Tree health mapping with multispectral remote sensing data at UC Davis, California

Urban Ecosystems

Volumn 8, Issue 3-4, 2005, Pages 349-361

  Xiao, Qingfu ^a   McPherson, E Gregory ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b PACIFIC SOUTHWEST RESEARCH STATION   (United States)

Author keywords

Remote sensing data; Tree health index; Tree health mapping; Urban forestry

Indexed keywords

EID: 29144437879     PISSN: 10838155     EISSN: 15731642     Source Type: Journal    
DOI: 10.1007/s11252-005-4867-7     Document Type: Article

References (18)

1. Alexander, S.A. and Palmer, C.J. (1999) Forest health monitoring in the United States: First four years. Environ. monit. assess. 55, 267-277.
2. Birky, Alicia K. (2001) NDVI and a simple model of deciduous forest seasonal dynamics. Ecol. Model. 143, 43-58.
3. Cumming, A.B., Galvin, M.F., Rabaglia, M.F.R.J., Cumming, J.R., Twardus, D.B. (2001) Forest health monitoring protocol applied to roadside trees in Maryland. J. Arboric. 27, 126-138.
4. Diem, J.E. (2002) Remote Assessment of Forest Health in Southern Arizona, USA: Evidence for Ozone-Induced Foliar Injury. Environ.l Manage. 29, 373-384.
5. Erikson, M. (2004) Species classification of individually segmented tree crowns in high-resolution aerial images using radiometric and morphologic image measures. Remote Sens. Environ. 91, 469-477.
6. Gooding, R.F., Ingram, J.B., Urban, J.R., Bloch, L.B. and Steigerwaldt, W.M., Harris, R.W., Allen, E.N. (2000) Guide for Plant Appraisal, 9th Ed. International Society of Arboriculture, pp. 143.
7. Gougeon F. A. (1995) Comparison of possible multispectral classification schemes for tree crowns individually delineated on high spatial resolution MEIS images. Can. J. Remote Sens. 21, 1-9.
8. Jackson, R.D., Idso, S.B., Reginato, R.J. and Pinter, P.J. Jr. (1981) Crop temperature as a crop water stress indicator. Water Resour. Res. 17, 1133-1138.
9. Kohavi, R. and Provost, F. (1998) Glossary of Terms. Mach. Learn. 30, 271-274.
10. Leckie, D.G, Yuan, X., Ostaff, D.P., Piene, H. and Maclean, D.A. (1992) Analysis of high resolution multispectral MEIS imagery for spruce budworm damage assessment on a single tree basis. Remote Sens. Environ, 40, 125-136.
11. Maselli, Fabio (2004). Monitoring forest conditions in a protected Mediterranean coastal area by the analysis of multiyear NDVI data. Remote Sens. Environ. 89, 423-433.
12. Meyer, P., Staenz, K. and Itten, K.I. (1996) Semi-automated procedures for tree species identification in high spatial resolution data from digitized colour infrared-aerial photography. ISPRS J. Photogramm Remote Sens. 51, 5-16.
13. Olthof, I. and King, D.J. (2000) Development of a Forest Health Index Using Multispectral Airborne Digital Camera Imagery. Can. J. Remote Sens. 26, 166-176.
14. Pouliot, D.A., King, D.J., Bell, F.W. and Pitt, D.G. (2002) Automated tree crown detection and delineation in high-resolution digital camera imagery of coniferous forest regeneration. Remote Sens. Environ. 82, 322334.
15. Richardson, A.J. and Everitt, J.H. (1992) Using Spectral Vegetation Indices to Estimate Rangeland Productivity. Geocarto Int. 1, 61-69.
16. Ustin, S.L. and Xiao, Q.F. (2001) Mapping successional boreal forests in interior central Alaska. Int. J. Remote Sens. 22, 1779-1797.
17. Xiao, Q.F., Ustin, S.L. and McPherson, E.G. (2004) Using AVIRIS data and multiple-masking techniques to map urban forest tree species. Int. J. Remote Sens. 25, 5637-5654.
18. Xiao, Q.F. and McPherson, E.G. (2002) Rainfall interception of Santa Monica's municipal urban forest. Urb. Ecosyst. 6, 291-302.