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Monitoring habitat preserves in southern California using high spatial resolution multispectral imagery

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Abstract

Habitat preserve systems have been established adjacent to the densely populated regions of southern California to support indigenous plant and animal species that are listed as rare, threatened, or endangered. Monitoring the condition of habitat across these broad preserves is necessary to ensure their long-term viability and may be effectively accomplished using remote sensing techniques with high spatial resolution visible and near-infrared (VNIR) multispectral imagery. The utility of 1 m spatial resolution VNIR imagery for detailed change detection and monitoring of Mediterranean-type ecosystems is assessed here. Image acquisition and preprocessing procedures were conducted to ensure that image-detected changes represented real changes and not artifacts. Change classification products with six spectral-based transition classes were generated using multiband image differencing (MID) for three change periods: 1998–1999, 1998–2001, and 1998–2005. Land cover changes relevant to habitat quality monitoring such as human-induced disturbance, fire, vegetation growth/recovery, and drought related vegetation stress were readily detected using the multitemporal VNIR imagery. Suggestions for operational habitat monitoring using image products and mobile geographic information system technologies are provided.

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References

  • Brussard, P., & Murphy, D. (1993). Subregionalization for natural communities conservation planning section 5. In Southern California Coastal Sage Scrub Natural Communities Conservation Plan: Scientific Review Panel Conservation Guidelines and Documentation. California Department of Fish and Game, and California Resources Agency. pp. 469.

  • Carvalho, L., Fonseca, L., Murtagh, F., & Clevers, J. (2001). Digital change detection with the aid of multiresolution wavelet analysis. International Journal of Remote Sensing, 22(18), 3871–3876.

    Article  Google Scholar 

  • Chavez Jr., P. (1988). An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment, 24, 459–479.

    Article  Google Scholar 

  • Colwell, J., Davis, G., & Thomson, F. (1980). Detection and measurement of changes in the production and quality of renewable resources. USDA Forest Service Final Report 145300-4-F, ERIM, Ann Arbor, MI, USA.

  • Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B., & Lambin, E. (2004). Digital change detection methods in ecosystem monitoring: A review. International Journal of Remote Sensing, 25(9), 1565–1596.

    Article  Google Scholar 

  • Coulter, L., Stow, D., & Baer, S. (2003b). A frame center matching technique for precise registration of multitemporal airborne frame imagery. IEEE Transactions on Geoscience and Remote Sensing, 41(11), 2436–2444.

    Article  Google Scholar 

  • Coulter, L., Stow, D., Hope, A., O’Leary, J., Franklin, J., Johnson, A., et al. (2003a). Regional change monitoring of reserve systems using very high resolution remotely sensed imagery. NASA Food and Fiber Applications of Remote Sensing final report by San Diego State University. Earth Science Applications Directorate, National Aeronautics and Space Administration, John C. Stennis Space Center, Mississippi.

  • Dai, X., & Khorram, S. (1998). The effects of image misregistration on the accuracy of remotely sensed change detection. IEEE Transactions on Geoscience and Remote Sensing, 36(5), 1566–1577.

    Article  Google Scholar 

  • Elvidge, C., Yuan, D., Weerackoon, R., & Lunneta, R. (1995). Relative radiometric normalization of Landsat Multispectral Scanner (MSS) data using an automatic scattergram-controlled regression. Photogrammetric Engineering and Remote Sensing, 61(10), 1255–1260.

    Google Scholar 

  • Hall, F., & Badhwar, G. (1987). Signature-extendable technology: global space-based crop recognition. IEEE Transactions on Geoscience and Remote Sensing, GE-25(1), 93–103.

    Article  Google Scholar 

  • Hall, F., Strebel, D., Nickeson, J., & Goetz, S. (1991). Radiometric rectification: Toward a common radiometric response among multidate, multisensor images. Remote Sensing of Environment, 35, 11–27.

    Article  Google Scholar 

  • Howarth, P., & Wickware, G. (1981). Procedures for change detection using Landsat digital data. International Journal of Remote Sensing, 2, 277–291.

    Article  Google Scholar 

  • Jensen, J. (Editor) (1983). Urban/suburban land use analysis. In Manual of remote sensing, 2nd ed. American Society of Photogrammetry, Vol 2, pp 1571–666.

  • Jensen, J. (1996). Introductory digital image processing: A remote sensing perspective. Englewood Cliffs, NJ: Prentice Hall.

    Google Scholar 

  • Johnson, R., & Kasischke, E. (1998). Change vector analysis: a technique for the multitemporal monitoring of land cover and condition. International Journal of Remote Sensing, 19, 411–426.

    Article  Google Scholar 

  • Kimes, D. (1983). Dynamics of directional reflectance factor distributions for vegetation canopies. Applied Optics, 22(9), 1364–1372.

    Article  CAS  Google Scholar 

  • King, D. (1991). Determination and reduction of cover type brightness variations with view angle in airborne multispectral video imagery. Photogrammetric Engineering and Remote Sensing, 57(12), 1571–1577.

    Google Scholar 

  • Lu, D., Mausel, P., Brondizio, E., & Moran, E. (2004). Change detection techniques. International Journal of Remote Sensing, 25(12), 2365–2407.

    Article  Google Scholar 

  • Lunetta, R. S., Ediriwickrema, J., Johnson, D. M., Lyon, J. G., & McKerrow, A. (2002). Impacts of vegetation dynamics on the identification of land-cover change in a biologically complex community in North Carolina, USA. Remote Sensing of Environment, 82(2), 258–270.

