Estimation of Forest LAI in Close Canopy Situation Using Optical Remote Sensing Data |
Lee, Kyu-Sung
(Inha University, Dept. of Geoinformatic Engineering)
Kim, Sun-Hwa (Inha University, Dept. of Geoinformatic Engineering) Park, Ji-Hoon (Inha University, Dept. of Geoinformatic Engineering) Kim, Tae-Geun (Inha University, Dept. of Geoinformatic Engineering) Park, Yun-Il (Inha University, Dept. of Geoinformatic Engineering) Woo, Chung-Sik (Inha University, Dept. of Geoinformatic Engineering) |
1 | Badhwar, G. D., R. B. MacDonald, and N. C. Mehta, 1986. Satellite-derived leaf area index and vegetation maps as input to global carbon cycle models - a hierarchical approach. International Journal of Remote Sensing, 7(2): 265-281 DOI ScienceOn |
2 | Curran, P. J., J. Dungan, and H. L. Gholz, 1992. Seasonal LAI measurements in slash pine using Landsat TM. Remote Sensing of Environment, 39: 3-13 DOI ScienceOn |
3 | Gower, S., C. Kucharik, and J. Norman, 1999. Direct and indirect estimation of leaf area index, fAPAR, and net primary production of terrestrial ecosystems. Remote Sensing of Environment, 70: 29-51 DOI ScienceOn |
4 | Peddle, D. R., F. R. Hall, and E. F. LeDrew, 1999. Spectral mixture analysis and geometricoptical reflectance modeling of boreal forest biophysical structure. Remote Sensing of Environment, 67: 288-297 DOI ScienceOn |
5 | Peterson, D. L., M. A. Spanner, S. W. Running, and K. Teuber, 1987. Relationship of Thematic Mapper data to leaf area index of temperate coniferous forests. Remote Sensing of Environment, 22: 323-341 DOI ScienceOn |
6 | Brown, L., J. Chen, S. Leblanc, and J. Cihlar, 2000. A shortwave infrared modification to the simple ratio for LAI retrieval in boreal forests: an image and model analysis. Remote Sensing of Environment, 71: 16-25 DOI ScienceOn |
7 | Teillet, P. M., K. Staenz, and D. J. Williams, 1997. Effects of spectral, spatial, and radiometric characteristics on remote sensing vegetation indices of forested regions. Remote Sensing of Environment, 61: 139-149 DOI ScienceOn |
8 | Nemani, R. R., L. Pierce, S. Running, and L. Band, 1993. Forest ecosystem processes at the watershed scale: Sensitivity to remotelysensed leaf area index estimates. International Journal of Remote Sensing, 14: 2519-2534 DOI ScienceOn |
9 | Bonan, G., 1993. Importance of leaf area index and forest type when estimating photosynthesis in boreal forests. Remote Sensing of Environment, 43: 303-314 DOI ScienceOn |
10 | Turner, D., W. Cohen, R. Kennedy, K. Fassnacht, and J. Briggs, 1999. Relationships between leaf area index and Landsat TM spectral vegetation indices across three temperate zone sites. Remote Sensing of Environment, 70: 52-68 DOI ScienceOn |
11 | Lee, K. S., S. H. Kim, Y. I. Park, and K. C. Jang, 2003. Generation of Forest Leaf Area Index (LAI) Map Using Multispectral Satellite Data and Field Measurements. Korean Journal of Remote Sensing, 19(5): 371-380 DOI |
12 | Lee, K. S., W. B. Cohen, R. E. Kennedy, T. K. Maiersperger, and S. T. Gower, 2004. Hyperspectral Versus Multispectral Data for Estimating Leaf Area Index in Four Different Biome. Remote Sensing of Environment, 91: 508-520 DOI ScienceOn |
13 | Cohen, W. B., T. K. Maiersperger, Z. Yang, S. T. Gower, D. P. Turner, W. D. Ritts, M. Berterretche, and S. W. Running, 2003. Comparisons of Land Cover and LAI Estimates Derived from ETM+ and MODIS for Four Sites in North America: A Quality Assessment of 2000/2001 Provisional MODIS Products. Remote Sensing of Environment, 88: 233-255 DOI ScienceOn |
14 | Lefsky, M., W. Cohen, and T. Spies, 2001. An evaluation of alternative remote sensing products for forest inventory, monitoring, and mapping of Douglasfir forests in western Oregon. Canadian Journal of Forest Research, 31: 78-87 DOI |
15 | Pierce, L. L. and S. W. Running, 1988. Rapid estimation of coniferous forest leaf area index using a portable integrating radiometer. Ecology, 69: 1762-1767 DOI ScienceOn |
16 | Chen, J. M. and J. Cihlar. 1996. Retrieving leaf area index of boreal conifer forests using Landsat TM images. Remote Sensing of Environment, 55: 153-162 DOI ScienceOn |