Monitoring secondary tropical forests using space-borne data: Implications for Central America

References

• ATKINSON , P. M. , CUTLER , M. E. J. and LEWIS , H. 1997 . Mapping sub-pixel proportional land cover with AVHRR imagery . International Journal of Remote Sensing , 18 : 917 – 935 .
   Web of Science ®Google Scholar
• AVIRIS home page, http://makalu.jpl.nasa.gov/ (http://makalu.jpl.nasa.gov/)
   Google Scholar
• BOYD , D. S. , FOODY , G. M. , CURRAN , P. J. , LUCAS , R. M. and HONZAK , M. 1996 . An assessment of radiance in Landsat TM middle and thermal infrared wavebands for the detection of tropical forest regeneration . International Journal of Remote Sensing , 17 : 249 – 261 .
   Web of Science ®Google Scholar
• BRONDIZIO , E. , MORAN , E. , MAUSEL , P. and Wu , Y. 1996 . Land cover in the Amazon Estuary: linking of the Thematic Mapper with botanical and historical data . Photogrammetric Engineering and Remote Sensing , 62 : 921 – 929 .
   Web of Science ®Google Scholar
• BROWN , S. and LUGO , A. E. 1990 . Tropical secondary forests . Journal of Tropical Ecology , 6 : 1 – 32 .
   Web of Science ®Google Scholar
• CASTRO-SALAZAR , R. and ARIAS-MURILLO , G. 1998 . Costa Rica: toward the sustainability of its forest resources , Technical Report Fonda Nacional de Financiamiento Foresta (FONAFIFO) San Jose , , Costa Rica
   Google Scholar
• CONWAY , J. 1997 . Evaluating ERS-1 SAR data for the discrimination of tropical forest from other tropical vegetation types in Papua New Guinea . International Journal of Remote Sensing , 18 : 2967 – 2984 .
   Web of Science ®Google Scholar
• CORLETT , R. 1994 . What is secondary forest? . Journal of Tropical Ecology , 10 : 445 – 447 .
   Web of Science ®Google Scholar
• CURRAN , P. J. , DUNGAN , J. L. and GHOLZ , H. I. 1992 . Seasonal LAI in slash pine estimated with Landsat TM . Remote Sensing of Environment , 39 : 3 – 13 .
   Web of Science ®Google Scholar
• DAMS , R. V. SAR image analysis for Costa Rican tropical forestry application . II simposio Latinamericano sobre sensores remotos . Bogota , Colombia .
   Google Scholar
• DANSON , F. M. and CURRAN , P. J. 1993 . Factors affecting the remotely sensed response of coniferous forest plantations . Remote Sensing of Environment , 43 : 55 – 65 .
   Web of Science ®Google Scholar
• DENSLOW , J. 1996 . “ Functional group diversity and responses to disturbance ” . In Biodiversity and Ecosystems Processes in Tropical Forest , Edited by: Orians , G. New York : Springer .
   Google Scholar
• DOBSON , M. C. , PIERCE , L. , SARABANDI , K. , ULABY , F. T. and SHARK , T. 1992a . Preliminary analysis of ERS-1 SAR for forest ecosystem studies . IEEE Transactions on Geoscience and Remote Sensing , 30 : 203 – 211 .
   Web of Science ®Google Scholar
• DOBSON , M. C. , ULABY , F. T. , LETOAN , T. , BEAUDOIN , A. , KASBCHKE , E. S. and CHRISTENSEN , N. 1992b . Dependence of radar backscatter on coniferous forest biomass . IEEE Transactions on Geoscience and Remote Sensing , 30 : 412 – 415 .
   Web of Science ®Google Scholar
• DOBSON , M. C. , ULABY , F. T. , PIERCE , L. E. , SHARIK , T. L. , BERGEN , K. M. , KELLNDORFER , J. , KENDRA , J. R. , LI , E. , LIN , Y. C. , NASHASHIBI , A. , SARABANDI , K. and SIQUEIRA , P. 1995 . Estimation of forest biophysical characteristics in northern Michigan with SIR-C/X-SAR . IEEE Transactions on Geoscience and Remote Sensing , 33 : 877 – 895 .