    Article  Google Scholar 

  • Multiple Species Conservation Program (MSCP) (1998). Final multiple species conservation program: MSCP plan. San Diego County, California.

  • Ogden Environmental and Energy Services (1996). Biological Monitoring Plan for the Multiple Species Conservation Program, pp. 120.

  • O’Leary, J. F. (1990). California coastal sage scrub: General characteristics and considerations for biological conservation. In A. A. Schoenherr (Ed.), Endangered plant communities of Southern California (pp. 24–8). Southern California Botanists, Special Publication No. 3.

  • O’Leary, J. F., & Westman, W. E. (1988). Regional disturbance effects on herb succession patterns in coastal sage scrub. Journal of Biogeography, 15, 775–786.

    Article  Google Scholar 

  • Pickup, G., Chewings, V., & Pearce, G. (1995). Procedures for correcting high resolution airborne video imagery. International Journal of Remote Sensing, 16(9), 1647–1662.

    Article  Google Scholar 

  • Pilon, P., Howarth, P., Bullock, R., & Adeniyi, P. (1988). An enhanced classification approach to change detection in semi-arid environments. Photogrammetric Engineering and Remote Sensing, 54, 1709–1716.

    Google Scholar 

  • Qi, J., Mitchell, T., Moran, M., Pinter, P., Clarke, T., Neale, C., et al. (1995). Normalization of bidirectional effect in videographic imagery. ASPRS 15th Biennial Workshop on Videography and Color Photography in Resource Assessment. Paul Mausel, ed. ASPRS, Bethesda, MD

  • Royer, A., Vincent, P., & Bonn, F. (1985). Evaluation and correction of viewing angle effects on satellite measurements of bidirectional reflectance. Photogrammetric Engineering and Remote Sensing, 51(12), 1899–1914.

    Google Scholar 

  • Salvaggio, C. (1993). Radiometric scene normalization utilizing statistically invariant features. Proceedings of the Workshop Atmospheric Correction of Landsat Imagery, Defense Landsat Program Office, Torrance, CA, pp. 155–59.

  • Shibayama, M., & Wiegand, C. (1985). View azimuth and zenith, and solar angle effects on wheat canopy reflectance. Remote Sensing of Environment, 18, 91–103.

    Article  Google Scholar 

  • Singh, A. (1989). Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, 10, 989–1003.

    Article  Google Scholar 

  • Stow, D. (1999). Reducing the effects of misregistration on pixel-level change detection. International Journal of Remote Sensing, 20(12), 2477–2483.

    Article  Google Scholar 

  • Stow, D., & Chen, D. (2002). Sensitivity of multitemporal NOAA AVHRR data of an urbanizing region to land-use/land-cover changes and misregistration. Remote Sensing Environment, 80, 297–307.

    Article  Google Scholar 

  • Stow, D., Coulter, L., & Baer, S. (2003). A frame centre matching approach to registration for change detection with fine spatial resolution multi-temporal imagery. International Journal of Remote Sensing, 24, 3873–3879.

    Article  Google Scholar 

  • Townshend, J., Justice, C., Gurney, C., & McManus, J. (1992). The impact of misregistration on change detection. IEEE Transactions on Geoscience and. Remote Sensing, 30(5), 1054–1060.

    Article  Google Scholar 

  • Tsou, M. (2004). Integrated mobile GIS and wireless internet map servers for environmental monitoring and management. Cartography and Geographic Information Science, 31(3), 153–165.

    Article  Google Scholar 

  • Verbyla, D., & Boles, S. (2000). Bias in land cover change estimates due to misregistration. International Journal of Remote Sensing, 21(18), 3553–3560.

    Article  Google Scholar 

  • Westman, W. (1981). Diversity relations and succession in Californian coastal sage scrub. Ecology, 62(1), 170–184.

    Article  CAS  Google Scholar 

  • Witztum, E., & Stow, D. (2004). Analysing direct impacts of recreation activity on coastal sage scrub habitat with very high resolution multi-spectral imagery. International Journal of Remote Sensing, 25(17), 3477–3496.

    Article  Google Scholar 

  • Yang, X., & Lo, C. (2000). Relative radiometric normalization performance for change detection from multi-date satellite imagery. Photogrammetric Engineering and Remote Sensing, 66(8), 967–980.

    Google Scholar 

  • Yuan, D., & Elvidge, C. (1993). Application of relative radiometric rectification procedure to Landsat data for use in change detection. Proceedings of the Workshop Atmospheric Correction of Landsat Imagery, Defense Landsat Program Office, Torrance, CA, pp. 155–59.

  • Yuan, D., & Elvidge, C. (1996). Comparison of relative radiometric normalization techniques. ISPRS Journal of Photogrammetry and Remote Sensing, 51, 117–126.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Geography, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-4493, USA

    Lloyd L. Coulter & Douglas A. Stow

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  1. Lloyd L. Coulter
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  2. Douglas A. Stow
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Correspondence to Lloyd L. Coulter.

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Coulter, L.L., Stow, D.A. Monitoring habitat preserves in southern California using high spatial resolution multispectral imagery. Environ Monit Assess 152, 343–356 (2009). https://doi.org/10.1007/s10661-008-0320-8

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  • DOI: https://doi.org/10.1007/s10661-008-0320-8

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