An Approach for Mapping Frozen Soil of Agricultural Land under Snow Cover using RADARSAT-1 and RADARSAT-2

Khaldoune, Jalal; Bochove, Éric van; Bernier, Monique; Nolin, Michel C.

doi:10.1109/igarss.2008.4779363

Cited by 6 publications

(6 citation statements)

References 5 publications

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“…Concerning SAR polarimetry, first experimental studies have been undertaken to understand polarimetric SAR scattering signatures of (snow covered) soils for mapping freeze/thaw states of the soil [14,15]. Khaldoune et al could allocate volume-type scattering mechanisms to thawed soil conditions, while surface-like scattering could be assigned to frozen soil conditions using airborne C-band data over the Bras d'Henri watershed, Canada [15]. Additional investigations proposed dual frequency, fully polarimeric SAR data, using PALSAR L-band [16] and RADARSAT-2 C-band [17] data, to investigate frozen and thawed soil conditions.…”

Section: Introductionmentioning

confidence: 99%

Identification of Soil Freezing and Thawing States Using SAR Polarimetry at C-Band

et al. 2014

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Abstract:The monitoring of soil freezing and thawing states over large areas is very challenging on ground. In order to investigate the potential and the limitations of space-borne SAR polarimetry at C-band for soil state survey, analyses were conducted on an entire winter time series of fully polarimetric RADARSAT-2 data from 2011/2012 to identify freezing as well as thawing states within the soil. The polarimetric data were acquired over the Sodankylä test site in Finland together with in situ measurements of the soil and the snow cover. The analyses indicate clearly that the dynamics of the polarimetric entropy and mean scattering alpha angle are directly correlated to soil freezing and thawing states, even under distinct dry snow cover. First modeling attempts using the Extended Bragg soil scattering model justify the observed trends, which indicate surface-like scattering during frozen soil conditions and multiple/volume scattering for thawed soils. Hence, these first investigations at C-band foster motivation to work towards a robust polarimetric detection of soil freezing and thawing states as well as their transition phase.

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Section: Introductionmentioning

confidence: 99%

Identification of Soil Freezing and Thawing States Using SAR Polarimetry at C-Band

et al. 2014

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“…The method of identification of thawed/ frozen soil state is based on a 3-5 dB drop in during the transition to the state [1,2].…”

Section: Determination Of Frozen/ Thawed Soil State From S1 Radar Datamentioning

confidence: 99%

“…According to the equation (1) it turns out that the intersection of the value SSF = 0 occurs for the same value, but for different times t, i.e. the value σ 0 is the same for both the freezing point and the thawing point of the 5-cm topsoil layer.…”

Section: Determination Of Frozen/ Thawed Soil State From S1 Radar Datamentioning

confidence: 99%

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Backscattering From the Near-Surface Layer of Thawed/Frozen Soils of Alaska From Sentinel 1 Radar Data

Родионова¹

2019

RENSIT

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This paper considers the question of determining frozen/unfrozen status of 5 cm topsoil layer for seven ground stations in Alaska with latitude from 65° to 70° N by using radar Sentinel 1 C-band data for the period 2016-2017. Determine the status of frozen soil was carried out by two ways: using only radar data with finding the backscatter coefficient threshold, when the temperature in the upper soil layer falls below 0°C, and by using both radar data and ground-based measurements of soil temperature. In the latter case, the correlation between the backscattering coefficient and the soil temperature measured at 5 cm below the soil surface was calculated. Regression models were developed and radar backscatter thresholds for frozen soil were found. Local frozen/unfrozen soil maps were created. The comparison of threshold values obtained by two ways showed their closeness, which tends to decrease with decreasing correlation between radar and ground data. Linear regression between radar backscatter threshold and the area latitude have been received.

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“…Before, the temperature dependence of the backscattering coefficient, measured by Sentinel-1 and Radarsat, for mineral soils of moderate latitudes was studied in [7], [8] and for Arctic region [9]; for the Arctic region, studies like that were not performed in L-band.…”

Section: Introductionmentioning

confidence: 99%

Temperature dependence of the backscattering coefficient measured by ALOS PALSAR during cooling and heating of tundra topsoil.

Muzalevskiy¹

2019

JRE

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In this paper, dependences of backscattering coefficient on Arctic tundra soil temperature were investigated. The backscattering coefficient was measured by ALOS PALSAR (1.3GHz) over areas near to Imnaviat weather station in the North Slope of Alaska in the period from . It has been experimentally and theoretically shown that there is a strong correlation relationship no worse than 0.76 between the surface soil temperature measured by weather stations and backscattering coefficient. The variations of the backscattering coefficient was found to be about 5-6 dB over the test site when soil surface temperature changes from -10С to 10С. This study contributes to further understanding the processes of scattering of frozen Arctic soils that is pertinent to developing new remote sensing algorithms for the permafrost region.

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An Approach for Mapping Frozen Soil of Agricultural Land under Snow Cover using RADARSAT-1 and RADARSAT-2

Cited by 6 publications

References 5 publications

Identification of Soil Freezing and Thawing States Using SAR Polarimetry at C-Band

Identification of Soil Freezing and Thawing States Using SAR Polarimetry at C-Band

Backscattering From the Near-Surface Layer of Thawed/Frozen Soils of Alaska From Sentinel 1 Radar Data

Temperature dependence of the backscattering coefficient measured by ALOS PALSAR during cooling and heating of tundra topsoil.

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