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Predicting Soil Organic Carbon Content Using Hyperspectral Remote Sensing in a Degraded Mountain Landscape in Lesotho.

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Title: Predicting Soil Organic Carbon Content Using Hyperspectral Remote Sensing in a Degraded Mountain Landscape in Lesotho.
Authors: Bangelesa, Freddy1, Adam, Elhadi1, Knight, Jasper1, Dhau, Inos2, Ramudzuli, Marubini2, Mokotjomela, Thabiso M.1
Source: Applied & Environmental Soil Science; 4/13/2020, p1-11, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 142703156
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Predicting Soil Organic Carbon Content Using Hyperspectral Remote Sensing in a Degraded Mountain Landscape in Lesotho.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=142703156
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1155/2020/2158573
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      – Code: eng
        Text: English
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        PageCount: 11
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      – TitleFull: Predicting Soil Organic Carbon Content Using Hyperspectral Remote Sensing in a Degraded Mountain Landscape in Lesotho.
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            NameFull: Bangelesa, Freddy
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            NameFull: Adam, Elhadi
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            NameFull: Knight, Jasper
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            NameFull: Mokotjomela, Thabiso M.
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            – D: 13
              M: 04
              Text: 4/13/2020
              Type: published
              Y: 2020
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            – TitleFull: Applied & Environmental Soil Science
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