Correcting satellite data to detect vegetation signal for eco-hydrologic analyses

Journal of Hydrology

Volumn 344, Issue 1-2, 2007, Pages 135-145

  Groeneveld, David P ^a   Baugh, William M ^a  

^a HydroBio Inc   (United States)

Author keywords

Alkali scrub; Colorado; Landsat TM; NDVI; NDVI*; Phreatophytes; San Luis Valley

Indexed keywords

DRAINAGE; ECOLOGY; EXTRACTION; POLYNOMIAL APPROXIMATION; PRECIPITATION (CHEMICAL); SYSTEMATIC ERRORS; VEGETATION;

ALKALI SCRUB; PHREATOPHYTES; POLYNOMIAL SEASONAL MODEL; SAN LUIS VALLEY;

HYDROLOGY;

DRAINAGE; ECOLOGY; EXTRACTION; HYDROLOGY; POLYNOMIAL APPROXIMATION; PRECIPITATION (CHEMICAL); SYSTEMATIC ERRORS; VEGETATION;

DETECTION METHOD; ECOHYDROLOGY; HYDROLOGICAL RESPONSE; LANDSAT THEMATIC MAPPER; NDVI; SATELLITE DATA; VEGETATION;

NORTH AMERICA; SAN LUIS VALLEY; UNITED STATES;

EID: 34548513340     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2007.07.001     Document Type: Article

References (47)

