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Методика создания комплексной электронной сельскохозяйственной карты на территорию Вьетнама по данным дистанционного зондирования Земли из космоса

Методика создания комплексной электронной сельскохозяйственной карты на территорию Вьетнама по данным дистанционного зондирования Земли из космоса

Abstract

Территориальное и ресурсное развитие Вьетнама не может быть выполнено без картографического обеспечения социально-экономических задач, в том числе сельскохозяйственных проблем. Представлена методика создания комплексной электронной сельскохозяйственной карты на территорию Северного Вьетнама по данным дистанционного зондирования Земли из космоса как инструмента отображения состава, состояния и структуры сельского хозяйства страны. Изложена оригинальная технология тематической классификации сельскохозяйственных комплексов и объектов по космическим снимкам со спутников Landsat 5, 7, 8. Выполнен анализ спектральных характеристик объектов на космических снимках, сопоставленных с данными полевых обследований. Составлена матрица ошибок результата автоматизированной классификации с обучением, результаты которой были использованы для оценки спектрального анализа сельскохозяйственных объектов. Точность классификации составила 92,88 %. Приведено содержание комплексной сельскохозяйственной карты, которое дает представление о классификации, характеристиках и структуры сельскохозяйственной деятельности страны.

Territorial and resource development of Vietnam cannot be performed without mapping the socio-economic problems, including agricultural problems. The method of creating integrated electronic agricultural maps on the territory of North Vietnam according to remote sensing of the Earth from space as a tool for mapping composition, condition and structure of agriculture in the country. Described original technology is the thematic classification of agricultural complexes and objects on satellite images from Landsat 5, 7, 8. The analysis of spectral characteristics of objects on satellite images, compared with data from field surveys. Compiled the error matrix of the result of automatic supervised classification, the results of which were used to assess the spectral analysis of the agricultural objects. Classification accuracy amounted to 92 and 88 %. Given the content of the comprehensive agricultural maps, which gives an idea about the classification, characteristics and structure of agricultural activity in the country.

Keywords

СЕЛЬСКОХОЗЯЙСТВЕННОЕ КАРТОГРАФИРОВАНИЕ,ДИСТАНЦИОННОЕ ЗОНДИРОВАНИЕ ЗЕМЛИ,ГЕОИНФОРМАЦИОННАЯ СИСТЕМА,СЕЛЬСКОХОЗЯЙСТВЕННЫЕ КОМПЛЕКСЫ,ДЕШИФРИРОВАНИЕ КОСМИЧЕСКИХ СНИМКОВ,КОМПЛЕКСНАЯ СЕЛЬСКОХОЗЯЙСТВЕННАЯ КАРТА,ТЕМАТИЧЕСКАЯ КЛАССИФИКАЦИЯ КОСМИЧЕСКИХ СНИМКОВ,МАТРИЦА ОШИБОК,AGRICULTURAL MAPPING,REMOTE SENSING,GEOGRAPHIC INFORMATION SYSTEM,AGRICULTURAL SYSTEMS,INTERPRETATION OF SPACE IMAGES,COMPREHENSIVE AGRICULTURAL MAP,THEMATIC CLASSIFICATION OF SATELLITE IMAGES,THE ERROR MATRIX

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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