   Web of Science ®Google Scholar
• EWEL , J. J. 1977 . Differences between wet and dry successional tropical ecosystems . Geo-Eco-Trop , 1 : 103 – 117 .
   Google Scholar
• EWEL , J. 1980 . Tropical succession: manifold routes to maturity . Biotropica , 12 (supplement) : 1 – 95 .
   Google Scholar
• FAHSI , A. , TSEGAYE , T. , TADESSE , W. and COLEMAN , T. 2000 . Incorporation of digital elevation models with Landsat-TM data to improve land cover classification accuracy . Forest Ecology and Management , 128 : 57 – 64 .
   Web of Science ®Google Scholar
• FEARNSIDE , P. M. 1996 . Amazonian deforestation and global warming: carbon stocks in vegetation replacing Brazil's Amazon forest . Forest Ecology and Management , 80 : 21 – 34 .
   Web of Science ®Google Scholar
• FEARNSIDE , P. M. and GUIMARÃES , W. M. 1996 . Carbon uptake by secondary forests in Brazilian Amazonia . Forest Ecology and Management , 80 : 35 – 46 .
   Web of Science ®Google Scholar
• FINEGAN , B. 1996 . Pattern and process in neotropical secondary rain forests: the first 100 years of succession . Trends in Ecology and Evolution , 11 : 119 – 124 .
   PubMed Web of Science ®Google Scholar
• FOODY , G. M. and CURRAN , P. J. 1994 . Estimation of tropical forest extent and regenerative stage using remotely sensed data . Journal of Biogeography , 21 : 223 – 244 .
   Web of Science ®Google Scholar
• FOODY , G. M. , PALUBINSKAS , G. , LUCAS , R. M. , CURRAN , P. J. and HONZAK , M. 1996 . Identifying terrestrial carbon sinks: classification of successional stages in regenerating tropical forest from Landsat TM data . Remote Sensing of Environment , 55 : 205 – 216 .
   Web of Science ®Google Scholar
• FOODY , G. M. , GREEN , R. M. , LUCAS , R. M. , CURRAN , P. J. , HONZAK , M. and AMARAL , I. D. 1997 . Observations on the relationship between SIR-C radar backscatter and the biomass of regenerating tropical forests . International Journal of Remote Sensing , 18 : 687 – 694 .
   Web of Science ®Google Scholar
• FOODY , G. M. , CUTLER , M. E. , McMOROW , J. , DIETER , P. , TANGKI , H. , BOYD , D. S. and DOUGLAS , I. 2001 . Mapping the biomass of Bornean tropical rain forest from remotely sensed data . Global Ecology and Biogeography , 10 : 379 – 387 .
   Web of Science ®Google Scholar
• GUARIGUATA , M. R. , CHAZDON , R. L. , DENSLOW , J. S. , DUPUY , J. M. and ANDERSON , L. 1997 . Structure and floristics of secondary and old-growth forest stands in lowland Costa Rica . Plant Ecology , 132 : 107 – 120 .
   Web of Science ®Google Scholar
• GUIMARÃES , W. M. 1993 . “ Liberação de carbono e mudanas nos estoques dos nutrients contidos na biomassa aérea e no solo resultante de queimadas de florestas secundárias em areas de pastagens abandonadas, em Altamira, Pará ” . Manaus , AM : Institute National de Pesquisas da Amaznia/Fundação Universidade do Amazonas (INPA/FUA) . Masters Thesis,
   Google Scholar
• HARTSHORN , G. S. 1980 . Neotropical Forest Dynamics . Biotropica , 12 (supplement) : 23 – 30 .
   Web of Science ®Google Scholar
• HELMER , E. H. and BROWN , S. 2000 . “ Gradient analysis of biomass in Costa Rica and a first estimate of countrywide emissions of greenhouse gases from biomass burning ” . In Quantifying Sustainable Development: The future of tropical economies , Edited by: Hall , C. A. S. 503 – 526 . San Diego : Academic Press .
   Google Scholar
• HELMER , E. H. , BROWN , S. and COHEN , W. B. 2000 . Mapping montane tropical successional stage and land use with multi-date Landsat imagery . International Journal of Remote Sensing , 21 : 2163 – 2183 .
