Monitoring of biophysical parameters of cashew plants in Cambodia using ALOS/PALSAR data

Environmental Monitoring and Assessment

Volumn 185, Issue 2, 2013, Pages 2023-2037

  Avtar, Ram ^a,b   Takeuchi, Wataru ^a   Sawada, Haruo ^a  

^a INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

^b JAPAN AGENCY FOR MARINE EARTH SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

Backscattering coefficient ( ); Biomass accumulation rate; Cashew plants' growth; PALSAR; Plant biophysical parameters

Indexed keywords

BACKSCATTERING COEFFICIENTS; BIOMASS ACCUMULATION; BIOPHYSICAL PARAMETERS; COEFFICIENT OF DETERMINATION; DIAMETER-AT-BREAST HEIGHTS; PALSAR; PHASED ARRAY TYPE L-BAND SYNTHETIC APERTURE RADARS; ROOT MEAN SQUARE ERRORS;

BACKSCATTERING; BIOMASS; BIOPHYSICS; FORESTRY; MEAN SQUARE ERROR; SOIL MOISTURE;

ECOLOGY;

ALOS; ANGIOSPERM; BACKSCATTER; BIOACCUMULATION; BIOMASS; GROWTH RATE; SOIL MOISTURE; SYNTHETIC APERTURE RADAR;

ARTICLE; BASAL AREA; BIOMASS; BIOMASS ALLOCATION; BIOPHYSICS; CAMBODIA; CASHEW NUT; CROWN DIAMETER; DIAMETER AT BREAST HEIGHT; ENVIRONMENTAL MONITORING; PHYSICAL PARAMETERS; PHYSIOLOGIC MONITORING; PLANT AGE; PLANT HEIGHT; PLANT PARAMETERS; PLANTATION; POLARIMETRY; SEASONAL VARIATION; SOIL MOISTURE; TREE DENSITY; ANACARDIUM; METHODOLOGY; PHYSIOLOGY; REMOTE SENSING; TELECOMMUNICATION;

ANACARDIUM; BIOMASS; CAMBODIA; ECOLOGY; FORESTRY; MOISTURE; PLANTS;

CAMBODIA;

ANACARDIUM OCCIDENTALE;

ANACARDIUM; CAMBODIA; ENVIRONMENTAL MONITORING; RADAR; REMOTE SENSING TECHNOLOGY;

MLCS; MLOWN;

EID: 84874400201     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-012-2685-y     Document Type: Article

References (48)

