Towards Forage Resource Monitoring in subtropical Savanna Grasslands: going multispectral or hyperspectral?
Forage supply of savanna grasslands plays a crucial role for local food security and consequently, a reliable monitoring system could help to better manage vital forage resources. To help installing such a monitoring system, we investigated whether in-situ hyperspectral data could be resampled to ma...
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Online Access: | http://dx.doi.org/10.1080/22797254.2021.1934556 |
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doaj-968e499b5f9c4aa7a0713639efecd3262021-06-21T13:17:38ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542021-01-0154136438410.1080/22797254.2021.19345561934556Towards Forage Resource Monitoring in subtropical Savanna Grasslands: going multispectral or hyperspectral?Jessica Ferner0Anja Linstädter1Christian Rogass2Karl-Heinz Südekum3Sebastian Schmidtlein4University of Bonn, Centre for Remote Sensing of Land SurfacesUniversity of Potsdam, Institute of Biochemistry and BiologyHelmholtz Centre for Environmental Research GmbH - UFZUniversity of Bonn, Institute of Animal ScienceUniversity of Bonn, Centre for Remote Sensing of Land SurfacesForage supply of savanna grasslands plays a crucial role for local food security and consequently, a reliable monitoring system could help to better manage vital forage resources. To help installing such a monitoring system, we investigated whether in-situ hyperspectral data could be resampled to match the spectral resolution of multi- and hyperspectral satellites; if the type of sensor affected model transfer; and if spatio-temporal patterns of forage characteristics could be related to environmental drivers. We established models for forage quantity (green biomass) and five forage quality proxies (metabolisable energy, acid/neutral detergent fibre, ash, phosphorus). Hyperspectral resolution of the Hyperion satellite mostly resulted in higher accuracies (i.e. higher R2, lower RMSE). When applied to satellite data, though, the greater quality of the multispectral Sentinel-2 satellite data leads to more realistic forage maps. By analysing a three-year time series, we found plant phenology and cumulated precipitation to be the most important environmental drivers of forage supply. We conclude that none of the investigated satellites provide optimal conditions for monitoring purposes. Future hyperspectral satellite missions like EnMAP, combining the high information level of Hyperion with the good data quality and resolution of Sentinel-2, will provide the prerequisites for installing a regular monitoring service.http://dx.doi.org/10.1080/22797254.2021.1934556africarangelandsremote-sensing based monitoringforagebiomass productionnutritive value |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jessica Ferner Anja Linstädter Christian Rogass Karl-Heinz Südekum Sebastian Schmidtlein |
spellingShingle |
Jessica Ferner Anja Linstädter Christian Rogass Karl-Heinz Südekum Sebastian Schmidtlein Towards Forage Resource Monitoring in subtropical Savanna Grasslands: going multispectral or hyperspectral? European Journal of Remote Sensing africa rangelands remote-sensing based monitoring forage biomass production nutritive value |
author_facet |
Jessica Ferner Anja Linstädter Christian Rogass Karl-Heinz Südekum Sebastian Schmidtlein |
author_sort |
Jessica Ferner |
title |
Towards Forage Resource Monitoring in subtropical Savanna Grasslands: going multispectral or hyperspectral? |
title_short |
Towards Forage Resource Monitoring in subtropical Savanna Grasslands: going multispectral or hyperspectral? |
title_full |
Towards Forage Resource Monitoring in subtropical Savanna Grasslands: going multispectral or hyperspectral? |
title_fullStr |
Towards Forage Resource Monitoring in subtropical Savanna Grasslands: going multispectral or hyperspectral? |
title_full_unstemmed |
Towards Forage Resource Monitoring in subtropical Savanna Grasslands: going multispectral or hyperspectral? |
title_sort |
towards forage resource monitoring in subtropical savanna grasslands: going multispectral or hyperspectral? |
publisher |
Taylor & Francis Group |
series |
European Journal of Remote Sensing |
issn |
2279-7254 |
publishDate |
2021-01-01 |
description |
Forage supply of savanna grasslands plays a crucial role for local food security and consequently, a reliable monitoring system could help to better manage vital forage resources. To help installing such a monitoring system, we investigated whether in-situ hyperspectral data could be resampled to match the spectral resolution of multi- and hyperspectral satellites; if the type of sensor affected model transfer; and if spatio-temporal patterns of forage characteristics could be related to environmental drivers. We established models for forage quantity (green biomass) and five forage quality proxies (metabolisable energy, acid/neutral detergent fibre, ash, phosphorus). Hyperspectral resolution of the Hyperion satellite mostly resulted in higher accuracies (i.e. higher R2, lower RMSE). When applied to satellite data, though, the greater quality of the multispectral Sentinel-2 satellite data leads to more realistic forage maps. By analysing a three-year time series, we found plant phenology and cumulated precipitation to be the most important environmental drivers of forage supply. We conclude that none of the investigated satellites provide optimal conditions for monitoring purposes. Future hyperspectral satellite missions like EnMAP, combining the high information level of Hyperion with the good data quality and resolution of Sentinel-2, will provide the prerequisites for installing a regular monitoring service. |
topic |
africa rangelands remote-sensing based monitoring forage biomass production nutritive value |
url |
http://dx.doi.org/10.1080/22797254.2021.1934556 |
work_keys_str_mv |
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