   Web of Science ®Google Scholar
• HOLDRIDGE , L. R. 1947 . Determination of world plant formations from simple climatic data . Science , 105 : 367 – 368 .
   PubMed Web of Science ®Google Scholar
• HOLDRIDGE , L. R. , GRENKE , W. C. , HATHEWAY , W. H. , LIANG , T. and TOSI , J. A. 1971 . Forest Environments in Tropical Life Zones: A pilot study , Oxford : Pergamon Press .
   Google Scholar
• HOUGHTON , R. A. , SKOLE , D. L. and LEFKOWITZ , D. S. 1991 . Changes in the landscape of Latin America between 1850 and 1985 II. Net release of CO2 to the atmosphere . Forest Ecology and Management , 38 : 173 – 199 .
   Web of Science ®Google Scholar
• Hsu , C. C. , SHIN , R. T. , KONG , J. A. , Le TOAN , T. and BEAUDOIN , A. Application of theoretical model for microwave remote sensing of forest . Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS '93) . August 18-21 1993 , Tokyo , Japan. pp. 595 – 597 . Piscataway , NJ : IEEE .
   Google Scholar
• HUGHES , R. F. , KAUFFMAN , J. B. and JARAMILLO , V. J. 1999 . Biomass, carbon, and nutrient dynamics of secondary forests in a humid tropical region of Mexico . Ecology , 80 : 1892 – 1907 .
   Web of Science ®Google Scholar
• HYYPPÄ , J. , HYYPPÄ , H. , INKTNEN , M. , ENGDAHL , M. , LINKO , S. and ZHU , Y. 2000 . Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes . Forest Ecology and Management , 128 : 109 – 120 .
   Web of Science ®Google Scholar
• IMHOFF , M. L. 1995a . A theoretical analysis of the effect of forest structure on Synthetic Aperture Radar backscatter and the remote sensing of biomass . IEEE Transactions on Geoscience and Remote Sensing , 33 : 341 – 352 .
   Web of Science ®Google Scholar
• IMHOFF , M. L. 1995b . Radar backscatter and biomass saturation: ramifications for global biomass inventory . IEEE Transactions on Geoscience and Remote Sensing , 33 : 511 – 518 .
   Web of Science ®Google Scholar
• COSTA RICA NATIONAL BIODIVERSITY INSTITUTE (INBIO) . 1999 . Annual memory Santo Domingo de Heredia , , Costa Rica Central America
   Google Scholar
• JANZEN , D. H. 1988 . “ Tropical dry forest: the most endangered major tropical ecosystem ” . In Biodiversity , Edited by: Wilson , E. O. 130 – 137 . Washington, DC : Natural Academy Press .
   Google Scholar
• JENSEN , J. R. 2000 . Remote Sensing of the Environment: An Earth Resource Perspective 2000 , Upper Saddle River , New Jersey : Prentice-Hall Inc. .
   Google Scholar
• JORDAN , C. F. and HERRERA , R. 1981 . Tropical rain forests: are nutrients really critical? . American Naturalist , 117 : 167 – 180 .
   Web of Science ®Google Scholar
• KARAM , M. A. , LEVINE , D. M. , AMAR , F. , FUNG , A. K. , MOUGIN , E. and LOPES , A. Understanding the relation between forest biomass and the radar backscatter signals . Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS '93) . August 18-21 1993 , Tokyo , Japan. pp. 573 – 575 . Piscataway , NJ : IEEE .
   Google Scholar
• KASISCHKE , E. S. , CHRISTENSEN , N. L. and BOURGEAU-CHAVEZ , L. 1995 . Correlating radar backscatter with components of biomass in loblolly pine forests . IEEE Transactions on Geoscience and Remote Sensing , 33 : 643 – 658 .
   Web of Science ®Google Scholar
• KASISCHKE , E. S. , MELACK , J. M. and DOBSON , M. C. 1997 . The use of imaging radars for ecological applications--a review . Remote Sensing of Environment , 59 : 141 – 156 .
