Determining the rate of forest conversion in Mato Grosso, Brazil, using Landsat MSS and AVHRR data

References

• ANDERSON , V. , COTE , L. , and PILLAI , K. C. S. , 1985 , Sampling United Stales forests using Landsat data. Technical Report 85-22 , Department of Statistics , Purdue University , West Lafayette , Indiana .
   Google Scholar
• BRYSON , R. A. , 1974 , A perspective on climatic change . Science, New York , 184 , 753 – 760 .
   Google Scholar
• COLWELL , J. E. , 1983 , Regional inventory by joint use of coarse and fine resolution satellite data . Proceedings of the 17th International Symposium on Remote Sensing of Environment , Ann Arbor , Michigan . ( Environmental Research Institute of Michigan ) , pp. 1077 – 1083 .
   Google Scholar
• ESL , 1978 , ID1MS Functional Guide , Vols 1 , 2 ( Sunnyvale , California Electromagnetic Systems Laboratory ).
   Google Scholar
• FEARNSIDI; , P. M. , 1982 , Deforestation in the Brazilian Amazon how fast is it occurring? Interciencia , 7 , 82 – 88 .
   Google Scholar
• FLEMING , M. D. , BERKEBILE , J. , and HOFFER , R. M. , 1975 , Computer-aided analysis of Landsat-IMSS data a comparison of three approaches, including a “modified clustering” approach . Machine Processing of Remotely Sensed Data Symposium , Purdue University , West Lafayette , Indiana , pp. 1 b-54–lb-6l .
   Google Scholar
• FLEMING , M. D. , and HOFFER , R. M. , 1977 , Computer-aided analysis techniques for an operational system to map forest lands utilizing Landsat MSS data. LARS Technical Report 112277 , Laboratory for Applications of Remote Sensing , West Lafayette , Indiana ( cc, University ) .
   Google Scholar
• Fox III , L. , and MAYER , K. E. , 1979 , Using guided clustering techniques to analyze Landsat data for apping forest land cover in Northern California . Machine Processing of Remotely Sensed Data Symposium , Purdue University , West Lafayette , Indiana , pp. 364 – 367 .
   Google Scholar
• FREESE , F. , 1962 , Elementary Forest Sampling ( Ag. Handbook No. 232, U.S.DA. Forest Service ) ( Washington , D.C. U.S. Government Printing Office ).
   Google Scholar
• GENTRY , A. H. , and LOPEZ-PARODI , J. , 1980 , Deforestation and increased flooding of the Upper Amazon . Science, New York , 210 , 1354 – 1356 .
   Google Scholar
• GERVIN , J. C. , KERBER , A. G. , WITT , R. G. , LU , Y. C. , and SEKHON , R. , 1985 , Comparison of level I land cover classification accuracy for MSS and AVHRR data . International Journal of Remote Sensing , 6 , 47 – 57 .
   Web of Science ®Google Scholar
• GILMER , D. S. , WORK , E. A. , COLWELL , J. E. , and REBEL , D. L. , 1980 , Enumeration of prairie wetlands with Landsat and aircraft data . Photogrummetric Engineering and Remote Sensing , 56 , 631 – 634 .
   Google Scholar
• GOEF , T. , and KALB , V. , 1986 , Ramtek Image System Programs, A Users Guide, Tutorial, and Documentation ( Code 623 ) ( Grccnbelt , Maryland NASA/Goddard Space Flight Center ).
   Google Scholar
• GOODLAND , R. J. A. , and IRWIN , H. S. , 1975 , Amazon Jungle Green Hell to Red Desert? ( New York Elsevier ).
   Google Scholar
• HALLUM , C. R. , 1984 , Sampling, stratification, and. aggregation approaches for global vegctation/biomass monitoring . Report No. JSC-18922 , Johnson Space Center , Houston , Texas .
   Google Scholar
• HAWLEY , D. L. , 1979 , Forest inventory of clearcuts utilizing remote sensing techniques . Proceedings of the 13th International Symposium on Remote Sensing of Environment , Ann Arbor , Michigan ( Environmental Research Institute of Michigan ) pp. 1385 – 1407 .
   Google Scholar
• HiiLLiiR , R. C. , and JOHNSON , K. A. , 1979 , Estimating irrigated land acreage from Landsat imagery . Photogrummetric Engineering and Remote Sensing , 45 , 1379 – 1386 .
   Google Scholar
• HORLER , D. N. H. , and AHERN , F. J. , 1986 , Forestry information content of thematic mapper data . International Journal of Remote Sensing , 7 , 405 – 428 .
