Tracing Real-Time Transnational Hydrologic Sensitivity and Crop Irrigation in the Upper Rhine Area over the Exceptional Drought Episode 2018–2020 Using Open Source Sentinel-2 Data

Climate and regional land-use and landcover change (LUCC) impact the ecosystem of the Upper Rhine Area (URA) and transform large parts of the landscape into strongly irrigated agricultural cropland. The increase of long-term drought periods and the trend towards low summer precipitation totals trigg...

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Main Authors: Michael Kempf, Rüdiger Glaser
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/12/3298
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spelling doaj-4ea9f5193a6b4b30b0830948e0453ca42020-11-27T07:54:22ZengMDPI AGWater2073-44412020-11-01123298329810.3390/w12123298Tracing Real-Time Transnational Hydrologic Sensitivity and Crop Irrigation in the Upper Rhine Area over the Exceptional Drought Episode 2018–2020 Using Open Source Sentinel-2 DataMichael Kempf0Rüdiger Glaser1Physical Geography, Institute of Environmental Social Science and Geography, Faculty of Environment and Natural Resources, University of Freiburg, Germany; Schreiberstr., 20, 79085 Freiburg, GermanyPhysical Geography, Institute of Environmental Social Science and Geography, Faculty of Environment and Natural Resources, University of Freiburg, Germany; Schreiberstr., 20, 79085 Freiburg, GermanyClimate and regional land-use and landcover change (LUCC) impact the ecosystem of the Upper Rhine Area (URA) and transform large parts of the landscape into strongly irrigated agricultural cropland. The increase of long-term drought periods and the trend towards low summer precipitation totals trigger an increase in groundwater scarcity and amplify the negative effects of extensive irrigation purposes and freshwater consumption in a hydrologically sensitive region in Central Europe. This article presents qualitative transnational open source remote sensing temporal series of vegetation indices (NDVI) and groundwater level development to tracing near real-time vegetation change and socio-ecological feedbacks during periods of climate extremes in the Upper Rhine Area (2018–2020). Increased freshwater consumption caused a dramatic drop in groundwater availability, which eventually led to a strong degradation of the vegetation canopy and caused governmental regulations in July 2020. Assessing vegetation growth behavior and linking groundwater reactions in the URA through open source satellite data contributes to a rapidly accessible understanding of the ecosystem’s feedbacks on the local to the transnational scale and further enables risk management and eco-political regulations in current and future decision-making processes.https://www.mdpi.com/2073-4441/12/12/3298land-usedrought episodesNDVICentral Europeopen source datawater scarcity
collection DOAJ
language English
format Article
sources DOAJ
author Michael Kempf
Rüdiger Glaser
spellingShingle Michael Kempf
Rüdiger Glaser
Tracing Real-Time Transnational Hydrologic Sensitivity and Crop Irrigation in the Upper Rhine Area over the Exceptional Drought Episode 2018–2020 Using Open Source Sentinel-2 Data
Water
land-use
drought episodes
NDVI
Central Europe
open source data
water scarcity
author_facet Michael Kempf
Rüdiger Glaser
author_sort Michael Kempf
title Tracing Real-Time Transnational Hydrologic Sensitivity and Crop Irrigation in the Upper Rhine Area over the Exceptional Drought Episode 2018–2020 Using Open Source Sentinel-2 Data
title_short Tracing Real-Time Transnational Hydrologic Sensitivity and Crop Irrigation in the Upper Rhine Area over the Exceptional Drought Episode 2018–2020 Using Open Source Sentinel-2 Data
title_full Tracing Real-Time Transnational Hydrologic Sensitivity and Crop Irrigation in the Upper Rhine Area over the Exceptional Drought Episode 2018–2020 Using Open Source Sentinel-2 Data
title_fullStr Tracing Real-Time Transnational Hydrologic Sensitivity and Crop Irrigation in the Upper Rhine Area over the Exceptional Drought Episode 2018–2020 Using Open Source Sentinel-2 Data
title_full_unstemmed Tracing Real-Time Transnational Hydrologic Sensitivity and Crop Irrigation in the Upper Rhine Area over the Exceptional Drought Episode 2018–2020 Using Open Source Sentinel-2 Data
title_sort tracing real-time transnational hydrologic sensitivity and crop irrigation in the upper rhine area over the exceptional drought episode 2018–2020 using open source sentinel-2 data
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2020-11-01
description Climate and regional land-use and landcover change (LUCC) impact the ecosystem of the Upper Rhine Area (URA) and transform large parts of the landscape into strongly irrigated agricultural cropland. The increase of long-term drought periods and the trend towards low summer precipitation totals trigger an increase in groundwater scarcity and amplify the negative effects of extensive irrigation purposes and freshwater consumption in a hydrologically sensitive region in Central Europe. This article presents qualitative transnational open source remote sensing temporal series of vegetation indices (NDVI) and groundwater level development to tracing near real-time vegetation change and socio-ecological feedbacks during periods of climate extremes in the Upper Rhine Area (2018–2020). Increased freshwater consumption caused a dramatic drop in groundwater availability, which eventually led to a strong degradation of the vegetation canopy and caused governmental regulations in July 2020. Assessing vegetation growth behavior and linking groundwater reactions in the URA through open source satellite data contributes to a rapidly accessible understanding of the ecosystem’s feedbacks on the local to the transnational scale and further enables risk management and eco-political regulations in current and future decision-making processes.
topic land-use
drought episodes
NDVI
Central Europe
open source data
water scarcity
url https://www.mdpi.com/2073-4441/12/12/3298
work_keys_str_mv AT michaelkempf tracingrealtimetransnationalhydrologicsensitivityandcropirrigationintheupperrhineareaovertheexceptionaldroughtepisode20182020usingopensourcesentinel2data
AT rudigerglaser tracingrealtimetransnationalhydrologicsensitivityandcropirrigationintheupperrhineareaovertheexceptionaldroughtepisode20182020usingopensourcesentinel2data
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