   Web of Science ®Google Scholar
• KELLMAN , M. C. 1970 . Secondary plant succession in tropical montane Mindanao, Canberra, Australia , Australian National University, Department Biogeogr. Geomorph. . Publication BG/2
   Google Scholar
• KENOYER , L. A. 1929 . General and successional ecology of the lower tropical rain-forest at Barro Colorado Island, Panama . Ecology , 10 : 201 – 221 .
   Google Scholar
• KIMES , D. S. , NELSON , R. F. , SKOLE , D. L. and SALAS , W. A. 1998 . Accuracies in mapping secondary tropical forest age from sequential satellite imagery . Remote Sensing of Environment , 65 : 112 – 120 .
   Web of Science ®Google Scholar
• KIMES , D. S. , NELSON , R. F. , SALAS , W. A. and SOLES , D.K. 1999 . Mapping secondary tropical forest age from SPOT HRV data . International Journal of Remote Sensing , 20 : 3625 – 3640 .
   Web of Science ®Google Scholar
• KRICHER , J. C. 1989 . A Neotropical Companion , Princeton , New Jersey : Princeton University Press .
   Google Scholar
• KUNTZ , S. and SIEGERT , F. 1999 . Monitoring of deforestation and land use in Indonesia with multitemporal ERS data . International Journal of Remote Sensing , 20 : 2835 – 2853 .
   Web of Science ®Google Scholar
• KUPLICH , T. M. , SALVATORI , V. and CURRAN , P. J. 2000 . JERS-1/SAR backscatter and its relationship with biomass of regenerating forests . International Journal of Remote Sensing , 21 : 2513 – 2518 .
   Web of Science ®Google Scholar
• Kux , H. J. H. , Dos SANTOS , J. R. , AHERN , F. J. , PIETSCH , R. W. and LACRUZ , M. S. P. 1998 . Evaluation of Radarsat for land use and land cover dynamics in the Southwestern Brazilian Amazon State of Acre . Canadian Journal of Remote Sensing , 24 : 350 – 359 .
   Google Scholar
• LANG , R. H. , CHAUHAN , N. S. , RANSON , K. J. and KILIC , O. 1994 . Modeling P-band SAR returns from a red pine stand . Remote Sensing of Environment , 47 : 132 – 141 .
   Web of Science ®Google Scholar
• LECKIE , D. G. and RANSON , K. J. 1998 . “ Forestry applications using imaging radar ” . In Principles and Applications of Imaging Radar. Manual of Remote Sensing, , Third Edition , Edited by: Henderson , F. M. and Lewis , A. J. Volume 2 , 457 – 508 . New York : John Wiley & Sons .
   Google Scholar
• LE TOAN , T. , BEAUDOIN , A. , RIOM , J. and GUYON , D. 1992 . Relating forest biomass to SAR data . IEEE Transactions on Geoscience and Remote Sensing , 30 : 403 – 411 .
   Web of Science ®Google Scholar
• LEWIS , A. J. , HENDERSON , F. M. and HOLCOMB , D. W. 1998 . “ Radar fundamentals: the GeoScience perspective ” . In Principles and Applications of Imaging Radar. Manual of Remote Sensing, , Third Edition , Edited by: Henderson , F. M. and Lewis , A. J. Volume 2 , 131 – 181 . New York : John Wiley & Sons .
   Google Scholar
• LUCAS , R. M. , HONZAK , M. , FOODY , G. M. , CURRAN , P. J. and CORVES , C. 1993 . Characterizing tropical secondary forests using multi-temporal Landsat sensor imagery . International Journal of Sensing , 14 : 3061 – 3067 .
   Web of Science ®Google Scholar
• LUCAS , R. M. , HONZÁK , M. , CURRAN , P. J. , FOODY , G. M. , MILNE , R. , BROWN , T. and AMARAL , S. 2000a . Mapping the regional extent of tropical forest regeneration stages in the Brazilian Legal Amazon using NOAA AVHRR data . International Journal of Remote Sensing , 21 : 2855 – 2881 .
   Web of Science ®Google Scholar
• LUCAS , R. M. , HONZÁK , M. , CURRAN , P. J. , FOODY , G. M. and NGUELE , D. T. 2000b . Characterizing tropical forest regeneration in Cameroon using NOAA AVHRR data . International Journal of Remote Sensing , 21 : 2831 – 2854 .
