Satellite remote sensing of forest resources: three decades of research development

Three decades have passed since the launch of the first international satellite sensor programme designed for monitoring Earth’s resources. Over this period, forest resources have come under increasing pressure, thus their management and use should be underpinned by information on their properties at a number of levels. This paper provides a comprehensive review of how satellite remote sensing has been used in forest resource assessment since the launch of the first Earth resources satellite sensor (ERTS) in 1972. The use of remote sensing in forest resource assessment provides three levels of information; namely (1) the spatial extent of forest cover, which can be used to assess the spatial dynamics of forest cover; (2) forest type and (3) biophysical and biochemical properties of forests. The assessment of forest information over time enables the comprehensive monitoring of forest resources. This paper provides a comprehensive review of how satellite remote sensing has been used to date and, building on these experiences, the future potential of satellite remote sensing of forest resources is highlighted.

[1]  Mary E. Martin,et al.  Determining Forest Species Composition Using High Spectral Resolution Remote Sensing Data , 1998 .

[2]  Paul J. Curran,et al.  Factors affecting the remotely sensed response of coniferous forest plantations , 1993 .

[3]  Doreen S. Boyd,et al.  Using remote sensing to reduce uncertainties in the global carbon budget: The potential of radiation acquired in middle infrared wavelengths , 1998 .

[4]  Frédéric Achard,et al.  Tropical forest mapping from coarse spatial resolution satellite data: Production and accuracy assessment issues , 2001 .

[5]  N. Myers The world's forests: problems and potentials , 1996, Environmental Conservation.

[6]  Henry L. Gholz,et al.  Environmental Limits on Aboveground Net Primary Production, Leaf Area, and Biomass in Vegetation Zones of the Pacific Northwest , 1982 .

[7]  John F. Muratore,et al.  Nitrogen and Lignin Control of Hardwood Leaf Litter Decomposition Dynamics , 1982 .

[8]  R. Houghton,et al.  Changes in terrestrial carbon storage in the United States. 2: The role of fire and fire management , 2000 .

[9]  D. H. Card,et al.  Remote sensing of forest canopy and leaf biochemical contents , 1988 .

[10]  Alejandro C. Frery,et al.  Exploratory study of the relationship between tropical forest regeneration stages and SIR-C L and C data , 1997 .

[11]  Ruth S. DeFries,et al.  Global continuous fields of vegetation characteristics: A linear mixture model applied to multi-year 8 km AVHRR data , 2000 .

[12]  F. Achard,et al.  Analysis of vegetation seasonal evolution and mapping of forest cover in West Africa with the use of NOAA AVHRR HRPT data. , 1990 .

[13]  Alan H. Strahler,et al.  A hybrid geometric optical-radiative transfer approach for modeling albedo and directional reflectance of discontinuous canopies , 1995, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Michael A. Wulder,et al.  Optical remote-sensing techniques for the assessment of forest inventory and biophysical parameters , 1998 .

[15]  S. Running,et al.  The Earth Observing System and Forest Management , 2000 .

[16]  Conghe Song,et al.  The spatial manifestation of forest succession in optical imagery: The potential of multiresolution imagery , 2002 .

[17]  C. Tucker,et al.  Tropical Deforestation and Habitat Fragmentation in the Amazon: Satellite Data from 1978 to 1988 , 1993, Science.

[18]  R. Lucas,et al.  Characterizing tropical secondary forests using multi-temporal Landsat sensor imagery , 1993 .

[19]  Shaun Quegan,et al.  Quantitative estimation of tropical forest cover by SAR , 1999, IEEE Trans. Geosci. Remote. Sens..

[20]  John R. Miller,et al.  Correlating leaf area index of Ponderosa pine with hyperspectral casi data , 1992 .

[21]  C. Justice,et al.  Selecting the spatial resolution of satellite sensors required for global monitoring of land transformations , 1988 .

[22]  Daniel N. M. Donoghue,et al.  Remote sensing of upland conifer plantations using Landsat TM data: A case study from Galloway, south-west Scotland , 2000 .

[23]  Hanna Tuomisto,et al.  Use of digitally processed satellite images in studies of tropical rain forest vegetation , 1994 .

[24]  Tiit Nilson,et al.  Age dependence of forest reflectance: Analysis of main driving factors , 1994 .

