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This paper aims to develop a prototype soil observation database for global soil mapping in Indonesia.
A detailed field survey was conducted with soil observation, hand augerings and description of stratigraphic sections in pits, in order to validate the remote sensing interpretations.
Additional information (e.g. data on wind conditions or soil observation sites) provided by the WebGIS will be helpful to determine representative monitoring sites for detecting potential GMO impacts by means of monitoring or modelling.
The validation by means of an additional data set consisting of 30 long-term soil observation sites located in the federal state of Brandenburg was within a confidence range of 95%.
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By 2010 its database contained 150 billion soil observations and 10 trillion weather-simulation points.In this section The rise of the frugal innovator Ever more inventive Bundles and bulk Pharmed out Read it and leap Fuelling unhappiness Ad-mirable Kidnapped Digital disruption on the farm ReprintsThe Climate Corporation planned to use these data to sell crop insurance.
Standard soil observations were done in all locations.
It processes that data, along with 150 billion soil observations, to generate 10 trillion weather simulation data points.
Soil observations and environmental data were used to create digital soil maps using regression models and kriging.
An additional set of 1148 punctual soil observations spread over the study area represented an independent validation dataset.
Prediction models based on various network topologies were assessed for different selections of soil observations and combinations of environmental variables.
Direct estimates of bedrock depth from destructive soil observations are discontinuous and too expensive to be used in large areas.
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