Dryland vegetation phenology across an elevation gradient in Arizona, USA, investigated with fused MODIS and landsat data

Remote Sensing of Environment

Volumn 144, Issue , 2014, Pages 85-97

  Walker, J J ^a   de Beurs, K M ^b   Wynne, R H ^c  

^a SOUTH DAKOTA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF OKLAHOMA   (United States)

^c VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Data fusion; Dryland phenology; EVI; Landsat; MODIS; NDVI; STARFM

Indexed keywords

EID: 84893568430     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2014.01.007     Document Type: Article

References (65)

1. Adams H.D., Guardiola-Claramonte M., Barron-Gafford G.A., Villegas J.C., Breshears D.D., Zou C.B., et al. Temperature sensitivity of drought-induced tree mortality portends increased regional die-off under global-change-type drought. Proceedings of the National Academy of Sciences of the United States of America 2009, 106:7063-7066. 10.1073/pnas.0901438106.
2. Allen C.D., Breshears D.D. Drought-induced shift of a forest-woodland ecotone: Rapid landscape response to climate variation. Proceedings of the National Academy of Sciences of the United States of America 1998, 95:14839-14842.
3. Allen C.D., Macalady A.K., Chenchouni H., Bachelet D., McDowell N., Vennetier M., et al. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. Forest Ecology and Management 2010, 259:660-684. 10.1016/j.foreco.2009.09.001.
4. Asner G.P., Borghi C.E., Ojeda R.A. Desertification in central Argentina: Changes in ecosystem carbon and nitrogen from imaging spectroscopy. Ecological Applications 2003, 13:629-648.
5. Breshears D.D., Barnes F.J. Interrelationships between plant functional types and soil moisture heterogeneity for semiarid landscapes within the grassland/forest continuum: A unified conceptual model. Landscape Ecology 1999, 14:465-478.
6. Breshears D.D., Cobb N.S., Rich P.M., Price K.P., Allen C.D., Balice, et al. Regional vegetation die-off in response to global-change-type drought. Proceedings of the National Academy of Sciences of the United States of America 2005, 102:15144-15148. 10.1073/pnas.0505734102.
7. Brown J.H., Valone T.J., Curtin C.G. Reorganization of an arid ecosystem in response to recent climate change. Proceedings of the National Academy of Sciences of the United States of America 1997, 94:9729-9733.
8. Brown P.M., Wu R. Climate and disturbance forcing of episodic tree recruitment in a southwestern ponderosa pine landscape. Ecology 2005, 86:3030-3038. 10.1890/05-0034.
9. Christensen J.H., Hewitson B., Busuioc A., Chen A., Gao X., Held I., et al. Regional climate projections. Climate Change 2007: The physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change 2007, 849-940. Cambridge University Press, New York. S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor, H.I. Miller (Eds.).
10. Cleland E.E., Chuine I., Menzel A., Mooney H.A., Schwartz M.D. Shifting plant phenology in response to global change. Trends in Ecology & Evolution 2007, 22:357-365. 10.1016/j.tree.2007.04.003.
11. Clifford M.J., Cobb N.S., Buenemann M. Long-term tree cover dynamics in a pinyon-juniper woodland: Climate-change-type drought resets successional clock. Ecosystems 2011, 14:949-962. 10.1007/s10021-011-9458-2.
12. Crimmins T.M., Crimmins M.A., Bertelsen C.D. Onset of summer flowering in a 'Sky Island' is driven by monsoon moisture. The New Phytologist 2011, 191:468-479.
13. de Beurs K.M., Henebry G.M. Land surface phenology, climatic variation, and institutional change: Analyzing agricultural land cover change in Kazakhstan. Remote Sensing of Environment 2004, 89:497-509. 10.1016/j.rse.2003.11.006.
