Contribution of MODIS NDVI 250 m Multi-Temporal Imagery Dataset for the Detection of Natural Forest Distribution of Java Island, Indonesia
- 1 Department of Landscape Architecture, Faculty of Agriculture, Bogor Agricultural University (IPB), Bogor, Indonesia
- 2 Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan
Abstract
As landmass of the world is covered by vegetation, taking into account phenology when performing land cover classification may yield more accurate maps. The availability of no-cost Moderate Resolution Imaging Spectrometer (MODIS) NDVI dataset that provides high-quality continuous time series data is representing a potentially significant source of land cover information especially for detection natural forest distribution. This study intends to assess the advantage of MODIS 250 m Normalized Difference Vegetation Index (NDVI) multi-temporal imagery for detection of densely vegetation cover distribution in Java and then for identification of remaining natural forest in Java from densely vegetation cover distribution. Result of this study successfully demonstrated the contribution of MODIS NDVI 250 m for detection the natural forest distribution in Java Island. Therefore, the approach described herein provided classification accuracy comparable to those of maps derived from higher resolution data and will be a viable alternative for regional or national classifications.
- H.L. Dale, L.A. Joyce, S. McNulty, R.P. Neilson, ”The interplay between climate change, forests, and disturbances,” The Science of the Total Environment, Vol. 262, 2000, pp. 201-204. doi:10.1016/S0048-9697(00)00522-2
- FAO, “Global Forest Resources Assessment: Key Findings,” Food and Agricultural Organization of the United Nations, Rome, Italy, 2010.
- World Bank, “A revised forest strategy for the World Bank Group,” Washington, DC, USA, World Bank, 2001.
- C. Probert, S. Sharrock and N. Ali, “A REDD+ manual for botanic gardens,” Botanic Gardens Conservation International (BGCI), Richmond, United Kingdom & Royal Botanic Gardens, Kew, London, United Kingdom, 2011.
- R. Lubowski, “What are the costs and potentials of REDD,” In: Angelsen, A, Ed., Moving Ahead with REDD: Issues, Options and Implication. Subur Printing, Indonesia CIFOR, 2008.
- B.C. Reed, J.F, Brown, D. VanderZee, T.L. Loveland, J.W. Merchant, D.O. Ohlen, “Measuring phonological variability from satellite imagery,” Journal of Vegetation Science Vol: 5, 1994, pp. 703-714. doi:10.2307/3235884
- T.R. Loveland, B.C. Reed, J.F. Brown, D.O. Ohlen, Z. Zhu, L. Yang, J.W. Merchant, “Development of global land cover characteristics database and IGBP discover from 1 km AVHRR data,” International Journal of Remote Sensing, Vol. 21, 2000, pp.1303-1330. doi:10.1080/014311600210191
- G.B. Senay, R.L. Elliot, “Combining AVHRR-NDVI and land use data to describe temporal and spatial dynamics of vegetation,” Forest Ecology and Management Vol:128, 2000, pp: 83-91. doi:10.1016/S0378-1127(99)00275-3
- J.F. Knight, R.L. Lunetta, J. Ediriwickrema, S. Khorram,” Regional scale land cover characterization using MODIS NDVI 250 m multi-temporal imagery: A phenology-based approach,” GIScience and Remote Sensing, Vol: 43 No. 1, 2006, pp. 1-23. doi:10.2747/1548-1603.43.1.1
- R.S. Lunetta, J.F. Knight, J. Ediriwickrema, J.G. Lyon, L.D. Worthy, L.D., “Land-cover change detection using multi-temporal MODIS NDVI data,”. Remote Sensing of Environment, Vol: 105, 2006, pp. 142-154. doi:10.1016/j.rse.2006.06.018
- T. Whitten, R.E, Soeriaatmadja and S.A. Afiff, “The ecology of Java and Bali: the ecology of Indonesia series,” Vol. 2, Periplus Editions, Singapore, 1996.
- Y. Wada, W. Ohira, “Reconstruction cloud free SPOT/VEGETATION using harmonic analysis with local maximum fitting,” 2004. http://www.microimages.com/papers/ACRS25.pdf