151
Views
4
CrossRef citations to date
0
Altmetric
Articles

Spatio-temporal quality distribution of MODIS vegetation collections 5 and 6: implications for forest-non-forest separability

, & ORCID Icon
Pages 373-397 | Received 23 May 2018, Accepted 30 Apr 2019, Published online: 16 Jul 2019

References

  • Alexandridis, T. K., I. Z. Gitas, and N. G. Silleos. 2008. “An Estimation of the Optimum Temporal Resolution for Monitoring Vegetation Condition on a Nationwide Scale Using MODIS/Terra Data.” International Journal of Remote Sensing 29 (12): 3589–3607. doi:10.1080/01431160701564618.
  • Ali, A., C. A. J. M. de Bie, and A. K. Skidmore. 2013. “Detecting Long-duration Cloud Contamination in Hyper-temporal NDVI Imagery.” International Journal of Applied Earth Observation and Geoinformation 24: 22–31. doi:10.1016/j.jag.2013.02.001.
  • Anselin, L. 1995. “Local Indicators of Spatial Association - Lisa.” Geographical Analysis 27 (2): 93–115. doi:10.1111/j.1538-4632.1995.tb00338.x.
  • Ban, Y., and P. J. Howarth. 1999. “Multitemporal ERS-1 SAR Data for Crop Classification: A Sequential-Masking Approach.” Canadian Journal of Remote Sensing 25 (5): 438–447. doi:10.1080/07038992.1999.10874743.
  • Baum, B. A., W. P. Menzel, R. A. Frey, D. C. Tobin, R. E. Holz, S. A. Ackerman, A. K. Heidinger, and P. Yang. 2012. “MODIS Cloud-top Property Refinements for Collection 6.” Journal of Applied Meteorology and Climatology 51 (6): 1145–1163. doi:10.1175/JAMC-D-11-0203.1.
  • Choe, J., and C. Lee. 2007. “Estimation of the Peak Signal-to-noise Ratio for Compressed Video Based on Generalized Gaussian Modeling.” Optical Engineering 46: 10. doi:10.1117/1.2799103.
  • Cihlar, J., Y. Du, and R. Latifovic. 2001. “Land Cover Dependence in the Detection of Contaminated Pixels in Satellite Optical Data.” IEEE Transactions on Geoscience and Remote Sensing 39 (5): 1084–1094. doi:10.1109/36.921426.
  • Cliff, A., and K. Ord. 1972. “Testing for Spatial Autocorrelation among Regression Residuals.” Geographical Analysis 4 (3): 267–284. doi:10.1111/j.1538-4632.1972.tb00475.x.
  • Colditz, R. R., C. Conrad, T. Wehrmann, M. Schmidt, and S. Dech. 2006. Generation and assessment of MODIS time series using quality information. Paper presented at the IEEE International Conference on Geoscience and Remote Sensing Symposium, Denver, Colorado, USA, 31 July - 4 August
  • Colditz, R. R., C. Conrad, and S. W. Dech. 2011. “Stepwise Automated Pixel-Based Generation of Time Series Using Ranked Data Quality Indicators.” Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing 4 (2): 272–280. doi:10.1109/Jstars.2010.2048703.
  • Colditz, R. R., C. Conrad, T. Wehrmann, M. Schmidt, and S. Dech. 2008. “TiSeG: A Flexible Software Tool for Time-Series Generation of MODIS Data Utilizing the Quality Assessment Science Data Set.” IEEE Transactions on Geoscience and Remote Sensing 46 (10): 3296–3308. doi:10.1109/Tgrs.2008.921412.
  • Conrad, C., R. R. Colditz, S. Dech, D. Klein, and P. L. G. Vlek. 2011. “Temporal Segmentation of MODIS Time Series for Improving Crop Classification in Central Asian Irrigation Systems.” International Journal of Remote Sensing 32 (23): 8763–8778. doi:10.1080/01431161.2010.550647.
  • Conrad, C., S. W. Dech, M. Hafeez, J. Lamers, C. Martius, and G. Strunz. 2007. “Mapping and Assessing Water Use in a Central Asian Irrigation System by Utilizing MODIS Remote Sensing Products.” Irrigation and Drainage Systems 21 (3–4): 197–218. doi:10.1007/s10795-007-9029-z.
  • Cox, N. J. 1989. “Teaching and Learning Spatial Autocorrelation: A Review.” Journal of Geography in Higher Education 13 (2): 185–190. doi:10.1080/03098268908709084.
  • Dabboor, M., S. Howell, M. Shokr, and J. Yackel. 2014. “The Jeffries–Matusita Distance for the Case of Complex Wishart Distribution as a Separability Criterion for Fully Polarimetric SAR Data.” International Journal of Remote Sensing 35 (19): 6859–6873. doi:10.1080/01431161.2014.960614.
