Autosoft Journal

Online Manuscript Access

Selecting the Optimal NDVI Time-Series Reconstruction Technique for Crop Phenology Detection



A new scored method has been proposed in this study to evaluate the performances of different NDVI time-series reconstruction techniques. By giving a synthetic score to each of the candidates techniques based on two quantified criteria the optimal one is selected for the purpose of phenology detection. Three widely used techniques including Asymmetric Gaussian function fitting (AG), Double Logistic function fitting (DL) and Savitzky-Golay filtering (SG) are compared using NDVI time-series products from Moderate Resolution Imaging Spectroradiometer (MODIS) on Terra satellite over cropland of Northeast China. The results show that AG approach outperforms the two others in our study area. Cropland NDVI values have been improved obviously after the reconstruction by AG. Spatial patterns of the crop phenology detected from the AG reconstructed NDVI time-series are reasonable. The errors of the derived crop phenology metrics are within an acceptable limit.



Total Pages: 11
Pages: 237-247


Manuscript ViewPdf Subscription required to access this document

Obtain access this manuscript in one of the following ways

Already subscribed?

Need information on obtaining a subscription? Personal and institutional subscriptions are available.

Already an author? Have access via email address?


Volume: 22
Issue: 2
Year: 2015

Cite this document


Beck, Pieter S.A. et al. "Improved Monitoring of Vegetation Dynamics at Very High Latitudes: A New Method Using MODIS NDVI." Remote Sensing of Environment 100.3 (2006): 321-334. Crossref. Web.

Bradley, Bethany A. et al. "A Curve Fitting Procedure to Derive Inter-Annual Phenologies from Time Series of Noisy Satellite NDVI Data." Remote Sensing of Environment 106.2 (2007): 137-145. Crossref. Web.

Brown, J. Christopher et al. "Classifying Multiyear Agricultural Land Use Data from Mato Grosso Using Time-Series MODIS Vegetation Index Data." Remote Sensing of Environment 130 (2013): 39-50. Crossref. Web.

Brown, Molly E., Kirsten de Beurs, and Anton Vrieling. "The Response of African Land Surface Phenology to Large Scale Climate Oscillations." Remote Sensing of Environment 114.10 (2010): 2286-2296. Crossref. Web.

Butt, Bilal et al. "Use of MODIS NDVI to Evaluate Changing Latitudinal Gradients of Rangeland Phenology in Sudano-Sahelian West Africa." Remote Sensing of Environment 115.12 (2011): 3367-3376. Crossref. Web.

Cai, Hongyan, Shuwen Zhang, and Xiaohuan Yang. "Forest Dynamics and Their Phenological Response to Climate Warming in the Khingan Mountains, Northeastern China." International Journal of Environmental Research and Public Health 9.11 (2012): 3943-3953. Crossref. Web.

Chen, Jin et al. "A Simple Method for Reconstructing a High-Quality NDVI Time-Series Data Set Based on the Savitzky-Golay Filter." Remote Sensing of Environment 91.3-4 (2004): 332-344. Crossref. Web.

Davis J. C. Statistics and Data Analysis in Geology

Fensholt, Rasmus, and Simon R. Proud. "Evaluation of Earth Observation Based Global Long Term Vegetation Trends — Comparing GIMMS and MODIS Global NDVI Time Series." Remote Sensing of Environment 119 (2012): 131-147. Crossref. Web.

Fischer, Alberte. "A Model for the Seasonal Variations of Vegetation Indices in Coarse Resolution Data and Its Inversion to Extract Crop Parameters." Remote Sensing of Environment 48.2 (1994): 220-230. Crossref. Web.

Forkel, Matthias et al. "Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology." Remote Sensing 5.5 (2013): 2113-2144. Crossref. Web.

Geng, Liying et al. "Comparison of Eight Techniques for Reconstructing Multi-Satellite Sensor Time-Series NDVI Data Sets in the Heihe River Basin, China." Remote Sensing 6.3 (2014): 2024-2049. Crossref. Web.

Guo Z. Chinese Journal of Ecology

Heumann, B.W. et al. "AVHRR Derived Phenological Change in the Sahel and Soudan, Africa, 1982-2005." Remote Sensing of Environment 108.4 (2007): 385-392. Crossref. Web.

Hird, Jennifer N., and Gregory J. McDermid. "Noise Reduction of NDVI Time Series: An Empirical Comparison of Selected Techniques." Remote Sensing of Environment 113.1 (2009): 248-258. Crossref. Web.

HOLBEN, BRENT N. "Characteristics of Maximum-Value Composite Images from Temporal AVHRR Data." International Journal of Remote Sensing 7.11 (1986): 1417-1434. Crossref. Web.

Jonsson, P., and L. Eklundh. "Seasonality Extraction by Function Fitting to Time-Series of Satellite Sensor Data." IEEE Transactions on Geoscience and Remote Sensing 40.8 (2002): 1824-1832. Crossref. Web.

Jönsson, Per, and Lars Eklundh. "TIMESAT—a Program for Analyzing Time-Series of Satellite Sensor Data." Computers & Geosciences 30.8 (2004): 833-845. Crossref. Web.

Julien, Yves, and José A. Sobrino. "Comparison of Cloud-Reconstruction Methods for Time Series of Composite NDVI Data." Remote Sensing of Environment 114.3 (2010): 618-625. Crossref. Web.

