Digital Interpretability of Annual Tile-based Mosaic of Landsat-8 OLI for Time-series Land Cover Analysis in the Central Part of Sumatra
Ratih Dewanti Dimyati(1*), Projo Danoedoro(2), Hartono Hartono(3), Kustiyo Kustiyo(4), Muhammad Dimyati(5)
(1) Gadjah Mada University; and LAPAN
(2) Gadjah Mada University
(3) Gadjah Mada University
(4) LAPAN
(5) Directorate General of Strengthening for Research and Development, Ministry of Research, Technology and Higher Education; and University of Indonesia
(*) Corresponding Author
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Andie Setiyoko, Riyan Mahendra Saputra, Abdul Asyiri, Gusti Dharma, & Yudha. (2016). Analisis Kesesuaian Pelayanan Data Penginderaan Jauh Terhadap Kebutuhan Pengguna (in Bahasa). In Seminar Nasional Penginderaan Jauh 2016 (pp. 424–527). Retrieved from www.lapan.go.id
Badan Standardisasi Nasional (BSN). SNI 7645:2010: Klasifikasi penutup lahan (in Bahasa), Pub. L. No. SNI 7645: 2010, SNI 7645:2 28 (2010). Jakarta, Indonesia.
Badan Standardisasi Nasional (BSN). SNI 8033:2014: Metode penghitungan perubahan tutupan hutan berdasarkan hasil penafsiran citra penginderaan jauh optik secara visual (in Bahasa), Pub. L. No. SNI 8033:2014, 9 (2014). Jakarta, Indonesia.
Badan Standarisasi Nasional (BSN). RSNI-1 (2015): Kelas Penutupan Lahan dalam Penafsiran Citra Optis Resolusi Sedang (in Bahasa), Pub. L. No. RSNI-1 ICS, 17. Indonesia.
Belinda Arunarwati Margono; Peter V. Potapov; Svetlana Turubanova; Fred Stolle; Matthew C. Hansen (2014). Primary forest cover loss in Indonesia over 2000–2012. Nature Climate Change, 4(August), 730–735. https://doi.org/10.1038/NCLIMATE2277
Bodart, C., Eva, H., Beuchle, R., Raši, R., Simonetti, D., Stibig, H. J., Achard, F. (2011). Pre-processing of a sample of multi-scene and multi-date Landsat imagery used to monitor forest cover changes over the tropics. ISPRS Journal of Photogrammetry and Remote Sensing, 66(5), 555–563. https://doi.org/10.1016/j.isprsjprs.2011.03.003
Broich, M., Hansen, M. C., Potapov, P., Adusei, B., Lindquist, E., & Stehman, S. V. (2011). Time-series analysis of multi-resolution optical imagery for quantifying forest cover loss in Sumatra and Kalimantan, Indonesia. International Journal of Applied Earth Observation and Geoinformation, 13 (2), 277–291. https://doi.org/10.1016/j.jag. 2010.11.004
Centre for Remote Imaging, Sensing and Processing (CRISP). (2001). Cloud-Free Mosaics. Retrieved March 9, 2017, from https://crisp.nus.edu.sg/~research/cloudfree_mosaic/ cloudfree_mosaic.htm
Costa, H., Foody, G. M., & Boyd, D. S. (2018). Supervised methods of image segmentation accuracy assessment in land cover mapping. Remote Sensing of Environment, 205 (December 2017), 338–351. https://doi.org/10.1016/j.rse.2017.11.024
Costachioiu, T., Lazarescu, V., & Datcu, M. (2011). Classification of scene evolution patterns from satellite Image Time Series based on spectro-temporal signatures. ISSCS 2011 - International Symposium on Signals, Circuits and Systems, Proceedings, 305–308. https://doi.org/10.1109/ISSCS.2011.5978721
Danoedoro, P. (2012). Pengantar Penginderaan Jauh Digital (in Bahasa) (First). Yogyakarta: Andi Offset.
De Vries, C., Danaher, T., Denham, R., Scarth, P., & Phinn, S. (2007). An operational radiometric calibration procedure for the Landsat sensors based on pseudo-invariant target sites. Remote Sensing of Environment, 107(3), 414–429. https://doi.org/10.1016/ j.rse.2006.09.019
Dimyati, R. D., Danoedoro, P., Hartono, Kustiyo (2018). A Minimum Cloud Cover Mosaic Image Model of the Operational Land Imager Landsat-8 Multitemporal Data using Tile based. International Journal of Electrical and Computer Engineering, 8 (1). https://doi.org/10.11591/ijece.v8i1.pp360-371
Dimyati M., Dimyati RD, Kustiyo, Danoedoro P., Hartono. (2018). Interpretability Evaluation of Annual Multitemporal Tile Based Mosaic of Landsat-8 Operational Land Imager for Land Cover Changes Analysis in the Central Part of Sumatra. Telkomnika, Vol. 16/03 (June 2018), 1–14. https://doi.org/http://dx.doi.org/10.12928/ telkomnika.v16i3.9331
Furby, S. (2002). National carbon accounting system Land Cover Change Specification for Remote Sensing Analysis, Technical Report No. 9. Canberra.
