Potential of Sentinel-1 SAR to Assess Damage in Drought-Affected Temperate Deciduous Broadleaf Forests

Author:

Schellenberg Konstantin12ORCID,Jagdhuber Thomas34ORCID,Zehner Markus1ORCID,Hese Sören1ORCID,Urban Marcel15ORCID,Urbazaev Mikhail16ORCID,Hartmann Henrik27ORCID,Schmullius Christiane1,Dubois Clémence1

Affiliation:

1. Department for Earth Observation, Institute for Geography, Friedrich-Schiller-University, Leutragraben 1, 07743 Jena, Germany

2. Department of Biogeochemical Processes, Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße 10, 07745 Jena, Germany

3. Department of Reconnaissance and Security, Microwaves and Radar Institute, German Aerospace Center, 82234 Weßling, Germany

4. Institute of Geography, University of Augsburg, Alter Postweg 118, 86159 Augsburg, Germany

5. ESN EnergieSystemeNord GmbH, Kahlaische Str. 4, 07745 Jena, Germany

6. Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA

7. Institute for Forest Protection, Julius Kühn-Institute, Federal Research Centre for Cultivated Plants, 06484 Quedlinburg, Germany

Abstract

Understanding forest decline under drought pressure is receiving research attention due to the increasing frequency of large-scale heat waves and massive tree mortality events. However, since assessing mortality on the ground is challenging and costly, this study explores the capability of satellite-borne Copernicus Sentinel-1 (S-1) C-band radar data for monitoring drought-induced tree canopy damage. As droughts cause water deficits in trees and eventually lead to early foliage loss, the S-1 radiometric signal and polarimetric indices are tested regarding their sensitivities to these effects, exemplified in a deciduous broadleaf forest. Due to the scattered nature of mortality in the study site, we employed a temporal-only time series filtering scheme that provides very high spatial resolution (10 m ×10 m) for measuring at the scale of single trees. Finally, the anomaly between heavily damaged and non-damaged tree canopy samples (n = 146 per class) was used to quantify the level of damage. With a maximum anomaly of −0.50 dB ± 1.38 for S-1 Span (VV+VH), a significant decline in hydrostructural scattering (moisture and geometry of scatterers as seen by SAR) was found in the second year after drought onset. By contrast, S-1 polarimetric indices (cross-ratio, RVI, Hα) showed limited capability in detecting drought effects. From our time series evaluation, we infer that damaged canopies exhibit both lower leaf-on and leaf-off backscatters compared to unaffected canopies. We further introduce an NDVI/Span hysteresis showing a lagged signal anomaly of Span behind NDVI (by ca. one year). This time-lagged correlation implies that SAR is able to add complementary information to optical remote sensing data for detecting drought damage due to its sensitivity to physiological and hydraulic tree canopy damage. Our study lays out the promising potential of SAR remote sensing information for drought impact assessment in deciduous broadleaf forests.

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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