Analysis of Forest Condition Based on MODIS Remote-Sensing Data

被引：3

作者：

Kovalev, A., V ^{[1
]}

Voronin, V., I ^{[2
]}

Oskolkov, V. A. ^{[2
]}

Sukhovolskiy, V. G. ^{[3
]}

机构：

[1] Russian Acad Sci, Fed Res Ctr, Siberian Branch, Krasnoyarsk Sci Ctr, Krasnoyarsk 660036, Russia

[2] Russian Acad Sci, Siberian Inst Plants Physiol & Biochem, Siberian Branch, Irkutsk 664033, Russia

[3] Russian Acad Sci, Forest Inst, Siberian Branch, Krasnoyarsk 660036, Russia

来源：

CONTEMPORARY PROBLEMS OF ECOLOGY | 2021年 / 14卷 / 07期

基金：

俄罗斯基础研究基金会;

关键词：

forest stands; damage; condition; monitoring; remote-sensing data; vegetation index; TREND ANALYSIS; TIME-SERIES; SAVANNA; PHENOLOGY; DEFOLIATION; LANDSAT;

D O I：

10.1134/S199542552107009X

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

The potential for the assessment of the tree state based on remote-sensing data has been studied. The integral indicators of seasonal dynamics of the vegetation-index (NDVI) were used. The values for in 2003-2017 were compared for control (unharmed) and damaged test plots in the Khamar-Daban zone near the coast of Lake Baikal (Irkutsk oblast). It is shown that the use of the proposed integral indicators of the seasonal NDVI dynamics makes it possible to classify the test plots according to the tree state.

引用

页码：717 / 722

页数：6

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