A hyperspectral experiment over tropical forests based on the EO-1 orbit change and PROSAIL simulation

References

• Adeline, K. R. M., X. Briottet, X. Ceamanos, T. Dartigalongue, and J. P. Gastellu-Etchegorry. 2018. “ICARE-VEG: A 3D Physics-based Atmospheric Correction Method for Tree Shadows in Urban Areas.” ISPRS Journal of Photogrammetry and Remote Sensing 142: 311–327. doi:10.1016/j.isprsjprs.2018.05.015.
   Web of Science ®Google Scholar
• Asner, G. P., R. E. Martin, C. B. Anderson, and D. E. Knapp. 2015. “Quantifying Forest Canopy Traits: Imaging Spectroscopy versus Field Survey.” Remote Sensing of Environment 158: 15–27. doi:10.1016/j.rse.2014.11.011.
   Web of Science ®Google Scholar
• Bhandari, S., S. Phinn, and T. Gill. 2011. “Assessing Viewing and Illumination Geometry Effects on the MODIS Vegetation Index (MOD13Q1) Time Series: Implications for Monitoring Phenology and Disturbances in Forest Communities in Queensland, Australia.” International Journal of Remote Sensing 32: 7513–7538. doi: 10.1080/01431161.2010.524675.
   Web of Science ®Google Scholar
• Blackburn, G. A. 1998. “Spectral Indices for Estimating Photosynthetic Pigment Concentrations: A Test Using Senescent Tree Leaves.” International Journal of Remote Sensing 19: 657–675. doi: 10.1080/014311698215919.
   Web of Science ®Google Scholar
• Cohen, J. 1988. Statistical Power Analysis for the Behavioral Sciences. 2nd Auflage ed. Hillsdale, NJ: Erlbaum.
   Google Scholar
• Cuba, N., D. Lawrence, J. Rogan, and C. A. Williams. 2018. “Local Variability in the Timing and Intensity of Tropical Dry Forest Deciduousness Is Explained by Differences in Forest Stand Age.” GIScience & Remote Sensing 55: 437–456. doi: 10.1080/15481603.2017.1403136.
   Web of Science ®Google Scholar
• de Moura, Y. M., L. S. Galvão, T. Hilker, J. Wu, S. Saleska, C. H. Do Amaral, B. W. Nelson, et al. 2017. “Spectral Analysis of Amazon Canopy Phenology during the Dry Season Using a Tower Hyperspectral Camera and MODIS Observations.” ISPRS Journal of Photogrammetry and Remote Sensing 131: 52–64. doi: 10.1016/j.isprsjprs.2017.07.006.
   Web of Science ®Google Scholar
• Epiphanio, J. N., and A. R. Huete. 1995. “Dependence of NDVI and SAVI on Sun/sensor Geometry and Its Effect on fAPAR Relationships in Alfalfa.” Remote Sensing of Environment 51: 351–360. doi: 10.1016/0034-4257(94)00110-9.
   Web of Science ®Google Scholar
• Fensholt, R., I. Sandholt, S. Stisen, and C. Tucker. 2006. “Vegetation Monitoring with the Geostationary Meteosat Second Generation SEVIRI Sensor.” Remote Sensing of Environment 101: 212–229. doi: 10.1016/j.rse.2005.11.013.
   Web of Science ®Google Scholar
• Franks, S., C. Neigh, P. K. Campbell, G. Sun, T. Yao, Q. Zhang, K. F. Huemmrich, E. M. Middleton, S. G. Ungar, and S. W. Frye. 2017. “EO-1 Data Quality and Sensor Stability with Changing Orbital Precession at the End of a 16 Year Mission.” Remote Sensing 9: 412. doi: 10.3390/rs9050412.
   PubMed Web of Science ®Google Scholar
• Galvão, L. S., F. M. Breunig, J. R. Dos Santos, and Y. M. de 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.
   Web of Science ®Google Scholar
• Galvao, L. S., F. M. Breunig, T. S. Teles, W. Gaida, and R. Balbinot. 2016. “Investigation of Terrain Illumination Effects on Vegetation Indices and VI-derived Phenological Metrics in Subtropical Deciduous Forests.” GIScience & Remote Sensing 53: 360–381. doi: 10.1080/15481603.2015.1134140.
