气候变化领域集成服务门户(CCPortal): DART radiative transfer modelling for sloping landscapes

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DOI	10.1016/j.rse.2020.111902
	DART radiative transfer modelling for sloping landscapes
	Wang Y.; Lauret N.; Gastellu-Etchegorry J.-P.
发表日期	2020
ISSN	00344257
卷号	247
英文摘要	Topography is one of the key factors that impact remotely sensed data and their interpretation. Indeed, combined with the viewing geometry and neighbour effects, it strongly affects the direct, diffuse and multi-scattered scene irradiance, which in turn impacts the radiative budget and remote sensing signals of the landscapes. The increased availability of digital elevation models (DEM) and the advancement of 3D radiative transfer (RT) models allow us to better address these topographic effects. DART (Discrete Anisotropic Radiative Transfer) is one of the most accurate and comprehensive 3D RT models that simulate remote sensing observations of natural and urban landscapes with topography and atmosphere. It simulates environmental effects (i.e., impact of adjacent landscape on the observed landscape) using a so-called infinite slope mode that infinitely duplicates the observed landscape while ensuring the continuity of slope and altitude at the DEM edges. Up to DART version 5.7.4, this mode was slightly inaccurate and computer intensive, depending on the topography. This paper presents an innovative modelling strategy that greatly improves it in terms of accuracy, image quality and computer efficiency. For that, a fictive auxiliary oblique plane, adapted to the landscape topography, is introduced for managing the scene illumination, the Earth-Atmosphere coupling and the storage of the radiation that exits the scene before being projected onto the sensor plane. Improvements and validations are illustrated both visually and quantitatively by DART images, radiometric products and radiative budget. For example, the observed reflectance of a Lambertian slope is equal to the expected analytical value. In addition, the solar plane reflectance of a forest on a mountain slope (experimental scene) has an average error of about 0.01% relative to the reflectance of the same forest stand in the reference scene (i.e., nine duplications of the experimental scene). This new modelling is already integrated in the official DART version (https://dart.omp.eu). © 2020 Elsevier Inc.
英文关键词	DART; Environmental effects; Infinite slope; Radiative transfer; Topography
语种	英语
scopus关键词	Budget control; Digital storage; Earth atmosphere; Forestry; Image enhancement; Radiative transfer; Reflection; Remote sensing; Surveying; Computer efficiency; Digital elevation model; Modelling strategies; Mountain slopes; Radiative transfer model; Radiative transfer modelling; Remotely sensed data; Topographic effects; Topography; accuracy assessment; digital elevation model; image analysis; irradiance; landscape change; mountain environment; numerical model; radiative transfer; satellite data; topography; Lambertia
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/179223
作者单位	CESBIO, CNES-CNRS-IRD-UPS, University of Toulouse, Toulouse CEDEX 09, 31401, France
推荐引用方式 GB/T 7714	Wang Y.,Lauret N.,Gastellu-Etchegorry J.-P.. DART radiative transfer modelling for sloping landscapes[J],2020,247.
APA	Wang Y.,Lauret N.,&Gastellu-Etchegorry J.-P..(2020).DART radiative transfer modelling for sloping landscapes.Remote Sensing of Environment,247.
MLA	Wang Y.,et al."DART radiative transfer modelling for sloping landscapes".Remote Sensing of Environment 247(2020).