High-resolution digital elevation model from tri-stereo Pleiades-1 satellite imagery for lava flow volume estimates at Fogo Volcano

Compared to the wide use of digital elevation model (DEM), digital surface model (DSM) receives less attention because that it is composed by not only terrain surface, but also vegetations and man-made objects which are usually regarded as useless information. Nevertheless, these objects are useful for the identification of obstacles around an aerodrome. The primary objective of the study was to determine the applicability of DSM in obstacle clearance surveying of aerodrome. According to the requirements of obstacle clearance surveying at QT airport, aerial and satellite imagery were used to generate DSM, by means of photogrammetry, which was spatially analyzed with the hypothetical 3D obstacle limitation surfaces (OLS) to identify the potential obstacles. Field surveying was then carried out to retrieve the accurate horizontal position and height of the obstacles. The results proved that the application of DSM could make considerable improvement in the efficiency of obstacle clearance surveying of aerodrome.

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Assessing Optimal Digital Elevation Model Selection for Active River Area Delineation Across Broad Regions

10.21203/rs.3.rs-311838/v1 ◽

2021 ◽

Author(s):

Shizhou Ma ◽

Karen Beazley ◽

Patrick Nussey ◽

Chris Greene

Keyword(s):

High Resolution ◽

Digital Elevation Model ◽

Smoothing Algorithm ◽

Processing Efficiency ◽

Spatial Approach ◽

Digital Elevation ◽

Elevation Data ◽

Computer Based ◽

Lidar Dem ◽

Elevation Model

Abstract The Active River Area (ARA) is a spatial approach for identifying the extent of functional riparian area. Given known limitations in terms of input elevation data quality and methodology, ARA studies to date have not achieved effective computer-based ARA-component delineation, limiting the efficacy of the ARA framework in terms of informing riparian conservation and management. To achieve framework refinement and determine the optimal input elevation data for future ARA studies, this study tested a novel Digital Elevation Model (DEM) smoothing algorithm and assessed ARA outputs derived from a range of DEMs for accuracy and efficiency. It was found that the tested DEM smoothing algorithm allows the ARA framework to take advantage of high-resolution LiDAR DEM and considerably improves the accuracy of high-resolution LiDAR DEM derived ARA results; smoothed LiDAR DEM in 5-meter spatial resolution best balanced ARA accuracy and data processing efficiency and is ultimately recommended for future ARA delineations across large regions.

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Drainage Network Analysis, Comparis of Digital Elevation Model(DEM) from ASTER with High Resolution Satellite Image and Areal Photographs

International Journal of Environmental Science and Development ◽

10.7763/ijesd.2011.v2.123 ◽

2011 ◽

pp. 194-198 ◽

Cited By ~ 10

Author(s):

Seyed Reza Hosseinzadeh

Keyword(s):

High Resolution ◽

Network Analysis ◽

Digital Elevation Model ◽

Satellite Image ◽

Drainage Network ◽

Digital Elevation ◽

High Resolution Satellite Image ◽

Elevation Model

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Landform classification from a digital elevation model and satellite imagery

Geomorphology ◽

10.1016/j.geomorph.2008.01.011 ◽

2008 ◽

Vol 100 (3-4) ◽

pp. 453-464 ◽

Cited By ~ 57

Author(s):

Hossein Saadat ◽

Robert Bonnell ◽

Forood Sharifi ◽

Guy Mehuys ◽

Mohammad Namdar ◽

...

Keyword(s):

Digital Elevation Model ◽

Satellite Imagery ◽

Landform Classification ◽

Digital Elevation ◽

Elevation Model

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A 20-year record (1998–2017) of permafrost, active layer, and meteorological conditions at a High Arctic permafrost research site (Bayelva, Spitsbergen): an opportunity to validate remote sensing data and land surface, snow, and permafrost models

10.5194/essd-2017-100 ◽

2017 ◽

Cited By ~ 2

Author(s):

Julia Boike ◽

Inge Juszak ◽

Stephan Lange ◽

Sarah Chadburn ◽

Eleanor Burke ◽

...