14. de Beurs K.M., Henebry G.M. Spatio-temporal statistical methods for modelling land surface phenology. Phenology of ecosystem processes: Applications in global change research 2010, 177-208. Springer Netherlands, Dordrecht. 10.1007/978-90-481-3335-2. I.L. Hudson, M.R. Keatley (Eds.).
15. Emelyanova I.V., McVicar T.R., Van Niel T.G., Li L.T., Van Dijk A.I.J.M. Assessing the accuracy of blending Landsat-MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection. Remote Sensing of Environment 2013, 133:193-209. 10.1016/j.rse.2013.02.007.
16. Friedl M., Henebry G., Reed B., Huete A., White M., Morisette J., et al. Land surface phenology: A community white paper requested by NASA 2006, (http://landportal.gsfc.nasa.gov/Documents/ESDR/Phenology_Friedl_whitepaper.pdf).
17. Gao X., Huete A.R., Ni W., Miura T. Optical-biophysical relationships of vegetation spectra without background contamination. Remote Sensing of Environment 2000, 74:609-620.
18. Gao F., Masek J., Schwaller M., Hall F. On the blending of the Landsat and MODIS surface reflectance: Predicting daily Landsat surface reflectance. IEEE Transactions on Geoscience and Remote Sensing 2006, 44:2207-2218.
19. Gaylord M.L., Kolb T.E., Wallin K.F., Wagner M.R. Seasonal dynamics of tree growth, physiology, and resin defenses in a northern Arizona ponderosa pine forest. Canadian Journal of Forest Research 2007, 37:1173-1183. 10.1139/X06-309.
20. Gitelson A.A., Kaufman Y.J., Merzlyak M.N. Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sensing of Environment 1996, 58:289-298.
21. Hilker T., Wulder M.A., Coops N.C., Seitz N., White J.C., Gao F., et al. Generation of dense time series synthetic Landsat data through data blending with MODIS using a spatial and temporal adaptive reflectance fusion model. Remote Sensing of Environment 2009, 113:1988-1999. 10.1016/j.rse.2009.05.011.
22. Huete A., Didan K., Miura T., Rodriguez E.P., Gao X., Ferreira L.G. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment 2002, 83:195-213.
23. Huete A.R., Jackson R.D. Suitability of spectral indices for evaluating vegetation characteristics on arid rangelands. Remote Sensing of Environment 1987, 23:213-232.
24. Huete A.R., Jackson R.D., Post D.F. Spectral response of a plant canopy with different soil backgrounds. Remote Sensing of Environment 1985, 17:37-53.
25. Huete A.R., Justice C., Liu H. Development of vegetation and soil indices for MODIS-EOS. Remote Sensing of Environment 1994, 49:224-234.
26. Huete A.R., Liu H.Q., Batchily K., van Leeuwen W. A comparison of vegetation indices over a global set of TM images for EOS-MODIS. Remote Sensing of Environment 1997, 59:440-451.
27. Hufkens K., Bogaert J., Dong Q.H., Lu L., Huang C.L., Ma M.G., et al. Impacts and uncertainties of upscaling of remote-sensing data validation for a semi-arid woodland. Journal of Arid Environments 2008, 72:1490-1505. 10.1016/j.jaridenv.2008.02.012.
28. Jiang Z., Huete A., Didan K., Miura T. Development of a two-band enhanced vegetation index without a blue band. Remote Sensing of Environment 2008, 112:3833-3845. 10.1016/j.rse.2008.06.006.
29. Knutson K.C., Pyke D.A. Western juniper and ponderosa pine ecotonal climate-growth relationship across landscape gradients in southern Oregon. Canadian Journal of Forest Research 2008, 38:3021-3032. 10.1139/X08-142.
30. Kremer R.G., Running S.W. Community type differentiation using NOAA/AVHRR data within a sagebrush-steppe ecosystem. Remote Sensing of Environment 1993, 46:311-318.
31. Liu H.Q., Huete A. A feedback based modification of the NDVI to minimize canopy background and atmospheric noise. IEEE Transactions on Geoscience and Remote Sensing 1995, 33:457-465.
