Mapping of peatlands in the Moscow oblast based on high-resolution remote sensing data

被引：0
|
作者：
A. A. Sirin
A. A. Maslov
N. A. Valyaeva
O. P. Tsyganova
T. V. Glukhova
机构：
[1] Russian Academy of Sciences,Institute of Forest Science
来源：
Contemporary Problems of Ecology | 2014年 / 7卷
关键词：
peatlands; peatbogs; remote sensing; mapping; Moscow oblast; Spot 5; GIS;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Peatlands, including those transformed by economic activities (drainage for forestry and agriculture, peat extraction), belong to various land categories. There is no general system for their inventory and accounting. Remote sensing methodology based on high-resolution space imagery is proposed and applied for mapping peatlands of different types and states based on the example of Moscow oblast. The methodology can be used to solve scientific and practical tasks that require the development of a regional peatland geoin-formation system (GIS) using a common base map. The total area of peatlands and peatbogs is shown to surpass 6% of the oblast territory.
引用
收藏
页码：808 / 814
页数：6
相关论文
共 50 条
  • [1] Mapping of peatlands in the Moscow oblast based on high-resolution remote sensing data
    Sirin, A. A.
    Maslov, A. A.
    Valyaeva, N. A.
    Tsyganova, O. P.
    Glukhova, T. V.
    CONTEMPORARY PROBLEMS OF ECOLOGY, 2014, 7 (07) : 808 - 814
  • [2] The power of integrating proximal and high-resolution remote sensing for mapping SOC stocks in agricultural peatlands
    Wanderson de Sousa Mendes
    Michael Sommer
    Sylvia Koszinski
    Marc Wehrhan
    Plant and Soil, 2023, 492 : 501 - 517
  • [3] The power of integrating proximal and high-resolution remote sensing for mapping SOC stocks in agricultural peatlands
    Mendes, Wanderson de Sousa
    Sommer, Michael
    Koszinski, Sylvia
    Wehrhan, Marc
    PLANT AND SOIL, 2023, 492 (1-2) : 501 - 517
  • [4] ET Mapping with High-Resolution Airborne Remote Sensing Data in an Advective Semiarid Environment
    Chavez, J. L.
    Gowda, P. H.
    Howell, T. A.
    Garcia, L. A.
    Copeland, K. S.
    Neale, C. M. U.
    JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2012, 138 (05) : 416 - 423
  • [5] High-resolution mapping of protected agriculture in Mexico, through remote sensing data cloud geoprocessing
    Alejandro Perilla, Gabriel
    Mas, Jean-Francois
    EUROPEAN JOURNAL OF REMOTE SENSING, 2019, 52 (01) : 532 - 541
  • [6] Optimisation of global grids for high-resolution remote sensing data
    Bauer-Marschallinger, Bernhard
    Sabel, Daniel
    Wagner, Wolfgang
    COMPUTERS & GEOSCIENCES, 2014, 72 : 84 - 93
  • [7] Factors controlling peat soil thickness and carbon storage in temperate peatlands based on UAV high-resolution remote sensing
    Li, Yanfei
    Henrion, Maud
    Moore, Angus
    Lambot, Sebastien
    Opfergelt, Sophie
    Vanacker, Veerle
    Jonard, Francois
    Van Oost, Kristof
    GEODERMA, 2024, 449
  • [8] Flood Damage Modeling on the Basis of Urban Structure Mapping Using High-Resolution Remote Sensing Data
    Gerl, Tina
    Bochow, Mathias
    Kreibich, Heidi
    WATER, 2014, 6 (08) : 2367 - 2393
  • [9] A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture
    Babaeian, Ebrahim
    Sidike, Paheding
    Newcomb, Maria S.
    Maimaitijiang, Maitiniyazi
    White, Scott A.
    Demieville, Jeffrey
    Ward, Richard W.
    Sadeghi, Morteza
    LeBauer, David S.
    Jones, Scott B.
    Sagan, Vasit
    Tuller, Markus
    FRONTIERS IN BIG DATA, 2019, 2
  • [10] Mapping Entomological Dengue Risk Levels in Martinique Using High-Resolution Remote-Sensing Environmental Data
    Machault, Vanessa
    Yebakima, Andre
    Etienne, Manuel
    Vignolles, Cecile
    Palany, Philippe
    Tourre, Yves M.
    Guerecheau, Marine
    Lacaux, Jean-Pierre
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2014, 3 (04): : 1352 - 1371
12345