[25]  Eduardo S Brondízio,et al.  Land cover in the Amazon estuary: linking of the thematic mapper with botanical and historical data , 1996 .

[26]  H. Eva,et al.  Remote Sensing of Biomass Burning in Tropical Regions: Sampling Issues and Multisensor Approach , 1998 .

[27]  Malingreau Jean-paul,et al.  Large-Scale Deforestation in the Southeastern Basin of Brazil , 1988 .

[28]  S. Running,et al.  Relationship of thematic mapper simulator data to leaf area index , 1987 .

[29]  S. Roberts,et al.  Influence of Fusing Lidar and Multispectral Imagery on Remotely Sensed Estimates of Stand Density and Mean Tree Height in a Managed Loblolly Pine Plantation , 2003, Forest Science.

[30]  C. Woodcock,et al.  Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects? , 2001 .

[31]  P. N. Churchill,et al.  The Current Status of ERS-1 and the Role of Radar Remote Sensing for the Management of Natural Resources in Developing Countries , 1991 .

[32]  Diógenes Salas Alves,et al.  Characterizing land cover dynamics using multi-temporal imagery , 1996 .

[33]  Hans-Jürgen Stibig,et al.  New possibilities of regional assessment of tropical forest cover in insular Southeast Asia using SPOT-VEGETATION satellite image mosaics , 2001 .

[34]  S. Franklin,et al.  Texture analysis of IKONOS panchromatic data for Douglas-fir forest age class separability in British Columbia , 2001 .

[35]  B. Holben,et al.  Linear mixing model applied to coarse spatial resolution data from multispectral satellite sensors , 1993 .

[36]  Paul J. Curran,et al.  JERS-1/SAR backscatter and its relationship with biomass of regenerating forests , 2000 .

[37]  David L. Peterson,et al.  Foliar analysis using near infrared reflectance spectroscopy , 1988 .

[38]  G. B. Groom,et al.  The integration of field survey and remote sensing for biodiversity assessment: a case study in the tropical forests and wetlands of Sango Bay, Uganda , 1998 .

[39]  Steven W. Running,et al.  Remote sensing of temperate coniferous forest leaf area index The influence of canopy closure, understory vegetation and background reflectance , 1990 .

[40]  M. Butera,et al.  A Correlation and Regression Analysis of Percent Canopy Closure Versus TMS Spectral Response for Selected Forest Sites in the San Juan National Forest, Colorado , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[41]  Giles M. Foody,et al.  An assessment of radiance in Landsat TM middle and thermal infrared wavebands for the detection of tropical forest regeneration , 1996 .

[42]  José M. C. Pereira,et al.  An algorithm for mapping burnt areas in Australia using SPOT-VEGETATION data , 2003, IEEE Trans. Geosci. Remote. Sens..

[43]  Adrian Luckman,et al.  A study of the relationship between radar backscatter and regenerating tropical forest biomass for spaceborne SAR instruments , 1997 .

[44]  C. Justice,et al.  Effect of wavelength selection on characterization of fire size and temperature , 2003 .

[45]  Giles M. Foody,et al.  Mapping tropical forest fractional cover from coarse spatial resolution remote sensing imagery , 1997, Plant Ecology.

[46]  Henry L. Gholz,et al.  Simulation of the carbon dynamics of a Florida slash pine plantation , 1993 .

[47]  S. Sudhakar,et al.  Forest cover mapping of West Bengal with special reference to North Bengal using IRS-1B satellite LISS II data , 1996 .

[48]  J. Fransson Estimation of stem volume in boreal forests using ERS-1 C- and JERS-1 L-band SAR data , 1999 .

[49]  S. M. Jong,et al.  Above‐ground biomass assessment of Mediterranean forests using airborne imaging spectrometry: the DAIS Peyne experiment , 2003 .

[50]  Fraser Gemmell,et al.  Estimating forest cover in a boreal forest test site using thematic mapper data from two dates , 2001 .

[51]  F. M. Danson,et al.  Preliminary evaluation of the relationships between SPOT-1 HRV data and forest stand parameters , 1987 .

[52]  Eric F. Lambin,et al.  Fires and land‐cover change in the tropics:a remote sensing analysis at the landscape scale , 2000 .

