LaamraniValeriaChengEtAl2013

Référence

Laamrani, A., Valeria, O., Cheng, L.Z., Bergeron, Y., Camerlynck, C. (2013) The use of ground penetrating radar for remote sensing the organic layer - Mineral soil interface in paludified boreal forests. Canadian Journal of Remote Sensing, 39(1):74-88. (Scopus )

Résumé

Black spruce forests that are located in the Clay Belt, within the boreal region of eastern North America, are prone to paludification. Paludification is a natural process where organic layer accumulates on the forest floor, leading to substantial decreases in forest productivity. This study assessed the ability of using ground penetrating radar (GPR) to remotely sense the organic layer - mineral soil (OL-MS) interface (representing organic layer thickness (OLT)), which has a major influence on the occurrence of paludification in this region. The two chosen sites for this study represented different types of soil and organic layer thicknesses that are linked to different degrees of paludification: low to moderately paludified (site A) and highly paludified (site B). At each site, GPR measurements were collected along three 40 m parallel transects at 20 cm intervals with 200 MHz antenna. GPR interpretations were compared with field manual probing measurements. Detection of this continuous interface was successful at site A (r = 0.93, P < 0.001), but mesic and humic horizon clay content limited radar depth penetration, rendering the OL-MS undetectable at site B. However, we found that GPR data, coupled with ground truth information, were effective in mapping the thickness of the organic fibric horizon (r =0.79, P < 0.001) at site B, which could be considered as an indicator of the OLT in highly paludified areas. Overall, GPR appeared effective for mapping the OL-MS interface in the low to moderately paludified site, which is attractive for implementing forest management strategies that will help to stop the advance of paludification. © 2013 CASI.

Format EndNote

Vous pouvez importer cette référence dans EndNote.

Format BibTeX-CSV

Vous pouvez importer cette référence en format BibTeX-CSV.

Format BibTeX

Vous pouvez copier l'entrée BibTeX de cette référence ci-bas, ou l'importer directement dans un logiciel tel que JabRef .

@ARTICLE { LaamraniValeriaChengEtAl2013,
    AUTHOR = { Laamrani, A. and Valeria, O. and Cheng, L.Z. and Bergeron, Y. and Camerlynck, C. },
    TITLE = { The use of ground penetrating radar for remote sensing the organic layer - Mineral soil interface in paludified boreal forests },
    JOURNAL = { Canadian Journal of Remote Sensing },
    YEAR = { 2013 },
    VOLUME = { 39 },
    PAGES = { 74-88 },
    NUMBER = { 1 },
    ABSTRACT = { Black spruce forests that are located in the Clay Belt, within the boreal region of eastern North America, are prone to paludification. Paludification is a natural process where organic layer accumulates on the forest floor, leading to substantial decreases in forest productivity. This study assessed the ability of using ground penetrating radar (GPR) to remotely sense the organic layer - mineral soil (OL-MS) interface (representing organic layer thickness (OLT)), which has a major influence on the occurrence of paludification in this region. The two chosen sites for this study represented different types of soil and organic layer thicknesses that are linked to different degrees of paludification: low to moderately paludified (site A) and highly paludified (site B). At each site, GPR measurements were collected along three 40 m parallel transects at 20 cm intervals with 200 MHz antenna. GPR interpretations were compared with field manual probing measurements. Detection of this continuous interface was successful at site A (r = 0.93, P < 0.001), but mesic and humic horizon clay content limited radar depth penetration, rendering the OL-MS undetectable at site B. However, we found that GPR data, coupled with ground truth information, were effective in mapping the thickness of the organic fibric horizon (r =0.79, P < 0.001) at site B, which could be considered as an indicator of the OLT in highly paludified areas. Overall, GPR appeared effective for mapping the OL-MS interface in the low to moderately paludified site, which is attractive for implementing forest management strategies that will help to stop the advance of paludification. © 2013 CASI. },
    COMMENT = { Export Date: 2 July 2013 Source: Scopus CODEN: CJRSD },
    ISSN = { 07038992 (ISSN) },
    KEYWORDS = { Black spruce forests, Depth penetration, Eastern north america, Forest productivity, Ground Penetrating Radar, Ground penetrating radar (GPR), Management strategies, Natural process, Geological surveys, Ground penetrating radar systems, Soils, Forestry, Forestry, Geology, Radar, Soil, Surveys },
    OWNER = { Luc },
    TIMESTAMP = { 2013.07.02 },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-84878052635&partnerID=40&md5=56c6de37e1b2df025a45e5ee48776f4c },
}

********************************************************** *************************** FRQNT ************************ **********************************************************

Un regroupement stratégique du

********************************************************** ***************** Facebook Twitter *********************** **********************************************************

Abonnez-vous à
l'Infolettre du CEF!

********************************************************** ***************** Pub - ABC CBA 2020 ****************** **********************************************************

31 mai au 4 juin 2020

********************************************************** ***************** Pub - Symphonies_Boreales ****************** **********************************************************

********************************************************** ***************** Boîte à trucs *************** **********************************************************

CEF-Référence
La référence vedette !

Jérémie Alluard (2016) Les statistiques au moments de la rédaction 

  • Ce document a pour but de guider les étudiants à intégrer de manière appropriée une analyse statistique dans leur rapport de recherche.

Voir les autres...