Maps of averaged spectral deviations from soil lines and their comparison with traditional soil maps


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The analysis of 34 cloudless fragments of Landsat 5, 7, and 8 images (1985–2014) on the territory of Plavsk, Arsen’evsk, and Chern districts of Tula oblast has been performed. It is shown that bare soil surface on the RED–NIR plots derived from the images cannot be described in the form of a sector of spectral plane as it can be done for the NDVI values. The notion of spectral neighborhood of soil line (SNSL) is suggested. It is defined as the sum of points of the RED–NIR spectral space, which are characterized by spectral characteristics of the bare soil applied for constructing soil lines. The way of the SNSL separation along the line of the lowest concentration density of points on the RED–NIR spectral space is suggested. This line separates bare soil surface from vegetating plants. The SNSL has been applied to construct soil line (SL) for each of the 34 images and to delineate bare soil surface on them. Distances from the points with averaged RED–NIR coordinates to the SL have been calculated using the method of moving window. These distances can be referred to as averaged spectral deviations (ASDs). The calculations have been performed strictly for the SNSL areas. As a result, 34 maps of ASDs have been created. These maps contain ASD values for 6036 points of a grid used in the study. Then, the integral map of normalized ASD values has been built with due account for the number of points participating in the calculation (i.e., lying in the SNSL) within the moving window. The integral map of ASD values has been compared with four traditional soil maps on the studied territory. It is shown that this integral map can be interpreted in terms of soil taxa: the areas of seven soil subtypes (soddy moderately podzolic, soddy slightly podzolic, light gray forest. gray forest, dark gray forest, podzolized chernozems, and leached chernozems) belonging to three soil types (soddy-podzolic, gray forest, and chernozemic soils) can be delineated on it.

作者简介

D. Rukhovich

Dokuchaev Soil Science Institute

Email: landmap@yandex.ru
俄罗斯联邦, per. Pyzhevskii 7, Moscow, 119017

A. Rukhovich

Lomonosov Moscow State University

编辑信件的主要联系方式.
Email: landmap@yandex.ru
俄罗斯联邦, Leninskie gory 1, Moscow, 119991

D. Rukhovich

Lomonosov Moscow State University

Email: landmap@yandex.ru
俄罗斯联邦, Leninskie gory 1, Moscow, 119991

M. Simakova

Dokuchaev Soil Science Institute

Email: landmap@yandex.ru
俄罗斯联邦, per. Pyzhevskii 7, Moscow, 119017

A. Kulyanitsa

LLC Geoinformatika

Email: landmap@yandex.ru
俄罗斯联邦, ul. 8 Marta 10, Moscow, 127083

A. Bryzzhev

Dokuchaev Soil Science Institute

Email: landmap@yandex.ru
俄罗斯联邦, per. Pyzhevskii 7, Moscow, 119017

P. Koroleva

Dokuchaev Soil Science Institute

Email: landmap@yandex.ru
俄罗斯联邦, per. Pyzhevskii 7, Moscow, 119017

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