Deriving plant phenology from remote sensing

G.J. Roerink, M.H.G.I. Danes, O.G. Prieto, A.J.W. de Wit, A.J.H. van Vliet

Research output: Chapter in Book/Report/Conference proceedingAbstractAcademic

2 Citations (Scopus)

Abstract

Plant phenology is the study of the timing of periodic vegetation cycles and their connection to climate. Examples are the date of emergence of leaves and flowers or the date of leaf colouring and fall in deciduous trees. It is an independent measure on how ecosystems are responding to climate change and therefore experiencing renewed interest from the scientific research community. This paper describes a method to derive plant phenology indicators from time series of satellite images. The satellite images are Normalized Difference Vegetation Index (NDVI) images from the MODIS sensor, which encompass the European continent from 2000 onwards. The Harmonic Analysis of NDVI Time Series (HANTS) algorithm is used to process and analyse the time series of satellite images for each individual year. The resulting amplitude and phase values are translated into commonly understandable phenology indicators like start of growing season, which can be linked again to the biological definitions of plant phenology. The indicators are validated with field observations, recorded by a volunteer's network in the Netherlands and Germany. Conclusions are that the method produces consistant maps, which correlate well with the crop type. However, on average the remote sensing derived start of season is 14 days earlier than the observed values.
Original languageEnglish
Title of host publicationProceedings of 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011, Trento, Italy, 12 - 14 July, 2011
Place of PublicationTrento
Pages261-264
DOIs
Publication statusPublished - 2011
Event6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011, Trento, Italy -
Duration: 12 Jul 201114 Jul 2011

Workshop

Workshop6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011, Trento, Italy
Period12/07/1114/07/11

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    Roerink, G. J., Danes, M. H. G. I., Prieto, O. G., de Wit, A. J. W., & van Vliet, A. J. H. (2011). Deriving plant phenology from remote sensing. In Proceedings of 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011, Trento, Italy, 12 - 14 July, 2011 (pp. 261-264). https://doi.org/10.1109/Multi-Temp.2011.6005098