Quantifying landscape-level land-use intensity patterns through radar-based remote sensing
The increasing availability of high resolution and high frequency, radar-based remote sensing data (i.e. observations on land surface characteristics, insensitive to cloud interference), makes it possible to track land-use intensity more precisely at the whole landscape scale. Here, we develop a new...
Published in: | Journal of Applied Ecology |
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Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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2018
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Online Access: | https://hdl.handle.net/11370/1e0fb66f-b598-4a3c-bbea-2fb2efbbafc2 https://research.rug.nl/en/publications/1e0fb66f-b598-4a3c-bbea-2fb2efbbafc2 https://doi.org/10.1111/1365-2664.13077 https://pure.rug.nl/ws/files/61202696/Howison_et_al_2018_Journal_of_Applied_Ecology.pdf http://www.scopus.com/inward/record.url?scp=85040742347&partnerID=8YFLogxK |
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ftunigroningenpu:oai:pure.rug.nl:publications/1e0fb66f-b598-4a3c-bbea-2fb2efbbafc2 2024-06-02T08:15:59+00:00 Quantifying landscape-level land-use intensity patterns through radar-based remote sensing Howison, Ruth A. Piersma, Theunis Kentie, Rosemarie Hooijmeijer, Jos C.E.W. Olff, Han 2018-05 application/pdf https://hdl.handle.net/11370/1e0fb66f-b598-4a3c-bbea-2fb2efbbafc2 https://research.rug.nl/en/publications/1e0fb66f-b598-4a3c-bbea-2fb2efbbafc2 https://doi.org/10.1111/1365-2664.13077 https://pure.rug.nl/ws/files/61202696/Howison_et_al_2018_Journal_of_Applied_Ecology.pdf http://www.scopus.com/inward/record.url?scp=85040742347&partnerID=8YFLogxK eng eng https://research.rug.nl/en/publications/1e0fb66f-b598-4a3c-bbea-2fb2efbbafc2 info:eu-repo/semantics/openAccess Howison , R A , Piersma , T , Kentie , R , Hooijmeijer , J C E W & Olff , H 2018 , ' Quantifying landscape-level land-use intensity patterns through radar-based remote sensing ' , Journal of Applied Ecology , vol. 55 , no. 3 , pp. 1276-1287 . https://doi.org/10.1111/1365-2664.13077 Black-tailed godwit Change detection Habitat preference Land-use intensity MODIS EVI Mowing frequency Radar Remote sensing Sentinel C-SAR Temporal stability article 2018 ftunigroningenpu https://doi.org/10.1111/1365-2664.13077 2024-05-07T20:15:45Z The increasing availability of high resolution and high frequency, radar-based remote sensing data (i.e. observations on land surface characteristics, insensitive to cloud interference), makes it possible to track land-use intensity more precisely at the whole landscape scale. Here, we develop a new radar-based remote sensing technique for large-scale quantification of agricultural land-use intensity across human-dominated landscapes. We compare the respective abilities of Sentinel-1 C-band radar (C-SAR, C-band synthetic aperture radar) remote sensing data with the more traditional optical data, as MODIS enhanced vegetation indices (MODIS EVI), in capturing seasonality and the magnitude of land-use intensity (quantity and frequency of biomass removal). Linking our novel radar-based change detection algorithm to agricultural management activities on the ground, we quantify a whole landscape according to timing of mowing, a key grassland disturbance, thus capturing the dynamics of mowing regimes in grasslands. We found that the radar-based proxy provides a rapid and reliable measure of land-use intensity, reliably predicting plant community composition at the landscape scale. We tested this methodology using data on black-tailed godwits (Limosa limosa limosa), a specialist breeder of lowland meadows which, over the last 50 years, has shown dramatic declines. During territory establishment, black-tailed godwits preferentially used fields corresponding to intermediate radar-sensed land-use intensities. However, the present-day timing of mowing in these habitats was such that most godwit broods were less likely to be successful than broods in grasslands used at a lower intensity. Synthesis and applications. The newly developed radar-based land-use intensity quantification is a powerful tool that makes it possible for ecologists and land managers to include agricultural land-use intensity measurements in population studies of the plants, insects, birds and mammals using these landscapes, at the spatial scale of entire ... Article in Journal/Newspaper black-tailed godwit Limosa limosa University of Groningen research database Journal of Applied Ecology 55 3 1276 1287 |
institution |
Open Polar |
collection |
University of Groningen research database |
op_collection_id |
ftunigroningenpu |
language |
English |
topic |