   Web of Science ®Google Scholar
• LUCKMAN , A. J. , BAKER , J. , KUPLICH , T. M. , YANASSE , C. C. F. and FRERY , A. C. 1997a . A study of the relationship between radar backscatter and regenerating tropical forest biomass for spaceborne SAR instruments . Remote Sensing of Environment , 60 : 1 – 13 .
   Web of Science ®Google Scholar
• LUCKMAN , A. J. , FRERY , A. C. , YANASSE , C. C. F. and GROOM , G. B. 1997b . Texture in airborne SAR imagery of tropical forest and its relationship to forest regeneration stage . International Journal of Remote Sensing , 18 : 1333 – 1349 .
   Web of Science ®Google Scholar
• LUCKMAN , A. , BAKER , J. , HONZAK , M. and LUCAS , R. 1998 . Tropical forest biomass density estimation using JERS-1 SAR: seasonal variation, confidence limits, and application to image mosaics . Remote Sensing of Environment , 63 : 126 – 139 .
   Web of Science ®Google Scholar
• MAUSEL , P. , Wu , Y. , LI , Y. , MORAN , E. F. and BRONDIZIO , E. S. 1993 . Spectral identification of succesional stages following deforestation in the Amazon . Geocarto International , 4 : 61 – 71 .
   Google Scholar
• MONTGOMERY , R. A. and CHAZDON , R. L. 2001 . Forest structure, canopy architecture, and light transmittance in tropical wet forests . Ecology , 82 : 2707 – 2718 .
   Web of Science ®Google Scholar
• MORAN , E. F. , BRONDIZIO , E. , MAUSEL , P. and Wu , Y. 1994 . Integrating Amazonian vegetation, land-use, and satellite data: attention to differential patterns and rates of secondary succession can inform future policies . BioScience , 44 : 329 – 338 .
   Web of Science ®Google Scholar
• MUCHONEY , D. , BORAK , J. , CHI , H. , FRIEDL , M. , GOPAL , S. , HODGES , J. , MORROW , N. and STRAHLER , A. 2000 . Application of the MODIS global supervised classification model to vegetation and land cover mapping of Central America . International Journal of Remote Sensing , 21 : 1115 – 1138 .
   Web of Science ®Google Scholar
• NELSON , B. W. , MESQUTTA , R. , PEREIRA , J. L. G. , AQUINO DE SOUZA , S. G. , BATISTA , G. T. and COUTO , L. B. 1999 . Allometric regressions for improved estimate of secondary forest biomass in the central Amazon . Forest Ecology and Management , 117 : 149 – 167 .
   Web of Science ®Google Scholar
• NELSON , R. F. , KIMES , D. S. , SALAS , W. A. and ROUTHIER , M. 2000 . Secondary forest age and tropical forest biomass estimation using Thematic Mapper imagery . BioScience , 50 : 419 – 437 .
   Web of Science ®Google Scholar
• NEZRY , E. , MOUGIN , E. , LOFES , A. and GASTELLU-ETCHEGORRY , J. P. 1993 . Tropical vegetation mapping with combined visible and SAR spaceborne data . International Journal of Remote Sensing , 14 : 2165 – 2184 .
   Web of Science ®Google Scholar
• OLDEMAN , R. A. A. and VAN DIJK , J. 1991 . “ Diagnosis of the temperament of tropical rain forest trees ” . In Rain Forest Regeneration and Management , Edited by: Gomez-Pompa , A. , Whitmore , T. C. and Hadley , M. vol. 6 , 21 – 65 . New Jersey : The Parthenon Publishing Group Ltd. .
   Google Scholar
• OPLER , P. A. , BAKER , H. G. and FRANK , G. W. 1977 . “ Recovery of tropical lowland forest ecosystems ” . In Recovery and Restoration of Damaged Ecosystems , Edited by: Cairns , J. Jr. , Dickson , K. L. and Herricks , E. E. 379 – 421 . Charlottesville , VA : University Press of Virginia .
   Google Scholar
• OUAIDRARI , H. , IMBERNON , J. and DEDIEU , G. 1994 . Use of a meteorological model to correct atmospheric effects in NOAA-AVHRR data . International Journal of Remote Sensing , 15 : 2257 – 2271 .
