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Original Articles

Investigation of terrain illumination effects on vegetation indices and VI-derived phenological metrics in subtropical deciduous forests

, , , &
Pages 360-381 | Received 15 Jul 2015, Accepted 17 Dec 2015, Published online: 17 Feb 2016

References

  • Anderson, L. O., L. Aragão, Y. E. Shimabukuro, S. Almeida, and A. Huete. 2011. “Fraction Images for Monitoring Intra-Annual Phenology of Different Vegetation Physiognomies in Amazonia.” International Journal of Remote Sensing 32: 387–408. doi:10.1080/01431160903474921.
  • Balthazar, V., V. Vanacker, and E. F. Lambin. 2012. “Evaluation and Parameterization of ATCOR3 Topographic Correction Method for Forest Cover Mapping in Mountain Areas.” International Journal of Applied Earth Observation and Geoinformation 18: 436–450. doi:10.1016/j.jag.2012.03.010.
  • Brack, P., R. M. Bueno, M. R. C. D. B. Falkenberg, M. R. C. Paiva, M. Sobral, and J. R. Stehmann. 1985. “Levantamento florístico do Parque Estadual do Turvo, Tenente Portela, Rio Grande do Sul, Brasil.” Roessléria 7: 69–94.
  • Breunig, F. M., L. S. Galvão, J. R. Santos, A. A. Gitelson, Y. M. Moura, T. S. Teles, and W. Gaida. 2015. “Spectral Anisotropy of Subtropical Deciduous Forest Using MISR and MODIS Data Acquired under Large Seasonal Variation in Solar Zenith Angle.” International Journal of Applied Earth Observation and Geoinformation 35: 294–304. doi:10.1016/j.jag.2014.09.017.
  • Burgess, D. W., P. Lewis, and J.-P. A. L. Muller. 1995. “Topographic Effects in AVHRR NDVI Data.” Remote Sensing of Environment 54: 223–232. doi:10.1016/0034-4257(95)00155-7.
  • Combal, B., and H. Isaka. 2002. “The Effect of Small Topographic Variations on Reflectance.” IEEE Transactions on Geoscience and Remote Sensing 40: 663–670. doi:10.1109/TGRS.2002.1000325.
  • Du, J., Z. He, J. Yang, L. Chen, and X. Zhu. 2014. “Detecting the Effects of Climate Change on Canopy Phenology in Coniferous Forests in Semi-Arid Mountain Regions of China.” International Journal of Remote Sensing 35: 6490–6507. doi:10.1080/01431161.2014.955146.
  • Dwyer, J., and G. Schmidt. 2006. “The MODIS Reprojection Tool.” In Earth Science Satellite Remote Sensing, Eds. J. J. Qu, W. Gao, M. Kafatos, R. E. Murphy, and V. V. Salomonson, 162–177. Berlin, Heidelberg: Springer.
  • Ediriweera, S., S. Pathirana, T. Danaher, D. Nichols, and T. Moffiet. 2013. “Evaluation of Different Topographic Corrections for Landsat TM Data by Prediction of Foliage Projective Cover (FPC) in Topographically Complex Landscapes.” Remote Sensing 5: 6767–6789. doi:10.3390/rs5126767.
  • Exelis Visual Information Solutions. 2013. “Environment for Visualizing Images (ENVI).” Version 5.0.
  • Franco, A. M. S. 2008. “Estrutura, diversidade e aspectos ecológicos do componente arbustivo e arbóreo em uma floresta estacional, Parque estadual do Turvo, Sul do Brasil.” PhD diss., Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil. 82 p.
  • Galvão, L. S., F. M. Breunig, J. R. Santos, and Y. M. Moura. 2013. “View-Illumination Effects on Hyperspectral Vegetation Indices in the Amazonian Tropical Forest.” International Journal of Applied Earth Observation and Geoinformation 21: 291–300. doi:10.1016/j.jag.2012.07.005.