[53]  Brent N. Holben,et al.  Intensive forest clearing in Rondonia, Brazil, as detected by satellite remote sensing , 1984 .

[54]  François Houllier,et al.  Retrieval biomass of a large Venezuelan pine plantation using JERS-1 SAR data. Analysis of forest structure impact on radar signature , 2002 .

[55]  D. Fuller Satellite remote sensing of biomass burning with optical and thermal sensors , 2000 .

[56]  Alan Grainger,et al.  Rates of deforestation in the humid tropics: estimates and measurements , 1993 .

[57]  Jennifer L. Dungan,et al.  Forest ecosystem processes at the watershed scale: basis for distributed simulation , 1991 .

[58]  Giles M. Foody,et al.  Observations on the relationship between SIR-C radar backscatter and the biomass of regenerating tropical forests , 1997 .

[59]  Richard G. Oderwald,et al.  Spectral Separability among Six Southern Tree Species , 2000 .

[60]  Karl Fred Huemmrich,et al.  Remote Sensing of Forest Biophysical Structure Using Mixture Decomposition and Geometric Reflectance Models , 1995 .

[61]  C. Kleinn,et al.  Forest Area in Costa Rica: A Comparative Study of Tropical Forest Cover Estimates over Time , 2002, Environmental monitoring and assessment.

[62]  Guoqing Sun,et al.  Effects of environmental conditions on boreal forest classification and biomass estimates with SAR , 2000, IEEE Trans. Geosci. Remote. Sens..

[63]  Giles M. Foody,et al.  Mapping the biomass of Bornean tropical rain forest from remotely sensed data , 2001 .

[64]  S. Jaakkola Managing data for the monitoring of tropical forest cover: the global resource information database approach. , 1990 .

[65]  F. Achard,et al.  A new approach for tropical forest area monitoring using multiple spatial resolution satellite sensor imagery , 1997 .

[66]  E. Lambin Monitoring forest degradation in tropical regions by remote sensing: some methodological issues , 1999 .

[67]  Peter R. J. North,et al.  Forest ecosystem chlorophyll content: Implications for remotely sensed estimates of net primary productivity , 2003 .

[68]  Christopher O. Justice,et al.  Towards operational monitoring of terrestrial systems by moderate-resolution remote sensing , 2002 .

[69]  Richard H. Waring,et al.  Overview of the Oregon Transect Ecosystem Research Project , 1994 .

[70]  Frédérique Seyler,et al.  TEXTURE ANALYSIS OF TROPICAL RAIN FOREST INFRARED SATELLITE IMAGES , 1997 .

[71]  C. Estreguil,et al.  AVHRR for global tropical forest monitoring: The lessons of the TREES project , 1995 .

[72]  Ruth S. DeFries,et al.  Subpixel forest cover in central Africa from multisensor, multitemporal data , 1997 .

[73]  Zhiliang Zhu,et al.  Global Forest Cover Mapping for the United Nations Food and Agriculture Organization Forest Resources Assessment 2000 Program , 2003 .

[74]  Santiago Saura,et al.  Forest cover mapping in Central Spain with IRS-WIFS images and multi-extent textual-contextual measures , 2002 .

[75]  S. T. Gower,et al.  Leaf area index of boreal forests: theory, techniques, and measurements , 1997 .

[76]  David L. Peterson,et al.  Multivariate analysis of AVIRIS data for canopy biochemical estimation along the oregon transect , 1994 .

[77]  F. Gemmell,et al.  Effects of forest cover, terrain, and scale on timber volume estimation with Thematic Mapper data in a rocky mountain site , 1995 .

[78]  C. Hutchinson,et al.  Assessing deforestation in the Guinea Highlands of West Africa using remote sensing , 1990 .

[79]  Intermediate multispectral satellite sensors. , 2000 .

[80]  L. Johnson,et al.  Spectrometric Estimation of Total Nitrogen Concentration in Douglas-Fir Foliage , 1996 .

[81]  Guoqing Sun,et al.  Northern forest classification using temporal multifrequency and multipolarimetric SAR images , 1994 .

[82]  F. Achard,et al.  Determination of Deforestation Rates of the World's Humid Tropical Forests , 2002, Science.

[83]  C. Uhl FACTORS CONTROLLING SUCCESSION FOLLOWING SLASH-AND-BURN AGRICULTURE IN AMAZONIA , 1987 .