   Web of Science ®Google Scholar
• PETERSON , D. L. , SPANNER , M. A. , RUNNING , R. W. and TEUBER , K. B. 1987 . Relationship of Thematic Mapper Simulator data to leaf area index of temperate coniferous forests . Remote Sensing of Environment , 22 : 323 – 341 .
   Web of Science ®Google Scholar
• RANSON , K. J. and SUN , G. 1994 . Mapping biomass of a northern forest using multifrequency SAR data . IEEE Transactions on Geoscience and Remote Sensing , 32 : 388 – 396 .
   Web of Science ®Google Scholar
• RANSON , K. J. , SAATCHI , S. and SUN , G. 1995 . Boreal forest ecosystem characterization with SIR-C/XSAR . IEEE Transactions on Geoscience and Remote Sensing , 33 : 867 – 876 .
   Web of Science ®Google Scholar
• RAUSTE , Y. , HAME , T. , PULLIAINEN , J. , HEISKA , K. and HALLIKAINEN , M. 1994 . Radar-based forest biomass estimation . International Journal of Remote Sensing , 15 : 2797 – 2808 .
   Web of Science ®Google Scholar
• RICHARDS , J. A. , SUN , G. and SIMONNET , D. S. 1987 . L-band radar backscatter modeling forest stands . IEEE Transactions on Geoscience and Remote Sensing , 25 : 487 – 498 .
   Web of Science ®Google Scholar
• RIGNOT , E. J. , ZIMMERMANN , R. and VAN ZYL , J. 1995 . Spaceborne applications of P band imaging radars for measuring forest biomass . IEEE Transactions on Geoscience and Remote Sensing , 33 : 1162 – 1169 .
   Web of Science ®Google Scholar
• RIGNOT , E. , SALAS , W. A. and SKOLE , D. L. 1997 . Mapping deforestation and secondary growth in Rondonia, Brazil, using imaging radar and Thematic Mapper data . Remote Sensing of Environment , 59 : 167 – 179 .
   Web of Science ®Google Scholar
• ROSENQVIST , Å. 1996 . Evaluation of JERS-1, ERS-1 and Almaz SAR backscatter for rubber and oil palm stands in West Malaysia . International Journal of Remote Sensing , 17 : 3219 – 3231 .
   Web of Science ®Google Scholar
• SAATCHI , S. S. , SOARES , J. V. and ALVES , D. S. 1997 . Mapping deforestation and land use in Amazon rainforest by using SIR-C imagery . Remote Sensing of Environment , 59 : 191 – 202 .
   Web of Science ®Google Scholar
• SADER , S. A. 1986 . Analysis of effective radiant temperatures in a Pacific northwest forest using thermal infrared multi-spectral scanner data . Remote Sensing of Environment , 19 : 105 – 115 .
   Web of Science ®Google Scholar
• SADER , S. A. 1987 . Airborne remote sensing of forest biomes . Geocarto International , 1 : 9 – 17 .
   Google Scholar
• SADER , S. A. , WAIDE , R. B. , LAWRENCE , W. T. and JOYCE , A. T. 1989 . Tropical forest biomass and successional age class relationships to a vegetation index derived from Landsat TM data . Remote Sensing of Environment , 28 : 143 – 156 .
   Web of Science ®Google Scholar
• SADER , S. A. , STONE , T. A. and JOYCE , A. T. 1990 . Remote sensing of tropical forests: an overview of research and applications using non-photographic sensors . Photogrammetric Engineering and Remote Sensing , 56 : 1343 – 1351 .
   Web of Science ®Google Scholar
• SANCHEZ-AZOFEIFA , G. A. and RIVARD , B. 2001 . “ Advancing frontiers in tropical biology: the future of remote sensing research in tropical environments ” . In Tropical Ecosystems: Structure, Diversity and Human Welfare , Edited by: Ganeshaiah , K. N. , Shaanker , R. U. and Bawa , K. S. 143 – 144 . New Delhi : Oxford & IBH Publishing Co. Pvt. Ltd .
   Google Scholar
• SHIMABUKURO , Y. E. , AMARAL , S. , AHERN , F. J. and PIETSCH , R. W. 1998 . Land cover classification from Radarsat data of the Tapajos National Forest, Brazil . Canadian Journal of Remote Sensing , 24 : 393 – 401 .
