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Predictions of soil surface and topsoil organic carbon content through the use of laboratory and field spectroscopy in the Albany Thicket Biome of Eastern Cape Province of South Africa

Nocita, Marco und Kooistra, Lammert und Bachmann, Martin und Müller, Andreas und Powell, Mike und Weel, Silvia (2011) Predictions of soil surface and topsoil organic carbon content through the use of laboratory and field spectroscopy in the Albany Thicket Biome of Eastern Cape Province of South Africa. Geoderma (167-168), Seiten 295-302. Elsevier. DOI: 10.1016/j.geoderma.2011.09.018. ISSN 0016-7061.

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Offizielle URL: http://www.sciencedirect.com/science/article/pii/S0016706111002850

Kurzfassung

In recent years it has been shown that laboratory and field visible near infrared spectroscopy (VNIRS) allows for the accurate prediction of soil organic carbon (SOC) — more rapidly, less expensively, and at larger scales than conventional soil laboratory methods. VNIRS might find application in the restoration assessment of the degraded, semi-arid subtropical thickets of the Albany Thicket Biome (ATB) of the Eastern Cape Province of South Africa. During the twentieth century, the semi-arid forms of the ATB suffered heavy browsing by goats, transforming the dense closed-canopy shrubland into an open savannah-like system. This paper presents a study dealing with SOC estimation of soil surface (0–5 mm) and topsoil (0–200 mm) in the degraded ATB, through the combination of soil spectroscopy and partial least square regression (PLSR). Spectroscopic measurements and soil samples were collected along a transect in the ATB. The PLSR models developed with laboratory and field spectra gave good predictions of SOC, with root mean square error of validation (RMSEV) < 5.0 and 5.5 g C kg− 1, respectively. The use of the full visible near-infrared spectral range gave better SOC predictions than using either visible or near-infrared separately. The resampling simulation of the field surface spectra to the 232 channels of the satellite-born EnMAP sensor gave good SOC predictions for laboratory conditions (RPD > 2), but low accuracy (RMSE: 9.88 g C kg− 1) for field model. The results of this research study indicated that, for the ATB, (i) combining soil spectroscopy and PLSR does favor accurate prediction of SOC, (ii) the predictions of surface SOC can be used as a proxy of topsoil SOC, and (iii) there is potential for future application of satellite-born hyperspectral data for SOC content predictions.

Dokumentart:Zeitschriftenbeitrag
Titel:Predictions of soil surface and topsoil organic carbon content through the use of laboratory and field spectroscopy in the Albany Thicket Biome of Eastern Cape Province of South Africa
Autoren:
AutorenInstitution oder E-Mail-Adresse der Autoren
Nocita, Marco Université Catholique de Louvain
Kooistra, LammertLaboratory for Geo-Information Science and Remote Sensing, Wageningen University
Bachmann, Martinmartin.bachmann@dlr.de
Müller, Andreasandreas.mueller@dlr.de
Powell, MikeDepartment of Environmental Science, Rhodes University, Grahamstown, South Africa
Weel, SilviaPresence-Earthcollective, South Africa
Datum:4 November 2011
Erschienen in:Geoderma
Referierte Publikation:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
DOI :10.1016/j.geoderma.2011.09.018
Seitenbereich:Seiten 295-302
Herausgeber:
HerausgeberInstitution und/oder E-Mail-Adresse der Herausgeber
Borggaard, O.K.Institut for Grundvidenskab/Jordbunds, Thorvaldsenvej 40, DK-1871 Frederiksberg C, Denmark
Chorover, J.Dept. of Soil, Water and Environmental Science, University of Arizona
Hartemink, A.E. Dept. of Soil Science, University of Wisconsin at Madison
Kögel-Knabner, I.Dept. für Ökologie, Wissenchaftszentrum Weihenstephan, Technische Universität München (TUM)
Verlag:Elsevier
Name der Reihe:ScienceDirect
ISSN:0016-7061
Status:veröffentlicht
Stichwörter:Organic carbon; Soil spectroscopy; Albany thicket biome; Soil surface; Topsoil; EnMAP
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Vorhaben Prozesse der Landoberfläche (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Landoberfläche
Hinterlegt von: Andreas Müller
Hinterlegt am:14 Nov 2011 09:17
Letzte Änderung:22 Apr 2013 08:52

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