[84]  Paul J. Curran,et al.  Remote sensing the biochemical composition of a slash pine canopy , 1997, IEEE Trans. Geosci. Remote. Sens..

[85]  W. R. Paradella,et al.  A geobotanical approach to the tropical rain forest environment of the Carajás Mineral Province (Amazon Region, Brazil), based on digital TM-Landsat and DEM data , 1994 .

[86]  J. Means Use of Large-Footprint Scanning Airborne Lidar To Estimate Forest Stand Characteristics in the Western Cascades of Oregon , 1999 .

[87]  P. Barbosa,et al.  An Algorithm for Extracting Burned Areas from Time Series of AVHRR GAC Data Applied at a Continental Scale , 1999 .

[88]  Doreen S. Boyd,et al.  Use of middle infrared radiation to estimate the leaf area index of a boreal forest. , 2000, Tree physiology.

[89]  Giles M. Foody,et al.  Status of land cover classification accuracy assessment , 2002 .

[90]  G. Green,et al.  Deforestation History of the Eastern Rain Forests of Madagascar from Satellite Images , 1990, Science.

[91]  Peter R. J. North,et al.  The Propagation of Foliar Biochemical Absorption Features in Forest Canopy Reflectance , 1999 .

[92]  Pietro Ceccato,et al.  Indonesian fires observed using AVHRR , 1998 .

[93]  Marc L. Imhoff,et al.  A theoretical analysis of the effect of forest structure on synthetic aperture radar backscatter and the remote sensing of biomass , 1995, IEEE Transactions on Geoscience and Remote Sensing.

[94]  P. Curran Multispectral remote sensing of vegetation amount , 1980 .

[95]  John R. Jensen,et al.  Predictive modelling of coniferous forest age using statistical and artificial neural network approaches applied to remote sensor data , 1999 .

[96]  Florian Siegert,et al.  Monitoring of deforestation and land use in Indonesia with multitemporal ERS data , 1999 .

[97]  Osvaldo M. R. Cabral,et al.  Leaf area index and above-ground biomass of terra firme rain forest and adjacent clearings in Amazonia , 1993 .

[98]  Eric Rignot,et al.  Classification of boreal forest cover types using SAR images , 1997 .

[99]  Gianfranco De Grandi,et al.  Central African Forest Cover Revisited: A Multisatellite Analysis , 2000 .

[100]  Soo Chin Liew,et al.  Delineating land/forest fire burnt scars with ERS Interferometric Synthetic Aperture Radar , 1999 .

[101]  D. Quattrochi,et al.  Thermal infrared remote sensing for analysis of landscape ecological processes: methods and applications , 1999, Landscape Ecology.

[102]  Guoqing Sun,et al.  Mapping of boreal forest biomass from spaceborne synthetic aperture radar , 1997 .

[103]  Jennifer L. Dungan,et al.  Seasonal LAI in slash pine estimated with landsat TM , 1992 .

[104]  B. Koch,et al.  Forest biodiversity and its assessment by remote sensing , 1998 .

[105]  Sandra A. Brown Measuring, monitoring, and verification of carbon benefits for forest–based projects , 2002, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[106]  Dirk H. Hoekman,et al.  Land cover type and biomass classification using AirSAR data for evaluation of monitoring scenarios in the Colombian Amazon , 2000, IEEE Trans. Geosci. Remote. Sens..

[107]  Ranga B. Myneni,et al.  Correction to “Interannual variations in satellite‐sensed vegetation index data from 1981 to 1991” by R. B. Myneni et al. , 1998 .

[108]  Charles Elachi,et al.  Spaceborne Radar Remote Sensing: Applications and Techniques , 1987 .

[109]  R. Houghton Terrestrial sources and sinks of carbon inferred from terrestrial data , 1996 .

[110]  Eric F. Lambin,et al.  Estimation of tropical forest area from coarse spatial resolution data: A two-step correction function for proportional errors due to spatial aggregation , 1995 .

[111]  Mary E. Martin,et al.  HIGH SPECTRAL RESOLUTION REMOTE SENSING OF FOREST CANOPY LIGNIN, NITROGEN, AND ECOSYSTEM PROCESSES , 1997 .