   Google Scholar
• SOHN , Y. , MORAN , E. and GURRI , F. 1999 . Deforestation in North-Central Yucatan (1985-1995): mapping secondary succession of forest and agricultural land use in Sotuta using the cosine of the angle concept . Programmetric Engineering and Remote Sensing , 65 : 947 – 958 .
   Web of Science ®Google Scholar
• STEININGER , M. K. 1996 . Tropical secondary forest regrowth in the Amazon: age, area and change estimation with Thematic Mapper data . International Journal of Remote Sensing , 17 : 9 – 27 .
   Web of Science ®Google Scholar
• STEININGER , M. K. 2000 . Satellite estimation of tropical secondary forest above-ground biomass: data from Brazil and Bolivia . International Journal of Remote Sensing , 21 : 1139 – 1157 .
   Web of Science ®Google Scholar
• SUN , G. , SIMONNET , D. S. and STRAHLER , A. H. 1991 . A radar backscatter model for discontinuous coniferous forests . IEEE Transactions on Geoscience and Remote Sensing , 29 : 639 – 650 .
   Web of Science ®Google Scholar
• THENKABAIL , P. S. 1999 . Characterization of the alternative to slash-and-burn benchmark research area representing the Congolese rainforests of Africa using near-real-time SPOT HRV data . International Journal of Remote Sensing , 20 : 839 – 877 .
   Web of Science ®Google Scholar
• THOMPSON , M. D. and DAMS , R. V. Forest and land cover mapping from SAR: a summary of recent tropical studies . Proceedings of the Twenty-third International Symposium on Remote Sensing of Environment . April 18-25 1990 , Bangkok . pp. 509 – 516 . ERIM .
   Google Scholar
• THOMPSON , M. D. , MACDONALD , B. C. and JEFFRIES , W. C. 1993 . Progress in forest mapping using airborne radar in tropical regions . ITC Journal , 4 : 347 – 354 .
   Google Scholar
• TOUTIN , T. and AMARAL , S. 2000 . Stereo Radarsat data for canopy height in Brazilian Forests . Canadian Journal of Remote Sensing , 26 : 189 – 199 .
   Google Scholar
• TUCKER , C. J. 1977 . Asymptotic nature of grass canopy reflectance . Applied Optics , 16 : 1151 – 1157 .
   PubMed Web of Science ®Google Scholar
• TUCKER , J. M. , BRONDIZIO , E. S. and MORÁN , E. F. 1998 . Rates of forest regrowth in Eastern Amazonia: a comparison of Altamira and Bragantina regions, Para State, Brazil . Interciencia , 23 : 64 – 73 .
   Web of Science ®Google Scholar
• UHL , C. , BUSCHBACHER , R. and SERRAO , E. A. S. 1988 . Abandoned pastures in Eastern Amazonia. I. Patterns of plant succession . Journal of Ecology , 76 : 663 – 681 .
   Web of Science ®Google Scholar
• VAN DER SANDEN , J. J. 1997 . Radar Remote Sensing to Support Tropical Forest Management , Tropenbos-Guyana Series 5 Wageningen : Wageningen Agricultural University .
   Google Scholar
• VAN DER SANDEN , J. J. and HOEKMAN , D. H. 1999 . Potential of airborne radar to support the assessment of land cover in a tropical rain forest environment . Remote Sensing of Environment , 68 : 26 – 40 .
   Web of Science ®Google Scholar
• VERHOEYE , J. and DE WULF , R. 1999 . An image processing chain for land-cover classification using multitemporal ERS-1 data . Programmetric Engineering and Remote Sensing , 65 : 1179 – 1186 .
   Web of Science ®Google Scholar
• YANASSE , C. C. F. , SANT'ANNA , S. J. S. , FRERY , A. C. , RENNÓ , C. D. , SOARES , J. V. and LUCKMAN , A. J. 1997 . Exploratory study of the relationship between tropical forest regeneration stages and SIR-C L and C data . Remote Sensing of Environment , 59 : 180 – 190 .
   Web of Science ®Google Scholar