Open AccessProceedings Article10.1109/IGARSS.2012.6352587

Unsupervised river detection in RapidEye data

- 22 Jul 2012

- pp 6860-6863

TL;DR: A methodology for the automatic extraction of river networks from multispectral satelliteData is presented for the assessment of the biochemical status of surface water and the general detection of water networks.

Abstract: Remote sensing is a widely-used utility in supporting multilateral environmental treaties such as the Water Framework Directive (WFD). Regarding the WFD most remote sensing applications aim on the assessment of the biochemical status of surface water, while the general detection of water networks is disregarded. Therefore, a methodology for the automatic extraction of river networks from multispectral satellite data is presented.

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Regarding the WFD most remote sensing applications aim on the assessment of the biochemical status of surface water, while the general detection of water networks is disregarded.. Therefore, a methodology for the automatic extraction of river networks from multispectral satellite data is presented.

Table I. Accuracy assessment for both classification algorithms.

Fig. 3. Best results (out of 10 experiments) for both classification algorithms and ground truth.

Fig. 2. Location of the study areas within Germany (RapidEye false color composites 5/3/2).

Fig. 1. Histogram of a RE-NDWI-image after path opening with path length 100; “potential water-pixels” in black, “potential non-water-pixels” in gray.

Citations

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TL;DR: The declaration of the Ministerial Seminar on groundwater held at The Hague in 1991 recognised the need for action to avoid long-term deterioration of freshwater quality and quantity and called for a programme of actions to be implemented by the year 2000 aiming at sustainable management and protection of freshwater resources as discussed by the authors.

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Journal Article•10.1016/S1462-9011(03)00070-4

A review of remote sensing technology in support of the Kyoto Protocol

Ake Rosenqvist, +4 more

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- Environmental Science & Policy

TL;DR: An overview of the role of remote sensing technology in the context of the United Nations Framework Convention on Climate Change (UNFCCC) Kyoto Protocol and is based largely on discussions held at an international workshop in MI, USA and the report that followed.

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Journal Article•10.14358/PERS.70.12.1383

A Review of Techniques for Extracting Linear Features from Imagery

Lindi J. Quackenbush

- 01 Dec 2004

- Photogrammetric Engineering and Remote S...

TL;DR: In this article, the authors provide an overview of the types of imagery being used for linear feature extraction and also describe methods used for feature extraction, and consider quantitative and qualitative accuracy assessment of these procedures.

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205

Unsupervised river detection in RapidEye data

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Citations

Detecting, Extracting, and Monitoring Surface Water From Space Using Optical Sensors: A Review

Water body classification from high-resolution optical remote sensing imagery: Achievements and perspectives

Automatic flood detection in SentineI-2 images using deep convolutional neural networks

Extraction of Surface Water Bodies using Optical Remote Sensing Images: A Review

The European Parliament and the European Community

References

The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features

Directive 2000/60/EC of the European Parliament and of The Council of 23 October 2000 establishing a Framework for Community Action in the Field of Water Policy (Water Framework Directive)

Environmental monitoring and assessment

A review of remote sensing technology in support of the Kyoto Protocol

A Review of Techniques for Extracting Linear Features from Imagery

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