  • Galvão, L. S., J. R. Santos, D. A. Roberts, F. M. Breunig, M. Toomey, and Y. M. Moura. 2011. “On Intra-Annual EVI Variability in the Dry Season of Tropical Forest: A Case Study with MODIS and Hyperspectral Data.” Remote Sensing of Environment 115: 2350–2359. doi:10.1016/j.rse.2011.04.035.
  • Gao, Y., and W. Zhang. 2009. “A Simple Empirical Topographic Correction Method for ETM+ Imagery.” International Journal of Remote Sensing 30: 2259–2275. doi:10.1080/01431160802549336.
  • Gil, M. L., M. Arza, J. Ortiz, and A. Avila. 2014. “DEM Shading Method for the Correction of Pseudoscopic Effect on Multi-Platform Satellite Imagery.” GIScience & Remote Sensing 51: 630–643. doi:10.1080/15481603.2014.988433.
  • Gitelson, A. A., M. N. Merzlyak, and H. K. Lichtenthaler. 1996. “Detection of Red Edge Position and Chlorophyll Content by Reflectance Measurements near 700 Nm.” Journal of Plant Physiology 148: 501–508. doi:10.1016/S0176-1617(96)80285-9.
  • Goslee, S. C. 2012. “Topographic Corrections of Satellite Data for Regional Monitoring.” Photogrammetric Engineering & Remote Sensing 78: 973–981. doi:10.14358/PERS.78.9.973.
  • Guadagnin, D. L. 1994. “Zonificación del Parque Estadual do Turvo, RS, Brasil, y direc-tivas para el plan de manejo.” Master Thesis. Universidad Nacional de Córdoba, Córdoba, Argentina (in Spanish).
  • Hantson, S., and E. Chuvieco. 2011. “Evaluation of Different Topographic Correction Methods for Landsat Imagery.” International Journal of Applied Earth Observation and Geoinformation 13: 691–700. doi:10.1016/j.jag.2011.05.001.
  • Hird, J., and G. J. Mcdermid. 2009. “Noise Reduction of NDVI Time-Series: An Empirical Comparison of Selected Techniques.” Remote Sensing of Environment 113: 248–258. doi:10.1016/j.rse.2008.09.003.
  • Hmimina, G., E. Dufrene, J. Y. Pontailler, N. Delpierre, M. Aubinet, B. Caquet, and A. Grandcourt, et al. 2013. “Evaluation of the Potential of MODIS Satellite Data to Predict Vegetation Phenology in Different Biomes: An Investigation Using Ground-Based NDVI Measurements.” Remote Sensing of Environment 132: 145–158. doi:10.1016/j.rse.2013.01.010.
  • Huang, W., L. P. Zhang, S. Furumi, K. Muramatsu, M. Daigo, and P. X. Li. 2010. “Topographic Effects on Estimating Net Primary Productivity of Green Coniferous Forest in Complex Terrain Using Landsat Data: A Case Study of Yoshino Mountain, Japan.” International Journal of Remote Sensing 31: 2941–2957. doi:10.1080/01431160903140829.
  • 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:10.1016/S0034-4257(02)00096-2.
  • Jönsson, P., and L. Eklundh. 2004. “TIMESAT – A Program for Analyzing Time-Series of Satellite Sensor Data.” Computers & Geosciences 30: 833–845. doi:10.1016/j.cageo.2004.05.006.
  • Jönsson, P., and L. Eklundh. 2012. TIMESAT 3.1 - Software Manual, 82. Lund: Lund University. http://www.nateko.lu.se/timesat.
  • Kross, A., H. McNairn, D. Lapen, M. Sunohara, and C. Champagne. 2015. “Assessment of Rapideye Vegetation Indices for Estimation of Leaf Area Index and Biomass in Corn and Soybean Crops.” International Journal of Applied Earth Observation and Geoinformation 34: 235–248. doi:10.1016/j.jag.2014.08.002.
  • Lambert, J., C. Drenou, J. P. Denux, G. Balent, and V. Cheret. 2013. “Monitoring Forest Decline through Remote Sensing Time Series Analysis.” GIScience & Remote Sensing 50: 437–457.
