2018
DOI: 10.1109/jstars.2018.2810857
|View full text |Cite
|
Sign up to set email alerts
|

Early-Stage Deforestation Detection in the Tropics With L-band SAR

Abstract: Polarimetric characteristics of early-stage deforestation areas were examined with L-band synthetic aperture radar (SAR) to develop a forest early warning system. Time series of PALSAR-2/ScanSAR data and Landsat data were used to examine the differences in detection timing of deforestation in the most active deforestation sites in Peru and Brazil. The γ 0 H H value increased by 0.8 dB on average for areas undergoing early-stages of deforestation, in which felled trees were left on the ground. The detection tim… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
14
0
1

Year Published

2019
2019
2023
2023

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 49 publications
(16 citation statements)
references
References 13 publications
1
14
0
1
Order By: Relevance
“…Isso ocorre porque os detritos de madeira (troncos e galhos) que ficam no solo aumentam os processos de retroespalhamento do radar para valores superiores aos encontrados nas florestas primárias circundantes (ALMEIDA-FILHO et al, 2005). Pesquisa conduzida por Watanabe et al (2018)…”
Section: Monitoramento Florestalunclassified
“…Isso ocorre porque os detritos de madeira (troncos e galhos) que ficam no solo aumentam os processos de retroespalhamento do radar para valores superiores aos encontrados nas florestas primárias circundantes (ALMEIDA-FILHO et al, 2005). Pesquisa conduzida por Watanabe et al (2018)…”
Section: Monitoramento Florestalunclassified
“…One should notice that temporal decorrelation was observed not only over fire-disturbed areas and C-band data. Similar effects were observed for L-band data over areas affected by logging [37]. Therefore, a better understanding of the temporal decorrelation effects and its sources is needed to improve SAR-based burned area mapping algorithms.…”
Section: Introductionmentioning
confidence: 53%
“…This position reinforce the importance of having a monitoring system based on remote sensing images. Such initiatives are already implemented in other Brazilian biomes (Nicolle & Leroy 2017;Watanabe et al, 2018;Warren-Thomas et al, 2018;Reiche et al, 2018;Bouvet et al, 2018;Silva et al, 2018;Grecchi et al, 2017;Carvalho et al, 2017). Thus, based on the scores presented in Figure 3, it could be demonstrated that the categories related to Fauna, Pollution and Others had a number of environmental violations smaller than Flora.…”
Section: /10mentioning
confidence: 87%