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The Use of Proximal Soil Sensor Data Fusion and Digital Soil Mapping For The use of proximal soil sensor data fusion and digital soil mapping for precision agriculture Wenjun Ji, Viacheslav Adamchuk, Songchao Chen, Asim Biswas, Maxime Leclerc, Raphael Viscarra Rossel To cite this version: Wenjun Ji, Viacheslav Adamchuk, Songchao Chen, Asim Biswas, Maxime Leclerc, et al.. The use of proximal soil sensor data fusion and digital soil mapping for precision agriculture. Pedometrics 2017, Jun 2017, Wageningen, Netherlands. 298 p. hal-01601278 HAL Id: hal-01601278 https://hal.archives-ouvertes.fr/hal-01601278 Submitted on 2 Jun 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution - ShareAlike| 4.0 International License Abstract Book Pedometrics 2017 Wageningen, 26 June – 1 July 2017 2 Contents Evaluating Use of Ground Penetrating Radar and Geostatistic Methods for Mapping Soil Cemented Horizon .................................... 13 Digital soil mapping in areas of mussunungas: algoritmos comparission .......... 14 Sensing of farm and district-scale soil moisture content using a mobile cosmic ray probe (COSMOS Rover) .................................... 15 Proximal sensing of soil crack networks using three-dimensional electrical resistivity to- mography ......................................... 16 Using digital microscopy for rapid determination of soil texture and prediction of soil organic matter ...................................... 17 Analysis of complementarities of different spectral analytics to sense soil properties ... 18 Long-term diachronic series for soil carbon saturation evidence. A case study on volcanic soils of reunion island under sugarcane crops. ..................... 19 Concept of entropy in spatial distribution of vegetation in satellite images ........ 20 Digital Soil Mapping Method Based on the Similarity of Environmental Covariates in the Spatial Neighborhood .................................. 21 Multivariate and multi-layer soil mapping using structural equation modelling ...... 22 Incorporating infrared spectroscopic data, land management, soil drainage and soil erosion observations into Bayesian framework for modelling soil erosion risk ........ 23 Comparing airborne and terrestrial laser scanning DTMs for high resolution topsoil pH modelling ......................................... 24 Multi-sensor data fusion for supervised land-cover classification through a Bayesian set- ting coupling multivariate smooth kernel for density estimation and geostatistical techniques ......................................... 25 Uncertainty in soil properties from the hydrological point of view: a call for new types of soil maps? ......................................... 26 Detecting soil microbial community shifts via field spectroscopy .............. 27 Using Near Infrared Spectroscopy in determining the mineralogical variations of the Lon- don Clay Formation, Whitecliff Bay, Isle of White, UK. ............... 28 Standardization of world soil profile data to support global mapping and modelling ... 29 Soil and Environment software, a tool for soil management ................ 30 App Soil Calculator ...................................... 31 Algorithms for quantitative pedology ............................. 32 Saskatchewan Soils: Access and improvements to soil information ............. 33 Soil Spectral Library of Ethiopia (SSL-ETH), Version-I .................. 34 Detailed predictive mapping of acid sulfate soil occurrence using electromagnetic induc- tion data ......................................... 35 Supplementing predictive mapping of acid sulfate soil occurrence with Vis-NIR spectroscopy 37 3D prediction of soil moisture using data from varying horizontal and vertical supports . 38 Joint multifractal analysis of the influence of topography and soil texture on soil water storage ........................................... 39 3 Multitemporal Soil Pattern Analysis for Organic Matter Estimation on Arable Fields using Multispectral Satellite Data ............................ 40 Spectral mixing for vis-NIR diffuse reflectance spectroscopy ................ 41 Predictive mapping of the acidifying potential for acid sulfate soils ............ 42 Can soil spatial prediction models from different areas be similar? ............ 44 Thermal remote sensing for digital soil mapping ....................... 45 Optimal stratification for validation of digital soil maps .................. 46 Spatial modeling of geomorphometric variables for natural hazard valuation to desertifi- cation in tropical zones .................................. 