EVALUATION OF FOREST DEGRADATION METHODOLOGIES USING LANDSAT TIME SERIES ON ARGENTINEAN DRY CHACO FOREST

被引：0

作者：

Banchero, Santiago ^{[1
]}

Veron, Santiago ^{[1
,2
,3
]}

De Abelleyra, Diego ^{[1
]}

Caride, Costanza ^{[3
]}

Gasparri, Ignacio ^{[2
]}

机构：

[1] Inst Clima & Agua INTA, Buenos Aires, Argentina

[2] Inst Ecol Reg UNT CONICET, Buenos Aires, Argentina

[3] Univ Buenos Aires, Fac Agron, Buenos Aires, Argentina

来源：

IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年

关键词：

CODED; BFAST; FCDM; Forest Disturbance; Temperate forests;

D O I：

10.1109/IGARSS52108.2023.10282634

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Nowadays, several methodologies allow disturbance detection in tropical forests with good results. On the other hand, subtropical forests represent a challenger as the robustness of these tools can be reduced by seasonality. In this work, we test three disturbance detection methods to assess their performance in a biome with a dry season like the Argentinean dry Chaco forest. We focused on the evaluation of both the accuracy and the number of hits by type of disturbance. The methods show acceptable accuracy values for the complexity of the problem and proved to be a very useful tool as a proxy of deforestation.

引用

页码：3009 / 3012

页数：4

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