Monitoring forest changes in the southwestern United States using multitemporal Landsat data

Remote Sensing of Environment

Volumn 113, Issue 8, 2009, Pages 1739-1748

  Vogelmann, James E ^a   Tolk, Brian ^b   Zhu, Zhiliang ^c  

^a EARTH RESOURCES OBSERVATION AND SCIENCE EROS CENTER   (United States)

^b SGT INC   (United States)

^c U S GEOLOGICAL SURVEY   (United States)

Author keywords

Forest change; Landsat; Time series

Indexed keywords

CONIFER FORESTS; CONIFER STANDS; FOREST CHANGE; FOREST DAMAGE; FOREST HEALTH MONITORING; FOREST SERVICE; GENERAL PATTERNS; INFRARED INDICES; INSECT DEFOLIATION; LANDSAT; LANDSAT THEMATIC MAPPER; MULTI-TEMPORAL; NATIONAL FORESTS; NEW MEXICO; SPATIAL PATTERNS; SPECTRAL CHANGE; TIME-SERIES DATA; UNITED STATES DEPARTMENT OF AGRICULTURES; WESTERN UNITED STATES;

DROUGHT; FORESTRY; IMAGE ANALYSIS; TIME SERIES;

MAPPING;

CONIFEROUS FOREST; DEFOLIATION; DROUGHT STRESS; FOREST DYNAMICS; FOREST ECOSYSTEM; LANDSAT THEMATIC MAPPER; MORTALITY; TIME SERIES; WILDERNESS AREA;

DEFOLIATION; DROUGHT; FORESTRY; IMAGE ANALYSIS; SOFTWOODS; TIME SERIES ANALYSIS;

NEW MEXICO; NORTH AMERICA; SANTA FE NATIONAL FOREST; UNITED STATES;

CONIFEROPHYTA; HEXAPODA;

EID: 66049121398     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2009.04.014     Document Type: Article

References (38)