[112]  W. Salas,et al.  Accuracies in Mapping Secondary Tropical Forest Age from Sequential Satellite Imagery , 1998 .

[113]  Ramakrishna R. Nemani,et al.  Mapping regional forest evapotranspiration and photosynthesis by coupling satellite data with ecosystem simulation , 1989 .

[114]  G. B. Groom,et al.  Relationships between physical characteristics and polarimetric radar backscatter for Corsican pine stands in Thetford Forest, U.K. , 1994 .

[115]  J. Saldarriaga,et al.  LONG-TERM CHRONOSEQUENCE OF FOREST SUCCESSION IN THE UPPER RIO NEGRO OF COLOMBIA AND VENEZUELA , 1988 .

[116]  Michael A. Wulder,et al.  Remote sensing methods in medium spatial resolution satellite data land cover classification of large areas , 2002 .

[117]  S. Saatchi,et al.  The Global Rain Forest Mapping project - A review , 2000 .

[118]  D. Peddle,et al.  Multi-Source Image Classification II: An Empirical Comparison of Evidential Reasoning and Neural Network Approaches , 1994 .

[119]  P. G. Diwakar,et al.  Tropical forest typo mapping and monitoring using remote sensing , 1991 .

[120]  J. Linders Comparison of three different methods to select feature for discriminating forest cover types using SAR imagery , 2000 .

[121]  R. Lucas,et al.  Identifying terrestrial carbon sinks: Classification of successional stages in regenerating tropical forest from Landsat TM data , 1996 .

[122]  Jonas Ardö,et al.  Neural networks, multitemporal Landsat Thematic Mapper data and topographic data to classify forest , 1997 .

[123]  S. Sader,et al.  Remote sensing of tropical forests : an overview of research and applications using non-photographic sensors , 1990 .

[124]  Giles M. Foody,et al.  The relationship between the biomass of Cameroonian tropical forests and radiation reflected in middle infrared wavelengths (3.0-5.0 mu m) , 1999 .

[125]  M. Honzak,et al.  Tropical Forest Biomass Density Estimation Using JERS-1 SAR: Seasonal Variation, Confidence Limits, and Application to Image Mosaics , 1998 .

[126]  F. Bertolo,et al.  Mapping sub-pixel forest cover in Europe using AVHRR data and national and regional statistics , 2002 .

[127]  A. Cracknell Review article Synergy in remote sensing-what's in a pixel? , 1998 .

[128]  Benoît Duchemin,et al.  Monitoring Phenological Key Stages and Cycle Duration of Temperate Deciduous Forest Ecosystems with NOAA/AVHRR Data , 1999 .

[129]  Simonetta Paloscia,et al.  The potential of C- and L-band SAR in estimating vegetation biomass: the ERS-1 and JERS-1 experiments , 1999, IEEE Trans. Geosci. Remote. Sens..

[130]  J. Conway,et al.  Evaluating ERS-1 SAR data for the discrimination of tropical forest from other tropical vegetation types in Papua New Guinea , 1997 .

[131]  Danielle J. Marceau,et al.  Remote sensing and the measurement of geographical entities in a forested environment. 1. The scale and spatial aggregation problem , 1994 .

[132]  F. Gemmell,et al.  View Zenith Angle Effects on the Forest Information Content of Three Spectral Indices , 2000 .

[133]  Robert B. Waide,et al.  Tropical forest biomass and successional age class relationships to a vegetation index derived from Landsat TM data , 1989 .

[134]  Robert H. Fraser,et al.  Automatic Detection of Fire Smoke Using Artificial Neural Networks and Threshold Approaches Applied to AVHRR Imagery , 2001 .

[136]  Chris Varekamp,et al.  High-resolution InSAR image simulation for forest canopies , 2002, IEEE Trans. Geosci. Remote. Sens..

[137]  V. Judson Harward,et al.  Mapping forest vegetation using landsat TM imagery and a canopy reflectance model , 1994 .

[138]  Ruiliang Pu,et al.  Seasonal Patterns and Remote Spectral Estimation of Canopy Chemistry Across the Oregon Transect , 1994 .

[139]  Alexander F. H. Goetz,et al.  Terrestrial imaging spectrometry - Current status, future trends , 1993 .

