Identification of karst sinkholes in a forested karst landscape using airborne laser scanning data and water flow analysis

Hofierka, Jaroslav; Gallay, Michal; Bandura, Peter; Šašak, Ján

doi:10.1016/j.geomorph.2018.02.004

Cited by 64 publications

(49 citation statements)

References 43 publications

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“…The most distinct and numerous landforms in the area with karstified bedrock are dolines. Expert-made delineation of them on the basis of the slope gradient and general curvature layers [10] were used as reference data (reference polygons). Altogether there are 332 manually delineated dolines within our study area with mean area of 9238.13 m 2 and mean radius of 62.94 m.…”

Section: B Vertical Accuracy Assessment and Landforms Classificationmentioning

confidence: 99%

Validation of TanDEM-X elevation data for a forested karst area in Slovakia (Central Europe)

Bandura

Gallay

2018

Preprint

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Recent production of a new radar-based global DEM by the TanDEM-X space mission has opened new options for geomorphometric analysis across multiple scales providing 0.4 arc second spatial resolution. However, the accuracy and suitability of this data has not been evaluated in such an extensive manner as for the widely exploited SRTM data. We present a validation of the vertical accuracy of TanDEM-X DEM product and evaluation of its suitability for landform classification in a forested karst area. The Geomorphons method was used for the automated landform classification focused on identification of dolines for which polygons of dolines mapped by expert-driven approach were used for validation. Airborne lidar data in the form of DSM and DTM were used as the reference dataset for validation of the DEM. The results show that the vertical RMSE of the TanDEM-X data is 3.42 m with respect to lidar DSM and 9.64 m with respect to lidar DTM. The identification of dolines by the geomorphon approach achieved 73 % with TanDEM-X, lower than for the lidar DTM (85 %).

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Section: B Vertical Accuracy Assessment and Landforms Classificationmentioning

confidence: 99%

Validation of TanDEM-X elevation data for a forested karst area in Slovakia (Central Europe)

Bandura

Gallay

2018

Preprint

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“…Esse tipo de análise quantitativa retira o fator subjetividade nas análises comparativas entre regiões cársticas (Ferrari et al, 1998) e permite revelar dados e informações anteriormente não observadas, possibilitando novas hipóteses (Ford e Williams, 2007). Nesse sentido diversos trabalhos internacionais tratam sobre as formas clássicas ou uso de novas tecnologias de mapeamento de dolinas, análises morfométricas e interpretações ambientais correlatas (Denizman, 2003;Seale et al, 2008;Siart et al, 2009;Faulkner et al, 2013;Kovačič e Ravbar, 2013;Pardo-Igúzquiza et al, 2013;Zhu et al, 2014;Kobal et al, 2015;Aguilar et al, 2016;Gessert, 2016;Keskin e Yılmaz, 2016;Lee et al, 2016;Pardo-Igúzquiza et al, 2016;Telbisz et al, 2016;Wu et al, 2016;Zhu e Pierskalla, 2016;Čeru et al, 2017;Wall et al, 2017;Cahalan e Milewski, 2018;Chen et al, 2018;Harris et al, 2018;Hofierka et al, 2018;Öztürk et al, 2018).…”

Section: Análises Morfométricas De Depressões Cársticasunclassified

Um Panorama Sobre Mapeamentos de Dolinas no Brasil, Feições Elementares do Carste

Ferreira

Uagoda

2020

Rev. Bras. Geog. Fis.

