Abstract
Forest ecosystem parameters related to the amount of evapotranspiration and rain interception are key elements to successful hydrological modeling. Thus, we evaluated ASTER (Advanced Spaceborne Thermal Emission and Reflection radiometer) reflectance bands and optical indices for qualitative and quantitative estimation of various characteristics of tropical seasonal forests. Ground conditions were measured in 14 sites in Kampong Thom Province, Cambodia, representing six major tropical seasonal forest types: dry evergreen forest, mixed evergreen-deciduous forest, dry deciduous forest, regrowth of dry evergreen forest, moist evergreen forest, and swamp forest. We performed a discriminant analysis to classify forest types using ASTER reflectance bands and optical indices. We used Visible and near infrared Radiometer (VNIR) and Shortwave Length Infrared Radiometer (SWIR) surface reflectance, four vegetation indices: NDVI (Normalized Difference Vegetation Index); SR (Simple Ratio); DVI (Difference Vegetation Index), and MSAVI2 (Second Modified Soil Adjustment Vegetation Index), and three water content indices: SRWI (Simple Ratio Water Index); NDWI (Normalized Difference Water Index); and LWCI (Leaf Water Content Index), for the discriminant analysis. ASTER image products were acquired on January 12, 2002 in the dry season. We also performed regression analyses to identify an optical index closely correlated with forest qualitative characteristics such as tree density, tree height, basal area, and leaf area index (LAI). Each forest type showed a distinctive pattern in reflectance bands, demonstrating that satellite images can potentially be used for regional forest type classification.
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References
Aber JD, Federer CA (1992) A generalized, lumped-parameter model of photosynthesis, evapotranspiration and net primary production in temperate and boreal forest ecosystems. Oecologia (Berl) 92:463–474
Anasawa M, Sawada H (2001) Moisture environmental map using leaf water content index (LWCI) (in Japanese). Water Sci 257:1–22
Cohen WB, Maiersperger TK, Gower ST, Turner DP (2003) An improved strategy for regression of biophysical variables and Landsat ETM+ data. Remote Sens Environ 84:561–571
Engel VC, Stieglitz M, Williams M, Griffin KL (2002) Forest canopy hydraulic properties and catchment water balance: observations and modeling. Ecol Model 154:263–288
Gao BC (1996) NDWI: a normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sens Environ 58:257–266
Hiramatsu R, Kanzaki M, Toriyama J, Kaneko T, Okuda Y, Ohta S, Khorn S, Pith P, Lim S, Pol S, Ito E, Araki M (2007) Open woodland patches in an evergreen forest of Kampong Thom, Cambodia: correlation of structure and composition with microtopography. In: Sawada H, Araki M, Chappell NA, LaFrankie JV, Shimizu A (eds) Forest Environments in the Mekong River Basin. Springer, Tokyo, 222–230
Hunt ER Jr, Rock BN, Nobel PS (1987) Measurement of leaf relative water content by infrared reflectance. Remote Sens Environ 22:429–435
Ito E, Khorn S, Lim S, Pol S, Tith B, Pith P, Tani A, Kanzaki M, Kaneko T, Okuda Y, Kabeya N, Nobuhiro T, Araki M (2007) Comparison of the leaf area index (LAI) of two types of dipterocarp forest on the West Bank of the Mekong River, Cambodia. In: Sawada H, Araki M, Chappell NA, LaFrankie JV, Shimizu A (eds) Forest Environments in the Mekong River Basin. Springer, Tokyo, 214–221
Jordan CF (1969) Derivation of leaf area index from quality of light on the forest floor. Ecology 50:663–666
Kang S, Lee D, Kimball JS (2004) The effects of spatial aggregation of complex topography on hydroecological process simulations within a rugged forest landscape: development and application of a satellite-based topoclimatic model. Can J For Res 34:519–530
Landsberg JJ, Gower ST (1997) Applications of physiological ecology to forest management. Academic Press, San Diego
Lillesand TS, Kiefer RW, Chipman JW (2004) Remote sensing and image interpretation, 5th edn. Wiley, New York
Mo X, Liu S, Lin Z, Zhao W (2004) Simulating temporal and spatial variation of evapotranspiration over the Lushi basin. J Hydrol 285:125–142
Qi J, Chehbouni A, Huete AR, Kerr YH, Sorooshian S (1994) A modified soil adjusted vegetation index. Remote Sens Environ 48:119–126
Richardson AJ, Everitt JH (1992) Using spectral vegetation indices to estimate rangeland productivity. Geocartogr Int 1:63–69
Rouse JW, Haas RH, Schell JA, Deering DW (1974) Monitoring vegetation systems in the Great Plains with ERTS. Publication SP-351. NASA, Greenbelt, MD
Running SW, Coughlan JC (1988) A general-model of forest ecosystem processes for regional applications. I. Hydrologic balance, canopy gas-exchange and primary production processes. Ecol Model 42:125–154
Tanaka K, Takizawa H, Tanaka N, Kosaka I, Yoshifuji N, Tantasirin C, Piman S, Suzuki M, Tangtham N (2003) Transpiration peak over a hill evergreen forest in northern Thailand in the late dry season: assessing the seasonal changes in evapotranspiration using a multilayer model. J Geophys Res 108: D17, 4533, doi:10.1029/2002JD003028
Tani A, Ito E, Kanzaki M, Ohta S, Khorn S, Pith P, Tith B, Pol S, Lim S (2007) Principal forest types of three regions of Cambodia: Kampong Thom, Kratie, and Mondolkiri. In: Sawada H, Araki M, Chappell NA, LaFrankie JV, Shimizu A (eds) Forest Environments in the Mekong River Basin. Springer, Tokyo, pp 201–213
Toriyama J, Ohta S, Araki M, Kanzaki M, Khorn S, Pith P, Lim S, Pol S (2007) Soils under different forest types in the dry evergreen forest zone of Cambodia: morphology, physicochemical properties and classification. In: Sawada H, Araki M, Chappell NA, LaFrankie JV, Shimizu A (eds) Forest Environments in the Mekong River Basin. Springer, Tokyo, 241–253
Wang Q, Adiku S, Tenhunen J, Granier A (2005) On the relationship of NDVI with leaf area index in a deciduous forest site. Remote Sens Environ 94:244–255
Yamazaki T, Yabuki H, Ishii Y, Ohta T, Ohata T (2004) Water and energy exchanges at forests and a grassland in eastern Siberia evaluated using a one-dimensional land surface model. J Hydrometeorol 5:504–515
Zarco-Tejada PJ, Rueda CA, Ustin SL (2003) Water content estimation in vegetation with MODIS reflectance data and model inversion methods. Remote Sens Environ 85:109–124
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Ito, E. et al. (2007). Use of ASTER Optical Indices to Estimate Spatial Variation in Tropical Seasonal Forests on the West Bank of the Mekong River, Cambodia. In: Sawada, H., Araki, M., Chappell, N.A., LaFrankie, J.V., Shimizu, A. (eds) Forest Environments in the Mekong River Basin. Springer, Tokyo. https://doi.org/10.1007/978-4-431-46503-4_21
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DOI: https://doi.org/10.1007/978-4-431-46503-4_21
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-46500-3
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