[140]  Ruiliang Pu,et al.  Extraction of red edge optical parameters from Hyperion data for estimation of forest leaf area index , 2003, IEEE Trans. Geosci. Remote. Sens..

[141]  Richard K. Moore,et al.  Radar remote sensing and surface scattering and emission theory , 1986 .

[142]  M. Sgrenzaroli,et al.  Tropical forest cover monitoring: Estimates from the GRFM JERS-1 radar mosaics using wavelet zooming techniques and validation , 2002 .

[143]  Andres Kuusk,et al.  Comparison of measured boreal forest characteristics with estimates from TM data and limited ancillary information using reflectance model inversion , 2002 .

[144]  Sylvain G. Leblanc,et al.  A four-scale bidirectional reflectance model based on canopy architecture , 1997, IEEE Trans. Geosci. Remote. Sens..

[145]  Michael D. King,et al.  SCAR‐B fires in the tropics: Properties and remote sensing from EOS‐MODIS , 1998 .

[146]  Thuy Le Toan,et al.  Relating forest biomass to SAR data , 1992, IEEE Trans. Geosci. Remote. Sens..

[147]  Markku Similä,et al.  Forest inventory by compartments using satellite imagery. , 1987 .

[148]  Christopher O. Justice,et al.  Mapping the dense humid forest of Cameroon and Zaire using AVHRR satellite data , 1995 .

[149]  J. Settle,et al.  Subpixel measurement of tropical forest cover using AVHRR data , 1991 .

[150]  Eric F. Lambin,et al.  The identification of tropical deforestation fronts at broad spatial scales , 1997 .

[151]  B. St-Onge,et al.  Estimating forest stand structure from high resolution imagery using the directional variogram , 1995 .

[152]  M. C. Porwal,et al.  Vegetation maps, mapping needs and scope of digital processing of Landsat Thematic Mapper data in tropical region of south-west India , 1992 .

[153]  M. Steininger Tropical secondary forest regrowth in the Amazon: age, area and change estimation with Thematic Mapper data , 1996 .

[154]  Karin S. Fassnacht,et al.  Relationships between leaf area index and Landsat TM spectral vegetation indices across three temperate zone sites , 1999 .

[155]  R. Dubayah,et al.  Estimation of tropical forest structural characteristics using large-footprint lidar , 2002 .

[156]  Darrel L. Williams,et al.  BOREAS in 1997: Experiment overview, scientific results, and future directions , 1997 .

[157]  Jean-Philippe Gastellu-Etchegorry,et al.  A modeling approach to assess the robustness of spectrometric predictive equations for canopy chemistry , 2001 .

[158]  Robin L. Graham,et al.  Estimating forest productivity with Thematic Mapper and biogeographical data , 1989 .

[159]  J. Chen,et al.  Retrieving Leaf Area Index of Boreal Conifer Forests Using Landsat TM Images , 1996 .

[160]  Frédérique Seyler,et al.  Land cover mapping and carbon pools estimates in Rondonia, Brazil , 1998 .

[161]  J. Cuevas,et al.  Comparison of the use of WiFS and LISS images to estimate the area burned in a large forest fire , 2001 .

[162]  F. M. Danson,et al.  Estimating the stem carbon production of a coniferous forest using an ecosystem simulation model driven by the remotely sensed red edge , 2000 .

[163]  Bernard Pinty,et al.  MERIS potential for land applications , 1999 .

[164]  Charles E. Olson,et al.  The significance of spatial resolution: Identifying forest cover from satellite data , 2001 .

[165]  W. Cohen,et al.  Estimating structural attributes of Douglas-fir/western hemlock forest stands from Landsat and SPOT imagery , 1992 .

[166]  R. Mickler,et al.  Modeling and Spatially Distributing Forest Net Primary Production at the Regional Scale , 2002, Journal of the Air & Waste Management Association.

[167]  P. S. Roy,et al.  Forest cover assessment in north-east India--the potential of temporal wide swath satellite sensor data (IRS-1C WiFS) , 2002 .

[168]  D. H. Card,et al.  Prediction of leaf chemistry by the use of visible and near infrared reflectance spectroscopy , 1988 .

[169]  C. Hall,et al.  Tropical forests: Their past, present, and potential future role in the terrestrial carbon budget , 1993 .

