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

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Using remote sensing data to create maps of vegetation and relief for natural resource management of a large administrative region. / Artemeva, O. V.; Zareie, S.; Elhaei, Y.; Pozdnyakova, N. A.; Vasilev, N. D.

In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 42, No. 4/W18, 18.10.2019, p. 103-109.

Research output: Contribution to journal › Conference article › peer-review

BibTeX

@article{30145bb3192e449a97461f069f00628e,

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

abstract = "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.",

keywords = "данные дистанционного зондирования, карты рельефа, карты растительности, цифровые модели, создание ГИС",

author = "Artemeva, {O. V.} and S. Zareie and Y. Elhaei and Pozdnyakova, {N. A.} and Vasilev, {N. D.}",

year = "2019",

month = oct,

day = "18",

doi = "10.5194/isprs-archives-XLII-4-W18-103-2019",

language = "English",

volume = "42",

pages = "103--109",

journal = "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences",

issn = "1682-1750",

publisher = "International Society for Photogrammetry and Remote Sensing",

number = "4/W18",

note = "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 ; Conference date: 12-10-2019 Through 14-10-2019",

}

RIS

TY - JOUR

T1 - Using remote sensing data to create maps of vegetation and relief for natural resource management of a large administrative region

AU - Artemeva, O. V.

AU - Zareie, S.

AU - Elhaei, Y.

AU - Pozdnyakova, N. A.

AU - Vasilev, N. D.

PY - 2019/10/18

Y1 - 2019/10/18

N2 - 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.

AB - 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.

KW - данные дистанционного зондирования

KW - карты рельефа

KW - карты растительности

KW - цифровые модели

KW - создание ГИС

UR - http://www.scopus.com/inward/record.url?scp=85083239034&partnerID=8YFLogxK

U2 - 10.5194/isprs-archives-XLII-4-W18-103-2019

DO - 10.5194/isprs-archives-XLII-4-W18-103-2019

M3 - Conference article

AN - SCOPUS:85083239034

VL - 42

SP - 103

EP - 109

JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

SN - 1682-1750

IS - 4/W18

T2 - 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

Y2 - 12 October 2019 through 14 October 2019

ER -

ID: 102198909