elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Contact | Deutsch
Fontsize: [-] Text [+]

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 and Kooistra, Lammert and Bachmann, Martin and Müller, Andreas and Powell, Mike and 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), pp. 295-302. Elsevier. DOI: 10.1016/j.geoderma.2011.09.018. ISSN 0016-7061.

[img] PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1MB

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

Abstract

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.

Document Type:Article
Title: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
Authors:
AuthorsInstitution or Email of Authors
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
Date:4 November 2011
Journal or Publication Title:Geoderma
Refereed publication:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1016/j.geoderma.2011.09.018
Page Range:pp. 295-302
Editors:
EditorsEmail
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)
Publisher:Elsevier
Series Name:ScienceDirect
ISSN:0016-7061
Status:Published
Keywords:Organic carbon; Soil spectroscopy; Albany thicket biome; Soil surface; Topsoil; EnMAP
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Prozesse der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Andreas Müller
Deposited On:14 Nov 2011 09:17
Last Modified:22 Apr 2013 08:52

Repository Staff Only: item control page

Browse
Search
Help & Contact
Informationen
electronic library is running on EPrints 3.3.12
Copyright © 2008-2012 German Aerospace Center (DLR). All rights reserved.