Potential of Sentinel-1 time series data for the estimation of season length in winter wheat phenology

M. Schlund, Felix Lobert, Stefan Erasmi

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Time series analysis has high potential for the monitoring of agricultural management intensity and crop yield. The C-band synthetic aperture radar (SAR) data from Sentinel-1 provide a unique source to create area-wide dense time series of indicators that are sensitive to crop parameters. Here, time series of backscattering coefficient ratio from Sentinel-1 were established in individual winter wheat fields over three consecutive years. Phenology metrics were computed in order to indicate the length of the season, where the plant is substantially growing in height and building biomass. The average estimated lengths of season of winter wheat were 112 days in 2017, 77 days in 2018 and 91 days in 2019. The observed lengths of the season in the reference were 114 days in 2017, 73 days in 2018 and 88 days in 2019. The results for the individual winter wheat fields show that the length of the season was estimated with an RMSD (root mean squared deviation) of less than 2 weeks for all three years. The results confirmed that the VH/VV ratio has high potential for monitoring phenological features.
Original languageEnglish
Title of host publication2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
PublisherIEEE
Pages5917-5920
Number of pages4
ISBN (Electronic)978-1-6654-0369-6
ISBN (Print)978-1-6654-4762-1
DOIs
Publication statusPublished - 11 Jul 2021
EventIEEE- International Geoscience and Remote Sensing Symposium- IGARSS 2021 - Brussels, Virtual Conference
Duration: 12 Jul 202116 Jul 2021
https://igarss2021.com

Conference

ConferenceIEEE- International Geoscience and Remote Sensing Symposium- IGARSS 2021
CityVirtual Conference
Period12/07/2116/07/21
Internet address

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