POTENTIAL OF MULTITEMPORAL TANDEM-X DERIVED CROP SURFACE MODELS FOR MAIZE GROWTH MONITORING
In this study, first results of retrieving plant heights of maize fields from multitemporal TanDEM-X images are shown. Three TanDEM-X dual polarization spotlight acquisitions were taken over a rural area in Germany in the growing season 2014. By interferometric processing, digital terrain models (...
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doaj-3eaa4dd312554750926188e95badf9152020-11-24T21:11:29ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B780380810.5194/isprs-archives-XLI-B7-803-2016POTENTIAL OF MULTITEMPORAL TANDEM-X DERIVED CROP SURFACE MODELS FOR MAIZE GROWTH MONITORINGC. Hütt0N. Tilly1H. Schiedung2G. Bareth3University of Cologne, Institute of Geography, 50923 Cologne, GermanyUniversity of Cologne, Institute of Geography, 50923 Cologne, GermanyUniversity of Bonn, Institute of Crop Science and Resource Conservation, 53121 Bonn, GermanyUniversity of Cologne, Institute of Geography, 50923 Cologne, GermanyIn this study, first results of retrieving plant heights of maize fields from multitemporal TanDEM-X images are shown. Three TanDEM-X dual polarization spotlight acquisitions were taken over a rural area in Germany in the growing season 2014. By interferometric processing, digital terrain models (DTM) were derived for each date with 5m resolution. From the data of the first acquisition (June 1st) taken before planting, a DTM of the bare ground is generated. The data of the following acquisition dates (July 15th, July 26th) are used to establish crop surface models (CSM). A CSM represents the crop surface of a whole field in a high resolution. By subtracting the DTM of the ground from each CSM, the actual plant height is calculated. Within these data sets 30 maize fields in the area of interest could be detected and verified by external land use data. Besides the spaceborne measurements, one of the maize fields was intensively investigated using terrestrial laser scanning (TLS), which was carried out at the same dates as the predicted TanDEM-X acquisitions. Visual inspection of the derived plant heights, and accordance of the individually processed polarisations over the maize fields, demonstrate the feasibility of the proposed method. Unfortunately, the infield variability of the intensively monitored field could not be successfully captured in the TanDEM-X derived plant heights and merely the general trend is visible. Nevertheless, the study shows the potential of the TanDEM-X constellation for maize height monitoring on field level.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/803/2016/isprs-archives-XLI-B7-803-2016.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
C. Hütt N. Tilly H. Schiedung G. Bareth |
spellingShingle |
C. Hütt N. Tilly H. Schiedung G. Bareth POTENTIAL OF MULTITEMPORAL TANDEM-X DERIVED CROP SURFACE MODELS FOR MAIZE GROWTH MONITORING The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
C. Hütt N. Tilly H. Schiedung G. Bareth |
author_sort |
C. Hütt |
title |
POTENTIAL OF MULTITEMPORAL TANDEM-X DERIVED CROP SURFACE MODELS FOR MAIZE GROWTH MONITORING |
title_short |
POTENTIAL OF MULTITEMPORAL TANDEM-X DERIVED CROP SURFACE MODELS FOR MAIZE GROWTH MONITORING |
title_full |
POTENTIAL OF MULTITEMPORAL TANDEM-X DERIVED CROP SURFACE MODELS FOR MAIZE GROWTH MONITORING |
title_fullStr |
POTENTIAL OF MULTITEMPORAL TANDEM-X DERIVED CROP SURFACE MODELS FOR MAIZE GROWTH MONITORING |
title_full_unstemmed |
POTENTIAL OF MULTITEMPORAL TANDEM-X DERIVED CROP SURFACE MODELS FOR MAIZE GROWTH MONITORING |
title_sort |
potential of multitemporal tandem-x derived crop surface models for maize growth monitoring |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2016-06-01 |
description |
In this study, first results of retrieving plant heights of maize fields from multitemporal TanDEM-X images are shown. Three
TanDEM-X dual polarization spotlight acquisitions were taken over a rural area in Germany in the growing season 2014. By
interferometric processing, digital terrain models (DTM) were derived for each date with 5m resolution. From the data of the first
acquisition (June 1st) taken before planting, a DTM of the bare ground is generated. The data of the following acquisition dates (July
15th, July 26th) are used to establish crop surface models (CSM). A CSM represents the crop surface of a whole field in a high resolution.
By subtracting the DTM of the ground from each CSM, the actual plant height is calculated. Within these data sets 30 maize
fields in the area of interest could be detected and verified by external land use data. Besides the spaceborne measurements, one of the
maize fields was intensively investigated using terrestrial laser scanning (TLS), which was carried out at the same dates as the predicted
TanDEM-X acquisitions. Visual inspection of the derived plant heights, and accordance of the individually processed polarisations over
the maize fields, demonstrate the feasibility of the proposed method. Unfortunately, the infield variability of the intensively monitored
field could not be successfully captured in the TanDEM-X derived plant heights and merely the general trend is visible. Nevertheless,
the study shows the potential of the TanDEM-X constellation for maize height monitoring on field level. |
url |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/803/2016/isprs-archives-XLI-B7-803-2016.pdf |
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