Keyword(s):

Energy Balance ◽

High Resolution ◽

Observational Data ◽

Digital Elevation Model ◽

Positive Feedback ◽

The Arctic ◽

Data Sets ◽

Data Set ◽

Digital Elevation ◽

Elevation Model

Abstract. Most permafrost is located in the Arctic, where frozen organic carbon makes it an important component of the global climate system. Despite the fact that the Arctic climate changes more rapidly than the rest of the globe, observational data density in the region is low. Permafrost thaw and carbon release to the atmosphere are a positive feedback mechanism that can exacerbate climate warming. This positive feedback functions via changing land-atmosphere energy and mass exchanges. There is thus a great need to understand links between the energy balance, which can vary rapidly over hourly to annual time scales, and permafrost, which changes slowly over long time periods. This understanding thus mandates long-term observational data sets. Such a data set is available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made for the last 20 years. Additional data include a high resolution digital elevation model and a panchromatic image. This paper presents the data set produced so far, explains instrumentation, calibration, processing and data quality control, as well as the sources for various resulting data sets. The resulting data set is unique in the Arctic and serves a baseline for future studies. Since the data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as snow depth and soil moisture content, they are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The data set also includes a high resolution digital elevation model that can be used together with the snow physical information for snow pack modeling. The presented data are available in the supplementary material for this paper and through the PANGAEA website ( https://doi.pangaea.de/10.1594/PANGAEA.880120).

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HydroSHEDS v2.0 – Refined global river network and catchment delineations from TanDEM-X elevation data

10.5194/egusphere-egu21-9277 ◽

2021 ◽

Author(s):

Bernhard Lehner ◽

Achim Roth ◽

Martin Huber ◽

Mira Anand ◽

Günther Grill ◽

...

Keyword(s):

High Resolution ◽

Digital Elevation Model ◽

Multiple Scales ◽

Environmental Conservation ◽

The Arctic ◽

River Networks ◽

Northern Latitude ◽

Digital Elevation ◽

Elevation Data ◽

Elevation Model

Since its introduction in 2008, the HydroSHEDS database (www.hydrosheds.org) has transformed large-scale hydro-ecological research and applications worldwide by offering standardized spatial units for hydrological assessments. At its core, HydroSHEDS provides digital hydrographic information that can be applied in Geographic Information Software (GIS) or hydrological models to delineate river networks and catchment boundaries at multiple scales, from local to global. Its various data layers form the basis for applications in a wide range of disciplines including environmental, conservation, socioeconomic, human health, and sustainability studies.Version 1 of HydroSHEDS was derived from the digital elevation model of the Shuttle Radar Topography Mission (SRTM) at a pixel resolution of 3 arc-seconds (~90 meters at the equator). It was created using customized processing and optimization algorithms and a high degree of manual quality control. Results are available at varying resolutions, ranging from 3 arc-seconds (~90 m) to 5 minutes (~10 km), and in nested sub-basin structures, making the data uniquely suitable for applications at multiple scales. A suite of related data collections and value-added information, foremost the HydroATLAS compilation of over 50 hydro-environmental attributes for every river reach and sub-basin, continuously enhance the versatility of the HydroSHEDS family of products. Yet version 1 of HydroSHEDS shows some important limitations. In particular, coverage above 60&#176; northern latitude (i.e., largely the Arctic) is missing for the 3 arc-second product and is of low quality for coarser products because no SRTM elevation data are available for this region. Also, some areas are affected by inherent data gaps or other errors that could not be fully resolved at the time of creating version 1 of HydroSHEDS.Today, the TanDEM-X dataset (TerraSAR-X add-on for Digital Elevation Measurement), created in partnership between the German Aerospace Agency (DLR) and Airbus, offers a new digital elevation model covering the entire global land surface including northern latitudes. In a collaborative project, this dataset is used to extract HydroSHEDS v2.0, following the same basic specifications as version 1. DLR is processing the original 12 m resolution TanDEM-X data to create a hydrologically pre-conditioned version at 3 arc-second resolution. In this step, corrections with high-resolution vegetation and settlement maps are applied to reduce distortions caused by vegetation cover and in built-up areas. Following this preprocessing, refined hydrological optimization and correction algorithms are used to derive the drainage pathways, including improved &#8216;stream-burning&#8217; techniques that incorporate recent data products such as high-resolution terrestrial open water masks and improved tracing of drainage pathways as center lines in global lake and river maps. The resulting HydroSHEDS v2.0 database will provide river networks and catchment boundaries at full global coverage. Release of the data under a free license is scheduled for 2022, with regions above 60&#176; northern latitude being completed first in 2021.

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