QGIS and Applications in Water and Risks E-Book

• Herausgeber: John Wiley & Sons
• Kategorie: Wissenschaft und neue Technologien
• Sprache: Englisch

Seitenzahl: 226

Veröffentlichungsjahr: 2018

Beschreibung

Our four volumes propose to present innovative thematic applications implemented using the open source software QGIS. These are applications that use remote sensing over continental surfaces. The four volumes detail applications of remote sensing over continental surfaces, with a first one discussing applications for agriculture. A second one presents applications for forest, a third presents applications for the continental hydrology, and finally the last volume details applications for environment and risk issues.

Leseprobe

QGIS in Remote Sensing Set

coordinated by André Mariotti

Volume 4

QGIS and Applications in Water and Risks

Edited by

Nicolas Baghdadi

Clément Mallet

Mehrez Zribi

First published 2018 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons, Inc.

Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms and licenses issued by the CLA. Enquiries concerning reproduction outside these terms should be sent to the publishers at the undermentioned address:

ISTE Ltd

27-37 St George’s Road

London SW19 4EU

UK

www.iste.co.uk

John Wiley & Sons, Inc.

111 River Street

Hoboken, NJ 07030

USA

www.wiley.com

© ISTE Ltd 2018

The rights of Nicolas Baghdadi, Clément Mallet and Mehrez Zribi to be identified as the authors of this work have been asserted by them in accordance with the Copyright, Designs and Patents Act 1988.

Library of Congress Control Number: 2017962518

British Library Cataloguing-in-Publication Data

A CIP record for this book is available from the British Library

ISBN 978-1-78630-271-7

Table of Contents

Cover

Title

Copyright

Introduction

1 Monitoring Coastal Bathymetry Using Multispectral Satellite Images at High Spatial Resolution

1.1. Definition, context and objective

1.2. Description of the methodology.

1.3. Practical application

1.4. Bibliography

2 Contribution of the Integrated Topo-bathymetric Model for Coastal Wetland Evolution: Case of Geomorphologic and Biological Evolution of Ichkeul Marshes (North Tunisia)

2.1. Coastal wetland dynamic

2.2. Ichkeul marshes wetland

2.3. Object-oriented classification method integrating the topo-bathymetric terrain model

2.4. From a practical point of view in QGIS

2.5. Bibliography

3 Reservoir Hydrological Monitoring by Satellite Image Analysis

3.1. Context and scientific issue

3.2. Methods and data set

3.3. Extraction and quantification of the Singur reservoir area

3.4. Characterization of vegetation

3.5. Automation of the processing chain via the construction of a QGIS model

3.6. Conclusions

3.7. Bibliography

4 Network Analysis and Routing with QGIS

4.1. Introduction

4.2. General notions

4.3. Examples of development and analysis of hydrographic networks

4.4. Thematic analysis

4.5. Bibliography

5 Representation of the Drainage Network in Urban and Peri-urban Areas Using a 2D Polygonal Mesh Composed of Pseudo-convex Elements

5.1. Definitions and context

5.2. Implementation of the TriangleQGIS module and general methodology

5.3. Illustration of the TriangleQGIS plugin and some Geo-PUMMA scripts

5.4. Acknowledgments

5.5. Bibliography

6 Mapping of Drought

6.1. Context

6.2. Satellite data

6.3. Drought index based on satellite NDVI data

6.4. Methodology

6.5. Implementation of the application via QGIS

6.6. Drought map

6.7. Bibliography

7 A Spatial Sampling Design Based on Landscape Metrics for Pest Regulation: The Millet Head Miner Case Study in the Bambey Area, Senegal

7.1. Definition and context

7.2. The spatial sampling methodology

7.3. Practical application

7.4. Bibliography

8 Modeling Erosion Risk Using the RUSLE Equation

8.1. Definition and context

8.2. RUSLE model

8.3. Implementation of the RUSLE model

8.4. Bibliography

List of Authors

Index

Scientific Committee

End User License Agreement

List of Tables

1 Monitoring Coastal Bathymetry Using Multispectral Satellite Images at High Spatial Resolution

Table 1.1. General information associated with the preselected Sentinel-2/MSI images (T30TXQ tile) allowing their identification and selection for the bathymetry mapping exercise. Date (dd/mm/yy): date of acquisition of the image; Time (UTM): time of acquisition of the image; T (m): tidal water height; qK, HOP, SR: image quality indicators related to the penetration of light into the water column, the spatial homogeneity of the optical properties of the water column, and the sea surface roughness, respectively (values range from 0 to 3, 0 for good condition and 3 for bad condition); Quality: image quality based on qK, HOP and SR variables (values range from 0 to 3, 0 for good quality and 3 for poor quality); Selection: final decision for the selection of the images on the basis of the T and Quality variables

