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Data · dataset · 2024

Dataset for: From rangelands to cropland, land-use change and its impact on soil organic carbon variables in a Peruvian Andean highlands: A Machine Learning modeling approach

Listed in International Potato Center

This dataset includes remote sensing data, land use and land cover (LULC, with nine categories), climate-topography data, and sampled physical-chemical soil variables.

Description

These data were utilized to model soil organic carbon (SOC) variables—SOC, refractory SOC (RSOC), and the carbon isotope composition of SOC (δ13CSOC)—using Machine Learning (ML) algorithms in the Central Andean highlands of Peru.

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Where it is published

Catalogue records · 1

Topics

From keywords
Life Sciences
Inferred from text
Satellite remote sensing 65%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
International Potato Centerdoi:10.21223/VVIFL912 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:agricultural-sciencessource · data cipotato orgconnector:data_cipotato_org@1.0.0/subjects
concepts[field].dataverse_subject:computer-and-information-sciencesource · data cipotato orgconnector:data_cipotato_org@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · data cipotato orgconnector:data_cipotato_org@1.0.0/subjects
concepts[modality].local:modality:remote-sensingenrichment · data cipotato orgkeyword-concept-rules@1.0.0title+description (65%)
created_datesource · data cipotato orgconnector:data_cipotato_org@1.0.0
descriptionsource · data cipotato orgconnector:data_cipotato_org@1.0.0/description
publication_datesource · data cipotato orgconnector:data_cipotato_org@1.0.0
titlesource · data cipotato orgconnector:data_cipotato_org@1.0.0/name
updated_datesource · data cipotato orgconnector:data_cipotato_org@1.0.0
version_labelsource · data cipotato orgconnector:data_cipotato_org@1.0.0