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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| Format: | Article |
| Language: | English |
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Дальневосточного отделения Российской академии наук, Южно-Сахалинск, Федеральное государственное бюджетное учреждение науки Институт морской геологии и геофизики
2021-03-01
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| Series: | Геосистемы переходных зон |
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| Online Access: | http://journal.imgg.ru/web/full/f2021-1-7.pdf |
| Summary: | 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. |
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| ISSN: | 2541-8912 2713-2161 |