Naturasat—a software tool for identification, monitoring and evaluation of habitats by remote sensing techniques. Mikula, K., Šibíková, M., Ambroz, M., Kollár, M., Ožvat, A. A., Urbán, J., Jarolímek, I., & Šibík, J. Remote Sensing, MDPI, 2021. Cited by: 7; All Open Access, Gold Open Access![Naturasat—a software tool for identification, monitoring and evaluation of habitats by remote sensing techniques [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex The NaturaSat software integrates various image processing techniques together with vegetation data, into one multipurpose tool that is designed for performing facilities for all requirements of habitat exploration, all in one place. It provides direct access to multispectral Sentinel-2 data provided by the European Space Agency. It supports using these data with various vegetation databases, in a user-friendly environment, for, e.g., vegetation scientists, fieldwork experts, and nature conservationists. The presented study introduces the NaturaSat software, describes new powerful tools, such as the semi-automatic and automatic segmentation methods, and natural numerical networks, together with validated examples comparing field surveys and software outputs. The software is robust enough for field work researchers and stakeholders to accurately extract target units’ borders, even on the habitat level. The deep learning algorithm, developed for habitat classification within the NaturaSat software, can also be used in various research tasks or in nature conservation practices, such as identifying ecosystem services and conservation value. The exact maps of the habitats obtained within the project can improve many further vegetation and landscape ecology studies. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
@ARTICLE{Mikula2021,
author = {Mikula, Karol and Šibíková, Mária and Ambroz, Martin and Kollár, Michal and Ožvat, Aneta A. and Urbán, Jozef and Jarolímek, Ivan and Šibík, Jozef},
title = {Naturasat—a software tool for identification, monitoring and evaluation of habitats by remote sensing techniques},
year = {2021},
journal = {Remote Sensing},
volume = {13},
number = {17},
doi = {10.3390/rs13173381},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114022851&doi=10.3390%2frs13173381&partnerID=40&md5=dfcfa0fae94fc079cf4924610f4b398b},
affiliations = {Department of Mathematics, Slovak University of Technology, Radlinského 11, Bratislava, 810 05, Slovakia; Algoritmy: SK, s.r.o., Šulekova 6, Bratislava, 811 06, Slovakia; Institute of Botany, Plant Science and Biodiversity Center SAS, Dúbravská cesta 9, Bratislava, 845 23, Slovakia},
abstract = {The NaturaSat software integrates various image processing techniques together with vegetation data, into one multipurpose tool that is designed for performing facilities for all requirements of habitat exploration, all in one place. It provides direct access to multispectral Sentinel-2 data provided by the European Space Agency. It supports using these data with various vegetation databases, in a user-friendly environment, for, e.g., vegetation scientists, fieldwork experts, and nature conservationists. The presented study introduces the NaturaSat software, describes new powerful tools, such as the semi-automatic and automatic segmentation methods, and natural numerical networks, together with validated examples comparing field surveys and software outputs. The software is robust enough for field work researchers and stakeholders to accurately extract target units’ borders, even on the habitat level. The deep learning algorithm, developed for habitat classification within the NaturaSat software, can also be used in various research tasks or in nature conservation practices, such as identifying ecosystem services and conservation value. The exact maps of the habitats obtained within the project can improve many further vegetation and landscape ecology studies. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).},
author_keywords = {Aerial photographs; Biodiversity; Curve evolution; Image segmentation; Landscape structure; Natura 2000; Satellite images; Sentinel-2; Vegetation},
keywords = {Conservation; Deep learning; Image processing; Learning algorithms; Numerical methods; Remote sensing; Vegetation; Automatic segmentations; Conservation practices; Conservation values; European Space Agency; Habitat classification; Image processing technique; Monitoring and evaluations; Remote sensing techniques; Ecosystems},
