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  Detecting phenological development of winter wheat and winter barley using time series of Sentinel-1 and Sentinel-2

Harfenmeister, K., Itzerott, S., Weltzien, C., Spengler, D. (2021): Detecting phenological development of winter wheat and winter barley using time series of Sentinel-1 and Sentinel-2. - Remote Sensing, 13, 24, 5036.
https://doi.org/10.3390/rs13245036

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 Creators:
Harfenmeister, Katharina1, 2, Author              
Itzerott, S.1, 2, Author              
Weltzien, Cornelia2, 3, Author
Spengler, Daniel1, 2, Author              
Affiliations:
11.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146028              
2TERENO, Deutsches GeoForschungsZentrum, ou_5026871              
3External Organizations, ou_persistent22              

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 Abstract: Monitoring the phenological development of agricultural plants is of high importance for farmers to adapt their management strategies and estimate yields. The aim of this study is to analyze the sensitivity of remote sensing features to phenological development of winter wheat and winter barley and to test their transferability in two test sites in Northeast Germany and in two years. Local minima, local maxima and breakpoints of smoothed time series of synthetic aperture radar (SAR) data of the Sentinel-1 VH (vertical-horizontal) and VV (vertical-vertical) intensities and their ratio VH/VV; of the polarimetric features entropy, anisotropy and alpha derived from polarimetric decomposition; as well as of the vegetation index NDVI (Normalized Difference Vegetation Index) calculated using optical data of Sentinel-2 are compared with entry dates of phenological stages. The beginning of stem elongation produces a breakpoint in the time series of most parameters for wheat and barley. Furthermore, the beginning of heading could be detected by all parameters, whereas particularly a local minimum of VH and VV backscatter is observed less then 5 days before the entry date. The medium milk stage can not be detected reliably, whereas the hard dough stage of barley takes place approximately 6–8 days around a local maximum of VH backscatter in 2018. Harvest is detected for barley using the fourth breakpoint of most parameters. The study shows that backscatter and polarimetric parameters as well as the NDVI are sensitive to specific phenological developments. The transferability of the approach is demonstrated, whereas differences between test sites and years are mainly caused by meteorological differences.

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Language(s): eng - English
 Dates: 2021-12-092021-12-112021
 Publication Status: Finally published
 Pages: 22
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3390/rs13245036
OATYPE: Gold Open Access
GFZPOF: p4 T5 Future Landscapes
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Title: Remote Sensing
Source Genre: Journal, SCI, Scopus, OA
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Pages: - Volume / Issue: 13 (24) Sequence Number: 5036 Start / End Page: - Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/journals426
Publisher: MDPI