Examination of the validity of stand biomass estimation using vegetation indices combined with vegetation classification in an arid area

As one of the effective techniques of CO2 Sequestration, a systematic afforestation method at the project level in an arid area has been proposed, and Australia was chosen as the trial site. Appropriate carbon sequestration estimation technique has not been determined in this arid area. Thus, in thi...

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Published inJournal of the Remote Sensing Society of Japan (Japan) Vol. 26; no. 2
Main Authors Suganuma, H.(Tsukuba Univ., Ibaraki (Japan)), Nagatani, S, Abe, Y, Tanouchi, H, Kojima, T, Yamada, K
Format Journal Article
LanguageJapanese
Published 2006
Subjects
ANALISIS DE IMAGENES
ANALYSE D'IMAGE
ARID ZONES
AUSTRALIA
AUSTRALIE
BIOMASA
BIOMASS
BIOMASSE
CLASIFICACION
CLASSIFICATION
FOREST STANDS
IMAGE ANALYSIS
METHODE
METHODS
METODOS
PEUPLEMENT FORESTIER
REMOTE SENSING
RODALES
TELEDETECCION
TELEDETECTION
VEGETACION
VEGETATION
ZONA ARIDA
ZONE ARIDE
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Summary:As one of the effective techniques of CO2 Sequestration, a systematic afforestation method at the project level in an arid area has been proposed, and Australia was chosen as the trial site. Appropriate carbon sequestration estimation technique has not been determined in this arid area. Thus, in this research, the stand biomass estimation combined with Yegetation classification was examined. A decision tree method was chosen as the vegetation classification method. Vegetation indices (NDVI, SAVI, MSAVI1, MSAVI2, OSAVI) were used for the stand biomass estimation method. The overall accuracy of the vegetation classification result was 89%, and the Khat statistics was 0.86. Therefore, the vegetation classification accuracy was considered to be reliable. Strong correlations (R2=0.88-0.96) between the vegetation indices except MSAVI1 and the stand biomass were observed. Thus, all the vegetation indices except MSAVI1 were considered to be applicable to this research area. However, the stand biomass estimation combined with vegetation classification increased the difference between estimated values and actual values. This was considered to be attributable to the vegetation classification error. Considering the specific circumstances that more than 95% of this research area is bare ground or Acacia aneura woodland, the estimation error was decreased by omitting other classification items.
Bibliography:U40
2006007524
F40
ISSN:0289-7911
DOI:10.11440/rssj1981.26.95