GLOBAL OBSERVATION OF FOREST COVER FINE RESOLUTION DATA AND PRODUCT DESIGN STRATEGY

[1]  Gautam D. Badhwar,et al.  Satellite-derived leaf-area-index and vegetation maps as input to global carbon cycle models-a hierarchical approach , 1986 .

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

[3]  Thomas M. Smith,et al.  A global land primary productivity and phytogeography model , 1995 .

[4]  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 .

[5]  S. Goward,et al.  Global Primary Production: A Remote Sensing Approach , 1995 .

[6]  S. Goward,et al.  Vegetation canopy PAR absorptance and the normalized difference vegetation index - An assessment using the SAIL model , 1992 .

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

[8]  Margaret E. Gardner,et al.  Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models , 1998 .

[9]  Tsutomu Takashima,et al.  Estimation of SW Flux Absorbed at the Surface from TOA Reflected Flux , 1993 .

[10]  Robin L. Graham,et al.  Regional forest cover estimation via remote sensing: the calibration center concept , 1994, Landscape Ecology.

[11]  A. Belward,et al.  The IGBP-DIS global 1km land cover data set, DISCover: First results , 1997 .

[12]  R. Lucas,et al.  Non-linear mixture modelling without end-members using an artificial neural network , 1997 .

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

[14]  Ashbindu Singh,et al.  Review Article Digital change detection techniques using remotely-sensed data , 1989 .

[15]  G. Bonan,et al.  Influence of Subgrid-Scale Heterogeneity in Leaf Area Index, Stomatal Resistance, and Soil Moisture on Grid-Scale Land–Atmosphere Interactions , 1993 .

[16]  A. McGuire,et al.  Global climate change and terrestrial net primary production , 1993, Nature.

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

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

[19]  John M. Norman,et al.  Carbon distribution and aboveground net primary production in aspen, jack pine, and black spruce stands in Saskatchewan and Manitoba, Canada , 1997 .

[20]  J. Monteith,et al.  Principles of Environmental Physics , 2014 .

[21]  N. A. Quarmby,et al.  Linear mixture modelling applied to AVHRR data for crop area estimation , 1992 .

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

[23]  Michael G. Ryan,et al.  A simple method for estimating gross carbon budgets for vegetation in forest ecosystems. , 1991, Tree physiology.

[24]  Jonathan A. Foley,et al.  Net primary productivity in the terrestrial biosphere: The application of a global model , 1994 .

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

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

[27]  Zhiliang Zhu,et al.  US forest types and predicted percent forest cover from AVHRR data , 1994 .

[28]  E. Smith,et al.  High‐resolution estimates of total solar and PAR surface fluxes over large‐scale BOREAS study area from GOES measurements , 1997 .

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

[30]  S. Running,et al.  Simulated dry matter yields for aspen and spruce stands in the North American boreal forest , 1992 .

[31]  Aaron Moody,et al.  Using Landscape Spatial Relationships to Improve Estimates of Land-Cover Area from Coarse Resolution Remote Sensing , 1998 .

[32]  J. Randerson,et al.  Terrestrial ecosystem production: A process model based on global satellite and surface data , 1993 .

[33]  L. Iverson,et al.  A technique for extrapolating and validating forest cover across large regions - Calibrating AVHRR data with TM data , 1989 .

[34]  J. Townshend,et al.  Global discrimination of land cover types from metrics derived from AVHRR pathfinder data , 1995 .

[35]  José M. C. Pereira,et al.  A comparative evaluation of NOAA/AVHRR vegetation indexes for burned surface detection and mapping , 1999, IEEE Trans. Geosci. Remote. Sens..

[36]  P. Bierwirth,et al.  Mineral mapping and vegetation removal via data-calibrated pixel unmixing, using multispectral images , 1990 .

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

[38]  P. Gong,et al.  Remote Sensing of Seasonal Leaf Area Index Across the Oregon Transect , 1994 .

[39]  John B. Adams,et al.  Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon , 1995 .

[40]  R. Pech,et al.  Reflectance modelling and the derivation of vegetation indices for an Australian semi-arid shrubland , 1986 .