Digital Soil Mapping Across Paradigms, Scales and Boundaries (Hardcover, 1st ed. 2016)

This book contains papers presented at the 6th Global Workshop on Digital Soil Mapping, held 11-14 November 2014 at the Institute of Soil Science, Chinese Academy of Sciences of Nanjing, China. Digital soil mapping is advancing on different fronts at different paces throughout the world. The researches and applications on DSM are moving from method development to realizations in different scales and regions, serving the generation of national and continental to global soil grids. Meanwhile, new ideas and insights on mapping complex soil-landscapes such as flat plains,anthropogenically altered agriculture and urban spaces are emerging, with the help of new paradigms and models.The goal of the sixth workshop was to review and discuss the state of the art in digital soil mapping, and to explore strategies for bridging research, production, and environmental applications. This book provides a very useful and comprehensive overview of the status of digital soil mapping, in which graduate students, scientists and specialists working within the field of geography can find the spatial prediction approaches and related theory.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Springer Environmental Science and Engineering
Release date:	February 2016
First published:	2016
Editors:	Gan-Lin Zhang • Dick Brus • Feng Liu • Xiao-Dong Song • Philippe Lagacherie
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	358
Edition:	1st ed. 2016
ISBN-13:	978-981-10-0414-8
Categories:	Books > Professional & Technical > Agriculture & farming > Agricultural science Books > Earth & environment > Earth sciences > Geology & the lithosphere > Soil science, sedimentology Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
LSN:	981-10-0414-5
Barcode:	9789811004148

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