  • Didan, K. 2015. “MOD13Q1 MODIS/Terra Vegetation Indices 16-day L3 Global 250m SIN Grid V006.” distributed by NASA EOSDIS Land Processes DAAC, doi: 10.5067/MODIS/MOD13Q1.006
  • Didan, K., A. B. Munoz, R. Solano, and A. Huete. 2015. MODIS Vegetation Index User’s Guide (MOD13 Series). Tucson: University of Arizona.
  • FAO, and JRC. 2012. Global Forest Land-use Change 1990–2005. edited by E. J. Lindquist, R. d’Annunzio, A. Gerrand, K. Macdicken, F. Achard, R. Beuchle, A. Brink, et al. Rome: Food and Agriculture Organization of the United Nations and European Commission Joint Research Centre.
  • Freitas, S. R., M. C. S. Mello, and C. B. M. Cruz. 2005. “Relationships between Forest Structure and Vegetation Indices in Atlantic Rainforest.” Forest Ecology and Management 218 (1): 353–362. doi:10.1016/j.foreco.2005.08.036.
  • Friedl, M. A., D. Sulla-Menashe, B. Tan, A. Schneider, N. Ramankutty, A. Sibley, and X. M. Huang. 2010. “MODIS Collection 5 Global Land Cover: Algorithm Refinements and Characterization of New Datasets.” Remote Sensing of Environment 114 (1): 168–182. doi:10.1016/j.rse.2009.08.016.
  • Ganguly, S., M. A. Friedl, B. Tan, X. Zhang, and M. Verma. 2010. “Land Surface Phenology from MODIS: Characterization of the Collection 5 Global Land Cover Dynamics Product.” Remote Sensing of Environment 114 (8): 1805–1816. doi:10.1016/j.rse.2010.04.005.
  • Getis, A., and J. K. Ord. 1992. “The Analysis of Spatial Association by Use of Distance Statistics.” Geographical Analysis 24 (3): 189–206. doi:10.1111/j.1538-4632.1992.tb00261.x.
  • Hermosilla, T., M. A. Wulder, J. C. White, N. C. Coops, and G. W. Hobart. 2015. “An Integrated Landsat Time Series Protocol for Change Detection and Generation of Annual Gap-free Surface Reflectance Composites.” Remote Sensing of Environment 158: 220–234. doi:10.1016/j.rse.2014.11.005.
  • Holben, B. N. 1986. “Characteristics of Maximum-value Composite Images from Temporal AVHRR Data.” International Journal of Remote Sensing 7 (11): 1417–1434. doi:10.1080/01431168608948945.
  • Huete, A., K. Didan, W. van Leeuwen, T. Miura, and E. Glenn. 2011. “MODIS Vegetation Indices.” In Land Remote Sensing and Global Environmental Change, edited by Ramachandran B., Justice C., Abrams M., 579–602. Springer.
  • 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 (10): 3833–3845. doi:10.1016/j.rse.2008.06.006.
  • Jin, S., and S. A. Sader. 2005. “MODIS Time-series Imagery for Forest Disturbance Detection and Quantification of Patch Size Effects.” Remote Sensing of Environment 99 (4): 462–470. doi:10.1016/j.rse.2005.09.017.
  • Jonsson, P., and L. Eklundh. 2002. “Seasonality Extraction by Function Fitting to Time-series of Satellite Sensor Data.” IEEE Transactions on Geoscience and Remote Sensing 40 (8): 1824–1832. doi:10.1109/Tgrs.2002.802519.
  • Jung, R., and M. Ehlers. 2016. “Comparison of Two Feature Selection Methods for the Separability Analysis of Intertidal Sediments with Spectrometric Datasets in the German Wadden Sea.” International Journal of Applied Earth Observation and Geoinformation 52: 175–191. doi:10.1016/j.jag.2016.06.009.
  • Knight, J. F., R. S. Lunetta, J. Ediriwickrema, and S. Khorrarn. 2006. “Regional Scale Land Cover Characterization Using MODIS-NDVI 250 M Multi-temporal Imagery: A Phenology-based Approach.” GIScience & Remote Sensing 43 (1): 1–23. doi:10.2747/1548-1603.43.1.1.
  • Lambin, E. F., and D. Ehrlich. 1996. “The Surface Temperature-vegetation Index Space for Land Cover and Land-cover Change Analysis.” International Journal of Remote Sensing 17 (3): 463–487. doi:10.1080/01431169608949021.
  • Lyapustin, A., Y. Wang, X. Xiong, G. Meister, S. Platnick, R. Levy, B. Franz, S. Korkin, T. Hilker, and J. Tucker. 2014. “Scientific Impact of MODIS C5 Calibration Degradation and C6+ Improvements.” Atmospheric Measurement Techniques 7: 4353–4365. doi:10.5194/amt-7-4353-2014.
  • Myneni, R. B., and F. G. Hall. 1995. “The Interpretation of Spectral Vegetation Indexes.” Geoscience and Remote Sensing, IEEE Transactions On 33 (2): 481–486. doi:10.1109/TGRS.1995.8746029.
