1,038
Views
434
CrossRef citations to date
0
Altmetric
Original Articles

Digital change detection in forest ecosystems with remote sensing imagery

&
Pages 207-234 | Published online: 19 Oct 2009

References

  • Abern , F. J. , Brown , R. J. , Cihlar , J. , Gauthier , R. , Murphy , J. , Neville , R. A. and Teillet , P. M. 1988 . “ Radiometric correction of visible and infrared remote sensing data at the Canada Center for Remote Sensing ” . In Remote Sensing yearbook 1988/1989 , Edited by: Cracknell , A. and Hayes . 101 – 127 . London : Taylor and Francis .
  • Aldrich , R. C. 1975 . Detecting disturbances in a forest environment . Photogramm. Eng. Remote Sens. , 41 : 39 – 48 .
  • Allum , J. A. and Dreisinger , B. R. 1986 . Remote sensing of vegetation change near Inco's Sudbury mining complexes . Int. J. Remote Sens. , 8 : 399 – 416 .
  • Alwashe , M. A. and Bokhari , A. Y. 1993 . Monitoring vegetation changes in Al Madinah, Saudi Arabia, using Thematic Mapper data . Int. J. Remote Sens. , 14 : 191 – 197 .
  • Andres , L. , Salas , W. A. and Skole , D. 1994 . Fourier analysis of multi‐temporal AVHRR data applied to a land cover classification . Int. J. Remote Sens. , 15 : 1115 – 1121 .
  • Banner , A. and Lynham , T. . Multi‐temporal analysis of Landsat data for forest cutover mapping — A trial of two procedures . Proc. 7th Can. Symp. on Remote Sensing . Winnipeg, Canada. pp. 233 – 240 .
  • Baraldi , A. and Parmiggiani , F. . Classification methods on multispectral SPOT images . Proc. IGARSS'89 Symp. . Vancouver, Canada. pp. 1203 – 12078 .
  • Bauer , M. E. , Burk , T. E. , Ek , A. R. , Coppin , P. R. , Lime , S. D. , Walsh , T. A. and Walters , D. K. 1994 . Inventory of Minnesota forest resources with Landsat TM data . Photogramm. Eng. Remote Sens. , 60 : 287 – 298 .
  • Benediktsson , J. A. , Swain , P. H. and Ersoy , O. K. 1990 . Neural network approaches versus statistical methods in classification of multisource remote sensing data . IEEE Trans. Geosci. Remote Sens. , 28 (4) : 540 – 552 .
  • Bolstad , P. V. and Lillesand , T. M. 1992 . Improved classification of forest vegetation in northern Wisconsin through a rule‐based combination of soils, terrain, and Landsat Thematic Mapper data . Forest Science , 38 (1) : 5 – 20 .
  • Bischof , H. , Schneider , W. and Pinz , A. J. 1992 . Multispectral classification of Landsat images using neural networks . IEEE Trans. Geosci. Remote Sens. , 30 (3) : 482 – 490 .
  • Burns , G. S. and Joyce , A. T. . Evaluation of land cover change detection techniques using Landsat MSS data . Proc. 7th Pecora Symp. . Sioux Falls, South Dakota. pp. 252 – 260 .
  • Caselles , V. and Lopez Garcia , M. J. 1989 . An alternative simple approach to estimate atmospheric correction in multitemporal studies . Int J. Remote Sens. , 10 : 1127 – 1134 .
  • Chavez , P. S. 1989 . Radiometric calibration of Landsat Thematic Mapper multispectral images . Photogramm. Eng. Remote Sens. , 55 : 1285 – 1294 .
  • Cihlar , J. , Pultz , T. J. and Gray , A. L. 1992 . Change detection with synthetic radar . Int. J. Remote Sens. , 13 : 401 – 414 .
  • Collins , J. B. and Woodcock , C. E. 1994 . Change detection using the Gramm‐Schmidt transformation applied to mapping forest mortality . Remote Sens. Environ. , 50 : 267 – 279 .