   Web of Science ®Google Scholar
• Galvão, L. S., J. R. Dos Santos, D. A. Roberts, F. M. Breunig, M. Toomey, and Y. M. de 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.
   Web of Science ®Google Scholar
• Galvão, L. S., A. R. Formaggio, and D. A. Tisot. 2005. “Discrimination of Sugarcane Varieties in Southeastern Brazil with EO-1 Hyperion Data.” Remote Sensing of Environment 94: 523–534. doi: 10.1016/j.rse.2004.11.012.
   Web of Science ®Google Scholar
• Gamon, J. A., L. Serrano, and J. S. Surfus. 1997. “The Photochemical Reflectance Index: An Optical Indicator of Photosynthetic Radiation-use Efficiency across Species, Functional Types, and Nutrient Levels.” Oecologia 112: 492–501. doi: 10.1007/s004420050337.
   PubMed Web of Science ®Google Scholar
• Gao, B. 1996. “A Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water from Space.” Remote Sensing of Environment 58: 257–266. doi: 10.1016/S0034-4257(96)00067-3.
   Web of Science ®Google Scholar
• Gao, F., Y. Jin, C. B. Schaaf, and A. H. Strahler. 2002. “Bidirectional NDVI and Atmospherically Resistant BRDF Inversion for Vegetation Canopy.” IEEE Transactions on Geoscience and Remote Sensing 40: 1269–1278. doi: 10.1109/TGRS.2002.800241.
   Web of Science ®Google Scholar
• Gitelson, A. A., Y. J. Kaufman, R. Stark, and D. Rundquist. 2002. “Novel Algorithms for Remote Estimation of Vegetation Fraction.” Remote Sensing of Environment 80: 76–87. doi: 10.1016/S0034-4257(01)00289-9.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• Goodenough, D. G., A. Dyk, O. Niemann, J. S. Pearlman, H. Chen, and T. Han. 2003. “Processing Hyperion and ALI for Forest Classification.” IEEE Transactions on Geoscience and Remote Sensing 41: 1321–1331. doi: 10.1109/TGRS.2003.813214.
   Web of Science ®Google Scholar
• Goodin, D. G., J. Gao, and G. M. Henebry. 2004. “The Effect of Solar Illumination Angle and Sensor View Angle on Observed Patterns of Spatial Structure in Tallgrass Prairie.” IEEE Transactions on Geoscience and Remote Sensing 42: 154–165. doi: 10.1109/TGRS.2003.815674.
   Web of Science ®Google Scholar
• Gruninger, J., A. J. Ratkowski, and M. L. Hoke. 2004. “The Sequential Maximum Angle Convex Cone (SMACC) Endmember Model.” Proceedings of the Society of Photo-optical Instrumentation Engineers (SPIE) 5425: 1–14.
   Google Scholar
• Guanter, L., H. Kaufmann, K. Segl, S. Foerster, C. Rogass, S. Chabrillat, T. Küster, et al. 2015. “The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation”. Remote Sensing 7: 8830–8857. doi: 10.3390/rs70708830.
   Web of Science ®Google Scholar
• Hilker, T., L. S. Galvão, L. E. O. C. Aragão, Y. M. de Moura, C. H. Do Amaral, A. I. Lyapustin, W. Jin, et al. 2017. “Vegetation Chlorophyll Estimates in the Amazon from Multi-angle MODIS Observations and Canopy Reflectance Model.” International Journal of Applied Earth Observation and Geoinformation 58: 278–287. doi: 10.1016/j.jag.2017.01.014.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• Huete, A. R., G. Hua, J. Qi, A. Chehbouni, and W. J. D. van Leeuwen. 1992. “Normalization of Multidirectional Red and NIR Reflectance with the SAVI.” Remote Sensing of Environment 41: 143–154. doi: 10.1016/0034-4257(92)90074-T.
   Web of Science ®Google Scholar
• Hunt, E. R., and B. N. Rock. 1989. “Detection of Changes in Leaf-water Content Using near Infrared and Middle-infrared Reflectances.” Remote Sensing of Environment 30: 43–54. doi: 10.1016/0034-4257(89)90046-1.
