Evaluation of random forest-based analysis for the gypsum distribution in the Atacama desert

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Title:Main Title: Evaluation of random forest-based analysis for the gypsum distribution in the Atacama desert
Description:Abstract: Gypsum-rich material covers the hillslopes above ∼ 1000 m of the Atacama and forms the particular landscape. In this contribution, we evaluate random forest-based analysis in order to predict the gypsum distribution in a specific area of ∼ 3000 km2, located in the hyperarid core of the Atacama. Therefore, three different sets of input variables were chosen. These variables reflect the different factors forming soil properties, according to digital soil mapping. The variables are derived from indices based on imagery of the ASTER and Landsat-8 satellite, geomorphometric parameters based on the Tandem-X World DEM™, as well as selected climate variables and geologic units. These three different models were used to evaluate the Ca-content derived from soil surface samples, reflecting gypsum content. All three different models derived high values of explained variation (r2 > 0.886), the RMSE is ∼ 4500 mg∙kg−1 and the NRMSE is ∼ 6%. Overall, this approach shows promising results in order to derive a gypsum content prediction for the whole Atacama. However, further investigation on the independent variables need to be conducted. In this case, the ferric oxides index (representing magnetite content), slope and a temperature gradient are the most important factors for predicting gypsum content.
Identifier:10.5194/isprs-annals-IV-3-W2-2020-25-2020 (DOI)
Responsible Party
Creators:Dirk Hoffmeister (Author), Marina Herbrecht (Author), Tanja Kramm (Author), Philipp Schulte (Author)
Funding Reference:Deutsche Forschungsgemeinschaft (DFG): CRC 1211: Earth - Evolution at the Dry Limit
Publication Year:2020
CRC1211 Topic:Remote Sensing
Related Subproject:Z2
Subjects:Keywords: Geomorphology, GIS, Satellite remote sensing
Geogr. Information Topic:Geoscientific Information
File Details
Data Type:Text - Event Paper
File Size:1 MB
Date:Available: 29.10.2020
Mime Type:application/pdf
Data Format:PDF
Download Permission:Free
General Access and Use Conditions:No conditions apply
Access Limitations:No limitations
Licence:[Creative Commons] Attribution 4.0 International (CC BY 4.0)
Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Event Paper
Number of Pages:4 (25 - 28)
Event: IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS 2020)
Event Type:Conference
Event Location:Santiago, Chile
Event Duration:22nd of March, 2020 - 26th of March, 2020
Metadata Details
Metadata Creator:Dirk Hoffmeister
Metadata Created:16.12.2020
Metadata Last Updated:16.12.2020
Funding Phase:1
Metadata Language:English
Metadata Version:V50
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