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Digital Soil Assessments and Beyond: Proceedings of the 5th Global Workshop on Digital Soil Mapping 2012, Sydney, Australia PDF

482 Pages·2012·9.49 MB·English
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Preview Digital Soil Assessments and Beyond: Proceedings of the 5th Global Workshop on Digital Soil Mapping 2012, Sydney, Australia

Editors Minasny Malone McBratney a D Digital soil assessments and beyond contains papers presented at the n i 5th Global Workshop on Digital Soil Mapping, held 10-13 April 2012 at d g the University of Sydney, Australia. The contributions demonstrate the i latest developments in digital soil mapping as a discipline with a special B t a focus on the use of map products to drive policy decisions particularly e l on climate change and food, water and soil security. The workshop and y S now this resulting publication have bett er united formerly disparate sub- o disciplines in soil science: pedology (study of the formation, distribution o n and potential use of soils) and pedometrics (quantitative and statistical i d l analysis of soil variation in space and time). This book compiles papers A covering a range of topics: digital soil assessment, digital soil modelling, operational soil mapping, soil and environmental covariates, soil s sampling and monitoring and soil information modelling, artifi cial s intelligence and cyber-infrastructure, and GlobalSoilMap. Digital soil e assessments and beyond aims to encourage new mapping incentives s and stimulate new ideas to make digital soil mapping practicable from s local to national and ultimately global scales. m e n Digital Soil Assessments t s and Beyond Editors: Budiman Minasny, Brendan P. Malone & Alex B. McBratney an informa business DIGITAL SOIL ASSESSMENTS AND BEYOND MMIINNAASSNNYY..iinnddbb ii 88//2244//22001122 99::3388::1199 AAMM TThhiiss ppaaggee iinntteennttiioonnaallllyy lleefftt bbllaannkk PROCEEDINGS OF THE FIFTH GLOBAL WORKSHOP ON DIGITAL SOIL MAPPING, SYDNEY, AUSTRALIA, 10–13 APRIL 2012 Digital Soil Assessments and Beyond Editors Budiman Minasny, Brendan P. Malone & Alex B. McBratney Faculty of Agriculture and Environment, The University of Sydney, Australia MMIINNAASSNNYY..iinnddbb iiiiii 88//2244//22001122 99::3388::2211 AAMM CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742 © 2012 by Taylor & Francis Group, LLC CRC Press is an imprint of Taylor & Francis Group, an Informa business No claim to original U.S. Government works Version Date: 20120831 International Standard Book Number-13: 978-0-203-10610-5 (eBook - PDF) This book contains information obtained from authentic and highly regarded sources. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the valid- ity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint. Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or uti- lized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopy- ing, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers. For permission to photocopy or use material electronically from this work, please access www.copyright.com (http:// www.copyright.com/) or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. CCC is a not-for-profit organization that provides licenses and registration for a variety of users. For organizations that have been granted a photocopy license by the CCC, a separate system of payment has been arranged. Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe. Visit the Taylor & Francis Web site at http://www.taylorandfrancis.com and the CRC Press Web site at http://www.crcpress.com Digital Soil Assessments and Beyond – Minasny, Malone & McBratney (eds) © 2012 Taylor & Francis Group, London, ISBN 978-0-415-62155-7 Table of contents Foreword xi Preface xiii Sponsors xv Digital soil assessments Digital soil assessment: Guiding irrigation expansion in Tasmania, Australia 3 D.B. Kidd, M.A. Webb, C.J. Grose, R.M. Moreton, B.P. Malone, A.B. McBratney, B. Minasny, R.A. Viscarra-Rossel, W.E. Cotching, L.A. Sparrow & R. Smith Frameworks for digital soil assessment 9 A.B. McBratney, B. Minasny, I. Wheeler, B.P. Malone & D. van der Linden Soil natural capital definition using land evaluation principles 15 A.E. Hewitt, T. Webb, E. Dominati & C. Hedley Spatial modeling of human exposure to soil contamination—an example of digital soil assessment 19 J. Caudeville, P. Goovaerts, F. Carré, R. Bonnard, D. Arrouays, A. Cicolella, C.C. Jolivet, N.P.A. Saby & C. Boudet A pedometric approach to valuing the soil resource 25 D.G. Rossiter Development of terrons for the Lower Hunter Valley wine-growing region 31 P. Hughes, A.B. McBratney, B.P. Malone & B. Minasny Spatial agricultural soil quality evaluation based on digital soil maps and uncertainty analysis 37 X.L. Sun, Y.G. Zhao, M.S. Zhao & G.L. Zhang Digital soil mapping in the environment High resolution soil moisture mapping 45 J.P. Walker, G. Dumedah, A. Monerris, Y. Gao, C. Rüdiger, X. Wu, R. Panciera, O. Merlin, R. Pipunic, D. Ryu & M. Zreda Soil carbon density under eucalypt forests in Australia 53 E.N. Bui Spatial prediction of biological soil crust classes: Value added DSM from soil survey 57 C.B. Brungard & J.L. Boettinger Modelling the effect of soil type and grazing on nitrogen cycling in a tropical grazing system 61 M.J. Pringle, D.E. Allen, J.E. Payne, R.C. Dalal & B.P. Marchant A digital soil map of Phytophthora cinnamomi in the Gondwana Rainforests of eastern Australia 65 T.F.A. Bishop, R. Daniel, D.I. Guest, M.A. Nelson & C. Chang Modelling soil-regolith thickness in complex weathered landscapes of the central Mt Lofty Ranges, South Australia 69 J. Wilford & M. Thomas v MMIINNAASSNNYY..iinnddbb vv 88//2244//22001122 99::3388::2222 AAMM Exploring short-term soil landscape formation in the Hunter Valley, NSW, using gamma ray spectrometry 77 U. Stockmann, B. Minasny, A.B. McBratney, G.R. Hancock & G.R. Willgoose Spatial variability of the active layer, permafrost, and soil profile depth in Alaskan soils 83 U. Mishra & W.J. Riley Soil maps, legacy data & covariates Updating legacy soil data for digital soil mapping 91 B. Kempen, D.J. Brus, F. de Vries & B. Engel Harmonization of legacy soil maps in North America: Status, trends, and implications for digital soil mapping efforts 97 J.A. Thompson, T.W. Nauman, N.P. Odgers, Z. Libohova & J.W. Hempel Cross-regional digital soil carbon modeling in two contrasting soil-ecological regions in the US 103 B. Cao, S. Grunwald & X. Xiong Which covariates are needed for soil carbon models in Florida? 109 X. Xiong, S. Grunwald, D.B. Myers, J. Kim, W.G. Harris & N.B. Comerford A pragmatic quantitative model for soil organic carbon distribution in eastern Australia 115 J. Gray, T.F.A. Bishop, P. Smith, N.J. Robinson & D. Brough Spatial resolution effects of remote sensing images on digital soil models in aquatic ecosystems 121 J. Kim, S. Grunwald, T.Z. Osborne, R. Robbins, H. Yamataki & R.G. Rivero Digital soil modelling The potential role of pedogenesis modelling in digital soil mapping 129 G.R. Willgoose, G.R. Hancock & S. Cohen Some methods regarding manipulations of scale for digital soil mapping 135 B.P. Malone, A.B. McBratney & B. Minasny Scale-specific control of soil water storage using multivariate empirical mode decomposition 139 Wei Hu, Asim Biswas, Bing Cheng Si Mapping the occurrence and thickness of soil horizons within soil profiles 145 G. Gastaldi, B. Minasny & A.B. McBratney Spatial prediction of soil organic carbon of Crete by using geostatistics 149 E. Aksoy, P. Panagos & L. Montanarella Predicting soil organic carbon using mixed conceptual and geostatistical models 155 J.M. Goodman, P.R. Owens & Z. Libohova Spatial stochastic modeling of topsoil organic carbon content over a cultivated peri-urban region, using soil properties, soil types and a digital elevation model 161 