  • Collins , J. B. and Woodcock , C. E. 1996 . An assessment of several linear change detection techniques for mapping forest mortality using multitemporal Landsat TM data . Remote Sens. Environ. , in Press
  • Colwell , J. E. , Davis , G. and Thomson , F. 1980 . Detection and measurement of changes in the production and quality of renewable resources , USDA Forest Service Final Report No. 145300–4‐F Ann Arbor, MI : ERIM .
  • Colwell , J. E. and Weber , F. P. . Forest change detection . Proc. 15th Int. Symp. on Remote Sensing of Environment . Ann Arbor, MI. pp. 839 – 852 .
  • Conel , J. E. 1990 . Determination of surface reflectance and estimates of atmospheric optical depth and single scattering albedo from Landsat Thematic Mapper data . Int. J. Remote Sens. , 11 : 783 – 828 .
  • Coppin , P. R. and Bauer , M. E. 1994 . Processing of multitemporal Landsat TM imagery to optimize extraction of forest cover change features . IEEE Trans. Geosci. Remote Sens. , 32 : 918 – 927 .
  • Coppin , P. R. and Bauer , M. E. 1995 . The potential contribution of pixel‐based canopy change information to stand‐based forest management in the northern U.S. . J.Environ. Management , 44 : 69 – 82 .
  • Crist , E. P. and Cicone , R. C. 1984 . Application of the tasseled cap concept to simulated Thematic Mapper data . Photogramm. Eng. Remote Sens. , 50 : 343 – 352 .
  • Duggin , M. J. and Robinove , C. J. 1990 . Assumptions implicit in remote sensing data acquisition and analysis . Int. J. Remote Sens. , 11 : 1669 – 1694 .
  • Edwards , G. . Image segmentation, cartographic information and knowledge‐based reasoning: getting the mixture right . Proc. IGARSS'90 Symp. . pp. 1641 – 1644 . College Park, MD : University of Maryland .
  • Ekstrand , S. . The possibilities of assessing moderate damages on Norway spruce using Land‐sat TM data and ancillary stand information in a GIS environment . Proc. IGARSS'89 Symp. . Vancouver, Canada. pp. 1553 – 1557 .
  • Flamm , R. O. and Turner , M. G. 1994 . “ GIS applications perspective: multidiscplinary modeling and GIS for landscape management ” . In Remote Sensing and GIS in Ecosystem Management , Edited by: Sample , V. A. 201 – 212 . Washington, DC : Island Press .
  • Fung , T. and LeDrew , E. 1987 . Application of principal components analysis to change detection . Photogramm. Eng. Remote Sens. , 53 : 1649 – 1658 .
  • Fung , T. and LeDrew , E. 1988 . The determination of optimal threshold levels for change detection using various accuracy indices . Photogramm. Eng. Remote Sens. , 54 : 1449 – 1454 .
  • Fung , T. 1990 . An assessment of TM imagery for land cover change detection . IEEE Trans. Geosci. Remote Sens. , 28 : 681 – 684 .
  • Gopal , S. and Woodcock , C. E. 1995 . Remote sensing of forest change using artificial neural networks . IEEE Trans. Geosci. Remote Sens. , in press
  • Gregory , M. S. , Walsh , S. J. and Vitek , J. D. . Mechanics of monitoring forest clear cuts and their regeneration . Proc. 7th Int. Symp. on Machine Processing of Remotely Sensed Data with Special Emphasis on Range, Forest, and Wetlands Assessment . pp. 520 – 527 . West Lafayette, IN : Purdue University .
  • Hahn , J. T. , McRoberts , R. E. and Befort , W. . Annual forest inventory system (AFIS): integrating data base techniques, satellite imagery, annual designed sampling and modeling . Proc. Conf. Integral. Forest Resource Informal. Space, Time . Canberra, Australia. pp. 314 – 324 .
