Monitoring seasonal changes of a mixed temperate forest using ERS SAR observations

Temporal variations of environmental research satellite (ERS)-1/2 backscattering coefficients acquired over a mixed deciduous forest are analyzed with an aim toward relating the observed radiometric variations to changes either in the vegetation seasonal cycle or in the structural parameters. Overall, the results are somewhat pessimistic. Temporal /spl sigma//sup 0/ plots show chaotic variations, which are difficult to relate to the seasonal changes of forest parameters and particularly to the foliage dynamics. Furthermore, no distinction between stand types or between deciduous species is found to be possible, and nearly identical temporal plots are observed for all the stands, suggesting that the radar signatures are partly under the influence of nonforest parameters. Besides, the effect of meteorological events are difficult to evaluate. Discrimination between deciduous stands and conifers is nevertheless possible, since the radiometric difference between the two species is about 1 dB. With an overall sensitivity to standing biomass of about 0.1 dB/50 tons per hectare, ERS SARs can be considered as almost insensitive to biomass variations. For the young stands, the C-band response is found to be dominated by stand structure, whereas the backscattering coefficient saturates for biomass values higher than 50 and 80 t DM ha/sup -1/ for deciduous and conifers, respectively.

[1]  M. Moghaddam,et al.  Effects of environmental change on radar backscatter in the Oregon Transect , 1993, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium.

[2]  John A. Richards,et al.  The effect of changing environmental conditions on microwave signatures of forest ecosystems - Preliminary results of the March 1988 Alaskan aircraft SAR experiment , 1990 .

[3]  Petteri Vanninen,et al.  Effects of age and site quality on the distribution of biomass in Scots pine ( , 1996 .

[4]  H. Bartelink Allometric relationships for biomass and leaf area of beech (Fagus sylvatica L.). , 1997 .

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

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

[7]  Eric S. Kasischke,et al.  Sensitivity of ERS-1 SAR to variations in soil water in fire-disturbed boreal forest ecosystems , 1996 .

[8]  P. Ciais,et al.  A Large Northern Hemisphere Terrestrial CO2 Sink Indicated by the 13C/12C Ratio of Atmospheric CO2 , 1995, Science.

[9]  David M. Le Vine,et al.  A microwave polarimetric scattering model for forest canopies based on vector radiative transfer theory , 1995 .

[10]  R. K. Dixon,et al.  Carbon Pools and Flux of Global Forest Ecosystems , 1994, Science.

[11]  Kenneth J. Ranson,et al.  Effect of environmental temperatures on SAR forest biomass estimates , 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.

[12]  Henri Laur,et al.  Derivation of the backscattering coefficient s0 in ESA ERS SAR PRI products , 1996 .

[13]  I. Fung,et al.  Observational Contrains on the Global Atmospheric Co2 Budget , 1990, Science.

[14]  J.T. Pulliainen,et al.  Seasonal dynamics of C-band backscatter of boreal forests with applications to biomass and soil moisture estimation , 1996, IEEE Trans. Geosci. Remote. Sens..

[15]  M. Zink,et al.  Forest monitoring with SIR-C/X-SAR , 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

[16]  S. T. Gower,et al.  A comparison of optical and direct methods for estimating foliage surface area index in forests , 1994 .

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

[18]  Jiancheng Shi,et al.  Monitoring of environmental conditions in Taiga forests using ERS-1 SAR , 1994 .

[19]  Fawwaz T. Ulaby,et al.  Relating the temporal change observed by AIRSAR to surface and canopy properties of mixed conifer and hardwood forests of northern Michigan , 1991 .

[20]  Lars M. H. Ulander,et al.  C-band repeat-pass interferometric SAR observations of the forest , 1997, IEEE Trans. Geosci. Remote. Sens..

[21]  Kamal Sarabandi,et al.  Estimation of forest biophysical characteristics in Northern Michigan with SIR-C/X-SAR , 1995, IEEE Trans. Geosci. Remote. Sens..

[22]  F. Ulaby,et al.  Microwave Dielectric Behavior of Wet Soil-Part 1: Empirical Models and Experimental Observations , 1985, IEEE Transactions on Geoscience and Remote Sensing.

[23]  Jiancheng Shi,et al.  Monitoring of Environmental Conditions in Taiga Forests Using ERS-1 SAR Data: Results From the Commissioning Phase , 1993 .