J. Hamiache, L. Bel, E. Vaudour & J.M. Gilliot Soil climate indicators from the Geographically Explicit Newhall Simulation Model (GEN) as potential environmental covariates in digital soil mapping applications 167 H.E. Winzeler, P.R. Owens, S.W. Waltman, Z. Libohova & W.J. Waltman Digital mapping of phosphorus status using soil test and geophysical data 173 M.T.F. Wong, A. Castrignanò & D. De Benedetto Uncertainty estimation for weighted-means digital soil maps 179 N.P. Odgers, J.A. Thompson, Z. Libohova & A.B. McBratney vi MMIINNAASSNNYY..iinnddbb vvii 88//2244//22001122 99::3388::2222 AAMM Digital mapping of soil classes Digital soil-class mapping across the Edgeroi district using numerical clustering and gamma-ray spectrometry data 187 J. Triantafilis, N.Y. Earl & I.D. Gibbs Digital soil mapping: Strategy for data pre-processing 193 A. ten Caten, R.S. Diniz Dalmolin, L.F. Chimelo Ruiz & M.L. Mendonça-Santos Digital soil mapping of soil classes using decision trees in central Iran 197 R. Taghizadeh-Mehrjardi, B. Minasny, A.B. McBratney, J. Triantafilis, F. Sarmadian & N. Toomanian Fuzzy disaggregation of conventional soil maps using database knowledge extraction to produce soil property maps 203 T.W. Nauman, J.A. Thompson, N.P. Odgers & Z. Libohova Towards a model for predicting soil classes in low relief and deeply weathered landscapes of the Northern Territory 209 G.A. Owen Use of weights of evidence statistics to define inference rules to disaggregate soil survey maps 215 C.A.S. Smith, B. Daneshfar, G. Frank, E. Flager & C. Bulmer Sampling and monitoring in DSM The effect of preferential sampling on sampling variance 223 D. Clifford, P. Kuhnert, M. Dobbie, J. Baldock, B. Harch, N.J. McKenzie, I. Wheeler & A.B. McBratney A conditioned Latin hypercube sampling algorithm incorporating operational constraints 227 P. Roudier, A.E. Hewitt & D.E. Beaudette Soil survey design for management-scale digital soil mapping in a mountainous southern Philippine catchment 233 M. Thomas, N.P. Odgers, A. Ringrose-Voase, G. Grealish, M. Glover & T. Dowling Spatial and temporal prediction of soil properties from legacy data 239 B.P. Marchant, D.M. Crawford & N.J. Robinson Mapping the temporal change of soil carbon: A case study from northern New South Wales, Australia 245 S.B. Karunaratne, T.F.A. Bishop, I.O.A. Odeh, J. Baldock & B.P. Marchant Number of sampling points influences the parameters of soil properties spatial distribution and kriged maps 251 R. Vašát, L. Borůvka & O. Jakšík Digital Soil Mapping to inform design-based sampling strategies for estimating total organic carbon stocks at the farm scale 257 I. Wheeler, A.B. McBratney, B. Minasny & J.J. de Gruijter Cyber infrastructure & expert system in DSM OneGeology—Improving global access to geoscience 265 B.A. Simons, O. Raymond, I. Jackson & K. Lee Multi-scale feature data and landscape analysis toolkit for predictive soil mapping 271 X. Geng, R. Burcher, D. Kroetsch & S. Mitchell The LIFE+ SOILCONSWEB project: A web based spatial decision support system embedding DSM engines 277 G. Langella, A. Basile, A. Bonfante, P. Manna & F. Terribile vii MMIINNAASSNNYY..iinnddbb vviiii 88//2244//22001122 99::3388::2222 AAMM The role of soil inference systems in digital soil assessments 281 J.C. Morris, B. Minasny & A.B. McBratney Worldgrids—a public repository of global soil covariates 287 H.I. Reuter & T. Hengl Digital Soil Map data in an on-line, on-demand world 293 P.L. Wilson, D. Jacquier & B.A. Simons Operational DSM Digital Soil Mapping in a changing world 301 S. Grunwald, J.A. Thompson, B. Minasny & J.L. Boettinger Digital soil mapping in Ontario, Canada: An example using high resolution LiDAR 307 J.D. Aspinall & S.J. Sweeney Using Pedotransfer functions for estimating soil pH and bulk density at regional scale 313 Z. Libohova, S. Wills, J.W. Hempel, N.P. Odgers & J.A. Thompson Soil-landscape models to predict soil pH variation in the Subang region of West Java, Indonesia 317 Y. Sulaeman, M. Sarwani, B. Minasny, A.B. McBratney, A. Sutandi & B. Barus Mapping the presence of red clay subsoil in the Driftless area of Wisconsin, USA 325 D. Evans & A.E. Hartemink Modelling the distribution of organic carbon in the soils of Chile 329 J. Padarian, J. Pérez-Quezada & O. Seguel Rapid soil mapping under restrictive conditions in Tete, Mozambique 335 G.M. van Zijl, P.A.L. le Roux & H.J.C. Smith High resolution 3D mapping for soil organic carbon assessment in a rural landscape 341 M. Lacoste, D. Michot, V. Viaud, C. Walter, B. Minasny & A.B. McBratney Seasonal soil salinity monitoring in oasis ecosystems by EM conductivity 347 I. Berkal, C. Walter, D. Michot & K. Djili Downscaling for site-specific crop management needs? 353 B.M. Whelan & A.B. McBratney Estimation of soil organic carbon stock in subtropical forest region based on digital soil map in Taiwan 357 C.C. Tsai, Z.S. Chen & C.T. Duh Proximal, remote sensing and spectroscopy of soil Mapping surface soil mineralogy using hyperspectral and ASTER imagery: An example from Mullewa, Western Australia 365 I.C. Lau, T.J. Cudahy, M.C. Caccetta, C. Kobayashi, O. Kashimura, M. Kato, G.A. Wheaton & D.J. Carter Retrieval of composite mineralogy by VNIR spectroscopy 373 V.L. Mulder, S. de Bruin & M.E. Schaepman Organic matter prediction for Korean soils using visible-near infrared reflectance spectroscopy 377 H.C. Chun, S.Y. Hong, K.C. Song, Y.H. Kim, B.K. Hyun & B. Minasny A novel spectro-temporal approach for predicting soil physical properties 381 J-D. Sylvain, A.R. Michaud, M.C. Nolin & G.B. Bénié Using Vis-NIR hyperspectral data to map topsoil properties over bare soils in the Cap Bon region, Tunisia 387 C. Gomez, P. Lagacherie & S. Bacha viii MMIINNAASSNNYY..iinnddbb vviiiiii 88//2244//22001122 99::3388::2222 AAMM Co-kriging of soil properties with Vis-NIR hyperspectral covariates in the Cap Bon region (Tunisia) 393 R. Ciampalini, P. Lagacherie, P. Monestiez, E. Walker & C. Gomez Soil Classification based calibration of Visible and Near Infrared Diffuse Reflectance Spectroscopy (VNIR-DRS) for predicting soil properties 399 D.W. Wu, Y.G. Zhao, D.C. Li, F. Liu & G.L. Zhang Development of a Danish national Vis-NIR soil spectral library for soil organic carbon determination 403 M. Knadel, F. Deng, A. Thomsen & M.H. Greve Soil profile organic carbon prediction with visible-near infrared reflectance spectroscopy based on a national database 409 F. Deng, M. Knadel, Y. Peng, G. Heckrath, M.H. Greve & B. Minasny Sampling for field measurement of soil carbon using Vis-NIR spectroscopy 415 K. Singh, B. Minasny, A.B. McBratney, M.G. Short & F. Namazi Prediction of field capacity and permanent wilting point using rapid soil sensing approaches 421 N.J. Robinson, M. Kitching, M.A. Rab & P.D. Fisher GlobalSoilMap.net Versioning of GlobalSoilMap.net raster property maps for the North American Node 429 J.W. Hempel, Z. Libohova, N.P. Odgers, J.M. Thompson, S.S. Smith & G.W. Lelyk Digital soil mapping of soil properties for Korean soils 435 S.Y. Hong, Y.H. Kim, K.H. Han, B.K. Hyun, Y.S. Zhang, K.C. Song, B. Minasny & A.B. McBratney Documenting GlobalSoilMap.net grid cells from legacy measured soil profile and global available covariates in Northern Tunisia 439 R. Ciampalini, P. Lagacherie & H. Hamrouni Progress towards GlobalSoilMap.net soil database of Denmark 445 K. Adhikari, R. Bou Kheir, M.B. Greve, P.K. Bøcher, M.H. Greve, B.P. Malone, B. Minasny & A.B. McBratney The challenges of collating legacy data for digital mapping of Nigerian soils 453 I.O.A. Odeh, J. Leenaars, A.E. Hartemink & I. Amapu An Australian soil grid: Infrastructure and function 459 M.J. Grundy, R.D. Searle & J.B. Robinson Author index 465 ix MMIINNAASSNNYY..iinnddbb iixx 88//2244//22001122 99::3388::2222 AAMM

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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.