32. Lowry J.H., Ramsey R.D., Boykin K., Bradford D., Comer P., Falzarano S., et al. Southwest Regional Gap Analysis Project: Final Report on Land Cover Mapping Methods 2005, RS/GIS Laboratory, Utah State University, Logan, Utah.
33. Lowry J., Ramsey R.D., Thomas K., Shrupp D., Sajwaj T., Kirby J., et al. Mapping moderate-scale land-cover over very large geographic areas within a collaborative framework: A case study of the Southwest Regional Gap Analysis Project (SWReGAP). Remote Sensing of Environment 2007, 108:59-73. 10.1016/j.rse.2006.11.008.
34. Lucht W. Expected retrieval accuracies of bidirectional reflectance angular sampling. Journal of Geophysical Research 1998, 103:8763-8778.
35. Lucht W., Schaaf C.B., Strahler A.H. An algorithm for the retrieval of albedo from space using semiempirical BRDF Models. IEEE Transactions on Geoscience and Remote Sensing 2000, 38:977-998.
36. Lupo F., Linderman M., Vanacker V., Bartholomé E., Lambin E.F. Categorization of land-cover change processes based on phenological indicators extracted from time series of vegetation index data. International Journal of Remote Sensing 2007, 28:2469-2483. 10.1080/01431160600921943.
37. Masek J.G., Vermote E.F., Saleous N.E., Wolfe R., Hall F.G., Huemmrich K.F., et al. A Landsat surface reflectance dataset. IEEE Geoscience and Remote Sensing Letters 2006, 3:68-72.
38. Moir W.H., Geils B., Benoit M.A., Scurlock D. Ecology of southwestern ponderosa pine forests. Songbird ecology in southwestern ponderosa pine forests: A literature review. Gen. Tech. Rep. RM-GTR-292 1997, 3-27. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, Fort Collins, CO, (152 pp.). W.M. Block, D.M. Finch (Eds.).
39. Morisette J.T., Richardson A.D., Knapp A.K., Fisher J.I., Graham E.A., Abatzoglou J., et al. Tracking the rhythm of the seasons in the face of global change: Phenological research in the 21st century. Frontiers in Ecology and the Environment 2009, 7:253-260. 10.1890/070217.
40. Mueller R.C., Scudder C.M., Porter M.E., Talbot R.T., Gehring C.A., Whitham T.G. Differential tree mortality in response to severe drought: Evidence for long-term vegetation shifts. Journal of Ecology 2005, 93:1085-1093. 10.1111/j.1365-2745.2005.01042.x.
41. National Oceanic and Atmospheric Administration (NOAA) National Climatic Data Center (NCDC) Climatological Rankings Retrieved January, 2013 from. http://www.ncdc.noaa.gov/temp-and-precip/ranks.php.
42. Peñuelas J., Filella I., Zhang X., Llorens L., Ogaya R., Lloret F., et al. Complex spatiotemporal phenological shifts as a response to rainfall changes. New Phytologist 2004, 161:837-846. 10.1111/j.1469-8137.2003.01003.x.
43. Primack R.B., Miller-Rushing A.J. Broadening the study of phenology and climate change. New Phytologist 2011, 191:307-309.
44. Reid K.D., Wilcox B.P., Breshears D.D., MacDonald L. Runoff and erosion in a piñon-juniper woodland: Influence of vegetation patches. Soil Science Society of America Journal 1999, 63:1869-1879.
45. Rich P.M., Breshears D.D., White A.B. Phenology of mixed woody-herbaceous ecosystems following extreme events: Net and differential responses. Ecology 2008, 89:342-352.
46. Safriel U., Adeel Z., Niemeijer D., Puigdefabregas J., White R., Lal R., et al. Dryland systems. The millennium ecosystem assessment series 2005, 623-662. Island Press, Washington, DC. R. Hassan, R. Scholes, N. Ash (Eds.).
47. Schaaf C.B., Gao F., Strahler A.H., Lucht W., Li X., Tsang T., et al. First operational BRDF, albedo nadir reflectance products from MODIS. Remote Sensing of Environment 2002, 83:135-148.
