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Digital Soil Mapping of the Purdue Agronomy Center for Research and Education
This research work concentrate on developing digital soil maps to support field based plant phenotyping research. We have developed soil organic matter content (OM), cation exchange capacity (CEC), natural soil drainage class, and tile drainage line maps using topographic indices and aerial imagery. Various prediction models (universal kriging, cubist, random forest, C5.0, artificial neural network, and multinomial logistic regression) were used to estimate the soil properties of interest.
Funding
Office of Agriculture Research and Graduate Education at Purdue University
History
Degree Type
Doctor of PhilosophyDepartment
AgronomyCampus location
West LafayetteAdvisor/Supervisor/Committee Chair
Darrell G. SchulzeAdditional Committee Member 2
Jason P. AckersonAdditional Committee Member 3
Zamir LibohovaAdditional Committee Member 4
Ningning N. KongAdditional Committee Member 5
Kevin T McNamaraUsage metrics
Categories
Keywords
Digital soil mapping (DSM)Organic matter contentCation exchange capacityNatural soil drainage classesgeostatistical methodsCubist modelingRandom Forest modelsUniversal KrigingC5.0 or see5 modelingArtificial neural networkTile drainage linesSoil spatial variationPlant PhenotypingAerial Imagerydigital elevation model (DEM)terrain attributesSoil and LandscapeVery poorly drainedpoorly drainedsomewhat poorly drainedmoderately well drainedUser's accuracyproducer's accuracykappa coefficientMultinomial logit regressionconditioned Latin hypercube sampling desingTile Probetopographic wetness indexTopographic Position Indexslope heightcross sectional curvatureRelative slope positionchannel network distanceSSURGO soils dataMultiresolution valley bottom flatness index (MrVBF)Multiresolution ridge top flatness index (MrRTF)internal validationexternal validationAgronomyAgricultural Land ManagementAgricultural Land PlanningSustainable Agricultural DevelopmentAgricultural Spatial Analysis and ModellingAgricultural Hydrology (Drainage, Flooding, Irrigation, Quality, etc.)
CC BY 4.0