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Monitoring Vegetation Change Using Satellite Data

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Vegetation Dynamics & Global Change

Abstract

Native vegetation will respond in predictable ways to a variety of stresses. Depending on the intensity and duration of the stress, the response may be at the cellular level, the morphological/macroscopic level, or the community level. Figure 8.1 presents examples of some typical vegetation responses to stress. All of the examples of change at different levels given in Figure 8.1 have diagnostic spectral characteristics which can be detected by using various types of remote sensing systems. Because of the sensitivity of native vegetation to stress factors associated with environmental change (moisture levels, nutrient levels, temperature, anthropogenic factors, etc.), the ability to remotely detect subtle levels of change (response to stress) in the vegetation may prove to be a very useful indicator of environmental change. Remote sensing techniques employing satellite multispectral data provide an accurate means of detecting, quantifying, mapping, and monitoring change in vegetation on local, regional, and global scales. Change at different scales in both vegetation kind (vegetation types, species associations, etc.) and vegetation condition (state of health, degree of deforestation, seasonal stage of growth, etc.) can be studied by using various sensor systems and image processing techniques. Table 8.1 summarizes some of the available satellite data currently in use for change detection purposes.

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References

  • Asrar, G., Fuchs, M., Kanemasu, E.T. and Hatfield, J.L. (1984). Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agronomy Journal, 76, 300–6.

    Article  Google Scholar 

  • Choudhury, B.J. (1987). Relationships between vegetation indices, radiation absorption, and net photosynthesis evaluated by a sensitivity analysis. Remote Sensing of Environment, 22, 209–33.

    Article  Google Scholar 

  • Choudhury, B.J. (1988). Relating Nimbus-7 37 GHz data to global land-surface evaporation, primary productivity and the atmospheric CO2 concentration. International Journal of Remote Sensing, 9, 169–76.

    Article  Google Scholar 

  • Choudhury, B.J. (1989). Monitoring global land surface using Nimbus-7 37 GHz data: Theory and examples. International Journal of Remote Sensing, 10, 1579–1605.

    Article  Google Scholar 

  • Choudhury, B.J. and Tucker, C.J. (1987). Monitoring global vegetation using Nimbus-7 37 GHz data: Some empirical relations. International Journal of Remote Sensing, 8, 1085–90.

    Article  Google Scholar 

  • Choudhury, B.J., Tucker, C.J., Golus, R.E. and Newcomb, W.W. (1987). Monitoring vegetation using Nimbus-7 scanning multichannel microwave radiometer’s data. International Journal of Remote Sensing, 8, 533–8.

    Article  Google Scholar 

  • Fearnside, P.M. (1982). Deforestation in the Brazilian Amazon: How fast is it occurring? Intercienca, 7, 82–8.

    Google Scholar 

  • Fearnside, P.M. (1986). Spatial concentration of deforestation in the Brazilian Amazon. Ambio, 15(2), 74–81.

    Google Scholar 

  • Giddings, L. and Choudhury, B.J. (1989). Observation of hydrologie features with Nimbus-7 37 GHz data, applied to South America. International Journal of Remote Sensing, 10, 1673–86.

    Article  Google Scholar 

  • Goward, S.N., Dye, D., Kerber, A. and Kalb, V. (1987). Comparison of North and South American biomes from AVHRR observations. Geocarto International, 1, 27–39.

    Article  Google Scholar 

  • Henderson-Sellers, A. and Gornitz, V. (1984). Possible climatic impacts of land cover transformations, with particular emphasis on tropical deforestation. Climatic Change, 6(3), 231–57.

    Article  Google Scholar 

  • Herrmann, K., Rock, B.N., Ammer, U. and Paley, H.N. (1988). Preliminary assessment of Airborne Imaging Spectrometer and Airborne Thematic Mapper data acquired for forest decline areas in the Federal Republic of Germany. Remote Sensing of Environment, 24, 129–49.

    Article  Google Scholar 

  • Holben, B.N. (1986). Characteristics of maximum-value composite images from temporal AVHRR data. International Journal of Remote Sensing, 7, 1417–34.

    Article  Google Scholar 

  • Hoshizaki, T., Rock, B.N. and Wong, S.K. (1988). Pigment analysis and spectral assessment of spruce trees undergoing forest decline in the United States and Germany. GeoJournal, 17, 173–8.

    Article  Google Scholar 

  • Houghton, R. A. (1986). Estimating changes in the carbon content of terrestrial ecosystems from historical data. In The Changing Carbon Cycle: A Global Analysis, ed. J.R. Trabalka and D.E. Reichle, pp. 175–93. New York: Springer-Verlag.

