A regional-scale assessment of digital mapping of soil attributes in a tropical hillslope environment
GeodermaPublished 17 June 2014
Waldir de Carvalho, Philippe Lagacherie, C. da S. Chagas, Braz Calderano Filho, S. B. Bhering
Citations60
SJR quartileQ1
SJR score2.07
SNIP1.83
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
INRA UMR LISAH : Equipe Organisation Spatiale et Fonctionnement des Paysages Cultivés [email protected]
Keywords
Computer ScienceAgricultural and Biological SciencesEnvironmental Science
BiometricsClassification and Regression Trees.
23,841 Citations1984Alexander Gordon, Leo Breiman +3 more
Computers & GeosciencesMultivariable geostatistics in S: the gstat package
3,009 Citations2004Edzer Pebesma
The gstat S package is introduced, an extension package for the S environments (R, S-Plus) that provides multivariable geostatistical modelling, prediction and simulation, as well as several visualisation functions.
Computers & GeosciencesFinding the right pixel size
816 Citations2006Tomislav Hengl
This paper discusses empirical and analytical rules to select a suitable grid resolution for output maps and based on the inherent properties of the input data to derive the true optimal grid resolution that maximizes the predictive capabilities or information content of a map.
GeodermaGlobal soil characterization with VNIR diffuse reflectance spectroscopy
743 Citations2005David J. Brown, Keith Shepherd +3 more
GeodermaMapping continuous depth functions of soil carbon storage and available water capacity
482 Citations2009Brendan Malone, Alex B. McBratney +2 more
Digital Soil Mapping with Limited Data
401 Citations2008Hartemink, Alfred E, Mendonça-Santos, Maria de Lourdes +1 more
GeodermaMulti-criteria characterization of recent digital soil mapping and modeling approaches
339 Citations2009Sabine Grunwald
Strengths and weaknesses of current DSMM, their potential to be operationalized in soil mapping/modeling programs, research gaps, and future trends are discussed.
Developments in psychiatryChapter 1 Spatial Soil Information Systems and Spatial Soil Inference Systems: Perspectives for Digital Soil Mapping
220 Citations2006Philippe Lagacherie, Alex B. McBratney
This chapter presents a generic framework that recognises the procedures required for digital soil mapping and suggests that SSINFOS must be populated and spatial soil inference systems (SSINFERS) must be developed to allow users to derive the data they require.
GeodermaRelationships in soil distribution as revealed by a global soil database
66 Citations2009Jonathan Gray, G. S. Humphreys +1 more
Scientia AgricolaA comparison between Joint Regression Analysis and the Additive Main and Multiplicative Interaction model: the robustness with increasing amounts of missing data
28 Citations2011Paulo Canas Rodrigues, Dulce G. Pereira +1 more
Digital Soil Mapping as a Component of Data Renewal for Areas with Sparse Soil Data Infrastructures
24 Citations2008David G. Rossiter
Mapping the occurrence and thickness of soil horizons within soil profiles
19 Citations2012B. Minasny A.B. McBratney G. Gastaldi
Documenting GlobalSoilMap.net grid cells from legacy measured soil profile and global available covariates in Northern Tunisia
16 Citations2012Rossano Ciampalini, Philippe Lagacherie +1 more
Developments in psychiatryChapter 32 Digital Mapping of Soil Attributes for Regional and Catchment Modelling, using Ancillary Covariates, Statistical and Geostatistical Techniques
15 Citations2006Inakwu Odeh, Mark Crawford +1 more
Scientia AgricolaDigital soilscape mapping of tropical hillslope areas by neural networks
14 Citations2011Waldir de CarvalhoJunior, C. da S. Chagas +5 more
The relationship between environmental components of tropical hillslope areas in the Rio de Janeiro State, Brazil, artificial neural networks (ANN), and maximum likelihood algorithm (MaxLike) were evaluated with the aid of geoprocessing techniques and the ANN architectures produced the best classifications when using samples obtained systematically.
Digital Soil Mapping Using Legacy Data in the Eden Valley, UK
14 Citations2008T. R. Mayr, R. Palmer +1 more
Revista Brasileira de Ciência do SoloIntegração de dados do quickbird e atributos do terreno no mapeamento digital de solos por redes neurais artificiais
14 Citations2011C. da S. Chagas, Waldir de Carvalho Júnior +1 more
The approach can contribute to overcome some problems of soil mapping in Brazil, especially at scales larger than 1:25,000, with faster and cheaper execution, mainly if remote sensing data with high spatial resolution and an affordable price are available, and good digital elevation models to generate the terrain attributes in the geographical information systems.
Scale-specific control of soil water storage using multivariate empirical mode decomposition
10 Citations2012Wei Hu, Asim Biswas +1 more
Spatial prediction of soil organic carbon of Crete by using geostatistics
8 Citations2012Panos Panagos
Cross-regional digital soil carbon modeling in two contrasting soil-ecological regions in the US
5 Citations2012Xiong Xiong
