Monitoring of environmental conditions in Taiga forests using ERS-1 SAR

Rignot, Eric; Way, J.; McDonald, K. C.; Viereck, Leslie A.; Williams, C.; Adams, Phyllis; Payne, C.; Wood, William R.; Shi, Jiancheng

doi:10.1016/0034-4257(94)90051-5

Cited by 77 publications

(48 citation statements)

References 16 publications

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“…This surface scattering model for bare soils was developed in [28] and accounts for changes in soil moisture/dielectric constant ε' mf and in soil roughness by a depolarization angle δ [20]: (8) This scattering model [T XB ] for rough surfaces consists of a surface scattering intensity f S and a surface scattering mechanism β. Both components are modeled by means of the Bragg scattering coefficients (R H , R V ), which are function of ε' mf and the local incidence angle θ [20]: ,…”

Section: Modeling Of Soil Surface Scattering From Frozen and Thawed Smentioning

confidence: 99%

“…Investigations on soil states and its transitions started with the availability of ERS-1 C-band images in the early Nineties [7,8] and continued with the ENVISAT-mission [9], where the temporal behavior of single-polarization backscattering intensities were analyzed with respect to soil state changes [10]. Rignot et al discovered a 3dB decrease in early winter, when the soil and vegetation freezes [5,8].…”

Section: Introductionmentioning

confidence: 99%

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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: Modeling Of Soil Surface Scattering From Frozen and Thawed Smentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2014

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“…In addition to the ECMWF reanalysis data, snowmelt timing information can be obtained from the diurnal changes of QuikScat time-series data [7,8]. The start and end dates of the snowmelt period of the study area derived from the QuikScat data are also illustrated in Figure 1b.…”

Section: Study Area and Datamentioning

confidence: 99%

“…Studies of seasonal variations of C-band radar signals with ERS and ENVISAT SAR data [1][2][3][4][5][6][7][8][9] showed a decrease in the backscattering coefficient of about 3 dB during the transition of trees from a thawed to a frozen state almost independently of tree species. A greater decrease in backscattering coefficients can be observed when tundra areas froze than when forested areas froze [1,3].…”

Section: Introductionmentioning

confidence: 99%

“…Radar remote sensing, including synthetic aperture radar (SAR), has great potential to provide spatially-distributed information on permafrost ecosystem dynamics with its ability to penetrate cloud and independence from solar illumination. A number of studies using the space-borne radar measurements have been conducted to extract information regarding the freeze/thaw cycle [1][2][3][4][5][6][7], taiga forests [8][9][10][11][12][13][14], wetlands [15][16][17] and geological features [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

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Variations of Microwave Scattering Properties by Seasonal Freeze/Thaw Transition in the Permafrost Active Layer Observed by ALOS PALSAR Polarimetric Data

Park

2015

Remote Sensing

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Radar backscattering properties can be extremely sensitive to the freeze/thaw states of the ground surface. This study aims to evaluate the changes of L-band microwave scattering characteristics between thawed and frozen conditions by using polarimetric scattering mechanism indicators. ALOS PALSAR polarimetric mode data acquired in winter and spring seasons over Eastern Siberia are used in this study. Experimental results show that the actual scattering mechanisms and their seasonal variations over various forested and non-forested permafrost ecosystems can be successfully characterized by the polarimetric target decomposition parameters and the polarimetric coherences. In addition, fully polarimetric radar observations exhibit great potential for mapping land cover types and surficial features in the permafrost active layer. Particularly, the co-polarization coherences on the HV-polarization basis and circular-polarization basis were found to be very useful for discriminating different surficial geocryological characteristics in recently burnt forests and thermokarst regions.

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Estimation of Surface Freeze–Thaw States Using Microwave Sensors

McDonald

Kimball

2005

Encyclopedia of Hydrological Sciences

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The transition of the landscape between predominantly frozen and nonfrozen conditions in seasonally frozen environments impacts climate, hydrological, ecological, and biogeochemical processes profoundly. Satellite microwave remote sensing is uniquely capable of detecting and monitoring a range of related biophysical processes associated with the measurement of landscape freeze/thaw status. This chapter provides an overview of the development, physical basis, current techniques, and selected hydrological applications of satellite-borne microwave remote sensing of landscape freeze/thaw states for the terrestrial cryosphere. Major landscape hydrological processes embracing the remotely sensed freeze/thaw signal include timing and spatial dynamics of seasonal snowmelt and associated soil thaw, runoff generation, and flooding, ice breakup in large rivers and lakes, and timing and length of vegetation growing seasons and associated productivity and trace gas exchange. This chapter also summarizes the physical principles of microwave sensitivity to landscape freeze/thaw state, recent progress in applying these principles towards satellite remote sensing of freeze/thaw processes over broad regions, and potential for future global monitoring of this significant phenomenon of the global cryosphere.

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Monitoring of environmental conditions in Taiga forests using ERS-1 SAR

Cited by 77 publications

References 16 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

Variations of Microwave Scattering Properties by Seasonal Freeze/Thaw Transition in the Permafrost Active Layer Observed by ALOS PALSAR Polarimetric Data

Estimation of Surface Freeze–Thaw States Using Microwave Sensors

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