    Google Scholar 

  • Houghton, R.A., Hobbie, J.E., Melillo, J.M., Moore, B., Peterson, B.J., Shaver, G.R. and Woodwell, G.M. (1983). Changes in the carbon content of terrestrial biota and soils between 1860 and 1980: A net release of CO2 to the atmosphere. Ecological Monographs, 53, 235–62.

    Article  CAS  Google Scholar 

  • Houghton, R. A. and Skole, D.L. (1990). Changes in the global carbon cycle, 1700–1980. In The Earth as Transformed by Human Action, ed. B.L. Turner, pp. 393–408. New York: Cambridge University Press.

    Google Scholar 

  • Hunt, E.R., Jr., Rock, B.N. and Nobel, P.S. (1987a). Measurement of leaf relative water content by infrared reflectance. Remote Sensing of Environment, 22, 429–35.

    Article  Google Scholar 

  • Hunt, E.R., Jr., Wong, S.K. and Rock, B.N. (1987b). Relative water content of spruce needles determined by the leaf water content index. In Proceedings of the Twenty-First International Symposium on Remote Sensing of the Environment, Ann Arbor, Michigan, 26–30 October 1987, pp. 1093–110.

    Google Scholar 

  • Johnson, A.H. and Siccama, T.C. (1984). Decline of red spruce in the northern Appalachians: Assessing the possible role of acid deposition. Tappi Journal, 67, 68–72.

    CAS  Google Scholar 

  • Justice, C.O. ed. (1986). Monitoring the grasslands of semi-arid Africa using NOAA-AVHRR data. International Journal of Remote Sensing, 7, 1383–622.

    Google Scholar 

  • Justice, C.O., Townshend, J.R.G., Holben, B.N. and Tucker, C.J. (1985). Analysis of the phenology of global vegetation using meteorological satellite data. International Journal of Remote Sensing, 6, 1271–318.

    Article  Google Scholar 

  • Klein, R.M. and Perkins, T.D. (1987). Cascades of causes and effects of forest decline. Ambio, 16, 86–93.

    Google Scholar 

  • Malingreau, J.P. and Tucker, C.J. (1988). Large-scale deforestation in the southeastern Amazon Basin of Brazil. Ambio, 17(1), 49–55.

    Google Scholar 

  • Nelson, R. and Holben, B. (1986). Identifying deforestation in Brazil using multiresolution satellite data. International Journal of Remote Sensing, 7(3), 429–48.

    Article  Google Scholar 

  • Nelson, R., Horning, N. and Stone, T. A. (1987). Determining the rate of forest conversion in Mato Grosso, Brazil, using Landsat MSS and AVHRR data. International Journal of Remote Sensing, 8(12), 1767–84.

    Article  Google Scholar 

  • Peterson, D.L., Aber, J.D., Matson, P.A., Card, D.H., Swanberg, N., Wessman, C. and Spanner, M. (1988). Remote sensing of forest canopy and leaf biochemical contents. Remote Sensing of Environment, 24, 85–108.

    Article  Google Scholar 

  • Rock, B.N., Defeo, N.J. and Vogelmann, J.E. (1987). Vegetation survey pilot study: Detection and quantification of forest decline damage using remote sensing techniques. Final Report to the USD A Forest Service, Jet Propulsion Laboratory Document D-4669, Pasadena, California.

    Google Scholar 

  • Rock, B.N., Elvidge, C.D. and Defeo, N.J. (1988a). Assessment of AVIRIS data from vegetated sites in the Owens Valley, California. In Proceedings of the AVIRIS Performance Evaluation Workshop, Jet Propulsion Laboratory, Pasadena, California, 6–8 June 1988, JPL Publication 88–38, pp. 88–96.

    Google Scholar 

  • Rock, B.N., Hoshizaki, T. and Miller, J.R. (1988b). Comparison of in situ and airborne spectral measurements of the blue shift associated with forest decline. Remote Sensing of Environment, 24, 109–27.

    Article  Google Scholar 

  • Rock, B.N. and Vogelmann, J.E. (1989). The use of remote sensing for the study of forest damage. In Proceedings of the International Conference and Workshop—Global Natural Resource Monitoring and Assessments: Preparing for the 21st Century, Venice, Italy, 24–30 September 1989, pp. 453–67.

    Google Scholar 

  • Rock, B.N., Vogelmann, J.E., Williams, D.L., Vogelmann, A.F. and Hoshizaki, T. (1986). Remote detection of forest damage. BioScience, 36, 439–45.

