Comparing LAI Estimates of Corn and Soybean from Vegetation Indices of Multi-resolution Satellite Images |
Kim, Sun-Hwa
(National Academy of Agricultural Science, Rural Development Administration (RDA))
Hong, Suk Young (National Academy of Agricultural Science, Rural Development Administration (RDA)) Sudduth, Kenneth A. (Cropping Systems and Water Quality Research Unit, USDA-ARS) Kim, Yihyun (National Academy of Agricultural Science, Rural Development Administration (RDA)) Lee, Kyungdo (National Academy of Agricultural Science, Rural Development Administration (RDA)) |
1 | Jongschaap, R.E.E., 2006. Run-time calibration of simulation models by integrating remote sensing estimates of leaf area index and canopy nitrogen, European Journal of Agronomy, 24: 328-336. |
2 | Kim, S.H. and K.S. Lee, 2003. Local validation of MODIS global Leaf Area Index (LAI) product over temperate forest, Korean Journal of Remote Sensing, 19(1): 1-9. 과학기술학회마을 DOI |
3 | Kitchen, N.R., Sudduth, K.A., and Drummond, S.T., 1999. Soil electrical conductivity as a crop productivity measure for claypan soils, Journal of Production Agriculture, 12: 607- 617. DOI ScienceOn |
4 | Launay, M. and M. Guerif, 2005. Assimilating remote sensing data into a crop model to improve predictive performance for spatial applications, Agriculture, Ecosystems & Environment, 111: 321-339. DOI |
5 | Lee, J.H., J. Goudriaan, and H. Challa, 2003. Using the expolinear growth equation for modelling crop growth in year-round cut chrysanthemum, Annals of Botany, 92: 697-708. DOI ScienceOn |
6 | Lee, K.S., S.H. Kim, J.H. Park, T.G. Kim, Y.I. Park, and C.S. Woo, 2006. Estimation of forest LAI in close canopy situation using optical remote sensing data, Korean Journal of Remote Sensing, 22(5): 305-311. 과학기술학회마을 DOI |
7 | Mahiny, A.S. and B.J. Turner, 2007. A comparison of four common atmospheric correction methods, Photogrammetric Engineering and Remote Sensing, 73(4): 361-368. DOI |
8 | Pagnutti, M., R.E. Ryan, M. Kelly, K. Holekamp, V. Zanoni, K. Thome, and S. Schiller, 2003. Radiometric characterization of IKONOS multispectral imagery, Remote Sensing of Environment, 88: 53-68. DOI |
9 | Anderson, M.C., C.M.U. Neale, F. Li, J.M. Norman, W.P. Kustas, H. Jayanthi, and J. Chavez, 2004. Upscaling ground observations of vegetation water content, canopy height, and leaf area index during SMEX02 using aircraft and Landsat imagery, Remote Sensing of Environment, 92: 447-464. DOI ScienceOn |
10 | Baret, F. and G. Guyot, 1991. Potentials and limits of vegetation indices for LAI and aFAR assessment, Remote Sensing of Environment, 35: 161-173. DOI |
11 | Breunig, F.M., L.S. Galvao, A.R. Formaggio, and J.C.N. Epiphanio, 2011. Directional effects on NDVI and LAI retrievals from MODIS: A case study in Brazil with soybean, International Journal of Applied Earth Observation and Geoinformation, 13: 34-42. DOI |
12 | Chander, G., B.L. Markham, and J.A. Barsi, 2007. Revised Landsat-5 Thematic Mapper radiometric calibration, IEEE Geoscience and Remote Sensing Letters, 4(3): 490-494. DOI |
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 | 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 |
15 | Dial, G., H. Bowen, F. Gerlach, J. Grodecki, and R. Oleszczuk, 2003. IKONOS satellite, imagery, and products, Remote Sensing of Environment, 88: 23-36. DOI ScienceOn |
16 | Doraiswamy, P.C., T.R. Sinclair, S. Hollinger, B. Akhmedov, A. Stern, and J. Prueger, 2005. Application of MODIS derived parameters for regional crop yield assessment, Remote Sensing of Environment, 97: 192-202. DOI |
