A Collection of Novel Algorithms for Wetland Classification with SAR and Optical Data
Wetlands are valuable natural resources that provide many benefits to the environment, and thus, mapping wetlands is crucially important. We have developed land cover and wetland classification algorithms that have general applicability to different geographical locations. We also want a high level...
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ftopenresearchl:oai:biblioboard.com:60339f98-4e42-481d-b5a4-092d3ffc3df1 2023-07-02T03:33:01+02:00 A Collection of Novel Algorithms for Wetland Classification with SAR and Optical Data Salehi, Bahram Brisco, Brian Mahdavi, Sahel Granger, Jean M.Manesh, Fariba Amani, Meisam Mahdianpari, Masoud 2022-01-01T00:00:00Z application/pdf https://openresearchlibrary.org/viewer/60339f98-4e42-481d-b5a4-092d3ffc3df1 https://openresearchlibrary.org/ext/api/media/60339f98-4e42-481d-b5a4-092d3ffc3df1/assets/external_content.pdf English eng https://openresearchlibrary.org/viewer/60339f98-4e42-481d-b5a4-092d3ffc3df1 https://openresearchlibrary.org/ext/api/media/60339f98-4e42-481d-b5a4-092d3ffc3df1/assets/external_content.pdf https://creativecommons.org/licenses/by/4.0/legalcode MODID-6d55e02e354:IntechOpen Science / Environmental Science bisacsh:SCI026000 CHAPTER 2022 ftopenresearchl 2023-06-11T22:41:59Z Wetlands are valuable natural resources that provide many benefits to the environment, and thus, mapping wetlands is crucially important. We have developed land cover and wetland classification algorithms that have general applicability to different geographical locations. We also want a high level of classification accuracy (i.e., more than 90%). Over that past 2 years, we have been developing an operational wetland classification approach aimed at a Newfoundland/Labrador province-wide wetland inventory. We have developed and published several algorithms to classify wetlands using multi-source data (i.e., polarimetric SAR and multi-spectral optical imagery), object-based image analysis, and advanced machine-learning tools. The algorithms have been tested and verified on many large pilot sites across the province and provided overall and class-based accuracies of about 90%. The developed methods have general applicability to other Canadian provinces (with field validation data) allowing the creation of a nation-wide wetland inventory system. Article in Journal/Newspaper Newfoundland Open Research Library Newfoundland |
institution |
Open Polar |
collection |
Open Research Library |
op_collection_id |
ftopenresearchl |
language |
English |
topic |
Science / Environmental Science bisacsh:SCI026000 |
spellingShingle |
Science / Environmental Science bisacsh:SCI026000 Salehi, Bahram A Collection of Novel Algorithms for Wetland Classification with SAR and Optical Data |
topic_facet |
Science / Environmental Science bisacsh:SCI026000 |
description |
Wetlands are valuable natural resources that provide many benefits to the environment, and thus, mapping wetlands is crucially important. We have developed land cover and wetland classification algorithms that have general applicability to different geographical locations. We also want a high level of classification accuracy (i.e., more than 90%). Over that past 2 years, we have been developing an operational wetland classification approach aimed at a Newfoundland/Labrador province-wide wetland inventory. We have developed and published several algorithms to classify wetlands using multi-source data (i.e., polarimetric SAR and multi-spectral optical imagery), object-based image analysis, and advanced machine-learning tools. The algorithms have been tested and verified on many large pilot sites across the province and provided overall and class-based accuracies of about 90%. The developed methods have general applicability to other Canadian provinces (with field validation data) allowing the creation of a nation-wide wetland inventory system. |
author2 |
Brisco, Brian Mahdavi, Sahel Granger, Jean M.Manesh, Fariba Amani, Meisam Mahdianpari, Masoud |
format |
Article in Journal/Newspaper |
author |
Salehi, Bahram |
author_facet |
Salehi, Bahram |
author_sort |
Salehi, Bahram |
title |
A Collection of Novel Algorithms for Wetland Classification with SAR and Optical Data |
title_short |
A Collection of Novel Algorithms for Wetland Classification with SAR and Optical Data |
title_full |
A Collection of Novel Algorithms for Wetland Classification with SAR and Optical Data |
title_fullStr |
A Collection of Novel Algorithms for Wetland Classification with SAR and Optical Data |
title_full_unstemmed |
A Collection of Novel Algorithms for Wetland Classification with SAR and Optical Data |
title_sort |
collection of novel algorithms for wetland classification with sar and optical data |
publishDate |
2022 |
url |
https://openresearchlibrary.org/viewer/60339f98-4e42-481d-b5a4-092d3ffc3df1 https://openresearchlibrary.org/ext/api/media/60339f98-4e42-481d-b5a4-092d3ffc3df1/assets/external_content.pdf |
geographic |
Newfoundland |
geographic_facet |
Newfoundland |
genre |
Newfoundland |
genre_facet |
Newfoundland |
op_source |
MODID-6d55e02e354:IntechOpen |
op_relation |
https://openresearchlibrary.org/viewer/60339f98-4e42-481d-b5a4-092d3ffc3df1 https://openresearchlibrary.org/ext/api/media/60339f98-4e42-481d-b5a4-092d3ffc3df1/assets/external_content.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/legalcode |
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1770272789861761024 |