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Digital Soil Mapping: Bridging Research, Environmental Application, and Operation 2010 ed. [Pehme köide]

  • Formaat: Paperback / softback, 440 pages, kõrgus x laius: 235x155 mm, kaal: 706 g, 99 Illustrations, color; 49 Illustrations, black and white; XXII, 440 p. 148 illus., 99 illus. in color., 1 Paperback / softback
  • Sari: Progress in Soil Science 2
  • Ilmumisaeg: 05-Sep-2012
  • Kirjastus: Springer
  • ISBN-10: 9400732554
  • ISBN-13: 9789400732551
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  • Formaat: Paperback / softback, 440 pages, kõrgus x laius: 235x155 mm, kaal: 706 g, 99 Illustrations, color; 49 Illustrations, black and white; XXII, 440 p. 148 illus., 99 illus. in color., 1 Paperback / softback
  • Sari: Progress in Soil Science 2
  • Ilmumisaeg: 05-Sep-2012
  • Kirjastus: Springer
  • ISBN-10: 9400732554
  • ISBN-13: 9789400732551
Digital Soil Mapping is the creation and the population of a geographically referenced soil database. It is generated at a given resolution by using field and laboratory observation methods coupled with environmental data through quantitative relationships. Digital soil mapping is advancing on different fronts at different rates all across the world. This book presents the state-of-the art and explores strategies for bridging research, production, and environmental application of digital soil mapping.It includes examples from North America, South America, Europe, Asia, and Australia. The chapters address the following topics: - evaluating and using legacy soil data - exploring new environmental covariates and sampling schemes - using integrated sensors to infer soil properties or status - innovative inference systems predicting soil classes, properties, and estimating their uncertainties - using digital soil mapping and techniques for soil assessment and environmental application - protocol and capacity building for making digital soil mapping operational around the globe.

This book reviews the latest in geographically referenced soil databases, exploring strategies for bridging research, production, and environmental uses of digital soil mapping. Includes examples from North and South America, Europe, Asia, and Australia.

Arvustused

From the reviews:

The book targets digital soil-mapping researchers and practitioners as it presents the most modern and advanced mapping techniques, and examines various approaches to digital soil mapping that span from its research and production to its environmental applications. The chapters are based upon papers of the Third Global Workshop on Digital Soil Mapping (DSM) that took place in Logan, Utah, USA in 2008, and explore this workshops theme, Digital soil mapping: bridging research, production, and environmental application. (Anne Schucknecht, Environmental Earth Sciences, Vol. 62, 2011)

Part I Introduction
1 Current State of Digital Soil Mapping and What Is Next
3(14)
S. Grunwald
Part II Research
Section A Environmental Covariates and Soil Sampling
2 Environmental Covariates for Digital Soil Mapping in the Western USA
17(12)
J.L. Boettinger
3 A Generalized Additive Soil Depth Model for a Mountainous Semi-Arid Watershed Based Upon Topographic and Land Cover Attributes
29(14)
T.K. Tesfa
D.G. Tarboton
D.G. Chandler
J.P. McNamara
4 Applying Geochronology in Predictive Digital Mapping of Soils
43(12)
J.S. Noller
5 Scale Effects on Terrain Attribute Calculation and Their Use as Environmental Covariates for Digital Soil Mapping
55(12)
S.M. Roecker
J.A. Thompson
6 Conditioned Latin Hypercube Sampling: Optimal Sample Size for Digital Soil Mapping of Arid Rangelands in Utah, USA
67(12)
C.W. Brungard
J.L. Boettinger
Section B Soil Sensors and Remote Sensing
7 Using Proximal Soil Sensors for Digital Soil Mapping
79(14)
R.A. Viscarra Rossel
N.J. McKenzie
M.J. Grundy
8 The Use of Hyperspectral Imagery for Digital Soil Mapping in Mediterranean Areas
93(10)
P. Lagacherie
C. Gomez
J.S. Bailly
F. Baret
G. Coulouma
9 Automatic Interpretation of Quickbird Imagery for Digital Soil Mapping, North Caspian Region, Russia
103(10)
M.V. Konyushkova
10 ASTER-Based Vegetation Map to Improve Soil Modeling in Remote Areas
113(10)
E. Meirik
B. Frazier
D. Brown
P. Roberts
R. Rupp
11 Digital Soil Boundary Detection Using Quantitative Hydrologic Remote Sensing
123(14)
E.M. Engle
J.B.J. Harrison
J.M.H. Hendrickx
B. Borchers
Section C Soil Inference Systems
12 Homosoil, a Methodology for Quantitative Extrapolation of Soil Information Across the Globe
137(14)
B.P. Mallavan
B. Minasny
A.B. McBratney
13 Artificial Neural Network and Decision Tree in Predictive Soil Mapping of Hoi Num Rin Sub-Watershed, Thailand
151(14)
R. Moonjun
A. Farshad
D.P. Shrestha
C. Vaiphasa
14 Evaluation of the Transferability of a Knowledge-Based Soil-Landscape Model
165(14)
J. McKay
S. Grunwald
X. Shi
R.F. Long
15 Random Forests Applied as a Soil Spatial Predictive Model in Arid Utah
179(12)
A.K. Stum
J.L. Boettinger
M.A. White
R.D. Ramsey
16 Two Methods for Using Legacy Data in Digital Soil Mapping
191(14)
T. Mayr
M. Rivas-Casado
P. Bellamy
R. Palmer
J. Zawadzka
R. Corstanje
Part III Environmental Application and Assessment
17 Mapping Heavy Metal Content in Soils with Multi-Kernel SVR and LiDAR Derived Data
205(12)
C. Ballabio
R. Comolli
18 Mapping the CN Ratio of the Forest Litters in Europe-Lessons for Global Digital Soil Mapping
217(10)
F. Carre
N. Jeannee
S. Casalegno
O. Lemarchand
H.I. Reuter
L. Montanarejla
19 Spatial Prediction and Uncertainty Assessment of Soil Organic Carbon in Hebei Province, China
227(14)
Y.C. Zhao
X.Z. Shi
20 Estimating Soil Organic Matter Content by Regression Kriging
241(14)
A. Marchetti
C. Piccini
R. Francaviglia
S. Santucci
I. Chiuchiarelli
21 Digital Soil Mapping of Topsoil Organic Carbon Content of Rio de Janeiro State, Brazil
255(12)
M.L. Mendonca-Santos
R.O. Dart
H.G. Santos
M.R. Coelho
R.L.L. Berbara
J.F. Lumbreras
22 Comparing Decision Tree Modeling and Indicator Kriging for Mapping the Extent of Organic Soils in Denmark
267(14)
M.H. Greve
M.B. Greve
R. Bou Kheir
P.K. Bøcher
R. Larsen
K. McCloy
23 Modeling Wind Erosion Events - Bridging the Gap Between Digital Soil Mapping and Digital Soil Risk Assessment
281(16)
H.I. Reuter
L. Rodriguez Lado
T. Hengl
L. Montanarella
Part IV Making Digital Soil Mapping Operational
24 Soilscapes Basis for Digital Soil Mapping in New Zealand
297(12)
A.E. Hewitt
J.R.F. Barringer
G.J. Forrester
S.J. McNeill
25 Legacy Soil Data Harmonization and Database Development
309(16)
E. Dobos
T. Bialko
E. Micheli
J. Kobza
26 Toward Digital Soil Mapping in Canada: Existing Soil Survey Data and Related Expert Knowledge
325(12)
X. Geng
W. Fraser
B. Vanden Bygaart
S. Smith
A. Waddell
Y. Jiao
G. Patterson
27 Predictive Ecosystem Mapping (PEM) for 8.2 Million ha of Forestland, British Columbia, Canada
337(20)
R.A. MacMillan
D.E. Moon
R.A. Coupe
N. Phillips
28 Building Digital Soil Mapping Capacity in the Natural Resources Conservation Service: Mojave Desert Operational Initiative
357(12)
A.C. Moore
D.W. Howell
C. Haydu-Houdeshell
C. Blinn
J. Hempel
D. Smith
29 A Qualitative Comparison of Conventional Soil Survey and Digital Soil Mapping Approaches
369(16)
S.M. Roecker
D.W. Howell
C.A. Haydu-Houdeshell
C. Blinn
30 Applying the Optimum Index Factor to Multiple Data Types in Soil Survey
385(14)
S. Kienast-Brown
J.L. Boettinger
31 U.S. Department of Agriculture (USDA) TEUI Geospatial Toolkit: An Operational Ecosystem Inventory Application
399(12)
H. Fisk
R. Benton
C. Unger
T. King
S. Williamson
32 Predictive Soil Maps Based on Geomorphic Mapping, Remote Sensing, and Soil Databases in the Desert Southwest
411(12)
S.N. Bacon
E.V. McDonald
G.K. Dalldorf
S.E. Baker
D.E. Sabol Jr.
T.B. Minor
S.D. Bassett
S.R. MacCabe
T.F. Bullard
33 GlobalSoilMap.net - A New Digital Soil Map of the World
423(6)
A.E. Hartemink
J. Hempel
P. Lagacherie
A. McBratney
N. McKenzie
R.A. MacMillan
B. Minasny
L. Montanarella
M. Mendonca Santos
P. Sanchez
M. Walsh
G.L. Zhang
34 Methodologies for Global Soil Mapping
429(8)
B. Minasny
A.B. McBratney
Index 437