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(Article of periodic en Anglais - 2013)

Document title

Assessing land cover and soil quality by remote sensing and geographical information systems (GIS)

Authors(s) and Affiliation(s)

OBADE V.P. (1) ; LAL R. (1) ;
(1) The Ohio State Univ., Carbon Management and Sequestration Center, School of Environment and Natural Resources, Columbus, ETATS-UNIS

Abstract

Precise soil quality assessment is critical for designing sustainable agriculture policies, restoring degraded soils, carbon (C) modeling, and improving environmental quality. Although the consequences of soil quality reduction are generally recognized, the spatial extent of soil degradation is difficult to determine, because no universal equation or soil quality prediction model exists that fits all ecoregions. The availability of new generations of remotely sensed datasets and geographical information system (GIS) models (i.e. GEMS, RothC, and CENTURY) provides new opportunities for predicting soil properties and quality at different spatial scales. This article discusses the current approaches, identifies gaps and proposes improvements in techniques for measuring soil quality within agricultural fields

Source

Article of periodic

published at : Catena / ISSN 0341-8162

Editor : Catena, Cremlingen-Destedt - ALLEMAGNE (1973)

Millesime : 2013, vol. 104 [pp. 77-92]

Bibliographic references : 3 p.

Collation : 3 fig., 7 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 16767

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1016/j.catena.2012.10.014

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2013
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