  • Li, M., J. Im, and C. Beier. 2013. “Machine Learning Approaches for Forest Classification and Change Analysis Using Multi-Temporal Landsat TM Images over Huntington Wildlife Forest.” GIScience & Remote Sensing 50: 361–384.
  • Liang, L., M. D. Schwartz, and S. Fei. 2011. “Validating Satellite Phenology through Intensive Ground Observation and Landscape Scaling in a Mixed Seasonal Forest.” Remote Sensing of Environment 115: 143–157. doi:10.1016/j.rse.2010.08.013.
  • Maeda, E. E., and L. S. Galvão. 2015. “Sun-Sensor Geometry Effects on Vegetation Index Anomalies in the Amazon Rainforest.” GIScience & Remote Sensing 52: 332–343. doi:10.1080/15481603.2015.1038428.
  • Matsushita, B., W. Yang, J. Chen, Y. Onda, and G. Qiu. 2007. “Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to Topographic Effects: A Case Study in High-Density Cypress Forest.” Sensors 7: 2636–2651. doi:10.3390/s7112636.
  • Moreira, E. P., and M. M. Valeriano. 2014. “Application and Evaluation of Topographic Correction Methods to Improve Land Cover Mapping Using Object-Based Classification.” International Journal of Applied Earth Observation and Geoinformation 32: 208–217. doi:10.1016/j.jag.2014.04.006.
  • Morton, D. C., J. Nagol, C. C. Carabajal, J. Rosette, M. Palace, B. D. Cook, E. F. Vermote, D. J. Harding, and P. R. J. North. 2014. “Amazon Forests Maintain Consistent Canopy Structure and Greenness during the Dry Season.” Nature 506: 221–224. doi:10.1038/nature13006.
  • Moura, Y. M., L. S. Galvão, J. R. Santos, D. A. Roberts, and F. M. Breunig. 2012. “Use of MISR/Terra Data to Study Intra- and Inter-Annual EVI Variations in the Dry Season of Tropical Forest.” Remote Sensing of Environment 127: 260–270. doi:10.1016/j.rse.2012.09.013.
  • Myneni, R. B., S. Hoffman, Y. Knyazikhin, J. L. Privette, J. Glassy, Y. Tian, and Y. Wang, et al. 2002. “Global Products of Vegetation Leaf Area and Fraction Absorbed PAR from Year One of MODIS Data.” Remote Sensing of Environment 83: 214–231. doi:10.1016/S0034-4257(02)00074-3.
  • Peng, Y., A. A. Gitelson, and T. Sakamoto. 2013. “Remote Estimation of Gross Primary Productivity in Crops Using MODIS 250 M Data.” Remote Sensing of Environment 128: 186–196. doi:10.1016/j.rse.2012.10.005.
  • Ponzoni, F. J., C. B. Silva, S. B. Santos, O. C. Montanher, and T. B. Santos. 2014. “Local Illumination Influence on Vegetation Indices and Plant Area Index (PAI) Relationships.” Remote Sensing 6: 6266–6282. doi:10.3390/rs6076266.
  • Reese, H., and H. Olsson. 2011. “C-Correction of Optical Satellite Data over Alpine Vegetation Areas: A Comparison of Sampling Strategies for Determining the Empirical C-Parameter.” Remote Sensing of Environment 115: 1387–1400. doi:10.1016/j.rse.2011.01.019.
  • Richter, R., T. Kellenberger, and H. Kaufmann. 2009. “Comparison of Topographic Correction Methods.” Remote Sensing 1: 184–196. doi:10.3390/rs1030184.
  • Ruschel, A. R., R. O. Nodari, and B. M. Moerschbacher. 2007. “Woody Plant Species Richness in the Turvo State Park, a Large Remnant of Deciduous Atlantic Forest, Brazil.” Biodiversity and Conservation 16: 1699–1714. doi:10.1007/s10531-006-9044-7.
  • Soenen, S. A., D. R. Peddle, C. A. Coburn, R. J. Hall, and F. G. Hall. 2008. “Improved Topographic Correction of Forest Image Data Using a 3-D Canopy Reflectance Model in Multiple Forward Mode.” International Journal of Remote Sensing 29: 1007–1027. doi:10.1080/01431160701311291.
