Forest ecosystem processes at the watershed scale: Sensitivity to remotely-sensed leaf area index estimates

Abstract Recent research has shown that general trends in forest leaf area index along regional climatic gradients can be adequately characterized by using ratios of near-infrared and red reflectances. However it has proven difficult to represent properly the spatial distribution of Leaf Area Index (LAI) at sub-regional scales such as small catchments. The key problem at Thematic Mapper scale is the variation in canopy closure and understorey contribution, which dramatically influences near-infrared reflectance from conifer forests, [n this paper, a new spectral index is presented to estimate LAI of conifer forests using a combination of Red, NIR and mid-IR reflectances from the Landsat Thematic Mapper (TM). A simulation system (RHESSys) was used first, to generate potential vegetation patterns around a watershed in order to test them against remotely-sensed vegetation patterns, and secondly, to test the sensitivity of forest ecosystem processes to LAT estimated from combinations of the Thematic Mapper da...

[1]  D. E. Escobar,et al.  Age Effects of Cotton Leaves on Light Reflectance, Transmittance, and Absorptance and on Water Content and Thickness1 , 1971 .

[2]  K. Beven,et al.  A physically based, variable contributing area model of basin hydrology , 1979 .

[3]  C. Tucker Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[4]  C. Tucker Remote sensing of leaf water content in the near infrared , 1980 .

[5]  T. Lin,et al.  The Lambertian assumption and Landsat data. , 1980 .

[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]  M. E. Bauer,et al.  Relation of agronomic and multispectral reflectance characteristics of spring wheat canopies , 1983 .

[8]  S. Goward,et al.  Enhanced crop discrimination using the mid-IR (1.55-1.75μm) , 1983 .

[9]  Relationship of sorghum canopy variables to reflected infrared radiation to two wavelengths and two wavebands , 1984 .

[10]  G. Asrar,et al.  Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat1 , 1984 .

[11]  R. D. Jackson,et al.  Spectral response of cotton to suddenly induced water stress , 1985 .

[12]  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.

[13]  Janet Franklin,et al.  Thematic mapper analysis of coniferous forest structure and composition , 1986 .

[14]  A. Strahler,et al.  Geometric-Optical Bidirectional Reflectance Modeling of a Conifer Forest Canopy , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[15]  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.

[16]  William J. Ripple,et al.  Spectral reflectance relationships to leaf water stress , 1986 .

[17]  J. L. Barker,et al.  Landsat MSS and TM post-calibration dynamic ranges , 1986 .

[18]  F. J. Ahern,et al.  Forestry information content of Thematic Mapper data , 1986 .

[19]  Ramakrishna R. Nemani,et al.  Extrapolation of synoptic meteorological data in mountainous terrain and its use for simulating forest evapotranspiration and photosynthesis , 1987 .

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

[21]  R. Hungerford Estimation of foliage area in dense Montana lodgepole pine stands , 1987 .

[22]  S. Running,et al.  Numerical Terradynamic Simulation Group 12-1988 Rapid Estimation of Coniferous Forest Leaf Area Index Using a Portable Integrating Radiometer , 2018 .

[23]  Frédéric Baret,et al.  Complementarity of middle-infrared with visible and near-infrared reflectance for monitoring wheat canopies☆ , 1988 .

[24]  S. Running,et al.  A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes , 1988 .

[25]  Steven W. Running,et al.  Comparing site quality indices and productivity in ponderosa pine stands of western Montana , 1988 .

[26]  B. Rock,et al.  Detection of changes in leaf water content using Near- and Middle-Infrared reflectances , 1989 .

[27]  Ramakrishna R. Nemani,et al.  Testing a theoretical climate-soil-leaf area hydrologic equilibrium of forests using satellite data and ecosystem simulation , 1989 .

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

[29]  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 .

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

[31]  S. Running,et al.  Forest ecosystem processes at the watershed scale: incorporating hillslope hydrology , 1993 .