JUSTICE, C. O. et al. "Analysis of the Phenology of Global Vegetation Using Meteorological Satellite Data." International Journal of Remote Sensing 6.8 (1985): 1271-1318. Crossref. Web.

Kariyeva, Jahan, and Willem Van Leeuwen. "Environmental Drivers of NDVI-Based Vegetation Phenology in Central Asia." Remote Sensing 3.2 (2011): 203-246. Crossref. Web.

Kogan, F., and J. Sullivan. "Development of Global Drought-Watch System Using NOAA/AVHRR Data." Advances in Space Research 13.5 (1993): 219-222. Crossref. Web.

Landmann, Tobias et al. "MODIS-Based Change Vector Analysis for Assessing Wetland Dynamics in Southern Africa." Remote Sensing Letters 4.2 (2013): 104-113. Crossref. Web.

Li, Zhengguo et al. "Spatio-Temporal Responses of Cropland Phenophases to Climate Change in Northeast China." Journal of Geographical Sciences 22.1 (2012): 29-45. Crossref. Web.

Li Z. Acta Ecologica Sinica

Lovell, J. L., and R. D. Graetz. "Filtering Pathfinder AVHRR Land NDVI Data for Australia." International Journal of Remote Sensing 22.13 (2001): 2649-2654. Crossref. Web.

Lu, Xiaoliang et al. "Removal of Noise by Wavelet Method to Generate High Quality Temporal Data of Terrestrial MODIS Products." Photogrammetric Engineering & Remote Sensing 73.10 (2007): 1129-1139. Crossref. Web.

Markon, Carl J., Michael D. Fleming, and Emily F. Binnian. "Characteristics of Vegetation Phenology over the Alaskan Landscape Using AVHRR Time-Series Data." Polar Record 31.177 (1995): 179. Crossref. Web.

Michishita, Ryo et al. "Empirical Comparison of Noise Reduction Techniques for NDVI Time-Series Based on a New Measure." ISPRS Journal of Photogrammetry and Remote Sensing 91 (2014): 17-28. Crossref. Web.

Motohka, Takeshi et al. "Evaluation of Sub-Pixel Cloud Noises on MODIS Daily Spectral Indices Based on in Situ Measurements." Remote Sensing 3.8 (2011): 1644-1662. Crossref. Web.

Park, Sunyurp. "Cloud and Cloud Shadow Effects on the MODIS Vegetation Index Composites of the Korean Peninsula." International Journal of Remote Sensing 34.4 (2013): 1234-1247. Crossref. Web.

Ramon S. MODIS Vegetation Index User’s Guide (MOD13 Series)

Noormets, Asko, ed. "Phenology of Ecosystem Processes." (2009): n. pag. Crossref. Web.

Roerink, G. J., M. Menenti, and W. Verhoef. "Reconstructing Cloudfree NDVI Composites Using Fourier Analysis of Time Series." International Journal of Remote Sensing 21.9 (2000): 1911-1917. Crossref. Web.

SELLERS, P. J. et al. "A Global 1° by 1° NDVI Data Set for Climate Studies. Part 2: The Generation of Global Fields of Terrestrial Biophysical Parameters from the NDVI." International Journal of Remote Sensing 15.17 (1994): 3519-3545. Crossref. Web.

Shan, Zhengying, and Qingyun Xu. "Remote Sensing of the Seasonal Naked Croplands Using Series of Ndvi Images and Phenological Feature." Intelligent Automation & Soft Computing 19.2 (2013): 207-216. Crossref. Web.

Taddei, R. "Maximum Value Interpolated (MVI): A Maximum Value Composite Method Improvement in Vegetation Index Profiles Analysis." International Journal of Remote Sensing 18.11 (1997): 2365-2370. Crossref. Web.

Tuanmu, Mao-Ning et al. "Mapping Understory Vegetation Using Phenological Characteristics Derived from Remotely Sensed Data." Remote Sensing of Environment 114.8 (2010): 1833-1844. Crossref. Web.

Velleman, Paul F. "Definition and Comparison of Robust Nonlinear Data Smoothing Algorithms." Journal of the American Statistical Association 75.371 (1980): 609-615. Crossref. Web.

Verbesselt, Jan et al. "Phenological Change Detection While Accounting for Abrupt and Gradual Trends in Satellite Image Time Series." Remote Sensing of Environment 114.12 (2010): 2970-2980. Crossref. Web.

VIOVY, N., O. ARINO, and A. S. BELWARD. "The Best Index Slope Extraction ( BISE): A Method for Reducing Noise in NDVI Time-Series." International Journal of Remote Sensing 13.8 (1992): 1585-1590. Crossref. Web.

WU, Wen-bin et al. "Characterizing Spatial Patterns of Phenology in Cropland of China Based on Remotely Sensed Data." Agricultural Sciences in China 9.1 (2010): 101-112. Crossref. Web.

Xu, Qingyun et al. "Crop Discrimination in Shandong Province Based on Phenology Analysis of Multi-Year Time Series." Intelligent Automation & Soft Computing 19.4 (2013): 513-523. Crossref. Web.

Zhang, Xiaoyang et al. "Monitoring Vegetation Phenology Using MODIS." Remote Sensing of Environment 84.3 (2003): 471-475. Crossref. Web.


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present


TSI Press
18015 Bullis Hill
San Antonio, TX 78258 USA
PH: 210 479 1022
FAX: 210 479 1048