Estimation of Postfire Reforestation with SAR Polarimetry and NDVI Time Series

被引：5

作者：

Bondur, Valery ^{[1
]}

Chimitdorzhiev, Tumen ^{[1
,2
]}

Kirbizhekova, Irina ^{[1
,2
]}

Dmitriev, Aleksey ^{[1
,2
]}

机构：

[1] AEROCOSMOS Res Inst Aerosp Monitoring, Moscow 105064, Russia

[2] Inst Phys Mat Sci SB RAS, Ulan Ude 670047, Russia

来源：

FORESTS | 2022年 / 13卷 / 05期

关键词：

reforestation; SAR polarimetry; Cloude-Pottier decomposition; ALOS-2; PALSAR-2; NDVI; time series; seasonal changes; Landsat; SATELLITE; EMISSIONS; WILDFIRES; FOREST; TRENDS; AREAS;

D O I：

10.3390/f13050814

中图分类号：

S7 [林业];

学科分类号：

0829 ; 0907 ;

摘要：

This communication is devoted to the methodology of remote complex analysis of forest restoration after strong wildfires. It is proposed to quantify the projective leaf/needles area index by multispectral optical images. The increase in dimensions of trunks and branches commensurate with a radar wavelength of 24 cm is estimated using radar polarimetric data. It is shown that the growth's potential of aboveground biomass in different spots of test site ranges from 35 to 70% in the case under consideration. Such a new approach will make it possible to further consider more accurately the role of boreal forests as one of the largest carbon stocks.

引用

页数：10

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