  • Hall , F. G. 1994 . “ Adaptation of NASA remote sensing technology for regional‐level analysis of forested ecosystems ” . In Remote Sensing and GIS in Ecosystem Management , Edited by: Sample , V. A. 287 – 313 . Washington, DC : Island Press .
  • Hall , F. G. , Strebel , D. E. , Nickeson , J. F. and Goetz , S. J. 1991a . Radiometric rectification: Toward a common radiometric response among multi‐date, multi‐sensor images . Remote Sens. Environ. , 35 : 11 – 27 .
  • Hall , F. G. , Botkin , D. B. , Strebel , D. E. , Woods , K. D. and Goetz , S. J. 1991b . Large‐scale patterns of forest succession as determined by remote sensing . Ecology , 72 : 628 – 640 .
  • Hall , F. G. , Townshend , J. R. and Engman , E. T. 1995a . Status of remote sensing algorithms for estimation of land surface state parameters . Remote Sens. Environ. , 51 : 138 – 156 .
  • Hall , F. G. , Shimabukuro , Y. E. and Huemmrich , K. F. 1995b . Remote sensing of forest biophysical structure in boreal stands of Picia Mariana using mixture decomposition and geometric reflectance models . Ecological Applications , in press
  • Hall , R. J. , Crown , P. H. and Titus , S. J. 1984 . Change detection methodology for aspen defoliation with Landsat MSS digital data . Can. J. Remote Sens. , 10 : 135 – 142 .
  • Hame , T. H. 1986 . “ Satellite image aided change detection ” . In Remote Sensing‐Aided Forest Inventory, Research Notes No. 19 , 47 – 60 . Helsinki, , Finland : Department of Forest Mensuration and Management, University of Helsinki .
  • Hame , T. H. 1988 . “ Interpretation of forest changes from satellite scanner imagery ” . In Satellite Imageries for Forest Inventory and Monitoring; Experiences, Methods, Perspectives, Research Notes No. 21 , 31 – 42 . Helsinki, , Finland : Department of Forest Mensuration and Management, University of Helsinki .
  • He , D. C. and Wang , L. . Texture feature extraction from texture spectrum . Proc. IGARSS'90 Symp. . pp. 1987 – 1990 . Washington, DC
  • Hill , J. and Sturm , B. 1991 . Radiometric correction of multitemporal Thematic Mapper data for use in agricultural land cover classification and vegetation monitoring . Int. J. Remote Sens. , 12 : 1471 – 1491 .
  • Hobbs , R. J. 1990 . “ Remote sensing of spatial and temporal dynamics of vegetation ” . In Remote Sensing of Biosphere Functioning , Edited by: Hobbs , R. J. and Mooney , H. A. 203 – 219 . New York : Springer Verlag .
  • Howarth , P. J. and Wickware , G. M. 1981 . Procedures for change detection using Landsat . Int. J. Remote Sens. , 2 : 277 – 291 .
  • Huete , A. , Justice , C. and Liu , H. 1994 . Development of vegetation and soil indices for MODISEOS . Remote Sens. Environ. , 49 : 224 – 234 .
  • Ingebritsen , S. E. and Lyon , R. J. 1985 . Principal components analysis of multitemporal image pairs . Int J. Remote Sens. , 6 : 687 – 696 .
  • Jakubauskas , M. E. 1989 . “ Utilizing a geographic information system for vegetation change detection ” . In Techn. Pap. ASPRS/ACSM'89 Conv. 4 56 – 64 . Baltimore, MD
  • Jano , A. P. and Pala , S. . A practical method for monitoring and mapping cutovers based on the digital analysis of Landsat data and automated map production . Proc. 8th Can. Symp. on Remote Sensing . Montreal, Canada. pp. 567 – 573 .
  • Jensen , J. R. 1981 . Urban change detection mapping using Landsat digital data . The American Cartographer , 8 : 127 – 147 .
