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The aim of the study was to examine how robust soil‐terrain models are to uncertainty in the source elevation data. The study site was a 74 ha agricultural ...
The aim of the study was to examine how robust soil‐terrain models are to uncertainty in the source elevation data. The study site was a 74 ha agricultural ...
In the past 20 years, a digital soil mapping (DSM) framework has been developed based on building quantitative prediction models of soil attributes and ...
Abstract: Carrier phase GPS technology was used to map the elevation of a 74 ha agricultural field in the eastern wheat belt of Australia, with each.
The aim of this study is to assess spatial uncertainty of soil erodibility factor resulting from differences of soil properties influenced by land uses, using ...
Jan 24, 2022 · In this study we conducted a sensitivity and uncertainty analysis using the Annual P Loss Estimator (APLE) model focusing on model ...
Missing: terrain | Show results with:terrain
ABSTRACT: This study applies digital analysis methods of topographic data derived from digital elevation models (DEMs) and Landsat remotely sensed spectral data ...
In this methodology, we generate a grid-based database containing a digitized elevation model, and soil, rainfall, and vegetation maps. Spatial and temporal ...
It is quite common in digital soil mapping (DSM) to quantify the uncertainty of issued predictions, that is to make probabilistic predictions.
Oct 22, 2024 · In this paper, we focus on calibration and uncertainty analysis highlighting some serious issues in the calibration of distributed models. A ...