Standard

Geomorphometry from unmanned aerial surveys. / Флоринский, Игорь; Курков, Владимир; Бляхарский, Дмитрий Петрович.

In: Transactions in GIS, Vol. 22, No. 1, 01.02.2018, p. 58-81.

Research output: Contribution to journalArticlepeer-review

Harvard

Флоринский, И, Курков, В & Бляхарский, ДП 2018, 'Geomorphometry from unmanned aerial surveys', Transactions in GIS, vol. 22, no. 1, pp. 58-81. https://doi.org/10.1111/tgis.12296

APA

Флоринский, И., Курков, В., & Бляхарский, Д. П. (2018). Geomorphometry from unmanned aerial surveys. Transactions in GIS, 22(1), 58-81. https://doi.org/10.1111/tgis.12296

Vancouver

Флоринский И, Курков В, Бляхарский ДП. Geomorphometry from unmanned aerial surveys. Transactions in GIS. 2018 Feb 1;22(1):58-81. https://doi.org/10.1111/tgis.12296

Author

Флоринский, Игорь ; Курков, Владимир ; Бляхарский, Дмитрий Петрович. / Geomorphometry from unmanned aerial surveys. In: Transactions in GIS. 2018 ; Vol. 22, No. 1. pp. 58-81.

BibTeX

@article{6ac98f3641524331b318a93b73869563,
title = "Geomorphometry from unmanned aerial surveys",
abstract = "Unmanned aerial systems (UASs) are widely used for remote sensing, including the production of high-resolution digital elevation models (DEMs). We study the possibilities of UAS-based aerial surveys to produce photogrammetrically sound, high-resolution DEMs intended for geomorphometric modeling. The study was conducted at the Zaoksky testing ground (Russia). To carry out an aerial survey, we used a UAS Geoscan-101 equipped with a Sony DSC-RX1 camera and a Topcon GNSS receiver. Aerial photographs were processed using Agisoft PhotoScan Professional software. Applying dense point cloud generation and classification, we produced DEMs with resolutions of 6 cm, 20 cm, and 1 m. Using a universal spectral analytical method, we derived models of several morphometric variables (i.e., slope gradient, horizontal, vertical, minimal, and maximal curvatures) from DEMs with resolutions of 20 cm and 1 m. We found that it is possible to produce noiseless models and well-readable maps of morphometric variables for grassy areas with separately standing groups of trees and shrubs. However, UAS-based DEMs cannot be applied for modeling of forested areas: there occur pronounced unrecoverable artifacts due to errors of automated classification of the dense point cloud. Finally, we present recommendations for the production of UAS-derived, photogrammetrically sound, high-resolution DEMs intended for geomorphometry.",
author = "Игорь Флоринский and Владимир Курков and Бляхарский, {Дмитрий Петрович}",
year = "2018",
month = feb,
day = "1",
doi = "10.1111/tgis.12296",
language = "English",
volume = "22",
pages = "58--81",
journal = "Transactions in GIS",
issn = "1361-1682",
publisher = "Wiley-Blackwell",
number = "1",

}

RIS

TY - JOUR

T1 - Geomorphometry from unmanned aerial surveys

AU - Флоринский, Игорь

AU - Курков, Владимир

AU - Бляхарский, Дмитрий Петрович

PY - 2018/2/1

Y1 - 2018/2/1

N2 - Unmanned aerial systems (UASs) are widely used for remote sensing, including the production of high-resolution digital elevation models (DEMs). We study the possibilities of UAS-based aerial surveys to produce photogrammetrically sound, high-resolution DEMs intended for geomorphometric modeling. The study was conducted at the Zaoksky testing ground (Russia). To carry out an aerial survey, we used a UAS Geoscan-101 equipped with a Sony DSC-RX1 camera and a Topcon GNSS receiver. Aerial photographs were processed using Agisoft PhotoScan Professional software. Applying dense point cloud generation and classification, we produced DEMs with resolutions of 6 cm, 20 cm, and 1 m. Using a universal spectral analytical method, we derived models of several morphometric variables (i.e., slope gradient, horizontal, vertical, minimal, and maximal curvatures) from DEMs with resolutions of 20 cm and 1 m. We found that it is possible to produce noiseless models and well-readable maps of morphometric variables for grassy areas with separately standing groups of trees and shrubs. However, UAS-based DEMs cannot be applied for modeling of forested areas: there occur pronounced unrecoverable artifacts due to errors of automated classification of the dense point cloud. Finally, we present recommendations for the production of UAS-derived, photogrammetrically sound, high-resolution DEMs intended for geomorphometry.

AB - Unmanned aerial systems (UASs) are widely used for remote sensing, including the production of high-resolution digital elevation models (DEMs). We study the possibilities of UAS-based aerial surveys to produce photogrammetrically sound, high-resolution DEMs intended for geomorphometric modeling. The study was conducted at the Zaoksky testing ground (Russia). To carry out an aerial survey, we used a UAS Geoscan-101 equipped with a Sony DSC-RX1 camera and a Topcon GNSS receiver. Aerial photographs were processed using Agisoft PhotoScan Professional software. Applying dense point cloud generation and classification, we produced DEMs with resolutions of 6 cm, 20 cm, and 1 m. Using a universal spectral analytical method, we derived models of several morphometric variables (i.e., slope gradient, horizontal, vertical, minimal, and maximal curvatures) from DEMs with resolutions of 20 cm and 1 m. We found that it is possible to produce noiseless models and well-readable maps of morphometric variables for grassy areas with separately standing groups of trees and shrubs. However, UAS-based DEMs cannot be applied for modeling of forested areas: there occur pronounced unrecoverable artifacts due to errors of automated classification of the dense point cloud. Finally, we present recommendations for the production of UAS-derived, photogrammetrically sound, high-resolution DEMs intended for geomorphometry.

UR - http://www.scopus.com/inward/record.url?scp=85030244867&partnerID=8YFLogxK

U2 - 10.1111/tgis.12296

DO - 10.1111/tgis.12296

M3 - Article

VL - 22

SP - 58

EP - 81

JO - Transactions in GIS

JF - Transactions in GIS

SN - 1361-1682

IS - 1

ER -

ID: 9307648