   Web of Science ®Google Scholar
• Ishihara, M., Y. Inoue, K. Ono, M. Shimizu, and S. Matsuura. 2015. “The Impact of Sunlight Conditions on the Consistency of Vegetation Indices in Croplands—Effective Usage of Vegetation Indices from Continuous Ground-based Spectral Measurements.” Remote Sensing 7: 14079–14098. doi: 10.3390/rs71014079.
   Web of Science ®Google Scholar
• Jacquemoud, S., W. Verhoef, F. Baret, C. Bacour, P. J. Zarco-Tejada, G. P. Asner, C. François, and S. L. Ustin. 2009. “PROSPECT+SAIL Models: A Review of Use for Vegetation Characterization.” Remote Sensing of Environment 113 (S1): 56–66. doi: 10.1016/j.rse.2008.01.026.
   Google Scholar
• Jiang, Z. Y., A. R. Huete, K. Didan, and T. Miura. 2008. “Development of a Two-Band Enhanced Vegetation Index without a Blue Band.” Remote Sensing of Environment 112: 3833–3845. doi: 10.1016/j.rse.2008.06.006.
   Web of Science ®Google Scholar
• Kaufman, Y. J., D. Tanré, L. A. Remer, E. F. Vermote, A. Chu, and B. N. Holben. 1997. “Operational Remote Sensing of Tropospheric Aerosol over Land from EOS Moderate Resolution Imaging Spectroradiometer.” Journal of Geophysical Research 102: 17051–17067. doi: 10.1029/96JD03988.
   Web of Science ®Google Scholar
• Kokaly, R. F., G. P. Asner, S. V. Ollinger, M. E. Martin, and C. A. Wessman. 2009. “Characterizing Canopy Biochemistry from Imaging Spectroscopy and Its Application to Ecosystem Studies.” Remote Sensing of Environment 113: S78–S91. doi: 10.1016/j.rse.2008.10.018.
   Web of Science ®Google Scholar
• Kono, J., M. Quintino, B. Rudorff, and H. Carvalho. 2003. “The Amazon Rainforest Monitoring Satellite – SSR-1.” Acta Astronauta 52: 701–708. doi: 10.1016/S0094-5765(03)00040-7.
   Web of Science ®Google Scholar
• Kruse, F. A., A. B. Lefkoff, J. W. Boardman, K. B. Heidebrecht, A. T. Shapiro, P. J. Barloon, and A. F. H. Goetz. 1993. “The Spectral Image Processing System (sips)—Interactive Visualization and Analysis of Imaging Spectrometer Data.” Remote Sensing of Environment 44: 145–163. doi: 10.1016/0034-4257(93)90013-N.
   Web of Science ®Google Scholar
• Lindstrom, J., L. Eklundh, J. Holst, and U. Holst. 2006. “Influence of Solar Zenith Angles on Observed Trends in the NOAA/NASA 8-km Pathfinder Normalized Difference Vegetation Index over the African Sahel.” International Journal of Remote Sensing 27: 1973–1991. doi: 10.1080/01431160500380539.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• Merzlyak, M. N., A. A. Gitelson, O. B. Chivkunova, and V. Y. U. Rakitin. 1999. “Non-destructive Optical Detection of Pigment Changes during Leaf Senescence and Fruit Ripening.” Physiologia Plantarum 106: 135–141. doi: 10.1034/j.1399-3054.1999.106119.x.
   Web of Science ®Google Scholar
• Middleton, E. M. 1991. “Solar Zenith Angle Effects on Vegetation Indices in Tallgrass Prairie.” Remote Sensing of Environment 38: 45–62. doi: 10.1016/0034-4257(91)90071-D.
   Web of Science ®Google Scholar
• Middleton, E. M., K. F. Huemmrich, D. R. Landis, T. A. Black, A. G. Barr, and J. H. McCaughey. 2016. “Photosynthetic Efficiency of Northern Forest Ecosystems Using a MODIS-derived Photochemical Reflectance Index (PRI).” Remote Sensing of Environment 187: 345–366. doi: 10.1016/j.rse.2016.10.021.
   Web of Science ®Google Scholar
• Middleton, E. M., S. G. Ungar, D. J. Mandl, L. Ong, S. W. Frye, P. E. Campbell, D. R. Landis, J. P. Young, and N. H. Pollack. 2013. “The Earth Observing One (EO-1) Satellite Mission: Over a Decade in Space.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6: 243–256. doi: 10.1109/JSTARS.2013.2249496.