[170]  J. Estes,et al.  Using satellite remote sensing analysis to evaluate a socio-economic and ecological model of deforestation in Rondônia, Brazil , 1996 .

[171]  W. Cohen,et al.  Modelling forest cover attributes as continuous variables in a regional context with Thematic Mapper data , 2001 .

[172]  B. Holben,et al.  Satellite detection of tropical burning in Brazil , 1987 .

[173]  M. Fladeland,et al.  Remote sensing for biodiversity science and conservation , 2003 .

[174]  Gautam Badhwar,et al.  Spectral Characterization of Biophysical Characterstics in a Boreal Forest: Relationship between Thematic Mapper Band Reflectance and Leaf Area Index for Aspen , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[175]  Jonas Ardö,et al.  Volume quantification of coniferous forest compartments using spectral radiance recorded by Landsat Thematic Mapper , 1992 .

[176]  George F. Hepner,et al.  Artificial neural network classification using a minimal training set - Comparison to conventional supervised classification , 1990 .

[177]  Thuy Le Toan,et al.  Multitemporal ERS SAR analysis applied to forest mapping , 2000, IEEE Trans. Geosci. Remote. Sens..

[178]  D. Mabberley The primary source: tropical forests and our future , 1985 .

[179]  H. Balzter Forest mapping and monitoring with interferometric synthetic aperture radar (InSAR) , 2001 .

[180]  Siamak Khorram,et al.  A comparison of SPOT and Landsat-TM data for use in conducting inventories of forest resources , 1992 .

[181]  George M. Woodwell,et al.  Deforestation in the tropics - New measurements in the Amazon Basin using Landsat and NOAA advanced very high resolution radiometer imagery , 1987 .

[182]  Gordon B. Bonan,et al.  Importance of leaf area index and forest type when estimating photosynthesis in boreal forests , 1993 .

[183]  Derek R. Peddle,et al.  Remote sensing of biophysical variables in boreal forest stands of Picea mariana , 1996 .

[184]  Eric Rignot,et al.  Assessment of JERS-1 SAR for monitoring secondary vegetation in Amazonia: I. Spatial and temporal variability in backscatter across a chrono-sequence of secondary vegetation stands in Rondonia , 2002 .

[185]  A. Skidmore,et al.  Spatial scale variations in vegetation indices and above-ground biomass estimates: Implications for MERIS , 2001 .

[186]  Xavier Pons,et al.  Approach to forestry inventory and mapping by means of multi-spectral airborne data , 1995 .

[187]  C. Tucker,et al.  Clearance and Fragmentation of Tropical Deciduous Forest in the Tierras Bajas, Santa Cruz, Bolivia , 2001 .

[188]  W. Ripple,et al.  A preliminary comparison of Landsat Thematic Mapper and SPOT-1 HRV multispectral data for estimating coniferous forest volume , 1991 .

[189]  K. Lulla,et al.  Mapping continental-scale biomass burning and smoke palls over the Amazon basin as observed from the Space Shuttle , 1990 .

[190]  Louis Moreau,et al.  Monitoring fire activities in the boreal ecosystem , 1997 .

[191]  R. Congalton,et al.  Evaluating seasonal variability as an aid to cover-type mapping from Landsat Thematic Mapper data in the Northeast , 1995 .

[192]  J. Chen,et al.  A process-based boreal ecosystem productivity simulator using remote sensing inputs , 1997 .

[193]  S. Franklin Remote Sensing for Sustainable Forest Management , 2001 .

[194]  Peng Gong,et al.  Inverting a canopy reflectance model using a neural network , 1999 .

[195]  Robert De Wulf,et al.  Extraction of forest stand parameters from panchromatic and multispectral SPOT-1 data , 1990 .

[196]  E. Nezry,et al.  Tropical vegetation mapping with combined visible and SAR spaceborne data , 1993 .

[197]  S. Sader,et al.  Comparison of change-detection techniques for monitoring tropical forest clearing and vegetation regrowth in a time series , 2001 .

[198]  Peter R. J. North,et al.  Three-dimensional forest light interaction model using a Monte Carlo method , 1996, IEEE Trans. Geosci. Remote. Sens..

[199]  Malcolm Davidson,et al.  Accuracy assessment of a large-scale forest cover map of central Siberia from synthetic aperture radar , 2002 .

