Next Article in Journal
Monitoring Drought Impact on Annual Forage Production in Semi-Arid Grasslands: A Case Study of Nebraska Sandhills
Next Article in Special Issue
PolSAR-Decomposition-Based Extended Water Cloud Modeling for Forest Aboveground Biomass Estimation
Previous Article in Journal
UAV Imaging of a Martian Brine Analogue Environment in a Fluvio-Aeolian Setting
Previous Article in Special Issue
Refugee Camp Monitoring and Environmental Change Assessment of Kutupalong, Bangladesh, Based on Radar Imagery of Sentinel-1 and ALOS-2
Open AccessArticle

Canopy Height and Above-Ground Biomass Retrieval in Tropical Forests Using Multi-Pass X- and C-Band Pol-InSAR Data

1
Remote Sensing Solutions GmbH, Dingolfinger Str. 9, 81673 Munich, Germany
2
Department of Biology, Ludwig-Maximilians-University Munich, Großhaderner Str. 2, 82152 Planegg-Martinsried, Germany
3
A.U.G. Signals Ltd. (AUG), 73 Richmond Street West, Suite 103, Toronto, ON M5H 4E8, Canada
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(18), 2105; https://doi.org/10.3390/rs11182105
Received: 31 July 2019 / Revised: 4 September 2019 / Accepted: 6 September 2019 / Published: 9 September 2019
Globally available high-resolution information about canopy height and AGB is important for carbon accounting. The present study showed that Pol-InSAR data from TS-X and RS-2 could be used together with field inventories and high-resolution data such as drone or LiDAR data to support the carbon accounting in the context of REDD+ (Reducing Emissions from Deforestation and Forest Degradation) projects. View Full-Text
Keywords: TerraSAR-X; RADARSAT-2 carbon; Pol-InSAR; Random Volume over Ground (RVoG); Random Motion over Ground (RMoG); linear regression modelling; Indonesia; peat swamp forest TerraSAR-X; RADARSAT-2 carbon; Pol-InSAR; Random Volume over Ground (RVoG); Random Motion over Ground (RMoG); linear regression modelling; Indonesia; peat swamp forest
Show Figures

Graphical abstract

MDPI and ACS Style

Berninger, A.; Lohberger, S.; Zhang, D.; Siegert, F. Canopy Height and Above-Ground Biomass Retrieval in Tropical Forests Using Multi-Pass X- and C-Band Pol-InSAR Data. Remote Sens. 2019, 11, 2105.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop