Satellite-based radar mapping of British forest age and Net Ecosystem Exchange using ERS tandem coherence

Forest Ecology and Management

Volumn 238, Issue 1-3, 2007, Pages 65-80

  Drezet, P M L ^a   Quegan, S ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Biomass; Carbon accounting; Coherence; Remote sensing; SAR

Indexed keywords

BIOMASS; CONFORMAL MAPPING; ECOSYSTEMS; REMOTE SENSING; SYNTHETIC APERTURE RADAR;

CARBON ACCOUNTING; COHERENCE ACQUISITIONS; REMOTE SENSING DATA;

FORESTRY;

AGE DETERMINATION; AGE STRUCTURE; BIOMASS; CARBON FLUX; FOREST ECOSYSTEM; NET ECOSYSTEM EXCHANGE; REMOTE SENSING; SYNTHETIC APERTURE RADAR; VEGETATION MAPPING;

BIOMASS; ECOSYSTEMS; FORESTRY; MAPPING; REMOTE SENSING;

ENGLAND; EURASIA; EUROPE; SCOTLAND; UNITED KINGDOM; WALES; WESTERN EUROPE;

EID: 33845962298     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2006.09.088     Document Type: Article

References (29)

1. Askne J., Dammert P., Ulander L., and Smith G. C-band repeat-pass interferometric SAR observations of the forest. IEEE Trans. Geosci. Remote Sens. 35 1 (1997) 25-35
2. Askne J., Santoro M., Smith G., and Fransson J.E.S. Multitemporal repeat-pass SAR interferometry of boreal forests forest. IEEE Trans. Geosci. Remote Sens. 41 7 (2003) 1540-1550
3. Attema E., and Ulaby F. Vegetation modeled as a water cloud. Radio Sci. 13 (1978) 357-364
4. Balzter H., Talmon E., Wagner W., Gaveau D., Yu J., Quegan S., Davidson M., Le Toan T., Gluck M., Shvidenko A., Nilsson S., Tansey K., Luckman A., and Schmullius C. Accuracy assessment of a large-scale forest cover map of central Siberia from Synthetic Aperture Radar. Can. J. Remote Sens. 28 6 (2002) 719-737
5. Drezet, P.M.L., Quegan, S., 2004. British Forest Age Structure Maps. ftp://ftp.ctcd.shef.ac.uk.
6. Drezet P.M.L., and Quegan S. Environmental effects on the interferometric repeat-pass coherence of forests. IEEE Trans. Geosci. Remote Sens. 44 4 (2006) 825-837
7. Foody G.M., Boyd D., and Cutler M. Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions. Remote Sens. Environ. 85 4 (2003) 463-474
8. Fransson J.E.S., Smith G., Askne J., and Olsson H. Stem volume estimation in boreal forests using ERS-1/2 coherence and SPOT XS optical data. Int. J. Remote Sens. 22 14 (2002) 2777-2791
9. Gamma, 2003. Gamma remote sensing. http://www.gamma-rs.ch.
10. Grace, J., 2004. Age related dynamics of carbon exchange in european forests: final report and technical implementation plan. Tech. rep. University of Edinburgh.
11. Hagberg J., Ulander L., and Askne J. Repeat-pass sar interferometry over forested terrain. IEEE Trans. Geosci. Remote Sens. 33 2 (1995) 331-340
12. Hamilton, G., Christie, J., 1971. Forest management tables (metric). Booklet, vol. 34. Forestry Commission, London, England.
13. Jarvis, H.G.H.P., 2005. The Carbon Balance of Forest Biomes. Taylor & Francis.
14. Lang R., and Sidhu J. Electromagnetic backscattering from a layer of vegetation: a discrete approach. IEEE Trans. Geosci. Remote Sens. 21 1 (1983) 62-71
15. Le Toan T., Beaudoin A., Riom J., and Guyon D. Relating forest biomass to SAR data. IEEE Trans. Geosci. Remote Sens. 30 2 (1992) 403-411
16. Mencuccini, M., Rayment, M., Grace, J., 2004. Personal communication.
17. Mette, T., Papathanassiou, K.P., Hajnsek, I., Zimmermann, R., 2003. Forest biomass estimation using polarimetric SAR interferometry. In: Proceedings of PolInsar 2003. ESA.
18. Milne R., Hargreaves K., and Murray M. Carbon stocks and sinks in forestry for the United Kingdom greenhouse gas inventory. Biotechnol. Agron. Soc. Environ. 4 4 (2000) 290-293
19. Picard, G., 2002. Modélisation radar des couverts végétaux Applications á la télédétection de couverts forestiers et agricoles. CESBIO, 13 Avenue du Colonel Roche, 3140, Toulous, France.
20. Proisy C., Mougin E., Dufrêne E., and Dantec V.L. Monitoring seasonal changes of a mixed temperate forest using ERS SAR observations. IEEE Trans. Geosci. Remote Sens. 38 1 (2000) 540-552
21. Santoro M., Askne J., Smith G., and Fransson J.E.S. Stem volume retrieval in boreal forests from ERS-1/2 interferometry. Remote Sens. Environ. 81 1 (2002) 19-35
22. Smith G., and Askne J. Clear-cut detection using ERS interferometry. Int. J. Remote Sens. 22 18 (2001) 3651-3664
23. Sun G., Simonett D.S., and Strahler A.H. A radar backscatter model for discontinuous forest canopies. IEEE Trans. Geosci. Remote Sens. 29 (1991) 639-650
24. Valentini R., Matteucci G., Dolman A., Schulze E., Rebmann C., Moors E., Granier A., Gross P., Jensen N., Pilegaard K., Lindroth A., Grelle A., Bernhofer C., Ceulemans T.G.M.A.R., Kowalski A., Vesala T., Rannik U., Berbigier P., Loustau D., Gudmundsson J., Thorgeirsson H., Ibrom A., Morgenstern K., Clement R., Moncrieff J., Montanagni L., Minerbi S., and Jarvis P. Respiration as the main determinant of carbon balance in European forests. Nature 404 (2000) 861-865
25. Wagner W., Luckman A., Vietmeier J., Tansey K., Balzter H., Schmullius C., Davidson M., Gaveau D., Gluck M., Le Toan T., Quegan S., Shvidenko A., Wiessmann A., and Yu J.J. Large-scale mapping of boreal forest in SIBERIA using ERS tandem coherence and JERS backscatter data. Remote Sens. Environ. 85 (2003) 125-144
26. Way J., Paris J., Dobson M., McDonald K., Ulaby F., Weber J., Ustin L., Vanderbilt V., and Kasischke E. Diurnal change in trees as observed by optical and microwave sensors: the EOS synergism study. IEEE Trans. Geosci. Remote Sens. 29 6 (1991) 807-821
27. Wegmuller U., and Werner C. SAR interferometric signatures of forest. IEEE Trans. Geosci. Remote Sens. 33 5 (1995) 1153-1161
28. Williams, M., Rastetter, E., Fernandes, D., Goulden, M., Wofsy, S., Shaver, G., Melillo, J., Munger, J., Fan, S.-M., Nadelhoffer, K., 1996. Modelling the soil-plant-atmosphere continuum in a quercus-acer stand at harvard forest: the regulation of stomatal conductance by light, nitrogen and soil/plant hydraulic properties. Plant Cell Environ. 19, 911-927.
29. Zebker H.A., and Villasenor J. Decorrelation in interferometric radar echos. IEEE Trans. Geosci. Remote Sens. 30 5 (1992) 950-959