Filed under: IJAS Vol 1(1)-2001
Indonesian Journal of Agricultural Sciences (2001), 1, 1-4. Green Digital Press.
Copyright c 2001 Indonesian Agricultural Sciences Association
Length of the growth period derived from remote sensed and climate data for different vegetation types in Monsoon Asia
Eleonora Runtunuwu1 and Akihiko Kondoh2
1Graduate School of Science and Technology, Chiba University, Japan
2Center for Environmental Remote Sensing, Chiba University, Japan
(Received May 7, 2001; Final Revision June 1, 2001; Accepted June 4, 2001)
Abstract
The length of the growth period (LGP) for diverse vegetation types in Monsoon Asia has been estimated using remote sensed-derived Normalized Differential Vegetation Index (NDVI) and climate data. Over the study area, sixteen-selected vegetation types were used, which include tropical rain forest, tropical seasonal forest, sub tropical forest, evergreen broadleaf forest, evergreen needleleaf forest, deciduous broadleaf forest, deciduous needleleaf forest (conifer forest), woody savanna, cropland, rice paddy, grass/crop, cold grassland, low sparse grassland, shrubland, semi desert, and desert. From the remote sensed perspective, the LGP applied here was defined as the longest consecutive period in one year when the monthly NDVI values are greater than 0.09, 0.099, 0.1, 0.17, and 0.2, where as climatic approach, it is determined when the monthly precipitation is greater than 50% potential evapotranspiration. The results show that they have different LGP values, but in general the longest LGP is distributed in dense canopy such as tropical rain forest and the shortest in rare canopies such as semi desert and desert. This study found that the remote sensed-derived NDVI data clearly demonstrated the difference LGP for the diverse vegetation types in Monsoon Asia.
Keywords: length of the growth period; vegetation types; NDVI; Monsoon Asia
Correspondence: Eleonora Runtunuwu, Kondoh Laboratory, Center for Environmental Remote Sensing(CEReS), Chiba University, 1-33 Yayoi, Inage, Chiba263-8522, Japan. Phone: +81-43-290-3834.
E-mail: nora[at]ceres.cr.chiba-u.ac.jp
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