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Proceedings Paper

Combining optical remote sensing data with in-situ measurements in order to estimate vegetation parameters on agricultural fields and corresponding uncertainties
Author(s): Katharina Heupel; Daniel Spengler; Cornelia Weltzien
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Paper Abstract

The estimation and quantification of vegetation parameters on field-scale is necessary to make statements about potential yield and the heterogeneity of its spatial distribution. The ESA satellite mission Sentinel-2 provides optical remote sensing data with a high temporal resolution allowing for an extensive monitoring of agricultural fields. In order to quantify the vegetation parameters as well as to calibrate and validate regression models, additional in-situ measurements are essential. Comprehensive field measurements in two study areas in Germany have been conducted in the growing season 2017 parallel to Sentinel-2 image acquisitions. All ground truth data form a dense time series of the vegetation parameters crop height, crop coverage, chlorophyll content, leaf area index, and wet and dry biomass. First results show a strong linear relation between dry and wet biomass, whereas the slope of the regression line changes with increasing phenological growth stage. Furthermore, there is a clear relationship between in-situ measured wet and dry biomass and NDVI in the early vegetation period, but a saturation occurs in later growth stages. The paper represents a status report of current work in progress, reports first results and gives an outlook of future work.

Paper Details

Date Published: 2 November 2017
PDF: 9 pages
Proc. SPIE 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX, 1042124 (2 November 2017); doi: 10.1117/12.2280409
Show Author Affiliations
Katharina Heupel, GFZ German Research Ctr. for Geosciences (Germany)
Daniel Spengler, GFZ German Research Ctr. for Geosciences (Germany)
Cornelia Weltzien, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) (Germany)

Published in SPIE Proceedings Vol. 10421:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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