Assessing the performance of smoothing functions to estimate land surface phenology on temperate grassland

References

• Alcaraz-Segura, D., J. Cabello, J. M. Paruelo, and M. Delibes. 2009. “Use of Descriptors of Ecosystem Functioning for Monitoring a National Park Network: A Remote Sensing Approach.” Environmental Management 43: 38–48. doi:10.1007/s00267-008-9154-y.
   PubMed Web of Science ®Google Scholar
• Ali, A., C. A. De Bie, A. K. Skidmore, R. G. Scarrot, and P. Lymberakis. 2014. “Mapping the Heterogeneity of Natural and Semi-Natural Landscapes.” International Journal of Applied Earth Observation and Geoinformation 26: 176–183. doi:10.1016/j.jag.2013.06.007.
   Web of Science ®Google Scholar
• Atkinson, P. M., C. Jeganathan, J. Dash, and C. Atzberger. 2012. “Inter-Comparison of Four Models for Smoothing Satellite Sensor Time-Series Data to Estimate Vegetation Phenology.” Remote Sensing of Environment 123: 400–417. doi:10.1016/j.rse.2012.04.001.
   Web of Science ®Google Scholar
• Atzberger, C. 2013. “Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs.” Remote Sensing 5: 949–981. doi:10.3390/rs5020949.
   Web of Science ®Google Scholar
• Atzberger, C., and P. H. C. Eilers. 2011. “A Time Series for Monitoring Vegetation Activity and Phenology at 10-Daily Time Steps Covering Large Parts of South America.” International Journal of Digital Earth 4 (5): 365–386. doi:10.1080/17538947.2010.505664.
   Web of Science ®Google Scholar
• Baldi, G., J. Guerschman, and J. M. Paruelo. 2006. “Characterizing Fragmentation in Temperate South America Grasslands.” Agriculture, Ecosystems & Environment 116: 197–208. doi:10.1016/j.agee.2006.02.009.
   Web of Science ®Google Scholar
• Barraza, V., F. Grings, M. Salvia, P. Perna, A. E. Carbajo, and H. Karszenbaum. 2013. “Monitoring and Modelling Land Surface Dynamics in Bermejo River Basin, Argentina: Time Series Analysis of MODIS NDVI Data.” International Journal of Remote Sensing 4 (5): 365–386.
   Google Scholar
• Beck, P., C. Atzberger, K. Hogda, B. Johansen, and A. Skidmore. 2006. “Improved Monitoring of Vegetation Dynamics at Very High Latitudes: A New Method Using MODIS NDVI.” Remote Sensing of Environment 100: 321–334. doi:10.1016/j.rse.2005.10.021.
   Web of Science ®Google Scholar
• Broich, M., A. Huete, M. G. Tulbure, X. Ma, Q. Xin, M. Paget, N. Restrepo-Coupe, K. Davies, R. Devadas, and A. Held. 2014. “Land Surface Phenological Response to Decadal Climate Variability across Australia Using Satellite Remote Sensing.” Biogeosciences 11: 5181–5198. doi:10.5194/bg-11-5181-2014.
   Web of Science ®Google Scholar
• Burnham, K. P., and D. R. Anderson. 2002. Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach, 515 pp. 2nd ed. New York: Springer.
   Google Scholar
• Chen, J., P. Jönsson, M. Tamura, Z. Gu, B. Matsushita, and L. Eklundh. 2004. “A Simple Method for Reconstructing A High-Quality NDVI Time-Series Data Set Based on the Savitzky–Golay Filter.” Remote Sensing of Environment 91: 332–344. doi:10.1016/j.rse.2004.03.014.
   Web of Science ®Google Scholar
• De Castro, A. I., R. E. Plant, J. Six, and J. M. Peña. 2014. “Mapas de calendario de cultivo y variables fenológicas mediante el análisis de imágenes MODIS y ASTER basado en objetos.” Revista de Teledetección 41: 29–36. doi:10.4995/raet.2014.2307.
   Google Scholar
• de Leeuw, J., A. Vrieling, A. Shee, C. Atzberger, K. M. Hadgu, C. M. Biradar, H. Keah, and C. Turvey. 2014. “The Potential and Uptake of Remote Sensing in Insurance: A Review.” Remote Sensing 6: 10888–10912. doi:10.3390/rs61110888.
   Web of Science ®Google Scholar
• Eastman, J. R. 2009. Idrisi Taiga Tutorial. Earth Trends Modeler. Wourcester, MA: Clark Labs, Clark University.
   Google Scholar
• Eilers, P. H. C. 2003. “A Perfect Smoother.” Analytical Chemistry 75: 3631–3636. doi:10.1021/ac034173t.
   PubMed Web of Science ®Google Scholar
• Eklundh, L., and P. Jönsson. 2009. Timesat 3.0 Software Manual. Lund: Lund University.
