Surface soil moisture deficit assessment based on satellite data

Pidgorodetska, L. V.; Zyelyk, Ya. I.; Kolos, Ludmila N.; Fedorov, O. P.

doi:10.3997/2214-4609.20215521114

Cited by 2 publications

(2 citation statements)

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“…It is proposed to use a moisture deficit in the soil to improve the FWI methodology. This is specifically the SMD (Soil Moisture Deficit) [16] parameter, which depends on soil type and can be determined from remote data in the microwave range. Involvement of SMD to the established set of parameters of the FWI system (schematically represented in Figure 1) resolves 2 problems.…”

Section: Methodology For Modifying the Fire Danger Index Fwimentioning

confidence: 99%

Fire Danger Assessment Using Moderate-Spatial Resolution Satellite Data

Kussul

Fedorov

Yailymov

et al. 2023

Fire

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Fire is one of the most common disturbances in natural ecosystems. The analysis of various sources of information (official and unofficial) about the fires in Ukraine (2019–2020) showed a lack of timely and reliable information. Satellite observation is of crucial importance to provide accurate, reliable, and timely information. This paper aims to modify the index of fire danger of a forest’s FWI by increasing its precision, based on the use of higher spatial resolution satellite data. A modification of the FWI method involves the utilization of the soil moisture deficit, in addition to the six subindices of the FWI system. In order to calculate the subindices values, weather data from the Copernicus Atmosphere Monitoring Service were used. Soil moisture deficit is calculated using Sentinel-1 radar satellite data on the water saturation degree of the soil surface layer and geospatial parameters from the 3D Soil Hydraulic Database of Europe. The application of the proposed methodology using the specified satellite, weather, and geospatial data makes it possible to assess fire danger on a continental scale with a spatial resolution of 250 m, 1 km, and a daily temporal resolution. Validation of the proposed method for modifying the FWI system demonstrates an improvement in the precision and relevance of fire danger prediction.

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Section: Methodology For Modifying the Fire Danger Index Fwimentioning

confidence: 99%

Fire Danger Assessment Using Moderate-Spatial Resolution Satellite Data

Kussul

Fedorov

Yailymov

et al. 2023

Fire

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show abstract

“…The idea behind the improvement of the methodology for determining the FWI index is to involve in the formation of a generalized index of fire danger, a factor of soil moisture deficiency. Specifically, it is the Soil Moisture Deficit (SMD) parameter [13], which depends on the soil type, and can be determined using remote sensing data in the microwave range. The usage of SMD in the extended set of parameters for FWI retrieval is shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

Fire Danger Assessment Based on the Improved Fire Weather Index

Kussul

Yailymov

Shelestov

et al. 2022

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

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This paper analyzes the problem of fire danger assessment and identifies the necessary sources and characteristics of satellite, ground and statistical data for the new approach of fire danger assessment. Modern information systems for fire danger assessment and fire monitoring using satellite and weather data are considered. The fire danger assessment method has been adapted for all types of land cover in Ukraine, which previously was successfully used in the Canadian methodology for determining the Fire Weather Index (FWI).

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Surface soil moisture deficit assessment based on satellite data

Cited by 2 publications

References 0 publications

Fire Danger Assessment Using Moderate-Spatial Resolution Satellite Data

Fire Danger Assessment Using Moderate-Spatial Resolution Satellite Data

Fire Danger Assessment Based on the Improved Fire Weather Index

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