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Estimating Soil Organic Matter Content in Desert Areas Using In Situ Hyperspectral Data and Feature...

Estimating Soil Organic Matter Content in Desert Areas Using In Situ Hyperspectral Data and Feature...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6f70f34918434d719f327e9c5197e232

Estimating Soil Organic Matter Content in Desert Areas Using In Situ Hyperspectral Data and Feature Variable Selection Algorithms in Southern Xinjiang, China

About this item

Full title

Estimating Soil Organic Matter Content in Desert Areas Using In Situ Hyperspectral Data and Feature Variable Selection Algorithms in Southern Xinjiang, China

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2022-10, Vol.14 (20), p.5221

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Soil organic matter (SOM) is a key factor for evaluating soil fertility. Rapidly monitoring organic matter content in desert soil can provide a scientific basis for the rational development and utilization of reserve arable land resources. Although spectral inversion accuracy for SOM under laboratory-controlled conditions is high, it is time-consum...

Alternative Titles

Full title

Estimating Soil Organic Matter Content in Desert Areas Using In Situ Hyperspectral Data and Feature Variable Selection Algorithms in Southern Xinjiang, China

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6f70f34918434d719f327e9c5197e232

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6f70f34918434d719f327e9c5197e232

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs14205221

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