain (1989–1999) using distributed lag models. Int. J. Remote Sens. 30 (2009), 1961–1976, 10.1080/01431160802546829.
40. Vrieling, A., De Leeuw, J., Said, M.Y., Length of growing period over africa: variability and trends from 30 years of NDVI time series. Remote Sens. 5 (2013), 982–1000, 10.3390/rs5020982.
41. Wang, Q., Ni, J., Tenhunen, J., Application of a geographically-weighted regression analysis to estimate net primary production of Chinese forest ecosystems. Glob. Ecol. Biogeogr. 14 (2005), 379–393.
42. Wang, T., Kou, X., Xiong, Y., Mou, P., Wu, J., Ge, J., Temporal and spatial patterns of NDVI and their relationship to precipitation in the Loess Plateau of China. Int. J. Remote Sens. 31 (2010), 1943–1958, 10.1080/01431160902929263.
43. Zhao, Z., Gao, J., Wang, Y., Liu, J., Li, S., Exploring spatially variable relationships between NDVI and climatic factors in a transition zone using geographically weighted regression. Theor. Appl. Climatol. 120 (2015), 507–519.