Détection du gel et non-gel du sol en utilisant le radar polarimétrique à synthèse d’ouverture

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

doi:10.5589/m08-031

Cited by 1 publication

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Remote sensing offers promising techniques for monitoring near-surface frozen and unfrozen soil status on broad geographical scales [10]. In the past, passive microwave remote sensing was explored.…”

Section: Introductionmentioning

confidence: 99%

Mapping Agricultural Frozen Soil on the Watershed Scale Using Remote Sensing Data

Khaldoune

Bochove

Bernier

et al. 2011

Applied and Environmental Soil Science

Self Cite

View full text Add to dashboard Cite

This paper presents an empirical model for classifying frozen/unfrozen soils in the entire Bras d'Henri River watershed (167 km 2 ) near Quebec City (Quebec, Canada). It was developed to produce frozen soil maps under snow cover using RADARSAT-1 fine mode images and in situ data during three winters. Twelve RADARSAT-1 images were analyzed from fall 2003 to spring 2006 to discern the intra-and interannual variability of frozen soil characteristics. Regression models were developed for each soil group (parent material-drainage-soil type) and land cover to establish a threshold for frozen soil from the backscattering coefficients (HH polarization). Tilled fields showed higher backscattering signal (+3 dB) than the untilled fields. The overall classification accuracy was 87% for frozen soils and 94% for unfrozen soils. With respect to land use, that is, tilled versus untilled fields, an overall accuracy of 89% was obtained for the tilled fields and 92% for the untilled fields. Results show that this new mapping approach using RADARSAT-1 images can provide estimates of surface soil status (frozen/unfrozen) at the watershed scale in agricultural areas.

show abstract

Section: Introductionmentioning

confidence: 99%