[200]  S. Running,et al.  Forest ecosystem processes at the watershed scale: Sensitivity to remotely-sensed leaf area index estimates , 1993 .

[201]  Jerry M. Melillo,et al.  Comparison of wet chemistry and near infrared reflectance measurements of carbon-fraction chemistry and nitrogen concentration of forest foliage , 1991 .

[202]  A. Lugo,et al.  Tropical secondary forests , 1990, Journal of Tropical Ecology.

[203]  Urs Wegmüller,et al.  ERS INSAR data for remote sensing hilly forested areas , 2000 .

[204]  Zhanqing Li,et al.  Estimating fire-related parameters in boreal forest using SPOT VEGETATION , 2002 .

[205]  J. Settle,et al.  Linear mixing and the estimation of ground cover proportions , 1993 .

[206]  J. Hyyppä,et al.  Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes , 2000 .

[207]  Frédéric Achard,et al.  Forest classification of Southeast Asia using NOAA AVHRR data , 1995 .

[208]  Frédéric Achard,et al.  Global tropical forest area measurements derived from coarse resolution satellite imagery: a comparison with other approaches , 1998, Environmental Conservation.

[209]  F. M. Danson,et al.  RED-EDGE RESPONSE TO FOREST LEAF-AREA INDEX (VOL 16, PG 183, 1995) , 1995 .

[210]  Jennifer Robinson,et al.  Fire from space : global fire evaluation using infrared remote sensing , 1991 .

[211]  W. Cohen,et al.  Mapping montane tropical forest successional stage and land use with multi-date Landsat imagery , 2000 .

[212]  G. Shao,et al.  Mapping of boreal vegetation of a temperate mountain in China by multitemporal Landsat TM imagery , 2002 .

[213]  G. Asner,et al.  Cloud cover in Landsat observations of the Brazilian Amazon , 2001 .

[214]  Jean-Philippe Gastellu-Etchegorry,et al.  SPOT4 potential for the monitoring of tropical vegetation. A case study in Sumatra , 1999 .

[215]  M. Swaine,et al.  Early succession on cleared forest land in Ghana. , 1983 .

[216]  Hugh Eva,et al.  Contextual and multiple‐threshold algorithms for regional active fire detection with AVHRR data , 1996 .

[217]  Adrian Luckman,et al.  Microwave observations of boreal forests in the NOPEX area of Sweden and a comparison with observations of a temperate plantation in the United Kingdom , 1999 .

[218]  J. Faundeen,et al.  The 1 km AVHRR global land data set: first stages in implementation , 1994 .

[219]  B. St-Onge Automated forest structure mapping from high resolution imagery based on directional semivariogram estimates , 1997 .

[220]  Tim J. Malthus,et al.  High-spectral resolution data for monitoring Scots pine ( Pinus sylvestris L.) regeneration , 1998 .

[221]  Mary W. Downton,et al.  Measuring Tropical Deforestation: Development of the Methods , 1995, Environmental Conservation.

[222]  Eduardo S. Brondizio,et al.  Spectral identification of successional stages following deforestation in the Amazon , 1993 .

[223]  H. C. North,et al.  A multi-scale technique for detecting forest-cover boundary from L-band SAR images , 2001 .

[224]  Giles M. Foody,et al.  Tree biodiversity in protected and logged Bornean tropical rain forests and its measurement by satellite remote sensing , 2003 .

[225]  S. Ustin,et al.  Critique of stepwise multiple linear regression for the extraction of leaf biochemistry information from leaf reflectance data , 1996 .

[226]  Ghassem R. Asrar,et al.  Estimates of leaf area index from spectral reflectance of wheat under different cultural practices and solar angle , 1985 .

[227]  B. Law,et al.  Structure‐based forest biomass from fusion of radar and hyperspectral observations , 2003 .

[228]  G. Andreoli,et al.  Investigation of leaf biochemistry by statistics , 1995 .

[229]  Yoram J. Kaufman,et al.  Remote sensing of biomass burning in the tropics , 1990 .

[230]  Eric S. Kasischke,et al.  Mapping fire scars in global boreal forests using imaging radar data , 2002 .

[231]  S. Kalluri,et al.  The Pathfinder AVHRR land data set: An improved coarse resolution data set for terrestrial monitoring , 1994 .