1. Ahren, F. J., Drdle, T., Maclean, D. A., & Kneppeck, I. D. (1991). A quantitative relationship between forest growth rates and thematic mapper reflectance measurements. International Journal of Remote Sensing, 12, 387-400.
2. Avtar, R., Sawada, H., Takeuchi, W., & Singh, G. (2012). Characterization of forests and deforestation in Cambodia using ALOS/PALSAR observation. Geocarto International, 27(2), 119-137.
3. Avtar, R., Takeuchi, W., & Sawada, H. (2011a). Full polarimetric PALSAR based land cover monitoring in Cambodia for implementation of REDD policies. International Journal of Digital Earth. doi: 10.1080/17538947.2011. 620639.
4. Avtar, R., Takeuchi, W., & Sawada, H. (2011b). Assessment of cashew and rubber plants biophysical parameters based on ALOS/PALSAR data. Seisan-Kenkyu, 63(4), 51-54.
5. Carle, J., & Holmgren, P. (2008). Wood from planted forests: a global outlook 2005-2030. Forest Products Journal, 58(12), 6-18.
6. Cohen, W. B., Spies, T. A., & Fiorella, M. (1995). Estimating the age and structure of forest in a multi-ownership landscape of western Oregon. International Journal of Remote Sensing, 16, 721-746.
7. Coops, N. C. (2002). Eucalypt forest structure and synthetic aperture radar backscatter: a theoretical analysis. Trees, 16, 28-46.
8. Dobson, M. C., Ulaby, F. T., Pierce, L. E., Sharik, T. L., Bergen, K. M., Kellndorfer, J., Kendra, J. R., Li, E., Lin, Y. C., Nashashibi, A., Sarabandi, K. L., & Siqueira, P. (1995). Estimation of forest biophysical characteristics in Northem Michigan with SIR-C/X-SAR. IEEE Transactions on Geoscience and Remote Sensing, 33(4), 877-896.
9. Dobson, M. C., Ulaby, F. T., Le Toan, T., Beaudoin, A., Kasischke, E. S., & Christensen, N. (1992). Dependence of radar backscatter on coniferous forest biomass. IEEE Transactions on Geoscience and Remote Sensing, 30(2), 412-415.
10. Drezet, P. M. L., & Quegan, S. (2007). Satellite-based radar mapping of British forest age and net ecosystem exchange using ERS tandem coherence. Forest Ecology and Management, 238, 65-80.
11. Economic Land Concession, MAFF. (2010). http://www.elc.maff.gov.kh/en/ news/12-elc-status.html
12. Foody, G. M., Boyd, D., & Cutler, M. (2003). Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions. Remote Sensing of Environment, 85(4), 463-474.
13. FRA (2010). Global forest resources assessment. Country reports, Cambodia, Rome.
14. Harrell, P. A., Bourgeau-Chavez, L. L., Kasischke, E. S., French, N. H. F., & Christensen, N. L. (1995). Sensitivity of ERS-1 and JERS-1 radar data to biomass and stand structure in Alaskan boreal forest. Remote Sensing of Environment, 54, 247-253.
15. Imhoff, M. L., Sisk, T. D., Milne, A., Morgan, G., & Orr, T. (1997). Remotely sensed indicators of habitat heterogeneity: use of synthetic aperture radar in mapping vegetation structure and bird habitat. Remote Sensing of Environment, 60, 217-227.
16. Jensen, J. R. (2000). Remote sensing of the environmental an earth resource perspective. Englewood Cliffs: Prentice Hall.
17. Kasischke, E. S., Bourgeau-Chavez, L. L., Rober, A. R., Wyatt, K. H., Waddington, J. M., & Turetsky, M. R. (2009). Effects of soil moisture and water depth on ERS SAR backscatter measurements from an Alaskan wetland complex. Remote Sensing of Environment, 113, 1868-1873.
18. Lamb, D. (2011). Regreening the bare hills: tropical forest restoration in the Asia-Pacific region. New York: Springer.
19. Lavalle, M., Solimini, D., & Pottier, E. (2008). PolinSAR for forest biomass retrieval: PALSAR observations and model analysis. Proceedings of IEEE, IGARSS 2008, 3, 302-305.
20. Le Toan, T., Beaudoin, A., Riom, J., & Guyon, D. (1992). Relating forest biomass to SAR data. IEEE Transaction on Geoscience and Remote Sensing, 30, 403-411.
21. Lin, Y., & Sarabandi, K. (1999). Retrieval of forest parameters using a fractal-based coherent scattering model and a genetic algorithm. IEEE Transactions on Geoscience and Remote Sensing, 37(3), 1415-1425.
22. Lu, D. (2006). The potential and challenge of remote sensing-based biomass estimation. International Journal of Remote Sensing, 27(7), 1297-1328.
23. Lucas, R. M., Cronin, N., Lee, A., Moghaddam, M., Witte, C., & Tickle, P. (2006). Empirical relationships between AIRSAR backscatter and LiDAR-derived forest biomass, Queensland, Australia. Remote Sensing of Environment, 100, 407-425.
24. Macelloni, G., Paloscia, S., Pampaloni, P., Marliani, F., & Gai, M. (2001). The relationship between the backscattering coefficient and the biomass of narrow and broad leaf crops. IEEE Transactions on Geoscience and Remote Sensing, 39, 873-884.
25. MAFF. (2004). Agricultural statistics 2003-2004. Phnom Penh: Ministry of Agriculture, Forestry and Fisheries.