  • Kaufman , Y. J. and Tanre , D. 1995 . Strategy for direct and indirect methods for correcting the aerosol effect on remote sensing: From AVHRR to EOS‐MODIS . Remote Sens. Environ. , in press
  • Khorram , S. , Biging , G. S. , Chrisman , N. R. , Colby , D. R. , Congalton , R. G. , Dobson , J. E. , Ferguson , R. L. , Jensen , J. R. and Mace , T. H. 1994 . Accuracy Assessment of Land Cover Change Detection , Raleigh, NC : Computer Graphics Center . Report 101
  • Kneppeck , I. D. and Ahern , F. J. . Stratification of a regenerating burned forest in Alberta using Thematic Mapper and C‐SAR images . Proc. IGARSS'89 Symp. . Vancouver, Canada. pp. 1391 – 1396 .
  • Lagran , G. 1992 . Preparing for a temporal forest GIS . The Compiler , 10 (3) : 18 – 26 .
  • Lambin , E. F. and Strahler , A. H. 1994a . Change‐vector analysis in multitemporal space: a tool to detect and categorize land‐cover change processes using high temporal‐resolution satellite data . Remote Sens. Environ. , 48 : 231 – 244 .
  • Lambin , E. F. and Strahler , A. H. 1994b . Indicators of land‐cover change for change‐vector analysis in multitemporal space at coarse spatial scales . Int J. Remote Sens. , 15 : 2099 – 2119 .
  • Lee , Y. J. . Delineation of clear cut area using thematic mapper data and perceptron image analysis system on an IBM microcomputer . Proc 2nd Forest Service. Remote Sens. Applications Conf.: Remote Sensing for Resource Inventory, Planning and Monitoring . Slidell, LA. pp. 237 – 241 . NSTL, Mississippi
  • Lee , J. K. , Lulla , K. P. and Mausel , P. W. 1989 . Data structure characterization of multispectral data using principal component and principal factor analysis . Geocarto , 2 : 43 – 47 .
  • Ludeke , A. K. , Maggio , R. C. and Reid , L. M. 1990 . An analysis of anthropogenic deforestation using logistic regression and GIS . J.Environmental Management , 31 : 247 – 259 .
  • Lund , H. G. . Change: now you see it—now you don't . Proc. Int. Conf. on Renewable Resource Inventories for Monitoring Changes and Trends . pp. 211 – 213 . Corvallis : Oregon State University .
  • Malila , W. A. . Change vector analysis: an approach detecting forest changes with Landsat . Proc. 6th Int. Symp. on Machine Processing of Remotely Sensed Data . pp. 326 – 335 . West Lafayette, IN : Purdue University .
  • McRoberts , R. E. , Schmoldt , D. L. and Rauscher , H. M. 1991 . Enhancing the scientific process with artificial intelligence: forest science applications . Art. Intelligence Appl. , 5 : 5 – 26 .
  • Milne , A. K. . Change direction analysis using Landsat imagery: A review of methodology . Proc. IGARSS'88 Symp. . Edinburgh, Scotland. pp. 541 – 544 . (ESA SP‐284)
  • Mladenoff , D. J. and Host , G. E. 1994 . “ Ecological perspective: Current and potential applications of remote sensing and GIS to ecosystem analysis ” . In Remote Sensing and GIS in Ecosystem Management , Edited by: Sample , V. A. 218 – 242 . Washington, DC : Island Press .
  • Mladenoff , D. J. , Host , G. E. , Boeder , J. and Crow , T. R. . LANDIS: A spatial model of forest landscape disturbances and succession at multiple scales . Proc. Second International Conference on Integrating GIS and Environmental Monitoring . Santa Barbara, CA : National Center on Geographic Information and Analysis .
  • Moore , M. M. and Bauer , M. E. 1990 . Classification of forest vegetation in North‐Central Minnesota using Landsat Multispectral Scanner and Thematic Mapper data . For. Sci. , 36 : 330 – 342 .
  • Muchoney , D. M. and Haack , B. N. 1994 . Change detection for monitoring forest defoliation . Photogramm. Eng. Remote Sens. , 60 : 1243 – 1251 .
