2018
DOI: 10.3390/rs10050777
|View full text |Cite
|
Sign up to set email alerts
|

Characterizing Tropical Forest Cover Loss Using Dense Sentinel-1 Data and Active Fire Alerts

Abstract: Fire use for land management is widespread in natural tropical and plantation forests, causing major environmental and economic damage. Recent studies combining active fire alerts with annual forest-cover loss information identified fire-related forest-cover loss areas well, but do not provide detailed understanding on how fires and forest-cover loss are temporally related. Here, we combine Sentinel-1-based, near real-time forest cover information with Visible Infrared Imaging Radiometer Suite (VIIRS) active f… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
40
1
1

Year Published

2019
2019
2023
2023

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 48 publications
(45 citation statements)
references
References 53 publications
3
40
1
1
Order By: Relevance
“…Across Indonesia, 25% of forest loss in oil palm concessions experienced coincident fire the same year or one year before forest loss [30]. In Riau, active fires were found to occur on average 58 ± 10 days before loss of natural forest [31], further confirming the very tight association between fire and forest loss. In Riau, fire frequency was a factor of 6 greater in regions that experienced forest canopy loss, compared to regions with no loss [16].…”
Section: Discussionmentioning
confidence: 70%
“…Across Indonesia, 25% of forest loss in oil palm concessions experienced coincident fire the same year or one year before forest loss [30]. In Riau, active fires were found to occur on average 58 ± 10 days before loss of natural forest [31], further confirming the very tight association between fire and forest loss. In Riau, fire frequency was a factor of 6 greater in regions that experienced forest canopy loss, compared to regions with no loss [16].…”
Section: Discussionmentioning
confidence: 70%
“…The temporal resolution of Sentinel-1 could even allow to consider other statistical parameters, for example different percentiles and the temporal distribution of SAR signatures. Such dense time series are of course also better suited to clearly detect and confirm changes with time series analysis tools such as the Bfast algorithm [19,48]. A more specific study of the backscatter time series and seasonality could also be of particular interest in regard to forest ecology or physiology but is beyond the scope of this paper.…”
Section: Inter-comparison Between Single and Multi-frequency Sar Resultsmentioning
confidence: 99%
“…Therefore, not all fires (e.g., some small fires) were detected. The use of high-resolution observations may improve the accuracy of national-scale burned area in future studies (Reiche et al 2018). In addition, most grid cells showed no strong correlation between forest loss and burned area.…”
Section: Discussionmentioning
confidence: 96%