Topic outline
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Note: please explore the contents of this course as a self-learning course. Note however that the contents of this training course were designed for a face to face context. As such, some features (assignments, discussion fora, etc) may not work properly and we cannot ensure tutor support. For any queries please contact ioc.training@unesco.org and we will do our best to redirect you to an expert that can assist you. Thank you for your understanding.
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Course Overview
The course provides an introduction to the capabilities of the Remote Sensing for the coral reefs mapping. This includes practices in processing of high spatial resolution remotely sensed data for mapping the nearshore coral reef communities. After the workshop, the trainees will be able to select the most appropriate satellite data in case, and to conduct required image processes on satellite image, as well as to produce final coral maps in GIS software.
Aims and Objectives
- Overview the principals of the developed methods for mapping the coral reefs using satellite images.
- Learning how to select the optimum satellite image in case, regarding to study area, budget, and geometry of the corals.
- Implementing the satellite image processes in practice using an image processing software to generate classified benthic habitats map from raw satellite image.
- Visualizing the final thematic map from the benthic habitats in a GIS software.
Learning Outcomes
- Understanding the principals of image processing
- Being able to use satellite image processing software(s) to perform required analysis on raw images
- Having knowledge about the different coral reefs (types and geometry)
- Knowing which method is optimum to implement the image classification for coral reefs mapping.
- Being able to visualize classified benthic habitats in a GIS software.
Target Audience
Marine researchers, PhD students and scientists working in topics related to corals reefs and other benthic habitats
Course Pre-requisites:
- Candidates should have a background knowledge on coastal habitats and specifically coral reef ecosystems.
- Working knowledge of English
- Participants need to bring their own laptop.
A certificate of participation will be issued to all successful students (90% attendance to the classroom course mandatory).
Lecturers:
- Dr. Keivan Kabiri (INIOAS)
- Dr. Kaveh Samimi-Namin (Oxford University)
- Dr. Hamid Rezai (Darya Negar Pars consulting company, Iran)
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Dr. Abdolvahab Maghsoudlou (INIOAS)
Course Topics
- An introduction to principals of Remote Sensing
- Introduction to satellite images
- Introduction to benthic habitats and coral reefs
- Introduction to map projections and datums
- Use of in image processing software to import and analyze the raw satellite image
- Producing classified maps and accuracy assessment the results
- Visualizing final results as a thematic map in a GIS software
- Introduction to OBIS and access and contribution to coral reef data on OBIS
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- Welcome & General introductions (Prof. B. Abtahi, President of INIOAS)
- Introduction to INIOAS (Dr. H. Alizadeh, Deputy of Research)
- Course overview, logistics (Dr. K. Kabiri)
- Introduction of participants
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Dr. Kaveh Samimi
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Dr. Hamid Rezai
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DwC terms Occurrence Core Occurrence Core & eMoF Event Core & Occurrence & eMoF
Dr. A. Maghsoudlou
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Keivan Kabiri
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Installation of GIS and Image processing softwares on laptops (
Keivan Kabiri
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Keivan Kabiri
Pre-processing
- Radiometric correction
- Atmospheric correction
- Geometric correction
- Water column correction
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Keivan Kabiri
Main-processing
- Image classification
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Keivan Kabiri
Post-processing
- Filtering the classified image
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Keivan Kabiri
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- Discovering Optimum Method To Extract Depth Information For Nearshore Coastal Waters From SENTINEL-2A Imagery - Case Study: Nayband Bay, Iran
- Accuracy assessment of near-shore bathymetry information retrieved from Landsat-8 imagery
- Coral reefs mapping using parasailing aerial photography feasibility study: Kish Island, Persian Gulf
- Mapping of the corals around Hendorabi Island (Persian Gulf), using WorldView-2 standard imagery coupled with field observations
- Estimation of Depth Values Using Multispectral Worldview-2 Satellite Imagery- Feasibility Study: Hendorabi Island, Persian Gulf
- Lyzenga, David R. 1978. Passive remote sensing techniques for mapping water depth and bottom features. Applied Optics, Vol. 17, No. 3, 379 - 383
- Lyzenga, David R. 1981. Remote sensing of bottom reflectance and water attenuation parameters in shallow water using aircraft and Landsat data. Int. J. Remote Sensing. Vol. 2 No. 1, 71 - 82
- Multispectral bathymetry using a simple physically based algorithm
- Mishra_etal_2006 Benthic Habitat Mapping in Tropical Marine Environments Using QuickBird Multispectral Data. Photogrammetric Engineering & Remote Sensing Vol. 72, No. 9, September 2006, pp. 1037–1048.
- Pacheco, A., et al., Retrieval of nearshore bathymetry from Landsat 8 images: A tool for coastal monitoring in shallow waters, Remote Sensing of Environment (2014), http://dx.doi.org/10.1016/j.rse.2014.12.004
- Purkis, S. J., R. Pasterkamp. Integrating in situ reef-top reflectance spectra with Landsat TM imagery to aid shallow-tropical benthic habitat mapping. Coral Reefs (2004) 23: 5–20 DOI 10.1007/s00338-003-0351-0
- Stumpf, R.P., Holderied K. and Sinclair, M. (2003) Determination of Water Depth with High Resolution Satellite Imagery over Variable Bottom Types. Limnology and Oceanography, 48, 547-556. http://dx.doi.org/10.4319/lo.2003.48.1_part_2.0547