26. McDonald, K. C., & Ulaby, F. T. (1993). Radiative transfer modeling of discontinuous tree canopies at microwave frequencies. International Journal of Remote Sensing, 14(11), 2097-2128.
27. Mitchard, E. T. A., Saatchi, S. S., Woodhouse, I. H., Nangendo, G., Ribeiro, N. S., Williams, M., Ryan, C. M., Lewis, S. L., Feldpausch, T. R., & Meir, P. (2009). Using satellite radar backscatter to predict above-ground woody biomass: a consistent relationship across four different African landscapes. Geophysical Research Letters, 36, L23401. doi: 10.1029/2009GL040692.
28. Mougin, E., Proisy, C., Marty, G., Fromard, F., Puig, H., Betoulle, J. L., & Rudant, J. P. (1999). Multifrequency and multipolarization radar backscattering from mangrove forestes. IEEE Transactions on Geoscience and Remote Sensing, 37(1), 94-102.
29. Nizalapur, V., Jha, C. K., & Masugundu, R. (2010). Estimation of above ground biomass in Indian forested area using multi-frequency DLR-ESAR data. International Journal of Geomatics and Geosciences, 1(2), 167-179.
30. Ouarzedine, M., Souissi, B., & Belhadj-Aissa, A. (2009). Forest characterization and mapping using fully polarimetric SAR data. Frascati: PolInSAR 2009.
31. Paloscia, S., Macelloni, G., Pampaloni, P., & Sigismondi, S. (1999). The potential of C- and L-band SAR in estimating vegetation biomass: the ERS-1 and JERS-1 experiments. IEEE Transactions on Geoscience and Remote Sensing, 37, 2107-2110.
32. Peter, K. V. (2007). Commercial crops technology. New Delhi: New India Publishing Agency.
33. Phat, K., Ouk, N., Uozumi, Y., & Ueki, T. (2001). A case study of the current situation for forest concessions in Cambodia. Journal of Forest Planning, 7(2), 59-67.
34. Rajaona, A. M. (2008). Comparative study of allometric parameters of cashew tree (Anacardium occidentale) In North East Brazil. Master thesis, University of Bonn.
35. Ranson, K. J., & Sun, G. (1994). Northern forest classification using temporal multi frequency and multi-polarimetric SAR images. Remote Sensing of Environment, 47(2), 142-153.
36. Rignot, E. J., Zimmermann, R., & Vanzyl, J. J. (1995). Spaceborne applications of P band imaging radars for measuring forest biomass. IEEE Transactions on Geoscience and Remote Sensing, 33(5), 1162-1170.
37. Ruste, Y., Hame, T., Pulliainen, J., Heiska, K., & Hallikainen, M. (1994). Radar-based forest biomass estimation. International Journal of Remote Sensing, 15, 2797-2808.
38. Schlerf, M., & Atzberger, C. (2006). Inversion of a forest reflectance model to estimate structural canopy variables form hyperspectral remote sensing data. Remote Sensing and Environment, 100(3), 281-294.
39. Schoups, G., Troch, P. A., & Veroest, N. (1998). Soil moisture influences on the radar backscattering of sugar beet fields. Remote Sensing of Environment, 65, 184-194.
40. Shimada, M., Isoguchi, O., Tadono, T., & Isono, K. (2009). PALSAR polarimetric calibration and geometric calibration. IEEE Transactions on Geoscience and Remote Sensing, 47(12), 3915-3932.
41. Stephens, S. S., & Wanger, M. R. (2007). Forest plantation and biodiversity: a fresh perspective. Journal of Forestry, 105(6), 307-313.
42. Trotter, C. M., Dymond, J. R., & Goulding, C. J. (1997). Estimation of timber volume in a coniferous plantation forest using Landsat TM. International Journal of Remote Sensing, 18, 2209-2223.
43. Ulaby, F. T., Moore, R. K., Fung, A. K. (1982). Microwave remote sensing: active and passive. Volume 2: Radar remote sensing and surface scattering and emission theory, Addison-Wesley, Advanced book program: Reading, Massachusetts, 609.
44. UNEP. (2009). Cambodia environment outlook. Phnom Penh: Ministry of Environment, Kingdom of Cambodia.
45. Wang, Q., Adiku, S., Tenhunen, J., & Granier, A. (2005). On the relationship of NDVI with leaf area index in a deciduous forest site. Remote Sensing of Environment, 94(2), 244-255.
46. Wang, Y., Kasischke, E. S., Melack, J. M., Davis, F. W., & Christensen, N. L. (1994). The effects of changes in loblolly pine biomass and soil moisture on ERS-1 SAR backscatter. Remote Sensing of Environment, 49, 25-31.
47. Watanabe, M., Shimada, M., Rosenqvist, A., Tadono, T., Matsuoka, M., Romshoo, A. A., Ohta, K., Furuta, R., Nakamura, K., & Moriyama, T. (2006). Forest structure dependency of the relation between L-band σ and biophysical parameters. IEEE Transactions on geosciences and remote sensing, 44(11), 3154-3165.
48. Xiao, X. M., Boles, S., Frolking, S., Li, C. S., Babu, J. Y., Salas, W., & Moore, B. (2006). Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images. Remote Sensing of Environment, 100(1), 95-113.