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2 results on '"Interferometric synthetic aperture radar (InSAR) data"'

1. Spaceborne height models reveal above ground biomass changes in tropical landscapes

Author

Birgit Wessel, Christoph Leuschner, Nicolò Camarretta, Holger Kreft, Stefan Erasmi, Fabian Brambach, I Nengah Surati Jaya, Mangarah Silalahi, Martyna M. Kotowska, Michael Schlund, Jonas Hein, Department of Natural Resources, UT-I-ITC-FORAGES, and Faculty of Geo-Information Science and Earth Observation

Subjects
0106 biological sciences, Canopy, Coefficient of determination, 010504 meteorology & atmospheric sciences, Sustainable forest management, UT-Hybrid-D, Height models, Management, Monitoring, Policy and Law, Atmospheric sciences, 010603 evolutionary biology, 01 natural sciences, ITC-HYBRID, Aboveground biomass change, Interferometric synthetic aperture radar, Tropical rainforest, Ecosystem, 0105 earth and related environmental sciences, Nature and Landscape Conservation, Biomass (ecology), Forestry, Interferometric synthetic aperture radar (InSAR) data, 15. Life on land, Above ground, 13. Climate action, Greenhouse gas, ITC-ISI-JOURNAL-ARTICLE, Environmental science, TanDEM-X
Abstract

The area-wide estimation of aboveground biomass (AGB) and its changes as a proxy for the sequestration and emission of carbon are currently associated with high uncertainties. Here we combined interferometric synthetic aperture radar (InSAR) height models derived from TanDEM-X with repeated ground-based inventories from the years 2012 and 2019 to estimate InSAR height and AGB changes in a structurally diverse and dynamic landscape in Sumatra, Indonesia. The results suggested that the InSAR height models were highly accurate and the relationship between InSAR height and AGB change resulted in a coefficient of determination R 2 of 0.65 and a cross-validated root mean square error (RMSE) of 2.38 Mg ha−1 year−1, equivalent to 13.32% of the actual AGB difference range. The estimated AGB changes with TanDEM-X were further related to the initial canopy height and fire activities in the study area. Initial canopy heights and the occurrences of fires had a significant effect on the AGB change. In general, low canopy heights tend to be associated with increasing AGB over time, whereas high canopy heights tend to be associated with stable or decreasing AGB. As expected, fires had a negative impact on the AGB changes being more pronounced in forest areas compared to oil palm concessions. The results of this study are relevant for the utilization of spaceborne InSAR height models and its potential to estimate canopy height and AGB change on large spatial scales. It was demonstrated that these changes can be related to their sources and ecosystem processes. This AGB change estimation technique can be used to model the impacts of fires on AGB change and carbon emissions, which are important for sustainable forest management.

Published
2021

2. Spaceborne height models reveal above ground biomass changes in tropical landscapes.

Author

Schlund, Michael, Kotowska, Martyna M., Brambach, Fabian, Hein, Jonas, Wessel, Birgit, Camarretta, Nicolò, Silalahi, Mangarah, Surati Jaya, I Nengah, Erasmi, Stefan, Leuschner, Christoph, and Kreft, Holger

Subjects
SPACE-based radar, SYNTHETIC aperture radar, STANDARD deviations, LANDSCAPE changes, FOREST biomass, BIOMASS, BIOMASS estimation, FOREST management
Abstract

• We analyzed TanDEM-X InSAR height models to estimate aboveground biomass change. • Height models achieved a high accuracy in the aboveground biomass change estimation. • We analyzed the effects of canopy height and fires on aboveground biomass change. • Initial canopy height had a larger effect than the distance from fires. • Effects of fires depend on land-management system. The area-wide estimation of aboveground biomass (AGB) and its changes as a proxy for the sequestration and emission of carbon are currently associated with high uncertainties. Here we combined interferometric synthetic aperture radar (InSAR) height models derived from TanDEM-X with repeated ground-based inventories from the years 2012 and 2019 to estimate InSAR height and AGB changes in a structurally diverse and dynamic landscape in Sumatra, Indonesia. The results suggested that the InSAR height models were highly accurate and the relationship between InSAR height and AGB change resulted in a coefficient of determination R 2 of 0.65 and a cross-validated root mean square error (RMSE) of 2.38 Mg ha−1 year−1, equivalent to 13.32% of the actual AGB difference range. The estimated AGB changes with TanDEM-X were further related to the initial canopy height and fire activities in the study area. Initial canopy heights and the occurrences of fires had a significant effect on the AGB change. In general, low canopy heights tend to be associated with increasing AGB over time, whereas high canopy heights tend to be associated with stable or decreasing AGB. As expected, fires had a negative impact on the AGB changes being more pronounced in forest areas compared to oil palm concessions. The results of this study are relevant for the utilization of spaceborne InSAR height models and its potential to estimate canopy height and AGB change on large spatial scales. It was demonstrated that these changes can be related to their sources and ecosystem processes. This AGB change estimation technique can be used to model the impacts of fires on AGB change and carbon emissions, which are important for sustainable forest management. [ABSTRACT FROM AUTHOR]

Published
2021
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