Capabilities of Multispectral Satellite Data in an Assessment of the Status of Abandoned Fire Hazardous and Rewetting Peat Extraction Lands

Медведева, М. В.; Vozbrannaya, Anna; Sirin, Andrey; Маслов, А. А.

doi:10.1134/s0001433817090201

Cited by 9 publications

(10 citation statements)

References 3 publications

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“…Having analyzed the possibilities of multispectral satellite scanners, we concluded that Spot-6 data were insufficient for the status monitoring of abandoned peat extraction sites given the required accuracy due to the lack of an SWIR band [42]. The main problem of data lacking the SWIR band is that the data tend to confuse patches of bare peat and hydrophilic vegetation, which are classes with completely different meanings in the monitoring context [42].…”

Section: Resultsmentioning

confidence: 99%

“…Fragmentation affects the general spectral characteristics of such objects. Therefore, it is reasonable to have satellite data with a spectral resolution higher than 30 m [42]. In our study, the RSD used has the following spatial resolution: Spot-6 6 m, Spot-5 10 m, Sentinel-2 10-20 m, and Landsat-7 and Landsat-8 30 m. The Spot-6 data have the most convenient spatial resolution to solve the above-mentioned problems.…”

Section: Resultsmentioning

confidence: 99%

“…One of them, Band 9, allows for the identification of even the slightest cloud cover. While Landsat-8 opens modern and promising prospects, Landsat-5 helps to carry out retrospective analyses based on using uniform data [42].…”

Section: Discussionmentioning

confidence: 99%

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Assessing the Land and Vegetation Cover of Abandoned Fire Hazardous and Rewetted Peatlands: Comparing Different Multispectral Satellite Data

Sirin

Медведева

Маслов

et al. 2018

Land

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Since the 1990s, many peatlands that were drained for peat extraction and agriculture in Russia have been abandoned with high CO 2 emissions and frequent fires, such as the enormous fires around Moscow in 2010. The fire hazard in these peatlands can be reduced through peatland rewetting and wetland restoration, so monitoring peatland status is essential. However, large expanses, poor accessibility, and fast plant succession pose as challenges for monitoring these areas without satellite images. In this study, a technique involving multispectral satellite data was used to identify six land cover classes that meet the requirements for peatland monitoring using the Meschera National Park as the testing area. This park is the largest area of once-exploited and now rewetted peatlands. However, data from one scanner are often insufficient to successfully implement this technique. In this study, we compared the land cover classifications obtained by using data from Spot-5, Spot-6, Landsat-7, Landsat-8, and Sentinel-2 satellites. The Spot-6 data were insufficient, despite having a higher spatial resolution, due to the lack of a shortwave infrared (SWIR) band. The high classification accuracy attained using data from other sensors enabled their combined use to provide an acceptable accuracy in the final product. The classification results were compared using minimum distance Erdas Imagine and the object-oriented ScanEx Image Processor, and the classification accuracy was similar between satellite images, which facilitates the transition from one method to another without quality loss. The proposed and tested approach can be used to analyze the status of abandoned and rewetted peatlands in other locations for the inventory and prioritization of sites for rewetting and restoration, monitoring status changes, and assessing restoration efficacy. The comparability of the data from different sensors allows for the combination of classified images and creates new possibilities for time series analysis.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Assessing the Land and Vegetation Cover of Abandoned Fire Hazardous and Rewetted Peatlands: Comparing Different Multispectral Satellite Data

Sirin

Медведева

Маслов

et al. 2018

Land

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“…In most cases, water levels are not permanently raised above the peatland surface, but in some cases shallow water bodies are formed. To identify these areas, we used the system of 6 land cover classes previously elaborated using multispectral satellite imagery (using bands of red, nearinfrared and shortwave infrared, Figure 3) and ground data tested at various sites in Moscow and other regions [16,32,[44][45][46]. Two land cover classes were considered as rewetted: 1) "wet grassland" with cattail, sedge, reed, and other wetland species, and 2) "water" (Figure 4).…”

Section: Determination Of the Rewetted Areasmentioning

confidence: 99%

“…The reported areas are probably predominantly milling sites and include all sites that IPCC [10,30,31] attributes to peat extraction, i.e., prepared (increasingly less due to the reduced opening of new deposits), under extraction, and abandoned after partial extraction without reclamation. Abandoned milling fields revegetate with difficultly and may stay bare for years, which makes them easily identifiable from satellite imagery [16,32].…”

Section: Introductionmentioning

confidence: 99%

Addressing Peatland Rewetting in Russian Federation Climate Reporting

Sirin

Медведева

Коротков

et al. 2021

Land

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Rewetting is the most effective way to reduce greenhouse gas (GHG) emissions from drained peatlands and must significantly contribute to the implementation of the Paris Agreement on Climate within the land sector. In 2010–2013, more than 73 thousand hectares of fire-prone peatlands were rewetted in the Moscow Region (the hitherto largest rewetting program in the Northern Hemisphere). As the Russian Federation has no national accounting of rewetted areas yet, this paper presents an approach to detect them based on multispectral satellite data verified by ground truthing. We propose that effectively rewetted areas should minimally include areas with wet grasslands and those covered with water (cf. the IPCC categories “rewetted organic soils” and “flooded lands”). In 2020, these lands amounted in Moscow Region to more than 5.3 and 3.6 thousand hectares, respectively. Assuming that most rewetted areas were former peat extraction sites and using IPCC default GHG emission factors, an overall GHG emission reduction of over 36,000 tCO2-eq year−1 was calculated. We furthermore considered the uncertainty of calculations. With the example of a 1535 ha large rewetted peatland, we illustrate the estimation of GHG emission reductions for the period up to 2050. The approach presented can be used to estimate GHG emission reductions by peatland rewetting on the national, regional, and object level.

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Remote sensing of peatland degradation in temperate and boreal climate zones – A review of the potentials, gaps, and challenges

de Waard,

Connolly,

Barthelmes

et al. 2024

Ecological Indicators

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Capabilities of Multispectral Satellite Data in an Assessment of the Status of Abandoned Fire Hazardous and Rewetting Peat Extraction Lands

Cited by 9 publications

References 3 publications

Assessing the Land and Vegetation Cover of Abandoned Fire Hazardous and Rewetted Peatlands: Comparing Different Multispectral Satellite Data

Assessing the Land and Vegetation Cover of Abandoned Fire Hazardous and Rewetted Peatlands: Comparing Different Multispectral Satellite Data

Addressing Peatland Rewetting in Russian Federation Climate Reporting

Remote sensing of peatland degradation in temperate and boreal climate zones – A review of the potentials, gaps, and challenges

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