  • Mukai , Y. , Sugimura , T. , Watanabe , H. and Wakamori , K. 1987 . Extraction of areas infested by pine bark beetle using Landsat MSS data . Photogramm. Eng. Remote Sens. , 53 : 77 – 81 .
  • Mulder , N. J. , Middelkoop , H. and Miltenburg , J. W. 1991 . Progress in knowledge engineering for image interpretation and classification . J.Photogramm. Remote Sens. , 46 : 161 – 171 .
  • Nelson , R. F. 1983 . Detecting forest canopy change due to insect activity using Landsat MSS . Photogramm. Eng. Remote Sens. , 49 : 1303 – 1314 .
  • Park , A. B. , Wescott , T. F. and Royal , J. A. . Urban encroachment on agricultural land . Proc. Int Symp. on Remote Sensing of Environment, First Thematic Conference: “Remote Sensing of Arid and Semi‐Arid Lands” . Cairo, Egypt. pp. 217 – 226 .
  • Park , A. B. , Houghton , R. A. , Hicks , G. M. and Peterson , C. J. . Multitemporal change detection techniques for the identification and monitoring of forest disturbances . Proc. 17th Int. Symp. on Remote Sensing of Environment . Ann Arbor, MI. pp. 77 – 97 .
  • Pilon , P. G. , Howarth , P. J. and Adeniyi , P. O. . Improving the detection of human‐induced change in West Africa's semi‐arid zone using multitemporal Landsat MSS imagery . Proc. 21st Int Symp. on Remote Sensing of Environment . Ann Arbor, MI. pp. 797 – 804 .
  • Pilon , P. G. , Howarth , P. J. , Bullock , R. A. and Adeniyi , P. O. 1988 . An enhanced classification approach to change detection in semi‐arid environments . Photogramm. Eng. Remote Sens. , 54 : 1709 – 1716 .
  • Reed , B. C. 1988 . “ Using textural measures to distinguish spectrally similar vegetation ” . In Techn. Pap. ACSM‐ASPRS'88 Conv Vol. 4 , 40 – 49 . St. Louis, MO
  • Rencz , A. N. 1985 . Multitemporal analysis of Landsat imagery for monitoring forest cutovers in Nova Scotia . Can. J. Remote Sens. , 11 : 188 – 194 .
  • Richards , J. A. 1984 . Thematic mapping from multitemporal image data using the principal components transformation . Remote Sens. Environ. , 16 : 35 – 46 .
  • Rignot , E. J. M. and Van Zyl , J. J. 1993 . Change detection techniques for ERS‐1 SAR data . IEEE Trans. Geosti. Remote Sens. , 31 : 896 – 906 .
  • Riordan , C. J. . Change detection for resource inventories using digital remote sensing data . Proc. Workshop on In‐Place Resource Inventories: Principles and Practices . pp. 278 – 283 . Orono, ME : University of Maine .
  • Robinove , C. J. 1982 . Computation with physical values from Landsat digital data . Photogramm. Eng. Remote Sens. , 48 : 781 – 784 .
  • Sader , S. A. 1988 . “ Remote sensing investigations of forest biomass and change detection in tropical regions ” . In Satellite Imageries for Forest Inventory and Monitoring; Experiences, Methods, Perspectives , Research Notes No. 21 31 – 42 . Helsinki, , Finland : Department of Forest Mensuration and Management, University of Helsinki .
  • Saraf , A. K. and Cracknell , A. P. 1989 . Linear discriminant and profile analysis: an aid in remote sensing for geobotanical investigation . Int. J. Remote Sens. , 10 : 1735 – 1748 .
  • Schowengerdt , R. A. 1983 . Techniques for Image Processing and Classification in Remote Sensing , 199 New York : Academic Press .
  • Singh , A. and Harrison , A. 1985 . Standardized principal components . Int. J. Remote Sens. , 6 : 883 – 896 .
