Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 5, pp. 110-119
Water content variations in the tundra land cover: evidence from multispectral satellite imagery (a case study of a liquefied natural gas plant construction site, Yamal Peninsula)
1 Oil and Gas Research Institute RAS, Moscow, Russia
Accepted: 23.08.2018
DOI: 10.21046/2070-7401-2018-15-5-110-119
Developing methods for large-scale mapping of water content variatons in tundra vegetation and soil using remote sensing is of special importance for predicting geocryological hazard at sites of petroleum production and transportation in permafrost. The paper presents basic principles of multiparametric analysis applied to spaceborne data of different scales in order to detect and characterize anomalous changes in land cover water content. The study was performed at the construction site of a liquefied natural gas plant in the Yamal Peninsula using Landsat-8, Ikonos, and Planet Scope data of 2013 and 2017. The data were used to find empirical relationships that describe the behavior of normalized difference vegetaion and water indexes (NDVI and NDWI, respectively) and reflectance at red and near-infrared wavelengths as a function of land surface temperatures (LST). Zones of water content changes in the tundra land cover were outlined from changes in the LST and in the NDWI and temperature-vegetation (TVX) spectral indexes based on Landsat-8 data. The results prove that NDVI and red and near-infrared reflectance derived from high-resolution satellite imagery can be used as proxies of water content changes in the tundra land cover. The suggested multiparametric analysis of spaceborne data improves the quality of water content variation estimates due to reduction of random effects.
Keywords: water content, remote sensing, reflectance, land cover, spectral index, tundra
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