47 Use of drone high resolution images to quantify soil erosion ................ 48 Predicting Scottish soil properties using X-ray powder diffraction ............. 49 Digital Soil Mapping of soil properties across GB: case studies from Scotland and England 50 A routine chemometrics approach to estimate soil organic carbon in croplands exploiting LUCAS topsoil database. ................................ 51 Integration of GPR measurements with sparse textural data for characterizing forest soils: an application of data fusion in southern Italy (Calabria) .............. 52 Determination of naturally occurring concentrations of trace elements in New Zealand soils 53 Mapping spatial variability of soil organic carbon, phosphorus and soil acidity in Zambia 54 A Method Research on Digital Soil Mapping Using ES-RS-GIS in Semi-arid Sandy Land: A Case Study of Horqin Left Back Banner ....................... 55 Soil classification of multi-horizontal profiles using support vector machines and vis-NIR spectroscopy ....................................... 56 Using new sparsity genomic methods to improve soil chemometric models ........ 57 Transferring and spiking of soil spectral models between two south Indian villages ... 58 Mapping the Impact of Zero Tillage on the Biophysical Properties of Soil ........ 59 Analysis of total carbon in soils from Itatiaia National Park: relationship with profile attributes and terrain covariates ............................ 60 Proximal sensing of soil surface properties in relation to crusting, and rainfall-runoff processes: from portable to UAV-based platforms ................... 61 The spatial variability of soil’s plant-available water capacity, and its implications for site-specific management ................................. 62 Evaluating recent and sub-recent magnetic impact records of air pollution by combined soil and bio-magnetic monitoring ............................ 63 Ecosystem services provided by groundwater dependent wetlands in karst areas: carbon storage and sequestration ................................ 64 Spatial explicit prediction of soil organic matter using a hybrid model composed of random forest and ordinary kriging ............................... 65 Identifying soil management zones in a sugarcane field using proximal sensed electromag- netic induction and gamma-ray spectrometry data .................. 66 Evaluating the potential of simulated soil clay content by SoilGen2 model as soft data in Regression Kriging in sparsely sampled areas ..................... 67 Orthogonalisation and standardisation as alternatives to improve predictions of soil prop- erties and lime requirement using on-the-go Vis-NIR-SWIR spectroscopy ...... 68 Use of GPR in evaluation of iron ore tailings deposition characteristics in the River Doce Basin - Brazil ....................................... 69 A graphical user interface in R to perform preprocessing, multivariate modeling and prediction using spectroscopic data ........................... 70 Rapid detection of alkanes and polycyclic aromatic hydrocarbons (PAH) in oil-contaminated soils using visible near-infrared spectroscopy and chemometrics ........... 71 A combination of soil sensors provides useful and efficient landscape genesis information for archaeological prospection .............................. 72 4 Assessment of soil ecosystem services at landscape scale by direct soil monitoring and modelling. ......................................... 73 Measuring functional pedodiversity using spectroscopic information ............ 74 Slakes: A soil aggregate stability android application .................... 75 Soil NIR-spectra and high-resolution satellite images to monitor the characteristics of active layer most related to permafrost thermal behaviour, Crater Lake CALM site, Deception Island, Marine Antarctica. .......................... 76 Large scale modelling of soil organic matter using DTM variables and geographically weighted regression .................................... 77 Laser scanner technologies to monitoring mountain peatlands recovering ......... 78 Using a Portable XRF for Classifying Volcanic Paddy Soils of West Sumatra, Indonesia 79 Quantifying the uncertainty in a model reconstruction of a soilscape for archaeological land evaluation ...................................... 80 Soil hydrological classification mapping in Scotland using DSM and Random Forests .. 81 GIS-based multivariate predictive models for gully erosion susceptibility
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