Table 1.2. Information on spectral characteristics, signal-to-noise ratio (SNR) and spatial resolution associated with the Sentinel-2/MSI 3, 8 and 11 bands (G, NIR and SWIR channels, respectively)

2 Contribution of the Integrated Topo-bathymetric Model for Coastal Wetland Evolution: Case of Geomorphologic and Biological Evolution of Ichkeul Marshes (North Tunisia)

Table 2.1. Characteristics of ASTER remote sensing data used for Ichkeul vegetation classification

Table 2.2. Parameters of the algorithm 6S, associated with the sensor and the acquisition date of the ASTER image

Table 2.3. Geographic coordinates (UTM 32N) of the study area

Table 2.4. Installation procedure of a plugin in QGIS

Table 2.5. List of used datasets

Table 2.6. Steps for the construction of the topo-bathymetric DTM

Table 2.7. Preprocessing steps of the ASTER image: extraction, projection, atmospheric correction, stacking of bands (1, 2, 3N, 4 and 5) and clip according to the study area. For a color version of the table, see http://www.iste.co.uk/baghdadi/qgis4.zip

Table 2.8. Computation of ACP image

Table 2.9. Calculation of the Normalized Vegetation Index (NDVI)

Table 2.10. Segmentation and calculation of the attributes for each segmentation polygon

Table 2.11. Identification of training zones (by their attributes) on the segmented image

Table 2.12. Decision tree classification of the segmented image

Table 2.13. Procedure for plotting a topographic profile. For a color version of the table, see http://www.iste.co.uk/baghdadi/qgis4.zip

3 Reservoir Hydrological Monitoring by Satellite Image Analysis

Table 3.1. Area of the Singur reservoir at each date and the average values of the corresponding SAVI

4 Network Analysis and Routing with QGIS

Table 4.1. Geometry checking. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 4.2. Topology checking. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 4.3. Subgraphs detection. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 4.4. Calculation of road itineraries. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 4.5. Alignment of observation points on the network. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 4.6. Calculation of Strahler order. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 4.7. Estimation of the average width of water surfaces. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 4.8. Estimation of flow speed. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 4.9. Distance calculation between two observation points. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 4.10. Distance calculation between all observation points. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 4.11. Upstream path. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 4.12. Downstream path. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 4.13. Delimitation of the real expansion area of Louisiana crayfish. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

5 Representation of the Drainage Network in Urban and Peri-urban Areas Using a 2D Polygonal Mesh Composed of Pseudo-convex Elements

Table 5.1. Considered geometrical factors. A is the polygon area, P, its perimeter and A

convex

and P

convex

are the area and perimeter of the convex polygons inside which the polygon is included

Table 5.2. Options to generate the various triangulations with the TriangleQGIS plugin (to fill the required fields in the graphical interface)

Table 5.3. Number of triangles ( Δ), area and angles for the element in Figure 5.30

Table 5.4. Options for the triangulation of long and thin elements using the TriangleQGIS plugin (to fill out information required in the graphical interface fields)

Table 5.5. Number of triangles ( Δ), area and angles for the element in Figure 5.31

Table 5.6. Options to generate the triangulation of a very large polygon with the TrangleQGIS plugin (to fill out the required fields in the graphical interface)

Table 5.7. Number of triangles ( Δ), area and angles for the very large element in Figure 5.32

6 Mapping of Drought

Table 6.1. Download MODIS MOD13Q1data. For a color version of the table, see http://www.iste.co.uk/baghdadi/qgis4.zip

Table 6.2. Preprocessing of MODIS MOD13Q1 data. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 6.3. Calculation of VCI. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 6.4. Delimitation of drought zones. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 6.5. Calculation of agricultural, forest and urban areas affected by drought. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 6.6. Visualization of results. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

7 A Spatial Sampling Design Based on Landscape Metrics for Pest Regulation: The Millet Head Miner Case Study in the Bambey Area, Senegal

Table 7.1. Millet and tree features extraction

Table 7.2. Millet and tree surface area calculation

Table 7.3. Generate a hexagonal grid. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 7.4. Landscape metrics calculation per cell grid. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 7.5. Landscape variables combination. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 7.6. Random selection of sampling points. For a color version of the table, see www.iste.co.uk/baghdadi/qgis4.zip

Table 7.7. Converting shape file point data into GPX format

Table 7.8. Upload feature points into a GPS device

8 Modeling Erosion Risk Using the RUSLE Equation

Table 8.1. Example of correspondence table for the P factor [STO 11]

Table 8.2. Land cover types and associated C factor values [DUM 10b]

Guide

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