    Article  Google Scholar 

  • Schuett, P. and Cowling, E.B. (1985). Waldsterben, a general decline: Symptoms, development. Plant Disease, 69, 548–58.

    Google Scholar 

  • Topographic Science Working Group. (1988). Topographic Science Working Group Report to the Land Processes Branch, Earth Science and Applications Division, NASA Headquarter. Lunar and Planetary Institute, Houston.

    Google Scholar 

  • Townshend, J.R.G. and Justice, C.O. (1988). Selecting the spatial resolution of satellite sensors required for global monitoring of land transformations. International Journal of Remote Sensing, 9(2), 187–236.

    Article  Google Scholar 

  • Tucker, C.J., Holben, B.N. and Goff, T.E. (1984). Intensive forest clearing in Rondonia, Brazil, as detected by satellite remote sensing. Remote Sensing of Environment, 15, 255–61.

    Article  Google Scholar 

  • Tucker, C.J., Fung, I.Y., Keeling, C.D. and Gammon, R.H. (1986a). Relationship between atmospheric CO2 variation and a satellite-derived vegetation index. Nature, 319, 195–9.

    Article  Google Scholar 

  • Tucker, C.J., Townshend, J.R.G., Goff, T.E. and Holben, B.N. (1986b). Continental and global scale remote sensing of land cover. In The Changing Carbon Cycle: A Global Analysis, ed. J.R. Trabalka and D.E. Reichle, pp. 221–41. New York: Springer-Verlag.

    Google Scholar 

  • Vitousek, P.M. (1983). The effects of deforestation on air, soil, and water. In The Major Biogeochemical Cycles and Their Interactions, ed. B. Bolin and E. Cook, pp. 223–45. SCOPE 21. New York: John Wiley and Sons.

    Google Scholar 

  • Vogelmann, J.E. (1988). Detection of forest change in the Green Mountains of Vermont using Multispectral Scanner data. International Journal of Remote Sensing, 9, 1187–200.

    Article  Google Scholar 

  • Vogelmann, J.E. (1990). Comparison between two vegetation indices for measuring different types of forest damage in the northeastern United States. International Journal of Remote Sensing, 11/12, 2281–97.

    Article  Google Scholar 

  • Vogelmann, H.W., Bliss, M., Badger, G. and Klein, R.M. (1985). Forest decline on Camels Hump, Vermont. Bulletin of the Torrey Botanical Club, 112, 274–87.

    Article  Google Scholar 

  • Vogelmann, J.E. and Rock, B.N. (1986). Assessing forest decline in coniferous forests of Vermont using NS-001 Thematic Mapper Simulator data. International Journal of Remote Sensing, 7, 1303–21.

    Article  Google Scholar 

  • Vogelmann, J.E. and Rock, B.N. (1988). Assessing forest damage in high elevation coniferous forests in Vermont and New Hampshire using Thematic Mapper data. Remote Sensing of Environment, 24, 227–46.

    Article  Google Scholar 

  • Vogelmann, H.W., Perkins, T., Badger, G. and Klein, R.M. (1988). A 21-year record of forest decline on Camels Hump, Vermont. European Journal of Forest Pathology, 18, 240–9.

    Article  Google Scholar 

  • Wessman, C.A., Aber, J.D., Peterson, D.L. and Melillo, J. (1988). Remote sensing of canopy chemistry and nitrogen cycling in temperate forest ecosystems. Nature, 335, 154–6.

    Article  Google Scholar 

  • Woodwell, G.M., Houghton, R.A., Stone, T.A. and Park, A.B. (1986). Changes in the area of forests in Rondonia, Amazon Basin, measured by satellite imagery. In The Changing Carbon Cycle: A Global Analysis, ed. J.R. Trabalka and D.E. Reichle, pp. 242–57. New York: Springer-Verlag.

    Google Scholar 

  • Zawila-Niedzwiecki, T. (1989). Satellite images for forest decline assessment. In Proceedings of the International Conference and Workshop—Global Natural Resource Monitoring and Assessment: Preparing for the 21st Century, Venice, Italy, 24–30 September 1989, pp. 473–8.

    Google Scholar 

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© 1993 Springer Science+Business Media Dordrecht

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Rock, B.N., Skole, D.L., Choudhury, B.J. (1993). Monitoring Vegetation Change Using Satellite Data. In: Solomon, A.M., Shugart, H.H. (eds) Vegetation Dynamics & Global Change. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2816-6_8

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  • DOI: https://doi.org/10.1007/978-1-4615-2816-6_8

  • Publisher Name: Springer, Boston, MA

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