Long-term continuity in land surface phenology measurements: A comparative assessment of the MODIS land cover dynamics and VIIRS land surface phenology products
| Autor: | Josh M. Gray, Minkyu Moon, Eli K. Melaas, Lingling Liu, Mark A. Friedl, Xiaoyang Zhang, Geoffrey M. Henebry |
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| Rok vydání: | 2019 |
| Předmět: |
Visible Infrared Imaging Radiometer Suite
010504 meteorology & atmospheric sciences Phenology 0208 environmental biotechnology Soil Science Geology 02 engineering and technology Land cover Enhanced vegetation index Vegetation Seasonality medicine.disease 01 natural sciences 020801 environmental engineering medicine Environmental science Terrestrial ecosystem Moderate-resolution imaging spectroradiometer Computers in Earth Sciences 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | Remote Sensing of Environment. 226:74-92 |
| ISSN: | 0034-4257 |
| DOI: | 10.1016/j.rse.2019.03.034 |
| Popis: | Vegetation phenology contributes to, and is diagnostic of, seasonal variation in ecosystem processes and exerts important controls on land-atmosphere exchanges of carbon, water, and energy. Satellite remote sensing provides a valuable source of data for monitoring the phenology of terrestrial ecosystems and has been widely used to map geographic and interannual variation in land surface phenology (LSP) over large areas. The Visible Infrared Imaging Radiometer Suite (VIIRS) land surface phenology product provides global data sets characterizing the annual LSP of terrestrial ecosystems, and is designed to support long-term continuity of LSP measurements from the Moderate Resolution Imaging Spectroradiometer (MODIS). We used data from VIIRS and MODIS to evaluate the agreement and characterize the similarities and differences between LSP data from each instrument. Specifically, we compare data from the Collection 6 MODIS Land Cover Dynamics (LCD) product with data from the newly developed VIIRS LSP product over the most common land cover types in North America. To do this, we assessed the overall agreement between time series of vegetation indices from VIIRS and MODIS, evaluated the correspondence between retrieved phenometrics from each instrument, and analyzed sources of differences between phenometrics from the each product. As part of this analysis, we also compared phenometrics from MODIS and VIIRS with phenometrics derived from Landsat Analysis Ready Data and PhenoCam time series. Results show that two-band enhanced vegetation index (EVI2) values from VIIRS and MODIS are similar (R2 > 0.81; root mean square deviation |
| Databáze: | OpenAIRE |
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