气候变化领域集成服务门户(CCPortal): Automated estimation of forest height and underlying topography over a Brazilian tropical forest with single-baseline single-polarization TanDEM-X SAR interferometry

CCPortal

DOI	10.1016/j.rse.2020.112132
	Automated estimation of forest height and underlying topography over a Brazilian tropical forest with single-baseline single-polarization TanDEM-X SAR interferometry
	Lei Y.; Treuhaft R.; Gonçalves F.
发表日期	2021
ISSN	00344257
卷号	252
英文摘要	Forest height is an important variable for modeling terrestrial carbon storage and global carbon cycle dynamics. Spaceborne SAR Interferometry (InSAR) has the sensitivity to measure canopy height and the underlying topography. In this paper, we refine and automate an interferometric ground finding approach that exploits few-look (2- to 4-look) averaged interferograms and incorporates the use of a coherent electromagnetic simulator and field inventory data. Using the coherent electromagnetic simulator, an InSAR simulation based on field data is performed to study the true ground position as a function of the statistics of few-look InSAR phase heights from a model perspective. With this statistical model, both the underlying topography and the canopy height (mean and top canopy height) can be estimated. Using German Aerospace Center's (DLR) single-baseline single-polarization TanDEM-X InSAR data, we validate the approach over a Brazilian tropical forest (Tapajós National Forest) with both field inventory and lidar data. As validated against lidar data, the underlying topography is estimated to an accuracy of 3 m. At one hectare aggregated pixel size, InSAR phase-center height is best compared with the field/lidar mean canopy height with an accuracy of 2–3 m, while InSAR-inverted total height best characterizes the lidar top canopy height with an accuracy of 4–5 m. Given the global data availability of TanDEM-X and the future TanDEM-L, this approach has the potential for wall-to-wall mapping of forest height as well as underlying topography and also serves as a complementary tool to other existing InSAR, Polarimetric InSAR (PolInSAR) and SAR tomography (TomoSAR) methods when only single polarization and/or baseline data are available. © 2020 Elsevier Inc.
英文关键词	Digital Elevation Model (DEM); Digital Terrain Model (DTM); Spaceborne InSAR; SRTM; TanDEM-X; Tapajós National Forest; Tropical forest height; Underlying topography
语种	英语
scopus关键词	Digital storage; Electromagnetic simulation; Forestry; Interferometry; Mapping; Optical radar; Polarization; Topography; Tropics; Automated estimation; Complementary tools; Electromagnetic simulators; German aerospace centers; Global carbon cycle; Sar tomography (SARTom); Single polarization; Statistical modeling; Synthetic aperture radar; detection method; estimation method; forest ecosystem; interferometry; pixel; satellite data; TanDEM-X; topography; tropical forest; Brazil
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179077
作者单位	Division of Geological and Planetary Science, California Institute of Technology, 1200 E California Blvd, Pasadena, CA 91125, United States; Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, United States; Canopy Remote Sensing Solutions, 4150 Rod., José Carlos Daux, Florianopolis, SC 88032, Brazil
推荐引用方式 GB/T 7714	Lei Y.,Treuhaft R.,Gonçalves F.. Automated estimation of forest height and underlying topography over a Brazilian tropical forest with single-baseline single-polarization TanDEM-X SAR interferometry[J],2021,252.
APA	Lei Y.,Treuhaft R.,&Gonçalves F..(2021).Automated estimation of forest height and underlying topography over a Brazilian tropical forest with single-baseline single-polarization TanDEM-X SAR interferometry.Remote Sensing of Environment,252.
MLA	Lei Y.,et al."Automated estimation of forest height and underlying topography over a Brazilian tropical forest with single-baseline single-polarization TanDEM-X SAR interferometry".Remote Sensing of Environment 252(2021).