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O carste se desenvolve sobretudo pela ação da dissolução em subsuperfície, na interação da água com rochas solúveis, especialmente as carbonáticas. Apesar do processo de carstificação nem sempre se apresentar em superfície, a ocorrência de dolinas, feições consideradas características, indica maior proeminência desse fenômeno. Muitos trabalhos internacionais se dedicaram ao mapeamento de dolinas com objetivos diversos, como comparar o nível de carstificação e evolução dos ambientes onde estão inseridas, relacionar o desenvolvimento destas feições com estruturas geológicas ou realizar análises hidrológicas de caráter ambiental. Por outro lado, são poucos os trabalhos com esta temática realizados no Brasil, parte concentrada em regiões cársticas tradicionais, como o Vale do Ribeira-SP, Chapada Diamantina-BA e nos carbonatos de Minas Gerais, e os demais dispersos pelo país, muitos em rochas não carbonáticas. Neste sentido o objetivo deste artigo é realizar uma revisão dos trabalhos sobre mapeamento de dolinas, com enfoque nos aspectos morfométricos e quantificação, visando especialmente elaborar um primeiro panorama sobre como o tema é abordado no Brasil. Observou-se que a maior parte dos estudos nacionais alcançou resultados de frequência (nº/km²) bastante inferiores aos identificados em estudos internacionais. Essa discrepância foi atribuída a alguns aspectos, como a adoção de fontes de dados inadequadas em escala abrangente, a escolha de áreas muito extensas para a análise ou de fato a investigação em áreas pouco propícias a ocorrência de dolinas. An Overview of Doline Mappings in Brazil, Karst's Elemental Features A B S T R A C TKarst develops mainly by the action of dissolution in subsurface, in the interaction of water with soluble rocks, especially carbonates. Although the karsification process does not always appear on the surface, the occurrence of dolines, features considered characteristic, indicates a greater prominence of this phenomenon. Many international works have been devoted to the mapping of dolines with different objectives, such as comparing the level of karsification and evolution of the environments in which they are inserted, to relate the development of these features to geological structures or to perform environmental hydrological analyzes. On the other hand, there are few studies on this subject in Brazil, concentrated part in traditional karst regions such as Vale do Ribeira-SP, Chapada Diamantina-BA and carbonates of Minas Gerais, and the others scattered around the country, many in non-carbonate rocks. In this respect, the objective of this article is to review the work on doline mapping, with a focus on morphometric aspects and quantification, aiming in particular to elaborate a first overview about how the theme is approached in Brazil. It was observed that most of the national studies reached frequency results (n°/km²) much lower than those identified in international studies. This discrepancy was attributed to some aspects, such as the adoption of inadequate data sources in a wide scale, the choice of very extensive areas for analysis or indeed the investigation in areas less favorable to the occurrence of dolines.Keywords: karst; doline; density.

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“…In these models it is possible to detect relief structures of approx. 10 cm in size also in wooded areas that otherwise cannot be noticed [22,23,24,25].…”

Section: Non-destructive Mining Research Using Lidarmentioning

confidence: 99%

Relief Relics of Historical Mining Near Ľubietová (Central Slovakia) –Possibilities for Montanistic (Mining) Research Using Airborne Laser Scanning (Lidar)

Hronček

Tometzová

JESENSKÝ

2019

GSE

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The study deals with the history of Cu (±Ag)-and locally Fe-ore mining in the locality Peklo near Ľubietová in central Slovakia. The emphasis is on the evidence of mining in the local landscape relief during the period of 16th to the 19th century. Anthropogenic landscape changes were examined on the basis of written archival documents, cartographic sources and field research. An important part of the investigation was the use of data obtained from aerial laser scanning (LIDAR) to research mining anthropogenic relics in the contemporary landscape. The study deals with the identification of these shapes in situ, their morphological and morphometric properties. The conclusion points to the positives, but also the negatives of the methodical use of LIDAR data in the mining research of historical relief relics.

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Identification of karst sinkholes in a forested karst landscape using airborne laser scanning data and water flow analysis

Cited by 64 publications

References 43 publications

Validation of TanDEM-X elevation data for a forested karst area in Slovakia (Central Europe)

Validation of TanDEM-X elevation data for a forested karst area in Slovakia (Central Europe)

Um Panorama Sobre Mapeamentos de Dolinas no Brasil, Feições Elementares do Carste

Relief Relics of Historical Mining Near Ľubietová (Central Slovakia) –Possibilities for Montanistic (Mining) Research Using Airborne Laser Scanning (Lidar)

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