Modeling of geometric properties of loblolly pine tree and stand characteristics for use in radar backscatter studies

An approach is presented to physically describe the tree and canopy components within loblolly pine forests in studies of microwave backscattering from forested canopies. The approach is based on a set of algorithms which describe the biomass characteristics of individual trees using measurements of tree diameter, height, and canopy depth. These algorithms predict bole, branch, and needle biomass; number, sizes, and orientations of primary and smaller branches; and number and density of needle clumps. Methods are discussed to aggregate the individual tree measurements into stand measurements (i.e., measurements per unit area). The results of the model clearly show how biomass distribution between tree components and canopy layers varies as a function of stand age for loblolly pines. The results also show the approach can be used to predict changes in the branch size and orientation within the canopy as a function of stand age, both on an individual tree basis as well as an entire stand basis. >

[1]  D. H. Knight,et al.  Aims and Methods of Vegetation Ecology , 1974 .

[2]  M.A. Karam,et al.  Leaf-shape effects in electromagnetic wave scattering from vegetation , 1989, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Kamal Sarabandi,et al.  Michigan microwave canopy scattering model , 1990 .

[4]  John Melack,et al.  Simulated and observed backscatter at P-, L-, and C-bands from ponderosa pine stands , 1993, IEEE Trans. Geosci. Remote. Sens..

[5]  Stephen L. Durden,et al.  Polarimetric radar measurements of a forested area near Mt. Shasta , 1991, IEEE Trans. Geosci. Remote. Sens..

[6]  A. J. Sharp,et al.  Textbook of Dendrology , 1960 .

[7]  John A. Richards,et al.  Radar backscatter modelling of forests: a review of current trends , 1990 .

[8]  Alan H. Strahler,et al.  A radar backscatter model for discontinuous coniferous forests , 1991, IEEE Trans. Geosci. Remote. Sens..

[9]  G. H. Brister,et al.  Estimating Crown Biomass in Loblolly Pine Plantations in the Carolina Flatwoods , 1982 .

[10]  G. Baskerville.  Use of Logarithmic Regression in the Estimation of Plant Biomass , 1972 .

[11]  Stephen L. Durden,et al.  Modeling and observation of the radar polarization signature of forested areas , 1989 .

[12]  Guoqing Sun,et al.  Simulation of L-band and HH microwave backscattering from coniferous forest stands: a comparison with SIR-B data , 1988 .

[14]  A. Lopes,et al.  Microwave propagation at X band in cylindrical-shaped forest components: attenuation observations , 1990 .

[15]  Eric Stewart Kasischke.  Monitoring changes in above-ground biomass in loblolly pine forests using multichannel synthetic aperture radar data. , 1992 .

[16]  E. S. Kasischke,et al.  The effects of changes in loblolly pine biomass and soil moisture on ERS-1 SAR backscatter , 1994 .

[17]  Leung Tsang,et al.  Complete Polarimetric Scattering From A Multi-Layer Forestry Model Of Nonuniformly-Oriented, Heterogeneous Nonspherical Scatterers , 1991, [Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management.

[18]  Thuy Le Toan,et al.  Dependence of radar backscatter on coniferous forest biomass , 1992, IEEE Trans. Geosci. Remote. Sens..

[19]  A. Clark,et al.  Weight, Volume, and Physical Properties of Major Hardwood Species in the Upland-South , 1986 .

[20]  M. Kolawole.  A Sparse Canopy Forest Backscatter Model , 1991, [Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management.

[21]  Susan L. Ustin,et al.  Opportunities for Using the EOS Imaging Spectrometers and Synthetic Aperture Radar in Ecological Models , 1991, Ecology.

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

[23]  John C Byrne,et al.  Complex compatible taper and volume estimation systems for red and loblolly pine , 1986 .

[24]  S. Sader.  Forest biomass, canopy structure, and species composition relationships with multipolarization L-band synthetic aperture radar data , 1987 .

[25]  M. A. Karam,et al.  Scattering from randomly oriented circular discs with application to vegetation , 1983 .

[26]  Fawwaz T. Ulaby,et al.  Radiative transfer modelling of discontinuous tree canopies at microwave frequencies , 1993 .

[27]  Robin M. Reich,et al.  Estimating splash pine biomass using radar backscatter , 1991, IEEE Trans. Geosci. Remote. Sens..

[28]  Adrian K. Fung,et al.  Effect of tree structure on X-band microwave signature of conifers , 1993, IEEE Trans. Geosci. Remote. Sens..

[29]  Eric S. Kasischke,et al.  Correlating radar backscatter with components of biomass in loblolly pine forests , 1995, IEEE Trans. Geosci. Remote. Sens..

[30]  Shih-tseng Wu,et al.  Potential Application of Multipolarization SAR for Pine-Plantation Biomass Estimation , 1987, IEEE Transactions on Geoscience and Remote Sensing.

[31]  Kyle McDonald,et al.  Modeling multi-frequency Diurnal backscatter from a walnut orchard , 1991, IEEE Trans. Geosci. Remote. Sens..

[32]  K. Jon Ranson,et al.  Radar modeling of a boreal forest , 1991, IEEE Trans. Geosci. Remote. Sens..

[33]  M. Imhoff,et al.  Simulated and observed L-HH radar backscatter from tropical mangrove forests , 1993 .

[34]  M. A. Karam,et al.  Electromagnetic scattering from a layer of finite length, randomly oriented, dielectric, circular cylinders over a rough interface with application to vegetation , 1988 .

[35]  Roger H. Lang,et al.  Electromagnetic Backscattering from a Layer of Vegetation: A Discrete Approach , 1983, IEEE Transactions on Geoscience and Remote Sensing.

[36]  John Melack,et al.  Modeling L-band radar backscatter of Alaskan boreal forest , 1993, IEEE Trans. Geosci. Remote. Sens..

[37]  Eric S. Kasischke,et al.  Connecting forest ecosystem and microwave backscatter models , 1990 .

[38]  R. J. Miller,et al.  Principles Of A High Resolution Forest Imaging Model For Sar , 1990, 10th Annual International Symposium on Geoscience and Remote Sensing.

[39]  Fawwaz Ulaby,et al.  Microwave Dielectric Spectrum of Vegetation - Part II: Dual-Dispersion Model , 1987, IEEE Transactions on Geoscience and Remote Sensing.

[40]  A. K. Fung,et al.  Scattering from a random layer embedded with dielectric needles , 1986 .

[41]  M. C. Dobson,et al.  Spatial and temporal variation of the microwave dielectric properties of loblolly pine trunks , 1991, [Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management.

[42]  Fawwaz T. Ulaby,et al.  Using Mimics To Model L-band Multiangle and Multitemporal Backscatter From A Walnut Orchard , 1990 .

[43]  Yong Wang,et al.  Santa Barbara microwave backscattering model for woodlands , 1993 .

[44]  Roger Lang,et al.  Microwave Inversion of Leaf Area and Inclination Angle Distributions from Backscattered Data , 1985, IEEE Transactions on Geoscience and Remote Sensing.