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- Publisher Website: 10.1016/j.rse.2010.08.009
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Article: Real-time retrieval of Leaf Area Index from MODIS time series data
Title | Real-time retrieval of Leaf Area Index from MODIS time series data |
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Authors | |
Keywords | Ensemble Kalman Filter Leaf Area Index MODIS Real-time inversion SARIMA model Time series analysis |
Issue Date | 2011 |
Citation | Remote Sensing of Environment, 2011, v. 115, n. 1, p. 97-106 How to Cite? |
Abstract | Real-time/near real-time inversion of land surface biogeophysical variables from satellite observations is required to monitor rapid land surface changes, and provide the necessary input for numerical weather forecasting models and decision support systems. This paper develops a new inversion method for the real-time estimation of the Leaf Area Index (LAI) of land surfaces from MODIS time series reflectance data (MOD09A1). It consists of a series of procedures, including time series data smoothing, data quality control and real-time estimation of LAI. After the historical LAI time series is smoothed by a multi-step Savitzky-Golay filter to determine the upper LAI envelope, a Seasonal Auto-Regressive Integrated Moving Average (SARIMA) model is used to derive the LAI climatology. Based on the climatology from the SARIMA model to evolve LAI in time, a dynamic model is then constructed and used to provide the short-range forecast of LAI. Predictions from this model are used with Ensemble Kalman Filter (EnKF) techniques to recursively update biophysical variables as new observations arrive. The validation results produced using MODIS surface reflectance data and field-measured LAI data at eight BELMANIP sites show that the real-time inversion method is able to efficiently produce a relatively smooth LAI product. In addition, the accuracy is significantly improved over the MODIS LAI product. © 2010 Elsevier Inc. |
Persistent Identifier | http://hdl.handle.net/10722/321424 |
ISSN | 2021 Impact Factor: 13.850 2020 SCImago Journal Rankings: 3.611 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Xiao, Zhiqiang | - |
dc.contributor.author | Liang, Shunlin | - |
dc.contributor.author | Wang, Jindi | - |
dc.contributor.author | Jiang, Bo | - |
dc.contributor.author | Li, Xijia | - |
dc.date.accessioned | 2022-11-03T02:18:50Z | - |
dc.date.available | 2022-11-03T02:18:50Z | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | Remote Sensing of Environment, 2011, v. 115, n. 1, p. 97-106 | - |
dc.identifier.issn | 0034-4257 | - |
dc.identifier.uri | http://hdl.handle.net/10722/321424 | - |
dc.description.abstract | Real-time/near real-time inversion of land surface biogeophysical variables from satellite observations is required to monitor rapid land surface changes, and provide the necessary input for numerical weather forecasting models and decision support systems. This paper develops a new inversion method for the real-time estimation of the Leaf Area Index (LAI) of land surfaces from MODIS time series reflectance data (MOD09A1). It consists of a series of procedures, including time series data smoothing, data quality control and real-time estimation of LAI. After the historical LAI time series is smoothed by a multi-step Savitzky-Golay filter to determine the upper LAI envelope, a Seasonal Auto-Regressive Integrated Moving Average (SARIMA) model is used to derive the LAI climatology. Based on the climatology from the SARIMA model to evolve LAI in time, a dynamic model is then constructed and used to provide the short-range forecast of LAI. Predictions from this model are used with Ensemble Kalman Filter (EnKF) techniques to recursively update biophysical variables as new observations arrive. The validation results produced using MODIS surface reflectance data and field-measured LAI data at eight BELMANIP sites show that the real-time inversion method is able to efficiently produce a relatively smooth LAI product. In addition, the accuracy is significantly improved over the MODIS LAI product. © 2010 Elsevier Inc. | - |
dc.language | eng | - |
dc.relation.ispartof | Remote Sensing of Environment | - |
dc.subject | Ensemble Kalman Filter | - |
dc.subject | Leaf Area Index | - |
dc.subject | MODIS | - |
dc.subject | Real-time inversion | - |
dc.subject | SARIMA model | - |
dc.subject | Time series analysis | - |
dc.title | Real-time retrieval of Leaf Area Index from MODIS time series data | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.rse.2010.08.009 | - |
dc.identifier.scopus | eid_2-s2.0-77958151711 | - |
dc.identifier.volume | 115 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 97 | - |
dc.identifier.epage | 106 | - |
dc.identifier.isi | WOS:000284663500009 | - |