1. Baker R.D., Maxwell R.S., Treat V.H., and Dethloff H.C. Timeless heritage: a history of the Forest Service in the Southwest, US Department of Agriculture, Forest Service FS-409 (1988) 256 pp
2. Beck P.S.A., Jonsson P., Hogda K.A., Karlsen S.R., Eklundh L., and Skidmore A.K. A ground-validated NDVI dataset for monitoring vegetation dynamics and mapping phenology in Fennoscandia and the Kola peninsula. International Journal of Remote Sensing 28 (2007) 4311-4330
3. Boland G.J., Melzer M.S., Hopkin A., Higgins V., and Nassuth A. Climate change and plant diseases in Ontario. Canadian Journal of Plant Pathology 26 (2004) 225-350
4. Breshears D.B., Cobb N.S., Rich P.M., Price K.P., Allen C.D., Balice R.G., et al. Regional vegetation die-off in response to global-change-type drought. Proceedings of the National Academy of Sciences 102 (2005) 15144-15148
5. Chander G., Markham B.L., and Helder D.L. Summary of current radiometric calibration coefficients for Lnadsat MSS, Tm, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113 (2009) 893-903
6. Clark J., and Bobbe T. Using remote sensing to map and monitor fire damage in forest ecosystems. In: Wulder M.A., and Franklin S.E. (Eds). Understanding Forest Disturbance and Spatial Pattern (2006), CRC Press, Boca Raton, Florida 246 pp
7. Comer P.D., Faber-Langendoen D., Evans R., Gawler S., Josse C., Kittel G., et al. Ecological Systems of the United States: A Working Classification of U.S. Terrestrial Systems (2003), NatureServe, Arlington, Virginia
8. Conservation Biology Institute (2009). http://www.consbio.org/
9. Coppin P., Jonckheere I., Nackaerts K., Muys B., and Lambin E. Digital change detection methods in ecosystem monitoring: a review. International Journal of Remote Sensing 10 (2004) 1565-1596
10. DellaSala D.A., Staus N.L., Strittholt J.R., Hackman A., and Iacobelli A. An updated protected areas database for the United States and Canada. Natural Areas Journal 21 (2001) 124-135
11. Fellin D.G., and Dewey J.E. Western spruce budworm. USDA Forest Service. Forest Insect and Disease Leaflet 53 (1982)
12. FIA (2009). http://www.fia.fs.fed.us
13. Gitlin A.R., Stultz C.M., Bowker M.A., Stumpf S., Paxton K.L., Kennedy K., et al. Mortality gradients within and among dominant plant populations as barometers of ecosystem change during extreme drought. Conservation Biology 20 (2006) 1477-1486
14. Goodwin N.R., Coops N.C., Wulder M.A., Gillanders S., Schroeder A., and Nelson T. Estimation of insect infestation dynamics using a temporal sequence of Landsat data. Remote Sensing of Environment 112 (2008) 3680-3689
15. Hansen M.C., Roy D.P., Lindquist E., Adusei B., Justice C.O., and Alstatt A. A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo Basin. Remote Sensing of Environment 112 (2008) 2495-2513
16. Kennedy R.E., Cohen W.B., and Schroeder T.A. Trajectory-based change detection for automated characterization of forest disturbance dynamics. Remote Sensing of Environment 110 (2007) 370-386
17. LANDFIRE (2009). http://www.landfire.gov
18. Lovett G.M., Canham C.D., Arthur M.A., Weathers K.C., and Fitzhugh R.D. Forest ecosystem responses to exotic pests and pathogens in eastern North America. BioScience 56 (2006) 395-405
19. Maclauchlan L.E., Brooks J.E., and Hodge J.C. Analysis of historic western spruce budworm defoliation in south central British Columbia. Forest Ecology and Management 226 (2006) 351-356
20. Masek J.G., Huang C., Wolfe R., Cohen W., Hall F., Kutler J., et al. North American forest disturbance mapped from decadal Landsat record. Remote Sensing of Environment 112 (2008) 2914-2926
21. MRLC (2009). http://www.mrlc.gov
22. Mueller R.C., Scudder C.M., Porter M.E., Trotter R.T., Gehring C.A., and Whitham T.G. Differential tree mortality in response to severe drought: Evidence for long-term vegetation shifts. Journal of Ecology 93 (2005) 1085-1093
23. NOAA (National Oceanic and Atmospheric Administration). U.S. Drought Monitor, National Drought Summary-January 2003. Climate Prediction Center, Camp Springs, Maryland (2003). http://www.drought.unl.edu/dm/archive/2003/drmon0107.htm Available from http://www.drought.unl.edu/dm/archive/2003/drmon0107.htm (accessed March 2004)
24. Perry G.L.W., and Millington J.D.A. Spatial modeling of succession-disturbance dynamics in forest ecosystems: Concepts and examples. Perspectives in Plant Ecology, Evolution and Systematics 9 (2007) 191-210
25. Roder A., Hill J., Duguy B., Alloza J.A., and Vallejo R. Using long time series of Landsat data to monitor fire events and post-fire dynamics and identify driving factors. A case study in the Ayora region (eastern Spain). Remote Sensing of Environment 112 (2008) 259-273
26. Roder A., Udelhoven T., Hill J., Barrio G., and Tsiourlis G. Trend analysis of Landsat-TM and -ETM+ imagery to monitor grazing impact in a rangeland ecosystem in northern Greece. Remote Sensing of Environment 112 (2008) 2863-2875
27. Rouault G., Candau J., Lieutier F., Nageleisen L., Martin J., and Warzee N. Effects of drought and heat on forest insect populations in relation to the 2003 drought in Western Europe. Annals of Forest Science 63 (2006) 613-624
28. Souza C.M., and Roberts D. Mapping forest degradation in the Amazon region with Ikonos images. International Journal of Remote Sensing 26 (2005) 425-429
29. Turner M.G. Landscape ecology: What is the state of the science?. Annual Review of Ecology, Evolution and Systematics 36 (2005) 319-344
30. United States Department of Agriculture (2009). http://www.fs.fed.us
31. United States Geological Survey (2009). http://ned.usgs.gov/
32. US Drought Monitor (2009). http://www.droughtmonitor.unl.edu
33. Van Bael S.A., Aiello A., Valderrama A., Medianero E., Samaniego M., and Wright S.J. General herbivore outbreak following an El Nino-related drought in a lowland Panamanian forest. Journal of Tropical Ecology 20 (2004) 625-633
34. Vogelmann J.E. Comparison between two vegetation indices for measuring different types of forest damage in the northeastern United States. International Journal of Remote Sensing 11 (1990) 2281-2297
35. Vogelmann J.E., and Rock B.N. Assessing forest damage in high-elevation coniferous forests in Vermont and New Hampshire using Thematic Mapper data. Remote Sensing of Environment 24 (1988) 227-246
36. Wickman B.E., Mason R.R., and Trostle G.C. Douglas-fir tussock moth. USDA Forest Service. Forest Insect and Disease Leaflet 86 (1981)
37. Worrall J.J., Egeland L., Eager T., Mask R.A., Johnson E.W., Kemp P.A., et al. Rapid mortaliy of Populus tremuloides in southwestern Colorado, USA. Forest Ecology and Management 255 (2008) 686-696
38. Wulder M.A., Dymond C.C., White J.C., Leckie D.G., and Caroll A.L. Surveying mountain pine beetle damage of forests: A review of remote sensing opportunities. Forest Ecology and Management 221 (2006) 27-41