correspondence_address = {J. Šibík; Institute of Botany, Plant Science and Biodiversity Center SAS, Bratislava, Dúbravská cesta 9, 845 23, Slovakia; email: jozef.sibik@savba.sk},
publisher = {MDPI},
issn = {20724292},
language = {English},
abbrev_source_title = {Remote Sens.},
type = {Article},
publication_stage = {Final},
source = {Scopus},
note = {Cited by: 7; All Open Access, Gold Open Access}
}
Downloads: 0
{"_id":"DNN9jxS8SCyhRzvXk","bibbaseid":"mikula-ibkov-ambroz-kollr-ovat-urbn-jarolmek-ibk-naturasatasoftwaretoolforidentificationmonitoringandevaluationofhabitatsbyremotesensingtechniques-2021","author_short":["Mikula, K.","Šibíková, M.","Ambroz, M.","Kollár, M.","Ožvat, A. A.","Urbán, J.","Jarolímek, I.","Šibík, J."],"bibdata":{"bibtype":"article","type":"Article","author":[{"propositions":[],"lastnames":["Mikula"],"firstnames":["Karol"],"suffixes":[]},{"propositions":[],"lastnames":["Šibíková"],"firstnames":["Mária"],"suffixes":[]},{"propositions":[],"lastnames":["Ambroz"],"firstnames":["Martin"],"suffixes":[]},{"propositions":[],"lastnames":["Kollár"],"firstnames":["Michal"],"suffixes":[]},{"propositions":[],"lastnames":["Ožvat"],"firstnames":["Aneta","A."],"suffixes":[]},{"propositions":[],"lastnames":["Urbán"],"firstnames":["Jozef"],"suffixes":[]},{"propositions":[],"lastnames":["Jarolímek"],"firstnames":["Ivan"],"suffixes":[]},{"propositions":[],"lastnames":["Šibík"],"firstnames":["Jozef"],"suffixes":[]}],"title":"Naturasat—a software tool for identification, monitoring and evaluation of habitats by remote sensing techniques","year":"2021","journal":"Remote Sensing","volume":"13","number":"17","doi":"10.3390/rs13173381","url":"https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114022851&doi=10.3390%2frs13173381&partnerID=40&md5=dfcfa0fae94fc079cf4924610f4b398b","affiliations":"Department of Mathematics, Slovak University of Technology, Radlinského 11, Bratislava, 810 05, Slovakia; Algoritmy: SK, s.r.o., Šulekova 6, Bratislava, 811 06, Slovakia; Institute of Botany, Plant Science and Biodiversity Center SAS, Dúbravská cesta 9, Bratislava, 845 23, Slovakia","abstract":"The NaturaSat software integrates various image processing techniques together with vegetation data, into one multipurpose tool that is designed for performing facilities for all requirements of habitat exploration, all in one place. It provides direct access to multispectral Sentinel-2 data provided by the European Space Agency. It supports using these data with various vegetation databases, in a user-friendly environment, for, e.g., vegetation scientists, fieldwork experts, and nature conservationists. The presented study introduces the NaturaSat software, describes new powerful tools, such as the semi-automatic and automatic segmentation methods, and natural numerical networks, together with validated examples comparing field surveys and software outputs. The software is robust enough for field work researchers and stakeholders to accurately extract target units’ borders, even on the habitat level. The deep learning algorithm, developed for habitat classification within the NaturaSat software, can also be used in various research tasks or in nature conservation practices, such as identifying ecosystem services and conservation value. The exact maps of the habitats obtained within the project can improve many further vegetation and landscape ecology studies. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).","author_keywords":"Aerial photographs; Biodiversity; Curve evolution; Image segmentation; Landscape structure; Natura 2000; Satellite images; Sentinel-2; Vegetation","keywords":"Conservation; Deep learning; Image processing; Learning algorithms; Numerical methods; Remote sensing; Vegetation; Automatic segmentations; Conservation practices; Conservation values; European Space Agency; Habitat classification; Image processing technique; Monitoring and evaluations; Remote sensing techniques; Ecosystems","correspondence_address":"J. Šibík; Institute of Botany, Plant Science and Biodiversity Center SAS, Bratislava, Dúbravská cesta 9, 845 23, Slovakia; email: jozef.sibik@savba.sk","publisher":"MDPI","issn":"20724292","language":"English","abbrev_source_title":"Remote Sens.","publication_stage":"Final","source":"Scopus","note":"Cited by: 7; All Open Access, Gold Open Access","bibtex":"@ARTICLE{Mikula2021,\n\tauthor = {Mikula, Karol and Šibíková, Mária and Ambroz, Martin and Kollár, Michal and Ožvat, Aneta A. and Urbán, Jozef and Jarolímek, Ivan and Šibík, Jozef},\n\ttitle = {Naturasat—a software tool for identification, monitoring