17 | Thenkabail, P.S., R.B. Smith, and E. De Pauw, 2000. Hyperspectral vegetation indices for determining agricultural crop characteristics, Remote Sensing of Environment, 71: 158-182. DOI ScienceOn |
18 | 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 |
19 | Potithep, S., N.K. Nasahara, H. Muraoka, S. Nagai, R. Suzuki, 2010. What is the actual relationship between LAI and VI in a deciduous broadleaf forest?, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, 11152(8): 609-614. |
20 | Tagesson, T., 2006. Indirect estimations and spatial variation in Leaf Area Index of coniferous, deciduous and mixed forest stands in Forsmark and Laxemar, SKB TR-06-29 (Stockholm:Swedish Nuclear Fuel and Waste Management Co.). |
21 | 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 temperature zone sites, Remote Sensing of Environment, 70: 52-68. DOI |
22 | Wang, Q., S. Adiku, J. Tenhunen, and A. Granier, 2005. On the relationship of NDVI with leaf area index in a deciduous forest site, Remote Sensing of Environment, 94: 244-255. DOI |
23 | Wardlow, B.D., S.L. Egbert, and J.H. Kastens, 2007. Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains, Remote Sensing of Environment, 108: 290-310. DOI |
24 | Watson, D.J., 1947. Comparative physiological studies on the growth of field crops: I. Variation in net assimilation rate and leaf area between species and varieties, and with and between years. Annual. Botany, (N.S.), 11: 41-76. DOI |
25 | Hong, S.Y., K.A. Sudduth, N.R. Kitchen, C.W. Fraisse, H.L. Palm, and W.J. Wiebold, 2004. Comparison of remote sensing and crop growth models for estimating within-field LAI variability, Korean Journal of Remote Sensing, 20(3): 175-188. 과학기술학회마을 DOI |
26 | Fraisse, C.W., K.A. Sudduth, N.R. Kitchen, 2001. Calibration of the ceres-maize model for simulating site-specific crop development and yield on claypan soils, Applied Engineering in Agriculture. 17(4): 547-556. |
27 | Gonzalez-Sanpedro, M.C., T.L. Toan, J. Moreno, L. Kergoat, and E. Rubio, 2008. Seasonal variations of leaf area index of agricultural fields retrieved from Landsat data, Remote Sensing of Environment, 112: 810-824. DOI |
28 | Hatfield, J.L., C.D. Stanley, and R.E. Carlson, 1976. Evaluation of an electronic foliometer to measure leaf area in corn and soybean, Agronomy Journal, 68: 434-436. DOI |
29 | Huete, A., C. Justice, and H. Liu, 1994. Development of vegetation and soil indices for MODISEOS, Remote Sensing of Environment, 49: 224-234. DOI |
30 | Huete, A., K. Didan, T. Miura, E.P. Rodriguez, X. Gao, and L.G. Ferreira, 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sensing of Environment, 83: 195-213. DOI ScienceOn |
31 | Iowa State University of Science and Technology Cooperative Extension Service, 1997a. How a corn plant develops, Special Report No. 48. |
32 | Iowa State University of Science and Technology Cooperative Extension Service, 1997b. How a soybean plant develops, Special Report No. 53. |
33 | Jensen, J.R., 2000. Remote sensing of the environment; An earth resource perspective, Prentice Hall, p.197 |
34 | Zheng, G. and L.M. Moskal, 2009. Retrieving leaf area index (LAI) using remote sensing: Theories, methods and sensors, Sensors, 9: 2719-2745. DOI |
35 | Wiegand, C.L., A.J. Richardson, D.E. Escobar, and A.H. Gerbermann, 1991. Vegetation indices in crop assessments, Remote Sensing of Environment, 35: 105-119. DOI |
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