Title: Spatially detailed retrievals of spring phenology from single-season high-resolution image time series
Authors: Vrieling A.SKIDMORE AndrewWANG TiejunMERONI MICHELEENS BrunoOOSTERBEEK KeesO’CONNOR BrianDARVISHZADEH RoshanakHEURICH MarcoSHEPHERD AnitaPAGANINI Marc
Citation: INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION vol. 59 p. 19-30
Publisher: ELSEVIER SCIENCE BV
Publication Year: 2017
JRC N°: JRC106113
ISSN: 0303-2434
URI: http://www.sciencedirect.com/science/article/pii/S0303243417300478
http://publications.jrc.ec.europa.eu/repository/handle/JRC106113
DOI: 10.1016/j.jag.2017.02.021
Type: Articles in periodicals and books
Abstract: tVegetation indices derived from satellite image time series have been extensively used to estimate thetiming of phenological events like season onset. Medium spatial resolution (≥250 m) satellite sensorswith daily revisit capability are typically employed for this purpose. In recent years, phenology is beingretrieved at higher resolution (≤30 m) in response to increasing availability of high-resolution satellitedata. To overcome the reduced acquisition frequency of such data, previous attempts involved fusionbetween high- and medium-resolution data, or combinations of multi-year acquisitions in a single phe-nological reconstruction. The objectives of this study are to demonstrate that phenological parameters cannow be retrieved from single-season high-resolution time series, and to compare these retrievals againstthose derived from multi-year high-resolution and single-season medium-resolution satellite data. Thestudy focuses on the island of Schiermonnikoog, the Netherlands, which comprises a highly-dynamicsaltmarsh, dune vegetation, and agricultural land. Combining NDVI series derived from atmospherically-corrected images from RapidEye (5 m-resolution) and the SPOT5 Take5 experiment (10m-resolution)acquired between March and August 2015, phenological parameters were estimated using a function fit-ting approach. We then compared results with phenology retrieved from four years of 30 m Landsat 8 OLIdata, and single-year 100 m Proba-V and 250 m MODIS temporal composites of the same period. Retrievedphenological parameters from combined RapidEye/SPOT5 displayed spatially consistent results and alarge spatial variability, providing complementary information to existing vegetation community maps.Retrievals that combined four years of Landsat observations into a single synthetic year were affected bythe inclusion of years with warmer spring temperatures, whereas adjustment of the average phenologyto 2015 observations was only feasible for a few pixels due to cloud cover around phenological transi-tion dates. The Proba-V and MODIS phenology retrievals scaled poorly relative to their high-resolutionequivalents, indicating that medium-resolution phenology retrievals need to be interpreted with care,particularly in landscapes with fine-scale land cover variability.
JRC Directorate:Sustainable Resources

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