ANALYSIS OF THE CURRENT STATE OF SHELTERBELTS BY THE REMOTE SENSING DATA: RUSSIA, BELGOROD OBLAST

Estimation of forest cover restoration damaged by Siberian silkmoth using remote sensing data and maps

E3S Web of Conferences ◽

10.1051/e3sconf/20197502005 ◽

2019 ◽

Vol 75 ◽

pp. 02005

Author(s):

Elena Fedotova

Keyword(s):

Remote Sensing ◽

Land Cover ◽

Tree Species ◽

Forest Cover ◽

Remote Sensing Data ◽

Deciduous Forests ◽

Sensing Data ◽

Current State

The current state of the land cover has been estimated in the territories where in different years (1885, 1955, 1995) the forests were damaged by Siberian silkmoth. Dark-needle taiga is restored through the change of tree species. In 20 years in areas of dark-needle taiga there are graminoid communities, in 60 years we have deciduous forests there, and in 130 - dark needle forests, but not everywhere.

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Development of the preventive natural fire danger assessment algorithm using remote sensing data

Geodesy and Cartography ◽

10.22389/0016-7126-2019-943-1-102-109 ◽

2019 ◽

Vol 943 (1) ◽

pp. 102-109 ◽

Cited By ~ 1

Author(s):

A.T. Gizatullin ◽

N.A. Alekseenko ◽

V.S. Moiseeva

Keyword(s):

Remote Sensing ◽

General Structure ◽

Remote Sensing Data ◽

Fire Danger ◽

Filling Process ◽

Program Code ◽

Natural Fire ◽

Sensing Data ◽

Danger Assessment ◽

Current State

This article is devoted to the development of an algorithm for the preventive assessment of the fire danger of natural areas using remote sensing data (the preventive natural fire danger assessment algorithm). The problems of the current state of the remote sensing materials use for fires researches as a justification for the need of the algorithm are considered. A review of existing methods and algorithms of natural fire danger assessment is done. The algorithm development includes description of the general structure and the content filling process of different algorithm components. The algorithm is a stages sequence of remote sensing data processing and analysis in terms of fire danger. As a result of algorithm, the fire danger assessment of the observed territory is formed. A special feature of the algorithm is its preventiveness, universality (applicability for any territory), practical automatability (the ability to represent in the form of a program code for the processing of RSD) and flexibility (the ability to add and branch the sequence). In the end, general conclusions and recommendations on the use of the algorithm are given.

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