From Mathematical Morphology to Morphological Terrain Features

Soille, Pierre

doi:10.1007/978-3-540-36731-4_2

Cited by 8 publications

(6 citation statements)

References 40 publications

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“…Because of the internal variability of topographic complexity of the reef, characterized by crevices, cracks and holes rather than whole blocks, it seems necessary to carry out further studies to calculate more accurately the true volume of the reef. Several tools are available such as mathematical morphology (Soille, 2007) or fractal geometry (Burrough, 1981;Curl, 1986;Taud and Parrot, 2005) but the application methods must still be developed. Figure 1.…”

Section: Resultsmentioning

confidence: 99%

Using airborne laser altimetry to estimate Sabellaria alveolata (Polychaeta: Sabellariidae) reefs volume in tidal flat environments

Noernberg¹,

Fournier²,

Dubois³

et al. 2010

Estuarine, Coastal and Shelf Science

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This study has exploited aerial photographs and LiDAR digital elevation model to quantify intertidal complex landforms volume. A first volume estimation of the main sabellariid polychaete reef complex of the Bay of Mont-Saint-Michel-France is presented. The Sabellaria alveolata is an engineering species that heavily modifies its environment. This gregarious tube-building annelid forms dense and solid reefs of bioclastic coarse sand which can reach several km 2. Since 1970 a very strong decline of reefs has been observed. The authorities have curbed fishing activities without any noticeable changes in reef health status. The S. alveolata reef volume is estimated to be 132 048 m 3 (96 301 m 3 for Sainte-Anne reef and 35 747 m 3 for Champeaux reef). Further LiDAR data surveys will be needed to be able to understand and quantify the accretion/erosion processes in play in the reef dynamic. Because of the internal variability of topographic complexity of the reef, characterized by crevices, cracks, and holes rather than whole blocks, further studies are needed to calculate more accurately the volume of the reef.

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Section: Resultsmentioning

confidence: 99%

Using airborne laser altimetry to estimate Sabellaria alveolata (Polychaeta: Sabellariidae) reefs volume in tidal flat environments

Noernberg¹,

Fournier²,

Dubois³

et al. 2010

Estuarine, Coastal and Shelf Science

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“…Digitization of cartographic material, compared to other methods, can be considered as a secondary data source, along with the processing of already existing digital relief data. Basically, on the digitized map, the contour lines (isohypse) are selected, and height values are added to their corresponding pixels [4]. Other sources, such as e.g.…”

Section: Data For Creation Of Model's Structurementioning

confidence: 99%

Digital Modeling of Earth's Surface Relief

Vasić¹

2017

STEPGRAD

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This paper presents the theoretical basis for the development of the Earth's surface relief digital models. The sources and structure of the modeling data, as well as the methods of their processing, are described, depending on the spatial-temporal properties of the Earth's surface. Digital relief models have great significance and wide application in modern geodetic works. Representation of the spatial structure of the relief can be done with different methods of interpolation. In this paper their mathematical foundations are also given. General indicators of the quality of digital relief models are briefly described.

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“…Topographic surface analysis methods can only obtain characteristic lines and are often case specific. Physical water model methods are often found to be unsuitable for applications in plain areas [23,24], particularly those with manual canal and ditch systems.…”

Section: Introductionmentioning

confidence: 99%

Extracting Farmland Features from Lidar-Derived DEM for Improving Flood Plain Delineation

Qian

Shen

et al. 2018

Water

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Flood plains, which are commonly distributed in flat river or lake basins, often contain large tracts of farmland. Therefore, flood plains require precise and detailed information on the role played by farmland in flood routing simulations, flood risk evaluation, and flood loss evaluation. In farmland, cultivated land parcels are not directly adjacent. The intervening non-cultivable land, which might include trails and ditches, can cover large areas. Currently, the area of non-cultivable land between cultivated land parcels is usually measured by artificial visual interpretation or by fieldwork. This study focused on the extraction of uncultivable trails, ditches, and cultivated field parcels within farmland on the basis of a Light Detection and Ranging-derived (LiDAR-derived) high-resolution gridded Digital Elevation Model (DEM). The proposed approach was applied to generate polygons of individual land parcels in a flood storage and detention area. The DEM was first smoothed and then subtracted. To remove small spots and to smooth the boundaries of the land parcels, inner and outer buffers were created to generalize the extracted polygons. Experiments proved that this approach is applicable in flood plain farmland and demonstrated that the chosen parameters were appropriate. This approach is more efficient than traditional surveying methods. For field parcel extraction, the accuracy achieved was 93.42%, using official statistics for comparison, and the Cohen's kappa coefficient was 0.90, using a visual interpretation of an aerial image for comparison. The kappa coefficients were 0.87 and 0.77 for trail and ditch extraction, respectively.

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From Mathematical Morphology to Morphological Terrain Features

Cited by 8 publications

References 40 publications

Using airborne laser altimetry to estimate Sabellaria alveolata (Polychaeta: Sabellariidae) reefs volume in tidal flat environments

Using airborne laser altimetry to estimate Sabellaria alveolata (Polychaeta: Sabellariidae) reefs volume in tidal flat environments

Digital Modeling of Earth's Surface Relief

Extracting Farmland Features from Lidar-Derived DEM for Improving Flood Plain Delineation

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