   Web of Science ®Google Scholar
• HOUGHTON , R. A. , and WOOIJWELL , G. M. , 1981 , Biolic contributions to the global carbon cycle the role of remote sensing . Machine Processing of Remotely Sensed Data Symposium , West Lafayette , Indiana . ( Purdue University ) pp. 593 – 600 .
   Google Scholar
• HUSCH , B. , MILLER , C. I. , and BEERS , T. W. , 1972 , Forest Mensuration , second edition ( New York Ronald Press Co. ).
   Google Scholar
• IBGE , 1982 , Sinopse Estatistica da Regiao Centro-Oeste ( Rio de Janeiro Fundacao instiluto Brasileiro de Geografia e Estatistica ).
   Google Scholar
• JOHNSON , G. R. , BARTHMAIER , E. , GREGG , T. W. D. , and AULDS , R. E. , 1979 , Forest stand classification in western Washington using Landsat and computer-based resource data , Proceedings of the 13th International Symposium on Remote Sensing of Environment , Ann Arbor , Michigan ( Environmental Research Institute of Michigan ) pp. 1681 – 1695 .
   Google Scholar
• KIDWELL , K. B. , 1984 , NOAA Polar Orhiter Data (Tiros-N, NOAA-6, NOAA-7, andNOAA-8) Users Guide ( Washington , DC NOAA/NESDIS/NCDC Satellite Data Services Division, World Weather Building ).
   Google Scholar
• KIRBY , C. L. , and VANECK , P. I. , 1977 , A basis for multistage forest inventory in the Boreal Forest region . 4th Canadian Symposium on Remote Sensing . Loews le Concorne, Quebec , pp. 72 – 94 .
   Google Scholar
• LANGLEY , P. G. , 1969 , New multi-stage sampling techniques using space and aircraft imagery for forest inventory . Proceedings of the 5th International Symposium on Remote Sensing of Environment , Ann Arbor , Michigan ( Environmental Research Institute of Michigan ) pp. 1179 – 1191 .
   Google Scholar
• LAS , 1986 , LAS Users Manual , Version 3.1 (Code 630) ( Greenbelt , Maryland NASA/Goddard Space Flight Center ).
   Google Scholar
• LUGO , A. E. , and BROWN , S. , 1982 , Conversion of tropical moist forests a critique . Interciencia , 7 , 89 – 93 .
   Web of Science ®Google Scholar
• MALINGREAU , J. P. , 1984 , Remote sensing and disaster monitoring, a review of applications in Indonesia . Proceedings of the 18th International Symposium on Remote Sensing of Environment , Paris .
   Google Scholar
• MARES , M. A. , 1986 , Conservation in South America problems, consequences, and solutions . Science, New York , 233 , 734 – 739 .
   Google Scholar
• MYERS , N. , 1980 , Conversion of Tropical Moist Forests ( Washington , D.C. National Academy of Sciences ).
   Google Scholar
• NELSON , R. , 1981 , A comparison of two methods for classifying forestlands . International Journal of Remote Sensing, 2 , 49 – 60 .
   Google Scholar
• NELSON , R. , CASE , D. , HORNING , N. , ANDERSON , V. , and PILLAI , S. , 1987 , Continental land cover assessment using Landsat MSS data . Remote Sensing of Environment , 21 , 61 – 81 .
   Web of Science ®Google Scholar
• NELSON , R. , and HOLBEN , B. , 1986 , Identifying deforestation in Brazil using multiresolution satellite data . International Journal of Remote Sensing , 7 , 429 – 448 .
   Web of Science ®Google Scholar
• NELSON , R. , and HORNING , N. , 1986 , Monitoring tropical deforestation in Mato Grosso, Brazil using Landsat MSS and AVHRR data . Final Report, Code 623 , NASA/GSFC , Greenbelt , Maryland .
   Google Scholar
• RENSBERGER , B. , 1986 , Scientists see signs of mass extinction . Washington Post , Sept. 29 , p. A1 .
   Google Scholar
• ROHDE , W. C. , MILLER , W. A. , BONNER , K. G. , HERTZ , E. , and ENGEL , M. F. , 1979 , A stratified-clustcr sampling procedure applied to a wildland vegetation inventory using remote sensing . Proceedings of the 13th International Symposium on Remote Sensing of Environment , Ann Arbor , Michigan ( Environmental Research Institute of Michigan ) pp. 167 – 179 .