   Web of Science ®Google Scholar
• Nagol, J. R., J. O. Sexton, D. H. Kim, A. Anand, D. Morton, E. Vermote, and J. R. Townshend. 2015. “Bidirectional Effects in Landsat Reflectance Estimates: Is There a Problem to Solve?” ISPRS Journal of Photogrammetry and Remote Sensing 103: 129–135. doi: 10.1016/j.isprsjprs.2014.09.006.
   Web of Science ®Google Scholar
• Pearlman, J. S., P. S. Barry, C. C. Segal, J. Shepanski, D. Beiso, and S. L. Carman. 2003. “Hyperion, a Space-based Imaging Spectrometer.” IEEE Transactions on Geoscience and Remote Sensing 41: 1160–1173. doi: 10.1109/TGRS.2003.815018.
   Web of Science ®Google Scholar
• Peñuelas, J., F. Baret, and I. Filella. 1995. “Semiempirical Indexes to Assess Carotenoids Chlorophyll-a Ratio from Leaf Spectral Reflectance.” Photosynthetica 31: 221–230.
   Web of Science ®Google Scholar
• Peñuelas, J., J. Pinol, R. Ogaya, and I. Lilella. 1997. “Estimation of Plant Water Content by the Reflectance Water Index WI (R900/R970).” International Journal of Remote Sensing 18: 2869–2875. doi: 10.1080/014311697217396.
   Web of Science ®Google Scholar
• Privette, J. L., C. Fowler, G. A. Wick, D. Baldwin, and W. J. Emery. 1995. “Effects of Orbital Drift on Advanced Very High Resolution Radiometer Products: Normalized Difference Vegetation Index and Sea Surface Temperature.” Remote Sensing of Environment 53: 164–171. doi: 10.1016/0034-4257(95)00083-D.
   Web of Science ®Google Scholar
• Roberts, D. A., K. L. Roth, and R. L. Perroy. 2012. “Hyperspectral Vegetation Indices.” In Hyperspectral Remote Sensing of Vegetation, edited by P. S. Thenkabail, J. G. Lyon, and A. Huete, 309–327. Boca Raton, FL: CRC Press, Taylor and Francis Group.
   Google Scholar
• Roberts, D. A., M. O. Smith, and J. B. Adams. 1993. “Green Vegetation, Nonphotosynthetic Vegetation, and Soils in AVIRIS Data.” Remote Sensing of Environment 44: 255–269. doi: 10.1016/0034-4257(93)90020-X.
   Web of Science ®Google Scholar
• Ross, G. J. 2015. “Parametric and Nonparametric Sequential Change Detection in R: The Cpm Package.” Journal of Statistical Software 66: 1–20.
   Web of Science ®Google Scholar
• Rouse, J. W., R. H. Haas, J. A. Schell, and D. W. Deering. 1973. “Monitoring Vegetation Systems in the Great Plains with ERTS.” Paper presented at the Third ERTS-1 Symposium, Washington, DC, December 10–14. ( NASA SP-351, vol. 1, pp. 309–317).
   Google Scholar
• Tucker, C. J., J. E. Pinzon, M. E. Brown, D. A. Slayback, E. W. Pak, R. Mahoney, E. F. Vermote, and N. El Saleous. 2005. “An Extended AVHRR 8-km NDVI Dataset Compatible with MODIS and SPOT Vegetation NDVI Data.” International Journal of Remote Sensing 26: 4485–4498. doi: 10.1080/01431160500168686.
   Web of Science ®Google Scholar
• van der Meer, F. 2004. “Analysis of Spectral Absorption Features in Hyperspectral Imagery.” International Journal of Applied Earth Observation and Geoinformation 5 (1): 55–68. doi: 10.1016/j.jag.2003.09.001.
   Google Scholar
• 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.
   Web of Science ®Google Scholar
• Zhang, H. K., and D. P. Roy. 2016. “Landsat 5 Thematic Mapper Reflectance and NDVI 27-year Time Series Inconsistencies Due to Satellite Orbit Change.” Remote Sensing of Environment 186: 217–233. doi: 10.1016/j.rse.2016.08.022.
   Web of Science ®Google Scholar