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Data · dataset · 2016

Soil properties mapping using high resolution remote sensing data in south-western Burkina Faso

Listed in DataCite

Six soil properties- sand, silt, clay, cation exchange capacity, soil organic carbon, nitrogen- have been predicted using remote sensing data in the Dano Catchment (West Africa, Burkina Faso).

Description

The predictors topographical and sprectral (Landsat and RapidEye) data. These data are in support of the article entitled: "High resolution mapping of soil properties using remote sensing variables in south-western Burkina Faso: a comparison of machine learning and multiple linear regression models".

The uploaded dataset contains: (1) dataset in text file format, in excel file format as well as the R code use to to train and test the model.

Links

Topics

Inferred from text
Satellite remote sensing 65% · Text 75%

Related

Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
DataCite10.6084/m9.figshare.4285169.v310 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
byte_sizesource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:agriculture-forestry-and-fisheriessource · DataCiteconnector:datacite@1.0.0
concepts[modality].local:modality:remote-sensingenrichment · DataCitekeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:textenrichment · DataCitekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · DataCiteconnector:datacite@1.0.0
descriptionsource · DataCiteconnector:datacite@1.0.0/data/attributes/descriptions
licensesource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
publication_datesource · DataCiteconnector:datacite@1.0.0/data/attributes/dates
titlesource · DataCiteconnector:datacite@1.0.0/data/attributes/titles/0/title
updated_datesource · DataCiteconnector:datacite@1.0.0