   Google Scholar
• RUBINOFF , I. , 1984 , If we lose the tropical forests, no birds will sing . Washington Post , 5 Aug. , p. C1 .
   Google Scholar
• SAGAN , C. , TOON , O. B. , and POLLACK , J. B. , 1979 , Anthropogenic albedo changes and the Earth's climate . Science , 206 , 1363 – 1368 .
   PubMed Web of Science ®Google Scholar
• SALATI , E. , and VOSE , P. B. , 1983 , Depletion of tropical rain forests . Ambio , 12 , 67 – 71 .
   Web of Science ®Google Scholar
• SALATI , E. , and VOSE , P. B. , 1984 , Amazon Basin a system in equilibrium . Science , 225 , 129 – 138 .
   PubMed Web of Science ®Google Scholar
• SCHAEFFER , R. L. , MENDENHALL , W. , and OTT , L. , 1979 , Elementary Survey Sampling , second edition ( Boston Duxbury Press ).
   Google Scholar
• SIOLI , H. , 1975 , In Tropical Ecological Systems Trends in Terrestrial and Aquatic Research , second edition, edited by F. B. Golley and E. Medina ( New York Springer-Verlag ), pp. 275 – 288 .
   Google Scholar
• SIOLI , H. , 1985 , The effects of deforestation in Amazonia . In Change in the Amazon Basin . Vol. I , Man's Impact on Forest and Rivers, edited by J. Hemming ( Manchester University Press ), Chap. 4 .
   Google Scholar
• SLATHR , P. , 1979 , A reexamination of the Landsat MSS* . Photogrammetric Engineering and Remote Sensing . 45 , 1479 – 1485 .
   Google Scholar
• SMITH , N. J. H. , 1981 , Colonization lessons from a tropical forest . Science, New York . 214 , 755 – 761 .
   Google Scholar
• TALBOT , J. T. , 1981 , What's happening to the world's forest resources? Machine Processing of Remotely Sensed Data Symposium , West Lafayette , Indiana ( Purdue University ) pp. 587 – 592 .
   Google Scholar
• TITUS , S. , GIALDINI , M. , and NICHOLS , J. , 1975 , A total timber resource inventory based upon manual and automated analysis of Landsat-1 and supporting aircraft data using stratified multistage smpling techniques . Proceedings of the 10th International Symposium on Remote Sensing of Environment , Ann Arbor , Michigan ( Environmental Research Institute or Michigan ) pp. 1093 – 1099 .
   Google Scholar
• TUCKER , C. J. , HOLBEN , B. N. , and GOFF , E. , 1984 , Intensive forest clearing in Rondonia, Brazil, as detected by satellite remote sensing . Remote Sensing of Environment , 15 , 255 – 261 .
   Web of Science ®Google Scholar
• TUCKER , C. J. , TOWNSHEND , J. R. G. , and GOFF , T. E. , 1985 a , African land-cover classification using satellite data . Science, New York , 227 , 369 – 375 .
   Google Scholar
• TUCKER , C.J. , VANPRAET , C. L. , SHARMAN , M.J. , and VAN ITTERSUM , G. , 1985 b , Satellite remote sensing of total herbaceous biomass, Satellite remote sensing of total herbaceous biomass production in the Seneghalese Sahel 1980-1984 . Remote Sensing of Environment , 17 , 233 – 249 .
   Web of Science ®Google Scholar
• UNESCO , 1980 , Vegetation Map of South America , 15000 000 , ( Rome FAO/UNESCO ).
   Google Scholar
• U.S.G.S. , 1982 , Index to Landsat Worldwide System (WRS) , Landsats 1,2, 3, and 4, Sheet 18 . EROS Data Center , Sioux Falls , South Dakota .
   Google Scholar
• U.S.G.S. , 1984 , Landsat 4 Data Users Handbook ( Alexandria , Virginia NOAA/U.S. Geological Survey ).
   Google Scholar
• WONG , C. S. , 1978 , Atmospheric input of carbon dioxide from burning wood . Science, New York , 200 , 197 – 200 .
   Google Scholar
• WOOOWELL , G. M. , HOBBIE , J. E. , HOUGHTON , R. A. , MELILLO , J. M. , PETERSON , B. J. , SHAVER , G. R. , STONE , T. A. , MOORE , B. , and PARK , A. B. , 1983 , Deforestation measured by Landsat steps toward a method . Report No. DOE/EV/10468-1 , U.S. Department of Energy , Washington , D.C. .
   Google Scholar