48. Schmidt M., Udelhoven T., Gill T., Röder A. Long term data fusion for a dense time series analysis with MODIS and Landsat imagery in an Australian Savanna. Journal of Applied Remote Sensing 2012, 6:063512. 10.1117/1.JRS.6.063512.
49. Silver C.N., Dunlap W.P. Averaging correlation coefficients: Should Fisher's z transformation be used?. Journal of Applied Psychology 1987, 72:146-148.
50. Sparks T.H., Menzel A. Observed changes in seasons: An overview. International Journal of Climatology 2002, 22:1715-1725. 10.1002/joc.821.
51. Staudenmaier M., Preston R., Sorenson P. Climate of Flagstaff, Arizona. NOAA Technical Document NWS WR-273 2007.
52. Stöckli R., Rutishauser T., Dragoni D., O'Keefe J., Thornton P.E., Jolly M., et al. Remote sensing data assimilation for a prognostic phenology model. Journal of Geophysical Research 2008, 113. G04021. 10.1029/2008JG000781.
53. Stylinski C.D., Gamon J.A., Oechel W.C. Seasonal patterns of reflectance indices, carotenoid pigments and photosynthesis of evergreen chaparral species. Oecologia 2002, 131:366-374. 10.1007/s00442-002-0905-9.
54. USGS National Gap Analysis Program Southwest Regional GAP Analysis Project-land cover descriptions 2005, RS/GIS Laboratory, College of Natural Resources, Utah State University.
55. van Leeuwen W.J.D. Monitoring the effects of forest restoration treatments on post-fire vegetation recovery with MODIS multitemporal data. Sensors 2008, 8:2017-2042. 10.3390/s8032017.
56. van Leeuwen W.J.D., Casady G.M., Neary D.G., Bautista S., Alloza J.A., Carmel Y., et al. Monitoring post-wildfire vegetation response with remotely sensed time-series data in Spain, USA and Israel. International Journal of Wildland Fire 2010, 19:75-93. 10.1071/WF08078.
57. van Mantgem P.J., Stephenson N.L., Byrne J.C., Daniels L.D., Franklin J.F., Fulé P.Z., et al. Widespread increase of tree mortality rates in the western United States. Science 2009, 323:521-524. 10.1126/science.1165000.
58. Walker J.J., de Beurs K.M., Wynne R.H., Gao F. Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology. Remote Sensing of Environment 2012, 117:381-393. 10.1016/j.rse.2011.10.014.
59. Watts J.D., Powell S.L., Lawrence R.L., Hilker T. Improved classification of conservation tillage adoption using high temporal and synthetic satellite imagery. Remote Sensing of Environment 2010, 115:66-75. 10.1016/j.rse.2010.08.005.
60. Weisberg P.J., Lingua E., Pillai R.B. Spatial patterns of pinyon-juniper woodland expansion in central Nevada. Rangeland Ecology & Management 2007, 60:115-124. 10.2111/05-224R2.1.
61. Weiss J.L., Gutzler D.S., Coonrod J.E.A., Dahm C.N. Long-term vegetation monitoring with NDVI in a diverse semi-arid setting, central New Mexico, USA. Journal of Arid Environments 2004, 58:249-272. 10.1016/j.jaridenv.2003.07.001.
62. Westerling A.L., Hidalgo H.G., Cayan D.R., Swetnam T.W. Warming and earlier spring increase western U.S. forest wildfire activity. Science 2006, 313:940-943. 10.1126/science.1128834.
63. Williams A.P., Allen C.D., Millar C.I., Swetnam T.W., Michaelsen J., Still C.J., et al. Forest responses to increasing aridity and warmth in the southwestern United States. Proceedings of the National Academy of Sciences of the United States of America 2010, 107:21289-21294. 10.1073/pnas.0914211107.
64. Zhang X., Friedl M.A., Schaaf C.B., Strahler A.H., Hodges J.C.F., Gao F., et al. Monitoring vegetation phenology using MODIS. Remote Sensing of Environment 2003, 84:471-474.
65. Zhu X., Chen J., Gao F., Chen X., Masek J.G. An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions. Remote Sensing of Environment 2010, 114:2610-2623. 10.1016/j.rse.2010.05.032.