   Google Scholar
• Gao, F., J. T. Morisette, R. E. Wolfe, G. Ederer, J. Pedelty, E. Masuoka, R. Myneni, B. Tan, and J. Nightingale. 2008. “An Algorithm to Produce Temporally and Spatially Continuous MODIS-LAI Time Series.” IEEE Geoscience and Remote Sensing Letters 5 (1): 60–64. doi:10.1109/LGRS.2007.907971.
   Web of Science ®Google Scholar
• Herrera, L., P. Laterra, N. Maceira, K. Zelaya, and G. Martínez. 2009. “Fragmentation Status of Tall-Tussock Grassland Relicts in the Flooding Pampa, Argentina.” Rangeland Ecology & Management 62: 73–82. doi:10.2111/08-015.
   Web of Science ®Google Scholar
• Hird, J. N., 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.
   Web of Science ®Google Scholar
• Hmimina, G., E. Dufrêne, J.-Y. Pontailler, N. Delpierre, M. Aubinet, B. Caquet, A. de 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.
   Web of Science ®Google Scholar
• Holzman, M., R. Rivas, and M. Piccolo. 2014. “Estimating Soil Moisture and the Relationship with Crop Yield Using Surface Temperature and Vegetation Index.” International Journal of Applied Earth Observation and Geoinformation 28: 181–192. doi:10.1016/j.jag.2013.12.006.
   Web of Science ®Google Scholar
• Ivits, E., M. Cherlet, W. Mehl, and S. Sommer. 2013. “Ecosystem Functional Units Characterized by Satellite Observed Phenology and Productivity Gradients: A Case Study for Europe.” Ecological Indicators 27: 17–28. doi:10.1016/j.ecolind.2012.11.010.
   Web of Science ®Google Scholar
• Jakubauskas, M. E., D. R. Legates, and J. H. Kastens. 2001. “Harmonic Analysis of Time-Series AVHRR NDVI Data.” Photogrammetric Engineering & Remote Sensing 67 (4): 461–470.
   Web of Science ®Google Scholar
• Jin, H., and L. Eklundh. 2014. “A Physically Based Vegetation Index for Improved Monitoring of Plant Phenology.” Remote Sensing of Environment 152: 512–525. doi:10.1016/j.rse.2014.07.010.
   Web of Science ®Google Scholar
• Jönsson, 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: 1824–1832. doi:10.1109/TGRS.2002.802519.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• Kogan, F. N. 1997. “Global Drought Watch from Space.” Bulletin of the American Meteorological Society 78 (4): 621–636. doi:10.1175/1520-0477(1997)078<0621:GDWFS>2.0.CO;2.
   Web of Science ®Google Scholar
• Lara, B., and M. Gandini. 2014. “Quantifying the Land Cover Changes and Fragmentation Patterns in the Argentina Pampas, in the Last 37 Years (1974-2011).” Geofocus (Artículos) 14: 163–180.
   Google Scholar
• Leinenkugel, P., C. Kuenzer, N. Oppelt, and S. Dech. 2013. “Characterisation of Land Surface Phenology and Land Cover Based on Moderate Resolution Satellite Data in Cloud Prone Areas — A Novel Product for the Mekong Basin.” Remote Sensing of Environment 136: 180–198. doi:10.1016/j.rse.2013.05.004.
   Web of Science ®Google Scholar
• Li, Z., T. Huffman, A. Zhang, F. Zhou, and B. McConkey. 2012. “Spatially Locating Soil Classes within Complex Soil Polygons – Mapping Soil Capability for Agriculture in Saskatchewan Canada.” Agriculture, Ecosystems & Environment 152 (5): 59–67. doi:10.1016/j.agee.2012.02.007.
   Web of Science ®Google Scholar
• Liu, J., X. Yang, H. Liu, and Z. Qiao. 2013. “Algorithms and Applications in Grass Growth Monitoring.” Abstract and Applied Analysis 2013: 7 p.
   Google Scholar
• Matteucci, S. 2012. “Ecorregión Pampa.” In Ecorregiones y Complejos Ecosistémicos Argentinos, edited by J. Morello, S. Matteucci, A. Rodríguez, and M. Silva, 391–446. Buenos Aires: Orientación Gráfica Editora.
   Google Scholar
• Melendez-Pastor, I., J. Navarro-Pedreño, M. Koch, I. Gómez, and E. I. Hernández. 2010. “Land-Cover Phenologies and Their Relation to Climatic Variables in an Anthropogenically Impacted Mediterranean Coastal Area.” Remote Sensing 2: 697–716. doi:10.3390/rs2030697.
   Web of Science ®Google Scholar
• Monteith, J. L. 1981. “Climatic Variation and the Growth of Crops.” Quarterly Journal of the Royal Meteorological Society 107 (454): 749–774. doi:10.1002/qj.49710745402.
   Web of Science ®Google Scholar
• Moody, A., and D. M. Johnson. 2001. “Land-Surface Phenologies from AVHRR Using the Discrete Fourier Transform.” Remote Sensing of Environment 75: 305–323. doi:10.1016/S0034-4257(00)00175-9.