1. Allen, R.B., Pereira, L.S., Raes, D., Smith, M.S., 1998. Crop evapotranspiration (guidelines for computing crop water requirements). FAO irrigation and drainage paper 56. 300 pp.
2. Baret, F., Guyot, G., and Major, D., 1989. TSAVI: a vegetation index which minimizes soil brightness effects on LAI and APAR estimation, In: 12th Canadian Symposium on Remote Sensing and IGARSS '90, Vancouver, Canada, 10-14 July, 1989, pp. 1355-1358.
3. Baugh W.M., and Groeneveld D.P. Broadband vegetation index performance evaluated for a low-cover environment. International Journal of Remote Sensing 27 (2006) 4715-4730
4. Carlson T.N., and Ripley D.A. On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing of Environment 62 (1997) 241-252
5. Chavez Jr. P.S. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment 24 (1988) 459-479
6. Chavez Jr. P.S. Image-based atmospheric corrections revisited and improved. Photogrammetric Engineering and Remote Sensing 62 (1996) 1025-1036
7. Chimner R.A., and Cooper D.C. Using stable oxygen isotopes to quantify the water source used for transpiration by native shrubs in the San Luis Valley, Colorado USA. Plant and Soil 260 (2004) 236-255
8. Chong D.L.S., Mougin E., and Gastellu-Etchegorry J.P. Relating the global vegetation index to net primary productivity and actual evapotranspiration over Africa. International Journal of Remote Sensing 14 (1993) 1517-1546
9. Gillies R.R., Carlson T.N., Cui J., Kustas W.O., and Humes K.S. A verification of the 'triangle' method for obtaining surface soil water content and energy fluxes from remote measurements of the normalized difference vegetation index (NDVI) and surface radiant temperature. International Journal of Remote Sensing 18 (1997) 3145-3166
10. Groeneveld, D.P., 1990. Shrub rooting and water acquisition on threatened shallow groundwater habitats in the Owens Valley, California. USDA Forest Service General Technical Report INT-276, pp. 221-237.
11. Groeneveld D.P. Owens Valley, California plant ecology: effects from export groundwater pumping and measures to conserve the local environment. In: Hall C.A., Doyle-Jones V., and Widawski B. (Eds). White Mountain Research Station Symposium IV Proceedings: "The History of Water: Eastern Sierra, Owens Valley, White-Inyo Range (1992), University of California Regents 128-155
12. Groeneveld, D.P., Baugh, W.M., Sanderson, J.S., Cooper, D.C. 2007. Annual groundwater evapotranspiration mapped from single satellite scenes. Journal of Hydrology, doi:10.1016/j.jhydrol.2007.7.002.
13. Harbaugh, A.W., Banta, E.R., Hill, M.C., McDonald, M.G., 2000. Modflow-2000, the U.S. Geological Survey modular ground-water model - user guide to modularization concepts and the ground-water flow process. US Geological Survey Open-File Report 00-92.
14. In: Hickman J. (Ed). The Jepson Manual: Higher Plants of California (1993), University of California Press, Berkeley 1400
15. Huete A.R. A soil adjusted vegetation index (SAVI). Remote Sensing of Environment 25 (1988) 295-309
16. Huete A.R., and Liu H.Q. An error and sensitivity analysis of the atmospheric- and soil-correcting variants of the NDVI for the MODIS-EOS. IEEE Transactions on Geoscience and Remote Sensing 32 (1994) 897-905
17. Irish, R., 1999. Landsat 7 Science Data Users Handbook. , Landsat Project Science Office, Goddard Space Flight Center (accessed April 2007).
18. Ji L., and Peters A.J. Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices. Remote Sensing of Environment 87 (2003) 85-98
19. Justice C.O., Townshend J.R.G., Holben B.N., and Tucker C.J. Analysis of the phenology of global vegetation using meteorological satellite data. International Journal of Remote Sensing 6 (1985) 1271-1318
20. Justice C., Vermote E., Townshend J.R.G., Defries R., Roy D.P., Hall D.K., Salomonson V.V., Privette J., Riggs G., Strahler A., Lucht W., Myneni R., Knjazihhin Y., Running S., Nemani R., Wan Z., Huete A., Vanleeuwen W., Wolfe R., Giglio L., Muller J.P., Lewis P., and Barnsley M. The moderate resolution imaging spectroradiometer (MODIS): land remote sensing for global change research. IEEE Transactions on Geoscience and Remote Sensing 36 (1998) 1228-1249
21. Kaufman Y.J., and Tanre D. Atmospherically resistant vegetation index (ARVI) for EOS-MODIS. IEEE Transactions on Geoscience and Remote Sensing 30 (1992) 261-270
22. Kawabata A., Ichii K., and Yamaguchi Y. Global monitoring of the interannual changes in vegetation activities using NDVI and its relationships to temperature and precipitation. International Journal of Remote Sensing 22 (2001) 1377-1382
23. Kerr Y.H., Imbernon J., Dedieu G., Hautecoeur O., Lagouarde J.P., and Seguin B. NOAA AVHRR and its uses for rainfall and evapotranspiration monitoring. International Journal of Remote Sensing 10 (1989) 847-854
24. Kustas W.P., Perry E.M., Doraiswamy P.C., and Moran M.S. Using satellite remote sensing to extrapolate evapotranspiration estimates in time and space over a semiarid rangeland basin. Remote Sensing of Environment 49 (1994) 275-286
25. Liu H.Q., and Huete A.R. A feedback based modification of the NDVI to minimize canopy background and atmospheric noise. IEEE Transactions on Geoscience and Remote Sensing 33 (1995) 457-465
26. Malo A.R., and Nicholson S.E. A study of rainfall and vegetation dynamics in the African Sahel using normalized difference vegetation index. Journal of Arid Environments 19 (1990) 1-24
27. McDonald M.D., and Harbaugh A.W. The history of MODFLOW. Groundwater 41 (2003) 280-283
28. Meinzer, O.E. 1927. Plants as indicators of groundwater. US Geological Survey Water Supply Paper 577, 95 pp.
29. Moran M.S., Jackson R.D., Slater P.N., and Teillet P.M. Evaluation of simplified procedures for retrieval of land surface reflectance factors from satellite sensor output. Remote Sensing of Environment 41 (1992) 169-184
30. Nichols W.D. Groundwater discharge by phreatophyte shrubs in the Great Basin as related to depth to groundwater. Water Resources Research 30 (1994) 3265-3275
31. Nichols, W.D., 2000. Regional ground-water evapotranspiration and ground-water budgets, Great Basin, Nevada. US Geological Survey Professional Paper 1628.
32. Or D., and Groeneveld D.P. Stochastic estimation of plant-available soil water under fluctuating water table depths. Journal of Hydrology 163 (1994) 43-64
33. Peters A.J., Eve M.D., Holt E.H., and Whitford W.G. Analysis of desert plant community growth patterns with high temporal resolution satellite spectra. Journal of Applied Ecology 34 (1997) 418-432
34. Qi J., Chehbouni A., Huete A.R., Kerr Y.H., and Sorooshian S. A modified soil adjusted vegetation index. Remote Sensing of Environment 48 (1994) 119-126
35. Rosenberry D.O., and Winter T.C. Dynamics of water-table fluctuations in an upland between two prairie-pothole wetlands in North Dakota. Journal of Hydrology 191 (1997) 266-289
36. Running S.W., and Nemani R.R. Regional hydrologic and carbon balance responses of forests resulting from potential climate change. Climatic Change 19 (1991) 349-368
37. Seevers P.M., and Ottmann R.W. Evapotranspiration estimation using a normalized difference vegetation index transformation of satellite data. Hydrological Sciences Journal 39 (1994) 333-345
38. Song C., Woodcock C.E., Seto K.C., Lenney M.P., and Macomber S.A. Classification and change detection using Landsat TM data: when and how to correct atmospheric effects?. Remote Sensing of Environment 75 (2001) 230-244
39. Sorenson, S.K., Dileanis, P.D., Branson, F.A., 1991. Soil water and vegetation responses to precipitation and changes in depth to ground water in Owens Valley, California. US Geological Survey Water-Supply Paper 2370-G, 36 pp.
40. Stow D. Monitoring ecosystem response to global change: multitemporal remote sensing analyses. In: Moreno J., and Oechel W. (Eds). Anticipated Effects of a Changing Global Environment in Mediterranean type Ecosystems (1995), Springer-Verlag, New York 254-286
41. Szilagyi J. Can a vegetation index derived from remote sensing be indicative of areal transpiration?. Ecological Modeling 127 (2000) 65-79
42. Szilagyi J. Vegetation indices to aid areal evapotranspiration estimations. Journal of Hydrologic Engineering 7 (2002) 368-372
43. Szilagyi J., Parlange M.B., Rundquist D.C., and Gosselin D.C. NDVI relationship to monthly evaporation. Geophysical Research Letters 25 (1998) 1753-1756
44. Tucker C.J. History of the use of AVHRR data for land applications. In: D'Souza G., Belward A.S., and Malingreau J.P. (Eds). Advances in the Use of NOAA AVHRR Data for Land Applications (1996), Kluwer Academic, Dordrecht, Netherlands 1-19
45. Tucker C.J., and Nicholson S.E. Variation in the size of the Sahara Desert from 1980 to 1997. Ambio 28 (1999) 587-591
46. Wang J., Rich P.M., and Price K.P. Temporal response of NDVI to precipitation and temperature in the central Great Plains, USA. International Journal of Remote Sensing 24 (2003) 2345-3364
47. Yang L., Wylie B.K., Tieszen L.L., and Reed B.C. An analysis of relationships among climate forcing and time-integrated NDVI of grasslands over the US northern and central Great Plains. Remote Sensing of Environment 65 (1998) 25-37