Using remote sensing data to create maps of vegetation and relief for natural resource management of a large administrative region

Переведенное название: Использование данных дистанционного зондирования для создания карт растительности и рельефа для оценки крупных административных регионов

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

The authors offer methods for mapping nature, in particular, vegetation and relief maps using remote sensing data. These thematic maps are most often used by administrators of different levels for environmental and territorial management. In the Russian Federation administrative territories occupied large areas. The algorithm for constructing visual models using remote sensing data for large administrative areas differs from the algorithms for working with small territories. Automated mapping method includes the analysis of the territory by indicators of topography and dominant vegetation, the selection of satellite images, processing, composing mosaics, composites, classification of plant objects, post-processing. The authors offer to use a specific data source, because the quality of the materials is sufficient for working with large areas. Classifications-the most complicated section. At the moment, scientists have not proposed an unambiguous solution to the choice of algorithm. However, the authors of this study experimentally came to the most convenient algorithm, which we characterize as the main one precisely for the purposes of managing natural resources of large administrative structures (regions with legally fixed boundaries). Examples of the thematic maps fragments and results of intermediate versions of visual models built by automated methods are given. The potential use of methods by municipal employees, rather than narrow specialists, was taken into account. In this regard, the value of the study is an exclusively applied nature and can be used in the administrative structures of the executive authorities.

Переведенное названиеИспользование данных дистанционного зондирования для создания карт растительности и рельефа для оценки крупных административных регионов
Язык оригиналаанглийский
Название основной публикацииISPRS International GeoSpatial Conference 2019, Joint Conferences of 5th Sensors and Models in Photogrammetry and Remote Sensing, SMPR 2019 and 3rd Geospatial Information Research, GI Research 2019
Место публикацииIran
Страницы103-109
Число страниц7
Том42
Издание4/W18
DOI
СостояниеОпубликовано - 18 окт 2019
СобытиеISPRS International GeoSpatial Conference 2019, Joint Conferences of 5th Sensors and Models in Photogrammetry and Remote Sensing, SMPR 2019 and 3rd Geospatial Information Research, GI Research 2019 - Karaj, Исламская Республика Иран
Продолжительность: 12 окт 201914 окт 2019

Серия публикаций

НазваниеInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
ISSN (печатное издание)1682-1750

конференция

конференцияISPRS International GeoSpatial Conference 2019, Joint Conferences of 5th Sensors and Models in Photogrammetry and Remote Sensing, SMPR 2019 and 3rd Geospatial Information Research, GI Research 2019
СтранаИсламская Республика Иран
ГородKaraj
Период12/10/1914/10/19

Предметные области Scopus

  • Информационные системы
  • География, планирование и развитие

Ключевые слова

  • данные дистанционного зондирования
  • карты рельефа
  • карты растительности
  • цифровые модели
  • создание ГИС

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  • Цитировать

    Artemeva, O. V., Zareie, S., Elhaei, Y., Pozdnyakova, N. A., & Vasilev, N. D. (2019). Using remote sensing data to create maps of vegetation and relief for natural resource management of a large administrative region. В ISPRS International GeoSpatial Conference 2019, Joint Conferences of 5th Sensors and Models in Photogrammetry and Remote Sensing, SMPR 2019 and 3rd Geospatial Information Research, GI Research 2019 (4/W18 ред., Том 42, стр. 103-109). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives).. https://doi.org/10.5194/isprs-archives-XLII-4-W18-103-2019