and evaluation of habitats by remote sensing techniques},\n\tyear = {2021},\n\tjournal = {Remote Sensing},\n\tvolume = {13},\n\tnumber = {17},\n\tdoi = {10.3390/rs13173381},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114022851&doi=10.3390%2frs13173381&partnerID=40&md5=dfcfa0fae94fc079cf4924610f4b398b},\n\taffiliations = {Department of Mathematics, Slovak University of Technology, Radlinského 11, Bratislava, 810 05, Slovakia; Algoritmy: SK, s.r.o., Šulekova 6, Bratislava, 811 06, Slovakia; Institute of Botany, Plant Science and Biodiversity Center SAS, Dúbravská cesta 9, Bratislava, 845 23, Slovakia},\n\tabstract = {The NaturaSat software integrates various image processing techniques together with vegetation data, into one multipurpose tool that is designed for performing facilities for all requirements of habitat exploration, all in one place. It provides direct access to multispectral Sentinel-2 data provided by the European Space Agency. It supports using these data with various vegetation databases, in a user-friendly environment, for, e.g., vegetation scientists, fieldwork experts, and nature conservationists. The presented study introduces the NaturaSat software, describes new powerful tools, such as the semi-automatic and automatic segmentation methods, and natural numerical networks, together with validated examples comparing field surveys and software outputs. The software is robust enough for field work researchers and stakeholders to accurately extract target units’ borders, even on the habitat level. The deep learning algorithm, developed for habitat classification within the NaturaSat software, can also be used in various research tasks or in nature conservation practices, such as identifying ecosystem services and conservation value. The exact maps of the habitats obtained within the project can improve many further vegetation and landscape ecology studies. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).},\n\tauthor_keywords = {Aerial photographs; Biodiversity; Curve evolution; Image segmentation; Landscape structure; Natura 2000; Satellite images; Sentinel-2; Vegetation},\n\tkeywords = {Conservation; Deep learning; Image processing; Learning algorithms; Numerical methods; Remote sensing; Vegetation; Automatic segmentations; Conservation practices; Conservation values; European Space Agency; Habitat classification; Image processing technique; Monitoring and evaluations; Remote sensing techniques; Ecosystems},\n\tcorrespondence_address = {J. Šibík; Institute of Botany, Plant Science and Biodiversity Center SAS, Bratislava, Dúbravská cesta 9, 845 23, Slovakia; email: jozef.sibik@savba.sk},\n\tpublisher = {MDPI},\n\tissn = {20724292},\n\tlanguage = {English},\n\tabbrev_source_title = {Remote Sens.},\n\ttype = {Article},\n\tpublication_stage = {Final},\n\tsource = {Scopus},\n\tnote = {Cited by: 7; All Open Access, Gold Open Access}\n}\n\n","author_short":["Mikula, K.","Šibíková, M.","Ambroz, M.","Kollár, M.","Ožvat, A. A.","Urbán, J.","Jarolímek, I.","Šibík, J."],"bibbaseid":"mikula-ibkov-ambroz-kollr-ovat-urbn-jarolmek-ibk-naturasatasoftwaretoolforidentificationmonitoringandevaluationofhabitatsbyremotesensingtechniques-2021","role":"author","urls":{"Paper":"https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114022851&doi=10.3390%2frs13173381&partnerID=40&md5=dfcfa0fae94fc079cf4924610f4b398b"},"keyword":["Conservation; Deep learning; Image processing; Learning algorithms; Numerical methods; Remote sensing; Vegetation; Automatic segmentations; Conservation practices; Conservation values; European Space Agency; Habitat classification; Image processing technique; Monitoring and evaluations; Remote sensing techniques; Ecosystems"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/f/akvPCQYE74MCSypqX/scopus natura 2000.bib","dataSources":["jEMMcdj2v9At9Q5md"],"keywords":["conservation; deep learning; image processing; learning algorithms; numerical methods; remote sensing; vegetation; automatic segmentations; conservation practices; conservation values; european space agency; habitat classification; image processing technique; monitoring and evaluations; remote sensing techniques; ecosystems"],"search_terms":["naturasat","software","tool","identification","monitoring","evaluation","habitats","remote","sensing","techniques","mikula","šibíková","ambroz","kollár","ožvat","urbán","jarolímek","šibík"],"title":"Naturasat—a software tool for identification, monitoring and evaluation of habitats by remote sensing techniques","year":2021}