  • Singh , A. 1986 . “ Change detection in the tropical forest environment of Northeastern India using Landsat ” . In Remote Sensing and Tropical Land Management , 237 – 254 . New York : John Wiley and Sons Ltd. .
  • Singh , A. 1989 . Digital change detection techniques using remotely‐sensed data . Int J. Remote Sens. , 10 : 989 – 1003 .
  • Teillet , P. M. . Advancements in land surface reflectance retrieval from multi‐sensor data . Proc. Conf. on Land Satellite Information in the Next Decade, Amer. Soc. Photogramm. and Remote Sensing . in press
  • Townshend , J. R. G. , Justice , C. O. , Gurney , C. and McManus , J. 1992 . The impact of misregistration on change detection . IEEE Trans. Geosci. Remote Sens. , 30 : 1054 – 1060 .
  • Ustin , S. L. , Smith , M. O. and Adams , J. B. 1993 . “ Remote sensing of ecological processes: A strategy for developing and testing ecological models using spectral mixture analysis ” . In Scaling of Physiological Processes: Leaf to Globe , Edited by: Ehleringer , J. R. and Field , C. B. 339 – 357 . San Diego : Academic Press .
  • Villasenor , J. D. , Fatland , D. R. and Hinzman , L. D. 1993 . Change detection on Alaska's North Slope using repeat‐pass ERS‐1 SAR images . IEEE Trans. Geosci. Remote Sens. , 31 (1) : 227 – 236 .
  • Vogelmann , J. E. 1988 . Detection of forest change in the Green Mountains of Vermont using multi‐spectral scanner data . Int. J. Remote Sens. , 9 : 1187 – 1200 .
  • 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 Sens. Environ. , 24 : 227 – 246 .
  • Wallace , J. F. and Campbell , H. 1989 . “ Analysis of remotely sensed data ” . In Remote Sensing of Biosphere Functioning , Edited by: Hobbs , R. J. and Mooney , H. A. 297 – 304 . New York : Springer Verlag .
  • Watanabe , H. and Hatamura , R. . Monitoring of forest felling through analysis of artificial satellite's information . Proc. 17th IUFRO Congr. Div. 6 . Ibaraki, Japan. pp. 496
  • Werle , D. , Lee , Y. J. and Brown , R. J. . The use of multi‐spectral and radar remote sensing data for monitoring forest clear cut and regeneration sites on Vancouver Island . Proc. 10th Canadian Symp. on Remote Sensing . Edmonton, Canada. pp. 319 – 329 .
  • Weydahl , D. J. . Change detection in SAR images . Proc IGARSS'91 Symp. . Espoo, Finland. pp. 1421 – 1424 .
  • White , R. G. 1991 . Change detection in SAR imagery . Int. J. Remote Sens. , 12 : 339 – 360 .
  • Williams , D. L. , Sellers , P. J. and Irons , J. R. 1994 . Global multistage, multispectral sampling capabilities in the late 1990's with sensors on Landsat 7 and the EOS AM1 platform . Proc. SPIE , 2314 : 98 – 106 .
  • Woodcock , C. E. , Collins , J. B. , Gopal , S. , Jakabhazy , V. D. , Li , X. , Macomber , S. , Ryherd , S. , Harward , V. J. , Levitan , J. , Wu , Y. and Warbington , R. 1994 . Mapping forest vegetation using Land‐stat TM imagery and a canopy reflectance model . Remote Sens. Environ. , 50 : 240 – 254 .
  • Xu , H. and Young , J. A. . Monitoring changes in land use through integration of remote sensing and GIS . Proc. IGARSS'90 Symp. . pp. 957 – 960 . College Park, MD : University of Maryland .
  • Yokota , T. and Matsumoto , Y. . Detection of seasonal and long‐term changes in land cover from multitemporal Landsat MSS data . Proc. IGARSS'88 Symp. ESA SP‐284 . Edinburgh, Scotland. pp. 215 – 218 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.