  • Solano, R., K. Didan, A. Jacobson, and A. Huete. 2010. MODIS Vegetation Indices (MOD13) C5 - User’s Guide, 38. Tucson: The University of Arizona.
  • Song, C., and C. Woodcock. 2003. “Monitoring Forest Succession with Multitemporal Landsat Images: Factors of Uncertainty.” IEEE Transactions on Geoscience and Remote Sensing 41: 2557–2567. doi:10.1109/TGRS.2003.818367.
  • Soudani, K., G. Hmimina, N. Delpierre, J.-Y. Pontailler, M. Aubinet, D. Bonal, B. Caquet, et al. 2012. “Ground-Based Network of NDVI Measurements for Tracking Temporal Dynamics of Canopy Structure and Vegetation Phenology in Different Biomes.” Remote Sensing of Environment 123: 234–245. doi:10.1016/j.rse.2012.03.012.
  • Tan, B., J. Hu, D. Huang, W. Yang, P. Zhang, N. V. Shabanov, Y. Knyazikhin, R. R. Nemani, and R. B. Myneni. 2005. “Assessment of the Broadleaf Crops Leaf Area Index Product from the Terra MODIS Instrument.” Agricultural and Forest Meteorology 135: 124–134. doi:10.1016/j.agrformet.2005.10.008.
  • Teillet, P. M., B. Guindon, and D. G. Goodenough. 1982. “On the Slope-Aspect Correction of Multispectral Scanner Data.” Canadian Journal of Remote Sensing 8: 84–106. doi:10.1080/07038992.1982.10855028.
  • Tyc, G., J. Tulip, D. Schulten, M. Krischke, and M. Oxfort. 2005. “The Rapideye Mission Design.” Acta Astronautica 56: 213–219. doi:10.1016/j.actaastro.2004.09.029.
  • Veraverbeke, S., W. W. Verstraeten, S. Lhermitte, and R. Goossens. 2010. “Illumination Effects on the Differenced Normalized Burn Ratio’s Optimality for Assessing Fire Severity.” International Journal of Applied Earth Observation and Geoinformation 12: 60–70. doi:10.1016/j.jag.2009.10.004.
  • Verbyla, D., E. Kasischke, and E. Hoy. 2008. “Seasonal and Topographic Effects on Estimating Fire Severity from Landsat TM/ETM+ Data.” International Journal of Wildland Fire 17: 527–534. doi:10.1071/WF08038.
  • Verrelst, J., M. E. Schaepman, B. Koetz, and M. Kneubuehler. 2008. “Angular Sensitivity Analysis of Vegetation Indices Derived from CHRIS/PROBA Data.” Remote Sensing of Environment 112: 2341–2353. doi:10.1016/j.rse.2007.11.001.
  • Wu, J., M. E. Bauer, D. Wang, and S. M. Manson. 2008. “A Comparison of Illumination Geometry-Based Methods for Topographic Correction of Quickbird Images of an Undulant Area.” ISPRS Journal of Photogrammetry and Remote Sensing 63: 223–236. doi:10.1016/j.isprsjprs.2007.08.004.
  • Yuan, F., C. Z. Wang, and M. Mitchell. 2014. “Spatial Patterns of Land Surface Phenology Relative to Monthly Climate Variations: US Great Plains.” GIScience & Remote Sensing 51: 30–50. doi:10.1080/15481603.2014.883210.
  • Zhang, X., M. A. Friedl, C. B. Schaaf, A. H. Strahler, J. C. F. Hodge, C. Gao, B. C. Reed, and A. Huete. 2003. “Monitoring Vegetation Phenology Using MODIS.” Remote Sensing of Environment 84: 471–475. doi:10.1016/S0034-4257(02)00135-9.
  • Zhang, Y., G. Yan, and Y. Bai. 2015. “Sensitivity of Topographic Correction to the DEM Spatial Scale.” IEEE Geoscience and Remote Sensing Letters 12: 53–57. doi:10.1109/LGRS.2014.2326000.

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