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(Article of periodic en Anglais - 2013)

Document title

Spatial and temporal dust source variability in northern China identified using advanced remote sensing analysis

Authors(s) and Affiliation(s)

TARAMELLI A. (1) ; PASQUI M. (2) ; BARBOUR J. (3) ; KIRSCHBAUM D. (3) ; BOTTAI L. (2 4) ; BUSILLO C. (2 4) ; CALASTRINI F. (2 4) ; GUARNIERI F. (2 4) ; SMALL C. (3) ;
(1) ISPRA, Inst. for Environmental Research, Rome, ITALIE
(2) Inst. of Biometeorology and National Research Council/IBIMET-CNR, Florence, ITALIE
(3) Lamont Doherty Earth Observatory, Columbia University, New York, ETATS-UNIS
(4) Consortium LaMMa - Lab. for Meteorology and Environmental Modelling, Sesto Fiorentino, ITALIE

Abstract

The aim of this research is to provide a detailed characterization of spatial patterns and temporal trends in the regional and local dust source areas within the desert of the Alashan Prefecture (Inner Mongolia, China). This problem was approached through multi-scale remote sensing analysis of vegetation changes. The representation of intra-annual and inter-annual Normalized Difference Vegetation Index (NDVI) trend to assess land cover discrimination for mapping potential dust source using MODIS and AVHRR at larger scale is enhanced by Landsat Spectral Mixing Analysis (SMA). The combined methodology is to determine the extent to which Landsat can distinguish important soils types in order to better understand how soil reflectance behaves at seasonal and inter-annual timescales. As a final result mapping soil surface properties using SMA is representative of responses of different land and soil cover previously identified by NDVI trend.

Source

Article of periodic

published at : Earth surface processes and landforms / ISSN 0197-9337 / CODEN ESPLDB

Editor : Wiley, Chichester - ROYAUME-UNI (1981)

Millesime : 2013, vol. 38, no8 [pp. 793-809]

Bibliographic references : 3 p.

Collation : 16 fig., 2 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 17355

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1002/esp.3321

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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