PEMANFAATAN FUSI DATA SATELIT LAPAN-A3/IPB DAN LANDSAT 8 UNTUK MONITORING LAHAN SAWAH
Abstract
Increasing of economic development is generally followed by the change of landuse from agriculture to other function. If it occurs in large frequency and amount, it will threaten national food security. Therefore, it is necessary to monitor the agricultural land, especially paddy fields regarding to changes in landuse and global climate. Utilization and development of satellite technology is necessary to provide more accurate and independent database for agricultural land monitoring, especially paddy fields. This study aims to develop a utilization model for LAPAN-IPB satellite (LISAT) and other several satellites data that have been used for paddy field monitoring. This research is conducted through 2 stages: 1) Characterization LISAT satellite data to know spectral variation of paddy field, and 2) Development method of LISAT data fusion with other satellites for paddy field mapping. Based on the research results, the characteristics Red and NIR band in LISAT data imagery have a good correlation with Red and NIR band in LANDSAT 8 OLI data imagery, especially to detect paddy field in the vegetative phase, compared to other bands. Observation and measurement of spectral values using spectroradiometer need to be conducted periodically (starting from first planting season) to know the dynamics of the change related to the growth phase of paddy in paddy field. Pre-processing of image data needs to be conducted to obtain better LISAT data characterization results. Furthermore, it is necessary to develop appropriate algorithms or methods for geometric correction as well as atmospheric correction of LISAT data.
References
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[2] Arifin M.T., Liyantono, Y. Setiawan, A. Fatikhunnada, 2016. Processing System of MODIS Data for Monitoring the Changes of Paddy Field. Procedia Environmental Sciences 33, pp. 3013.
[3] Chander, G., B.L. Markham, D.L. Helder, 2009. Summary of Current Radiometric Calibration Coefficients forLandsat MSS, TM, ETM+, and EO-1 ALI Sensors. Remote Sensing of Environment 113(5), pp. 893-903.
[4] Huete A., K. Didan, T. Miura, E.P. Rodriguez, X. Gao, L.G. Ferreira. 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment 83, pp. 195-213
[5] Lillesand T. M. dan R.W. Kiefer, 1997. Penginderaan Jauh dan Interpretasi Citra. Dulbahri, Prapto Suharsono, Hartono, Suharyadi, Penerjemah. Terjemahan dari: Re-mote Sensing and Image Interpretation. Gajah Mada University Press, Yogyakarta.
[6] Pradipta D., 2012. Analisis Data Time Series NDVI-SPOT Vegetation Untuk Tanaman Padi (Studi Kasus: Kabupaten Karawang). Institut Pertanian Bogor, Bogor.
[7] Ryan L., 1997. Creating a Normalized Difference Vege-tation Index (NDVI) image Using MultiSpec. University of New Hampshire
[8] Sakamoto T, M. Yokozawa, H. Toritani, M. Shibayama, N. Ishitsuka, H. Ohno, 2005. A crop phenology detection method using time-series MODIS data. Journal of Remote Sensing of Environment 96, pp. 366-374.
[9] Setiawan, Y., and K. Yoshino, 2013. Detecting land use change from seasonal vegetation dynamics in regional scale with MODIS EVI 250 m time-series imagery. Journal of Land Use Science 7 (1), pp. 1-27.
[10] Setiawan, Y., K. Yoshino, and L. B. Prasetyo, 2014. Characterizing the dynamics change of vegetation cover on tropical forestlands using 250 m multi-temporal MODIS EVI. International Journal of Applied Earth Ob-servation and Geoinformation 26, pp.132-144.
[11] Xiong X., W. Barnes, 2006. MODIS Calibration and Characterization. In: Qu J.J., Gao W., Kafatos M., Murphy R.E., Salomonson V.V. (eds) Earth Science Satellite Remote Sensing. Springer, Berlin, Heidelberg
Authors
SetiawanY., PrasetyoL. B., PawitanH., LiyantonoL., SyartiniliaS., WijayantoA. K., PermatasariP. A., SyafrudinA. H. and HakimP. R. (2018) “PEMANFAATAN FUSI DATA SATELIT LAPAN-A3/IPB DAN LANDSAT 8 UNTUK MONITORING LAHAN SAWAH”, Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management). Bogor, ID, 8(1), pp. 67-76. doi: 10.29244/jpsl.8.1.67-76.
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