Black-tailed godwit Change detection Habitat preference Land-use intensity MODIS EVI Mowing frequency Radar Remote sensing Sentinel C-SAR Temporal stability |
spellingShingle |
Black-tailed godwit Change detection Habitat preference Land-use intensity MODIS EVI Mowing frequency Radar Remote sensing Sentinel C-SAR Temporal stability Howison, Ruth A. Piersma, Theunis Kentie, Rosemarie Hooijmeijer, Jos C.E.W. Olff, Han Quantifying landscape-level land-use intensity patterns through radar-based remote sensing |
topic_facet |
Black-tailed godwit Change detection Habitat preference Land-use intensity MODIS EVI Mowing frequency Radar Remote sensing Sentinel C-SAR Temporal stability |
description |
The increasing availability of high resolution and high frequency, radar-based remote sensing data (i.e. observations on land surface characteristics, insensitive to cloud interference), makes it possible to track land-use intensity more precisely at the whole landscape scale. Here, we develop a new radar-based remote sensing technique for large-scale quantification of agricultural land-use intensity across human-dominated landscapes. We compare the respective abilities of Sentinel-1 C-band radar (C-SAR, C-band synthetic aperture radar) remote sensing data with the more traditional optical data, as MODIS enhanced vegetation indices (MODIS EVI), in capturing seasonality and the magnitude of land-use intensity (quantity and frequency of biomass removal). Linking our novel radar-based change detection algorithm to agricultural management activities on the ground, we quantify a whole landscape according to timing of mowing, a key grassland disturbance, thus capturing the dynamics of mowing regimes in grasslands. We found that the radar-based proxy provides a rapid and reliable measure of land-use intensity, reliably predicting plant community composition at the landscape scale. We tested this methodology using data on black-tailed godwits (Limosa limosa limosa), a specialist breeder of lowland meadows which, over the last 50 years, has shown dramatic declines. During territory establishment, black-tailed godwits preferentially used fields corresponding to intermediate radar-sensed land-use intensities. However, the present-day timing of mowing in these habitats was such that most godwit broods were less likely to be successful than broods in grasslands used at a lower intensity. Synthesis and applications. The newly developed radar-based land-use intensity quantification is a powerful tool that makes it possible for ecologists and land managers to include agricultural land-use intensity measurements in population studies of the plants, insects, birds and mammals using these landscapes, at the spatial scale of entire ... |
format |
Article in Journal/Newspaper |
author |
Howison, Ruth A. Piersma, Theunis Kentie, Rosemarie Hooijmeijer, Jos C.E.W. Olff, Han |
author_facet |
Howison, Ruth A. Piersma, Theunis Kentie, Rosemarie Hooijmeijer, Jos C.E.W. Olff, Han |
author_sort |
Howison, Ruth A. |
title |
Quantifying landscape-level land-use intensity patterns through radar-based remote sensing |
title_short |
Quantifying landscape-level land-use intensity patterns through radar-based remote sensing |
title_full |
Quantifying landscape-level land-use intensity patterns through radar-based remote sensing |
title_fullStr |
Quantifying landscape-level land-use intensity patterns through radar-based remote sensing |
title_full_unstemmed |
Quantifying landscape-level land-use intensity patterns through radar-based remote sensing |
title_sort |
quantifying landscape-level land-use intensity patterns through radar-based remote sensing |
publishDate |
2018 |
url |
https://hdl.handle.net/11370/1e0fb66f-b598-4a3c-bbea-2fb2efbbafc2 https://research.rug.nl/en/publications/1e0fb66f-b598-4a3c-bbea-2fb2efbbafc2 https://doi.org/10.1111/1365-2664.13077 https://pure.rug.nl/ws/files/61202696/Howison_et_al_2018_Journal_of_Applied_Ecology.pdf http://www.scopus.com/inward/record.url?scp=85040742347&partnerID=8YFLogxK |
genre |
black-tailed godwit Limosa limosa |
genre_facet |
black-tailed godwit Limosa limosa |
op_source |
Howison , R A , Piersma , T , Kentie , R , Hooijmeijer , J C E W & Olff , H 2018 , ' Quantifying landscape-level land-use intensity patterns through radar-based remote sensing ' , Journal of Applied Ecology , vol. 55 , no. 3 , pp. 1276-1287 . https://doi.org/10.1111/1365-2664.13077 |
op_relation |
https://research.rug.nl/en/publications/1e0fb66f-b598-4a3c-bbea-2fb2efbbafc2 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1111/1365-2664.13077 |
container_title |
Journal of Applied Ecology |
container_volume |
55 |
container_issue |
3 |
container_start_page |
1276 |
op_container_end_page |
1287 |
_version_ |
1800740325132599296 |