An algorithm for processing ice areas by Earth remote sensing data (by the example of MASIE-NH data)

An algorithm was developed to automate processing of large datasets of Earth remote sensing. The algorithm was developed and implemented in the form of an M-Processor program in the Python programming language using the modules of the ArcGIS Desktop 10.2 software, which allows complex calculations w...

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Main Author: Vasily S. Nikonov
Format: Article
Language:English
Published: Дальневосточного отделения Российской академии наук, Южно-Сахалинск, Федеральное государственное бюджетное учреждение науки Институт морской геологии и геофизики 2021-03-01
Series:Геосистемы переходных зон
Subjects:
Online Access:http://journal.imgg.ru/web/full/f2021-1-7.pdf
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spelling doaj-331ba611ef6f4ff997d28547b5e4dc252021-04-09T16:34:23ZengДальневосточного отделения Российской академии наук, Южно-Сахалинск, Федеральное государственное бюджетное учреждение науки Институт морской геологии и геофизикиГеосистемы переходных зон2541-89122713-21612021-03-01516771https://doi.org/10.30730/gtrz.2021.5.1.067-071An algorithm for processing ice areas by Earth remote sensing data (by the example of MASIE-NH data)Vasily S. Nikonov0Sakhalin State University, Technical Oil and Gas Institute, Yuzhno-Sakhalinsk, RussiaAn algorithm was developed to automate processing of large datasets of Earth remote sensing. The algorithm was developed and implemented in the form of an M-Processor program in the Python programming language using the modules of the ArcGIS Desktop 10.2 software, which allows complex calculations without spending additional time on programming and reduces the number of manipulations for calculating separate desired characteristics. The implementation of the developed algorithm is considered on the example of ice data processing for the Sea of Okhotsk according to the data of the Multisensor Analyzed Sea Ice Extent – Northern Hemisphere (MASIE-NH) with a spatial resolution of 1 and 4 km and an ice-cover zoning mask.http://journal.imgg.ru/web/full/f2021-1-7.pdfsea iceearth remote sensinggeographic information systemssoftwaremultisensor analyzed sea ice extent – northern hemisphere
collection DOAJ
language English
format Article
sources DOAJ
author Vasily S. Nikonov
spellingShingle Vasily S. Nikonov
An algorithm for processing ice areas by Earth remote sensing data (by the example of MASIE-NH data)
Геосистемы переходных зон
sea ice
earth remote sensing
geographic information systems
software
multisensor analyzed sea ice extent – northern hemisphere
author_facet Vasily S. Nikonov
author_sort Vasily S. Nikonov
title An algorithm for processing ice areas by Earth remote sensing data (by the example of MASIE-NH data)
title_short An algorithm for processing ice areas by Earth remote sensing data (by the example of MASIE-NH data)
title_full An algorithm for processing ice areas by Earth remote sensing data (by the example of MASIE-NH data)
title_fullStr An algorithm for processing ice areas by Earth remote sensing data (by the example of MASIE-NH data)
title_full_unstemmed An algorithm for processing ice areas by Earth remote sensing data (by the example of MASIE-NH data)
title_sort algorithm for processing ice areas by earth remote sensing data (by the example of masie-nh data)
publisher Дальневосточного отделения Российской академии наук, Южно-Сахалинск, Федеральное государственное бюджетное учреждение науки Институт морской геологии и геофизики
series Геосистемы переходных зон
issn 2541-8912
2713-2161
publishDate 2021-03-01
description An algorithm was developed to automate processing of large datasets of Earth remote sensing. The algorithm was developed and implemented in the form of an M-Processor program in the Python programming language using the modules of the ArcGIS Desktop 10.2 software, which allows complex calculations without spending additional time on programming and reduces the number of manipulations for calculating separate desired characteristics. The implementation of the developed algorithm is considered on the example of ice data processing for the Sea of Okhotsk according to the data of the Multisensor Analyzed Sea Ice Extent – Northern Hemisphere (MASIE-NH) with a spatial resolution of 1 and 4 km and an ice-cover zoning mask.
topic sea ice
earth remote sensing
geographic information systems
software
multisensor analyzed sea ice extent – northern hemisphere
url http://journal.imgg.ru/web/full/f2021-1-7.pdf
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