  • Panuju, D. R., A. L. Griffin, and D. J. Paull. 2017. “Quality Assessment of Time Series MODIS Data for Long Term Monitoring.” Paper presented at the 38th Asian Conference on Remote Sensing, Space Applications: Touching Human Lives, New Delhi, India, October 23–27.
  • Peddle, D. R., S. P. Brunke, and F. G. Hall. 2001. “A Comparison of Spectral Mixture Analysis and Ten Vegetation Indices for Estimating Boreal Forest Biophysical Information from Airborne Data.” Canadian Journal of Remote Sensing 27 (6): 627–635. doi:10.1080/07038992.2001.10854903.
  • Petitjean, F., J. Inglada, and P. Gancarski. 2014. “Assessing the Quality of Temporal High-resolution Classifications with Low-resolution Satellite Image Time Series.” International Journal of Remote Sensing 35 (7): 2693–2712. doi:10.1080/01431161.2014.883092.
  • Roy, D. P., J. S. Borak, S. Devadiga, R. E. Wolfe, M. Zheng, and J. Descloitres. 2002. “The MODIS Land Product Quality Assessment Approach.” Remote Sensing of Environment 83 (1–2): 62–76. doi:10.1016/S0034-4257(02)00087-1.
  • Sayer, A. M., N. C. Hsu, C. Bettenhausen, M. J. Jeong, and G. Meister. 2015. “Effect of MODIS Terra Radiometric Calibration Improvements on Collection 6 Deep Blue Aerosol Products: Validation and Terra/Aqua Consistency.” Journal of Geophysical Research: Atmospheres 120 (23): 12157-12174.
  • Shimada, M., T. Itoh, T. Motooka, M. Watanabe, T. Shiraishi, R. Thapa, and R. Lucas. 2014. “New Global Forest/non-forest Maps from ALOS PALSAR Data (2007–2010).” Remote Sensing of Environment 155: 13–31. doi:10.1016/j.rse.2014.04.014.
  • Singh, A. 1984. “Some Clarifications about the Pairwise Divergence Measure in Remote Sensing.” International Journal of Remote Sensing 5 (3): 623–627. doi:10.1080/01431168408948845.
  • Solano, R., K. Didan, A. B. Munoz, and A. Huete. 2010. MODIS Vegetation Index User’s Guide (MOD13 Series). Tucson: University of Arizona.
  • Stern, A. J., P. C. Doraiswamy, and E. R. Hunt. 2014. “Comparison of Different MODIS Data Product Collections over an Agricultural Area.” Remote Sensing Letters 5 (1): 1–9. doi:10.1080/2150704X.2013.862600.
  • Swain, P. H., and R. C. King. 1973. “Two Effective Feature Selection Criteria for Multispectral Remote Sensing.” Paper presented at the 1st International Joint Conference on Pattern Recognition, Washington, DC, October 30-November 1, 1973, January 01.
  • Swain, P. H., T. V. Robertson, and A. G. Wacker. 1971. “Comparison of the Divergence and B-distance in Feature Selection.” LARS Information Note 20871: 47906–1399.
  • Thomas, I. L., N. P. Ching, V. M. Benning, and J. A. D’aguanno. 1987. “Review Article: A Review of Multi-channel Indices of Class Separability.” International Journal of Remote Sensing 8 (3): 331–350. doi:10.1080/01431168708948645.
  • Thompson, J. A., D. J. Paull, and B. G. Lees. 2015. “Using Phase-spaces to Characterize Land Surface Phenology in a Seasonally Snow-covered Landscape.” Remote Sensing of Environment 166: 178–190. doi:10.1016/j.rse.2015.04.008.
  • Tian, H., J. M. Melillo, D. W. Kicklighter, A. D. McGuire, J. V. K. Helfrich III, B. Moore III, and C. J. VoÈroÈsmarty. 1998. “Effect of Interannual Climate Variability on Carbon Storage in Amazonian Ecosystems.” Nature 396 (6712): 664. doi:10.1038/25328.
  • Wan, Z. M. 2014. “New Refinements and Validation of the Collection-6 MODIS Land-surface Temperature/emissivity Product.” Remote Sensing of Environment 140: 36–45. doi:10.1016/j.rse.2013.08.027.
  • Wang, D., D. Morton, J. Masek, A. Wu, J. Nagol, X. Xiong, R. Levy, E. Vermote, and R. E. Wolfe. 2012. “Impact of Sensor Degradation on the MODIS NDVI Time Series.” Remote Sensing of Environment 119: 55–61. doi:10.1016/j.rse.2011.12.001.
  • Wulder, M., and B. Boots. 1998. “Local Spatial Autocorrelation Characteristics of Remotely Sensed Imagery Assessed with the Getis Statistic.” International Journal of Remote Sensing 19 (11): 2223–2231. doi:10.1080/014311698214983.
  • Zhang, Y., C. Song, L. E. Band, G. Sun, and J. Li. 2017. “Reanalysis of Global Terrestrial Vegetation Trends from MODIS Products: Browning or Greening?” Remote Sensing of Environment 191: 145–155. doi:10.1016/j.rse.2016.12.018.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.