Dual Polarimetric Radar Vegetation Index for monitoring forest moisture stress using time series of Sentinel‐1 SAR data DOI Creative Commons
B. Ranjit, W. Bijker, Hossein Aghababaei

et al.

Plant Biology, Journal Year: 2025, Volume and Issue: unknown

Published: May 16, 2025

Abstract Global warming and anthropogenic climate change have intensified drought occurrences, raising concerns about their escalating frequency, intensity, persistence. With the projection that droughts will increase at end of century, it is important to find efficient cost‐effective methods assess monitor impacts. We leverage freely available satellite‐based remote sensing images study stress in forest. In this study, we evaluate impact intense prolonged on temperate broadleaf deciduous forests using Sentinel‐1 (S1) Synthetic Aperture Radar (SAR) time series data. For first time, used S1‐derived Dual Polarimetric Vegetation Index (DpRVI) detect characterize effects forests. Monthly median DpRVI deviations were obtained from S1 SAR acquired between 13 October 2014 3 July 2023. The forest exhibited through a decline during droughts. These can be attributed both reduced canopy branches leaves, decreased water content. onset 2018 was captured with negative deviations. An accumulated effect multi‐year 2018–2020 occurred, as evident by increased subsequent years up 2021. This demonstrates potential impacts canopies. Further investigation should carried out discriminate relative contributions declining content changes amount structure leaves observed decline.

Language: Английский

Dual Polarimetric Radar Vegetation Index for monitoring forest moisture stress using time series of Sentinel‐1 SAR data DOI Creative Commons
B. Ranjit, W. Bijker, Hossein Aghababaei

et al.

Plant Biology, Journal Year: 2025, Volume and Issue: unknown

Published: May 16, 2025

Abstract Global warming and anthropogenic climate change have intensified drought occurrences, raising concerns about their escalating frequency, intensity, persistence. With the projection that droughts will increase at end of century, it is important to find efficient cost‐effective methods assess monitor impacts. We leverage freely available satellite‐based remote sensing images study stress in forest. In this study, we evaluate impact intense prolonged on temperate broadleaf deciduous forests using Sentinel‐1 (S1) Synthetic Aperture Radar (SAR) time series data. For first time, used S1‐derived Dual Polarimetric Vegetation Index (DpRVI) detect characterize effects forests. Monthly median DpRVI deviations were obtained from S1 SAR acquired between 13 October 2014 3 July 2023. The forest exhibited through a decline during droughts. These can be attributed both reduced canopy branches leaves, decreased water content. onset 2018 was captured with negative deviations. An accumulated effect multi‐year 2018–2020 occurred, as evident by increased subsequent years up 2021. This demonstrates potential impacts canopies. Further investigation should carried out discriminate relative contributions declining content changes amount structure leaves observed decline.

Language: Английский

Citations

0