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GIScience & Remote Sensing Volume 61, 2024 - Issue 1
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Research Article

Coupled effects of solar illumination and phenology on vegetation index determination: an analysis over the Amazonian forests using the SuperDove satellite constellation

Lênio Soares Galvãoa Divisão de Observação da Terra e Geoinformática (DIOTG), Instituto Nacional de Pesquisas Espaciais (INPE), São José dos Campos, BrazilCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-8313-0497View further author information
ORCID Icon,
Caio Arlanche Petria Divisão de Observação da Terra e Geoinformática (DIOTG), Instituto Nacional de Pesquisas Espaciais (INPE), São José dos Campos, BrazilORCID Iconhttps://orcid.org/0000-0001-5221-9715View further author information
ORCID Icon &
Ricardo Dalagnolb NASA-Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA;c Center for Tropical Research, Institute of the Environment, University of California, Los Angeles, CA, USAORCID Iconhttps://orcid.org/0000-0002-7151-8697View further author information
ORCID Icon
Article: 2290354 | Received 02 Jun 2023, Accepted 29 Nov 2023, Published online: 06 Dec 2023

References

  • Anderson, L. O., Y. Malhi, L. E. Aragão, R. Ladle, E. Arai, N. Barbier, and O. Phillips. 2010. “Remote Sensing Detection of Droughts in Amazonian Forest Canopies.” New Phytologist 187 (3): 733–24. https://doi.org/10.1111/j.1469-8137.2010.03355.x.
  • Aragão, L. E. O., Y. Malhi, R. M. Roman‐Cuesta, S. Saatchi, L. O. Anderson, and Y. E. Shimabukuro. 2007. “Spatial patterns and fire response of recent Amazonian droughts.” Geophysical Research Letters 34 (7): L07701. https://doi.org/10.1029/2006GL028946.
  • Atkinson, P. M., J. Dash, and C. Jeganathan. 2011. “Amazon Vegetation Greenness as Measured by Satellite Sensors Over the Last Decade.” Geophysical Research Letters 38 (19): L19105. https://doi.org/10.1029/2011GL049118.
  • Brando, P. M., S. J. Goetz, A. Baccini, D. C. Nepstad, P. S. Beck, and M. C. Christman. 2010. “Seasonal and interannual variability of climate and vegetation indices across the Amazon.” Proceedings of the National Academy of Sciences 107 (33): 14685–14690. https://doi.org/10.1073/pnas.0908741107.
  • Chen, R., G. Yin, G. Liu, Y. Yang, C. Wang, Q. Xie, W. Zhao, and A. Verger. 2023. “Correction of Illumination Effects on Seasonal Divergent NIRv Photosynthetic Phenology.” Agricultural and Forest Meteorology 339:109542. https://doi.org/10.1016/j.agrformet.2023.109542.
  • Galvão, 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 (3): 360–381. https://doi.org/10.1080/15481603.2015.1134140.
  • Galvão, L. S., A. A. de Souza, and F. M. Breunig. 2020. “A Hyperspectral Experiment Over Tropical Forests Based on the EO-1 Orbit Change and PROSAIL Simulation.” GIScience & Remote Sensing 57 (1): 74–90. https://doi.org/10.1080/15481603.2019.1668595.
  • 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 (9): 2350–2359. https://doi.org/10.1016/j.rse.2011.04.035.
  • 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 (4): 492–501. https://doi.org/10.1007/s004420050337.
  • Gatti, L. V., L. S. Basso, J. B. Miller, M. Gloor, L. Gatti Domingues, H. Cassol, G. Tejada, et al. 2021. “Amazonia as a Carbon Source Linked to Deforestation and Climate Change.” Nature 595 (7867): 388–393. https://doi.org/10.1038/s41586-021-03629-6.
  • Gitelson, A., and M. N. Merzlyak. 1994. “Quantitative Estimation of Chlorophyll-A Using Reflectance Spectra: Experiments with Autumn Chestnut and Maple Leaves.” Journal of Photochemical and Photobiology B: Biology 22 (3): 247–252. https://doi.org/10.1016/1011-1344(93)06963-4.
