Full text: Proceedings, XXth congress (Part 7)

  
SOIL CARBON STOCKS UNDER PASTURES IN THE BRAZILIAN CERRADO REGION 
THEIR ASSESSMENT BY ORBITAL REMOTE SENSING 
al m M e , S ^ 2 vm S „1 F 2 
G.G.Szakäcs!*, V.Eschenbrenner?, C.C. Cerri , M. Bernoux? 
! Laboratory of Environmental Biogeochemistry - Center of Nuclear Energy in Agriculture (CENA/USP) 
CP 96, 13400-970 Piracicaba, Brazil — (*gabor@cena.usp.br) 
? UR041 — SeqC, Institut de Recherche pour le Développement (IRD), Montpellier, France 
Key Words: Climate, Agriculture, Soil, Estimation, Landsat, Spectral 
ABSTRACT: 
The article 3.4 of the Kyoto Protocol acknowledges agriculture soils as a potential sink for soil organic carbon (SOC). To estimate 
current and potential SOC on a broad scale for these potential sinks in a fast and inexpensive manner, the applicability of orbital 
remote sensing techniques was studied. Four pastures on sandy soils of the Brazilian Cerrado were chosen due to their SOC 
sequestration potential. Thereupon, the four chosen pastures were characterized in terms of their SOC (0-50em). Subsequently was 
investigated the correlation degree between SOC and Leaf Area Index (LAI) and SOC and pasture reflectance in 6 different spectra 
in the range from 450nm — 2350nm, using the Enhanced Thematic Mapper (ETM+) sensor of satellite Landsat 7. The SOC showed a 
good correlation with the LAI (r = 0,97). As exists a good correlation between LAI and Spectral Vegetation Indices (SVIs), the good 
correlation between SOC and LAI permits an adequat estimation for current and potential SOC through the NDVI. 
A regression analysis showed also particularly good correlations between SOC and pasture reflectance in the red (r = 0,96) and 
shortwave infrared (SWIR) (r = 0,95) spectrum. Both methods, the orbital measured LAI and the direct reflectance approach, seem to 
be a promising tool to estimate current and potential SOC by orbital remote sensing. 
KURZFASSUNG: 
Der Artikel 3.4 des Kyoto Protokolls hebt hervor, dass landwirtschaftlich genutzte Bóden potentielle Fixierer von Bodenkohlenstoff 
darstellen. Um den aktuellen und potentiellen Bodenkohlenstoffgehalt grossfláchig, schnell und kostengünstig ermitteln zu kónnen, 
wurde für diesen Zweck die Eignung der orbitalen Fernerkundung analysiert. Es wurden aus Gründen des 
Kohlenstofffixierungspotentials vier Weidefláchen im Brasilianischen Cerrado untersucht. Es wurde die Korrelation zwischen 
Bodenkohlenstoff /Blattoberflàchenindex und Bodenkohlenstoff/Weideflüchenreflexion untersucht. Zur Spektralanalyse wurden 
sechs Spektralbánder des Satelliten Landsat 7 herangenommen, welche den Spektralbereich von 450nm - 2350nm umfassen. Der 
Bodenkohlenstoff zeigte eine gute Korrelation mit dem Blattoberflächenindex. Da es eine gute Korrelation zwischen 
Blattoberflächenindex und spektralen Vegetationsindexen (z.B. NDVI) gibt, kann daraus abgeleitet werden, dass aktuelle und 
potentielle Bodenkohlenstoffgehalte mittels orbitaler Fernerkundung ermittelt werden kônnen. 
Zudem zeigte eine lineare Regressionsanalyse zwischen Bodenkohlenstoffgehalten und Weidereflexion besonders gute Korrelationen 
im roten (r = 0,96) und mittleren Infrarotbereich (r = 0,95) und qualifiziert auch den Ansatz der Bodenkohlenstoffbestimmung mittels 
Weidereflexion als geeignet. 
assimilation, which is partly stored in the soil. Hodgson 
1. INTRODUCTION (1990) considers, that LAT is one of the two variables, which 
represent a major consistence in relation to pasture NPP. 
The signature of the *United Nations Framework Convention. Therefore this study explored the correlation between SOC 
on Climate Change" (UNFCCC) of Brazil and 150 other and IAF. According to Asner (1998), LAI represents, 
countries in Rio de Janeiro in June 1992 indicated the wide together with the LAD (Leaf Angle Distribution), the 
acknowledgement that climate changes are representing a dominant control on canopy reflectance. Furthermore it is 
major threat for the environment and the economic legitimist to interpret subsoil information (e.g. SOC.) by the 
development in the world. Climate changes are caused by an use of upper soil surface characteristics (e.g. LAI) with 
increasing greenhouse effect, above the desired level. CO» satellite images, if there is a strong correlation among them. 
has the biggest impact of all greenhouse gases with a global Several studies point out a good relationship between the IAF 
warming potential of 60% (IPCC, 2000). The main goal of and spectral vegetation indexes (SVIs) as the Normalized 
the Kyoto Protocol is the slowing of human contribution in Difference Vegetation Index (NDVI) (e.g. Broge & Leblanc, 
relation to the increasing atmospheric concentrations of CO; 2000). As the SVIs can be expressed in satellite images, SOC 
(Walsh, 1999). Therefore, the Kyoto Protocol acknowledges estimation based on IAF determination by satellite images 
the possibility of SOC sequestration in cultivated soils (art seems to be a promising approach, if a significant correlation 
3.4), The protocol also promotes research for SOC estimation between these two parameters can be found. Several studies 
in a quick, inexpensive, but precise manner, which led to this also explored the relationship between soil organic matter 
study.. and soil reflectance (e.g. Henderson et al., 1989). By so far 
Sandy pastures under Brazilian Cerrado . conditions with there exists very little research about the spectral relationship 
Brachiaria forage were studied due to their high SOC between subsurface SOC combined with vegetation/soil 
sequestration potential. A higher Net Primary Productivity reflectance at orbital remote sensing scale. The objective of 
(NPP) increases SOC due to higher carbohydrate this study is to explore this relationship, taken into account, 
796 
Intern 
that S 
deal v 
21 C 
The s 
secon 
comp: 
struct 
studie 
Paulo 
(Barr 
clima! 
winte 
avera, 
Metec 
annua 
precir 
(ESA 
Neoss 
refers 
(FAO 
2.2 P: 
Four | 
chose 
pastur 
hectar 
ensure 
pastut 
a Lan 
leads 
ensure 
2.3 S( 
231 
10cm 
0-5 
Thes 
by six 
accou 
layer. 
232 
50 C- 
remo 
diago: 
Fine 1 
the r 
meast 
charge 
remo 
carboi 
combi 
2.3.3 
follow 
SOC 
soil | 
g/m ir
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.