   Web of Science ®Google Scholar
• Paruelo, J. M., H. E. Epstein, W. K. Lauenroth, and I. C. Burke. 1997. “ANPP Estimates from NDVI for the Central Grassland Region of the United States.” Ecology 78 (3): 953–958. doi:10.1890/0012-9658(1997)078[0953:AEFNFT]2.0.CO;2.
   Web of Science ®Google Scholar
• Paruelo, J. M., E. G. Jobbágy, and O. E. Sala. 2001. “Current Distribution of Ecosystem Functional Types in Temperate South America.” Ecosystems 4: 683–698. doi:10.1007/s10021-001-0037-9.
   Web of Science ®Google Scholar
• Pettorelli, N., J. Vik, A. Mysterud, J. Gaillard, C. Tucker, and N. Stenseth. 2005. “Using the Satellite-Derived NDVI to Assess Ecological Responses to Environmental Change.” Trends in Ecology & Evolution 20 (9): 503–510. doi:10.1016/j.tree.2005.05.011.
   PubMed Web of Science ®Google Scholar
• Rembold, F., C. Atzberger, I. Savin, and O. Rojas. 2013. “Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection.” Remote Sensing 5: 1704–1733. doi:10.3390/rs5041704.
   Web of Science ®Google Scholar
• Solano, R., K. Didan, A. Jacobson, and A. Huete. 2010. MODIS Vegetation Index User’s Guide (MOD13 Series) C5. Tucson: Vegetation Index and Phenology Lab, The University of Arizona.
   Google Scholar
• Tan, B., J. Morisette, R. Wolfe, F. Gao, G. Ederer, J. Nightingale, and J. Pedelty. 2011. “An Enhanced TIMESAT Algorithm for Estimating Vegetation Phenology Metrics from MODIS Data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 4 (2): 361–371. doi:10.1109/JSTARS.2010.2075916.
   Web of Science ®Google Scholar
• Tucker, C. J., and B. J. Choudhury. 1987. “Satellite Remote Sensing of Drought Conditions.” Remote Sensing of Environment 23: 243–251. doi:10.1016/0034-4257(87)90040-X.
   Web of Science ®Google Scholar
• van Leeuwen, W., K. Hartfield, M. Miranda, and F. J. Meza. 2013. “Trends and ENSO/AAO Driven Variability in NDVI Derived Productivity and Phenology alongside the Andes Mountains.” Remote Sensing 5: 1177–1203. doi:10.3390/rs5031177.
   Web of Science ®Google Scholar
• Vega, E., G. Baldi, E. Jobbágy, and J. Paruelo. 2009. “Land Use Change Patterns in the Rio de La Plata Grasslands: The Influence of Phytogeographic and Political Boundaries.” Agriculture, Ecosystems & Environment 134: 287–292. doi:10.1016/j.agee.2009.07.011.
   Web of Science ®Google Scholar
• Viglizzo, E., F. Lértora, A. Pordomingo, J. Bernardos, Z. Roberto, and H. Del Valle. 2001. “Ecological Lessons and Applications from One Century of Low External-Input Farming in the Pampas of Argentina.” Agriculture, Ecosystems & Environment 83: 65–81. doi:10.1016/S0167-8809(00)00155-9.
   Web of Science ®Google Scholar
• Wang, Q., J. Tenhunen, N. Q. Dinh, M. Reichstein, T. Vesala, and P. Keronen. 2004. “Similarities in Ground- and Satellite-Based NDVI Time Series and Their Relationship to Physiological Activity of a Scots Pine Forest in Finland.” Remote Sensing of Environment 93 (1–2): 225–237. doi:10.1016/j.rse.2004.07.006.
   Web of Science ®Google Scholar
• White, M. A., K. M. de Beurs, K. Didan, D. W. Inouye, A. D. Richardson, O. P. Jensen, J. O’Keefe, et al. 2009. “Intercomparison, Interpretation, and Assessment of Spring Phenology in North America Estimated from Remote Sensing for 1982-2006.” Global Change Biology 15: 2335–2359. doi:10.1111/gcb.2009.15.issue-10.
   Web of Science ®Google Scholar
• Wolter, K., and M. S. Timlin. 2011. “El Niño/Southern Oscillation Behaviour since 1871 as Diagnosed in an Extended Multivariate ENSO Index (Mei.Ext).” International Journal of Climatology 31: 1074–1087. doi:10.1002/joc.v31.7.
   Web of Science ®Google Scholar
• Yang, Y., J. Xu, Y. Hong, and G. Lv. 2012. “The Dynamic of Vegetation Coverage and Its Response to Climate Factors in Inner Mongolia, China.” Stochastic Environmental Research and Risk Assessment 26: 357–373. doi:10.1007/s00477-011-0481-9.
   Web of Science ®Google Scholar
• Zhu, L., and J. Meng. 2015. “Determining the Relative Importance of Climatic Drivers on Spring Phenology in Grassland Ecosystems of Semi-Arid Areas.” International Journal of Biometeorology 59: 237–248. doi:10.1007/s00484-014-0839-z.
   PubMed Web of Science ®Google Scholar