Javascript must be enabled to continue!
Spring fires in Russia: results from participatory burned area mapping with Sentinel-2 imagery
View through CrossRef
Abstract
Human-induced fires play a crucial role in transforming landscapes and contributing to greenhouse gas emissions. Russia is a country where human-induced fires are widespread and form distinctive spring and summer burning cycles. However, spring fires are not well documented and it is unclear which land-cover types are associated with the spread of spring fires. Using Sentinel-2 optical satellite imagery, a wall-to-wall spring burned area data set for 1 January to 15 May 2020 was created for Russia (excluding the Arctic) using a participatory crowdsourcing digitizing approach on an online platform developed specifically for this application. The 2020 spring fire product had a producer accuracy of 85% and user accuracy of 92%. Approximately 13.38 million ha, comprising 1.8% of the study area, were mapped as burned, with the majority of the 2020 spring burned areas in Siberia. Our spring-fire product revealed five times more burned area estimates compared to the burned area estimates from the moderate resolution imaging spectroradiometer (MODIS) MCD64 product. We also found high variability of burned area per active fire pixel across regions of Russia, when compared to MODIS and visible infrared imaging radiometer suite active fire data. Spring fires started to increase from the end of February and reached their maximum by the end of March through the middle of April. Spring fires were associated with arable lands and grasslands as land-cover types, except Siberia, where spring fires were most common in deciduous and needle-leaved forests, followed by arable lands. While spring fires were associated with croplands and grasslands, an estimate for Central Russia showed approximately 75% of spring fires occurred on abandoned agricultural lands. Our study demonstrated the suitability of optical Sentinel-2 imagery for spring fire mapping and the great utility of a participatory mapping approach for fast and accurate mapping as well as engagement of the community.
Title: Spring fires in Russia: results from participatory burned area mapping with Sentinel-2 imagery
Description:
Abstract
Human-induced fires play a crucial role in transforming landscapes and contributing to greenhouse gas emissions.
Russia is a country where human-induced fires are widespread and form distinctive spring and summer burning cycles.
However, spring fires are not well documented and it is unclear which land-cover types are associated with the spread of spring fires.
Using Sentinel-2 optical satellite imagery, a wall-to-wall spring burned area data set for 1 January to 15 May 2020 was created for Russia (excluding the Arctic) using a participatory crowdsourcing digitizing approach on an online platform developed specifically for this application.
The 2020 spring fire product had a producer accuracy of 85% and user accuracy of 92%.
Approximately 13.
38 million ha, comprising 1.
8% of the study area, were mapped as burned, with the majority of the 2020 spring burned areas in Siberia.
Our spring-fire product revealed five times more burned area estimates compared to the burned area estimates from the moderate resolution imaging spectroradiometer (MODIS) MCD64 product.
We also found high variability of burned area per active fire pixel across regions of Russia, when compared to MODIS and visible infrared imaging radiometer suite active fire data.
Spring fires started to increase from the end of February and reached their maximum by the end of March through the middle of April.
Spring fires were associated with arable lands and grasslands as land-cover types, except Siberia, where spring fires were most common in deciduous and needle-leaved forests, followed by arable lands.
While spring fires were associated with croplands and grasslands, an estimate for Central Russia showed approximately 75% of spring fires occurred on abandoned agricultural lands.
Our study demonstrated the suitability of optical Sentinel-2 imagery for spring fire mapping and the great utility of a participatory mapping approach for fast and accurate mapping as well as engagement of the community.
Related Results
Fires in ecosystems and influence on the atmosphere
Fires in ecosystems and influence on the atmosphere
Introduction. Fires in ecosystems, mostly after open burning, affect Ukrainian territory each year causing flora and fauna damage, soil degradation, pollutants emission, which impa...
IMAGERY IN JULIANNE MACLEAN’S THE COLOR OF HEAVEN
IMAGERY IN JULIANNE MACLEAN’S THE COLOR OF HEAVEN
Imagery is a mental picture imagined by a reader. This research discusses imagery that existed in Julianne MacLean's novel The Color of Heaven. The Color of Heaven is a novel that ...
Citraan Dalam Buku Puisi Tantrum Karya Adhan Akram
Citraan Dalam Buku Puisi Tantrum Karya Adhan Akram
The purpose of this research is to describe the visual imagery, auditory imagery, tactile imagery, olfactory imagery, gustatory imagery, and kinetic imagery found in the poetry boo...
Multi-Resolution Ocean Color roducts to support the Copernicus Marine High-Resolution Coastal Service 
Multi-Resolution Ocean Color roducts to support the Copernicus Marine High-Resolution Coastal Service 
High-quality satellite-based ocean colour products can provide valuable support and insights in the management and monitoring of coastal ecosystems. Today’s availability ...
Comparison of PlanetScope and Sentinel-2 satellite observations in mapping small-scale forest fires
Comparison of PlanetScope and Sentinel-2 satellite observations in mapping small-scale forest fires
This study evaluates the performance of multispectral optical sensors onboard PlanetScope (PS) and Sentinel-2 satellites in mapping burned areas resulting from a small forest fire ...
Assessment of landscape fires in 2020 in Russia
Assessment of landscape fires in 2020 in Russia
Landscape fires are one of the main factors of anthropogenic vegetation and soil transformation, as well as anthropogenic climate change. Despite this, until now there have been no...
Complementarity of Sentinel-1 and Sentinel-2 Data for Soil Salinity Monitoring to Support Sustainable Agriculture Practices in the Central Bolivian Altiplano
Complementarity of Sentinel-1 and Sentinel-2 Data for Soil Salinity Monitoring to Support Sustainable Agriculture Practices in the Central Bolivian Altiplano
Soil salinization will affect 50% of global cropland areas by 2050 and represents a major threat to agricultural production and food sovereignty. As soil salinity monitoring is cos...
Analisis Citraan Pada Terjemahan Novel Al-Fatá al-ladhi Absara Lawnu al-Hawa: Tinjauan Stilistika
Analisis Citraan Pada Terjemahan Novel Al-Fatá al-ladhi Absara Lawnu al-Hawa: Tinjauan Stilistika
The research examines the issue of imagery in the translation of the novel "Al-Fatá al-ladhi Absara Lawnu al-Hawa." The objective of this study is to describe the various forms of ...