  • Gitelson, A. A., M. N. Merzlyak, and H. K. Lichtenthaler. 1996. “Detection of Red Edge Position and Chlorophyll.” Journal Plant of Physiology 148 (3–4): 501–508. https://doi.org/10.1016/S0176-1617(96)80285-9.
  • Gonçalves, N. B., R. Dalagnol, J. Wu, A. Pontes-Lopes, S. C. Stark, and B. W. Nelson. 2023. “Amazon Forest Spectral Seasonality is Consistent Across Sensor Resolutions and Driven by Leaf Demography.” ISPRS Journal of Photogrammetry and Remote Sensing 196:93–104. https://doi.org/10.1016/j.isprsjprs.2022.12.001.
  • Gruninger, J. H., 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. https://doi.org/10.1117/12.543794.
  • Haddad, I., L. S. Galvão, F. M. Breunig, R. Dalagnol, V. Bourscheidt, and A. D. Jacon. 2022. “On the Combined Use of Phenological Metrics Derived from Different PlanetScope Vegetation Indices for Classifying Savannas in Brazil.” Remote Sensing Applications: Society & Environment 26:100764. https://doi.org/10.1016/j.rsase.2022.100764.
  • Haralick, R. M., K. Shanmugam, and I. Dinstein. 1973. “Textural Features for Image Classification.” IEEE Transactions on Systems, Man, and Cybernetics 3 (6): 610–621. https://doi.org/10.1109/TSMC.1973.4309314.
  • Huete, A. R., 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 (1–2): 195–213. https://doi.org/10.1016/S0034-4257(02)00096-2.
  • Huete, A. R., K. Didan, Y. E. Shimabukuro, P. Ratana, S. R. Saleska, L. R. Hutyra, and R. Myneni. 2006. “Amazon Rainforests Green‐Up with Sunlight in Dry Season.” Geophysical Research Letters 33 (6): L06405. https://doi.org/10.1029/2005GL025583.
  • Lakens, D. 2013. “Calculating and Reporting Effect Sizes to Facilitate Cumulative Science: A Practical Primer for T-Tests and ANOVAs.” Frontiers in Psychology 4:article 863. https://doi.org/10.3389/fpsyg.2013.00863.
  • Lopes, A. P., B. W. Nelson, J. Wu, P. M. L. A. Graça, J. V. Tavares, N. Prohaska, G. A. Martins, and S. R. Saleska. 2016. “Leaf Flush Drives Dry Season Green-Up of the Central Amazon.” Remote Sensing of Environment 182:78–90. https://doi.org/10.1016/j.rse.2016.05.009.
  • Malhi, Y., J. T. Roberts, R. A. Betts, T. J. Killeen, W. Li, and C. A. Nobre. 2008. “Climate Change, Deforestation, and the Fate of the Amazon.” Science 319 (5860): 169–172. https://doi.org/10.1126/science.1146961.
  • 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 (11): 2636–2651. https://doi.org/10.3390/s7112636.
  • Morton, D. C., J. Nagol, C. C. Carabajal, J. Rosette, M. Palace, B. D. Cook, and P. R. North. 2014. “Amazon Forests Maintain Consistent Canopy Structure and Greenness During the Dry Season.” Nature 506 (7487): 221–224. https://doi.org/10.1038/nature13006.
  • Moura, Y. M., L. S. Galvão, J. R. dos 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. https://doi.org/10.1016/j.rse.2012.09.013.
  • Moura, Y. M., L. S. Galvão, T. Hilker, J. Wu, S. Saleska, C. H. Do Amaral, and L. E. Aragão. 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. https://doi.org/10.1016/j.isprsjprs.2017.07.006.
  • Moura, Y. M., T. Hilker, A. I. Lyapustin, L. S. Galvão, J. R. Santos, L. O. Anderson, C. H. R. Sousa, and E. Arai. 2015. “Seasonality and Drought Effects of Amazonian Forests Observed from Multi-Angle Satellite Data.” Remote Sensing of Environment 171:278–290. https://doi.org/10.1016/j.rse.2015.10.015.
  • Oliveira, L. M., L. S. Galvão, and F. J. Ponzoni. 2021. “Topographic Effects on the Determination of Hyperspectral Vegetation Indices: A Case Study in Southeastern Brazil.” Geocarto International 36 (19): 2186–2203. https://doi.org/10.1080/10106049.2019.1690055.
  • Petri, C. A., and L. S. Galvão. 2019. “Sensitivity of Seven MODIS Vegetation Indices to BRDF Effects During the Amazonian Dry Season.” Remote Sensing 11 (14): 1650. https://doi.org/10.3390/rs11141650.
  • Petri, C. A., L. S. Galvão, L. E. O. C. Aragão, R. Dalagnol, C. T. Almeida, A. H. M. Oliveira, and I. M. Felix. 2022. “Solar Illumination Effects on the Dry-Season Variability of Spectral and Spatial Attributes Calculated from PlanetScope Data Over Tropical Forests of the Amazon.” International Journal of Remote Sensing 43 (11): 4087–4116. https://doi.org/10.1080/01431161.2022.2106801.
  • Petri, C. A., L. S. Galvão, and A. I. Lyapustin. 2019. “MODIS BRDF Effects Over Brazilian Tropical Forests and Savannahs: A Comparative Analysis.” Remote Sensing Letters 10 (2): 95–102. https://doi.org/10.1080/2150704X.2018.1526425.
  • 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).
  • Saleska, S. R., K. Didan, A. R. Huete, and H. R. Da Rocha. 2007. “Amazon forests green-up during 2005 drought.” Science 318 (5850): 612–612. https://doi.org/10.1126/science.1146663.
  • Samanta, A., S. Ganguly, H. Hashimoto, S. Devadiga, E. Vermote, Y. Knyazikhin, and R. B. Myneni. 2010. “Amazon Forests Did Not Green‐Up During the 2005 Drought.” Geophysical Research Letters 37 (5): L05401. https://doi.org/10.1029/2009GL042154.
  • Samanta, A., Y. Knyazikhin, L. Xu, R. E. Dickinson, R. Fu, M. H. Costa, S. S. Saatchi, R. R. Nemani, and R. B. Myneni. 2012. “Seasonal Changes in Leaf Area of Amazon Forests from Leaf Flushing and Abscission.” Journal of Geophysical Research 117:G01015. https://doi.org/10.1029/2011JG001818.
  • Saunier, S., and P. Cocevar 2022. “Technical Note on Quality Assessment for SuperDove. EarthNet Data Assessment Pilot (EDAP).” Technical Report 41: Issue 1.
  • Silva Junior, C. H. L., W. A. Campanharo, L. O. Anderson, and L. E. O. C. Aragão. 2021. “Global CHIRPS MCWD (Maximum Cumulative Water Deficit) Dataset.” Zenodo. https://doi.org/10.5281/zenodo.4903340.
  • Silveira, M. V., C. A. Petri, I. S. Broggio, G. O. Chagas, M. S. Macul, C. C. Leite, and L. E. Aragão. 2020. “Drivers of Fire Anomalies in the Brazilian Amazon: Lessons Learned from the 2019 Fire Crisis.” Land 9 (12): 516. https://doi.org/10.3390/land9120516.
  • Tu, Y., K. Johansen, B. Aragon, M. M. El Hajj, and M. F. McCabe. 2022. “The Radiometric Accuracy of the 8-Band Multi-Spectral Surface Reflectance from the Planet SuperDove Constellation.” International Journal of Applied Earth Observation and Geoinformation 114:103035. https://doi.org/10.1016/j.jag.2022.103035.
  • Wang, J., D. Yang, M. Detto, B. W. Nelson, M. Chen, K. Guan, and J. Wu. 2020. “Multi-Scale Integration of Satellite Remote Sensing Improves Characterization of Dry-Season Green-Up in an Amazon Tropical Evergreen Forest.” Remote Sensing of Environment 246:111865. https://doi.org/10.1016/j.rse.2020.111865.
  • Wood, E. M., A. M. Pidgeon, V. C. Radeloff, and N. S. Keuler. 2012. “Image Texture as a Remotely Sensed Measure of Vegetation Structure.” Remote Sensing of Environment 12:516–526. https://doi.org/10.1016/j.rse.2012.01.003.
  • Wu, J., L. P. Albert, A. P. Lopes, N. Restrepo-Coupe, M. Hayek, K. T. Wiedemann, and S. R. Saleska. 2016. “Leaf Development and Demography Explain Photosynthetic Seasonality in Amazon Evergreen Forests.” Science 351 (6276): 972–976. https://doi.org/10.1126/science.aad5068.
  • Xu, L., A. Samanta, M. H. Costa, S. Ganguly, R. R. Nemani, and R. B. Myneni. 2011. “Widespread decline in greenness of Amazonian vegetation due to the 2010 drought.” Geophysical Research Letters 38 (7): L07402. https://doi.org/10.1029/2011GL046824.
  • 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. https://doi.org/10.1016/j.rse.2016.08.022.
  • Zhou, J., R. Yan Guo, M. Sun, T. T. Di, S. Wang, J. Zhai, and Z. Zhao. 2017. “The Effects of GLCM Parameters on LAI Estimation Using Texture Values from Quickbird Satellite Imagery.” Scientific Reports 7 (1): 1–12. https://doi.org/10.1038/s41598-017-07951-w.

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