Furby, S. L., Caccetta, P. A., Wu, X., A., & Chia, J. (2006). Continental Scale Land Cover Change Monitoring in Australia using Landsat Imagery. CSIRO Mathematical and Information Sciences.
Gastellu-Etchegorry, J. P. (1988). Monthly Probabilities For Acquiring Remote Sensed Data of Indonesia with Cloud Cover Less than 10, 20 and 30 Percent. The Indonesian Journal of Geography, 18 (55), 11–28.
Ghosh, D., & Kaabouch, N. (2016). A survey on image mosaicing techniques. Journal of Visual Communication and Image Representation, 34, 1–11. https://doi.org/10.1016/j.jvcir.2015.10.014
Gómez, C., White, J. C., & Wulder, M. A. (2016). Optical remotely sensed time series data for land cover classification: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 116, 55–72. https://doi.org/10.1016/j.isprsjprs.2016.03.008
Gu, J., Chen, J., Zhou, Q. M., Zhang, H. W., & Ma, L. (2008). Quantitative Textural Parameter Selection for Residential Extraction from High-Resolution Remotely Sensed Imagery. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008 ⎧, Vol. XXXVI (2008), 1371–1376.
Guo, Y., Li, F., Caccetta, P., And, D. D., & Berman, M. (2016). Cloud Filtering for Landsat TM Satellite Images Using Multiple Temporal Mosaicing. IEEE IGARSS 2016, 7240–7243.
Hansen, M. C., & Loveland, T. R. (2012). A review of large area monitoring of land cover change using Landsat data. Remote Sensing of Environment, 122, 66–74. https://doi.org/10.1016/j.rse.2011.08.024
Hansen, M. C., Roy, D. P., Lindquist, E., Adusei, B., Justice, C. O., & Altstatt, A. (2008). A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo Basin. Remote Sensing of Environment, 112 (5), 2495–2513. https://doi.org/10.1016/j.rse.2007.11.012
Islam, K., Jashimuddin, M., Nath, B., & Nath, T. K. (2016). Land use classification and change detection by using multi-temporal remotely sensed imagery: The case of Chunati wildlife sanctuary, Bangladesh. Egyptian Journal of Remote Sensing and Space Science, 21 (1), 37–47. https://doi.org/10.1016/j.ejrs.2016.12.005
Kevin Butler. (2018). Band Combinations for Landsat 8. Retrieved from https://blogs.esri.com/esri/arcgis/2013/07/24/band-combinations-for-landsat-8/
Kushardono, D., & Dewanti, R. (2016). Pemetaan Kebutuhan Sensor Optik Satelit Penginderaan Jauh di Indonesia (The Mapping of Remote Sensing Satellite Optical Sensor Needs in Indonesia) (in Bahasa). Majalah Inderaja, VII(9 Edisi November 2016), 20–27.
Kustiyo. (2016). Development of Annual Landsat 8 Composite Over Central Kalimantan, Indonesia Using Automatic Algorithm to Minimize Cloud. International Journal of Remote Sensing and Earth Sciences, 13 (1), 51–58.
Kustiyo, Dewanti, R., & Lolitasari, I. (2014). Pengembangan Metode Koreksi Radiometrik Citra SPOT 4 Multi-Spektral dan Multi-Temporal untuk Mosaik Citra. In Seminar Nasional Penginderaan Jauh 2014 (pp. 79–87).
Kustiyo, Roswintiarti, O., Tjahjaningsih, A., Dewanti, R., Furby, S., & Wallace, J. (2015). Annual forest monitoring as part of the Indonesia’s National Carbon Accounting System. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40 (7W3), 441–448. https://doi.org/10.5194/ isprsarchives-XL-7-W3-441-2015
M. Dabboor; S. Howell; M. Shokr; J. Yackel. (2014). The Jeffries – Matusita distance for the case of complex Wishart distribution as a separability criterion for fully polarimetric SAR data. International Journal of Remote Sensing, 35(19), 6859–6873. https://doi.org/10.1080/01431161.2014.960614
Ma, L., Li, M., Ma, X., Cheng, L., Du, P., & Liu, Y. (2017). A review of supervised object-based land-cover image classification. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 277–293. https://doi.org/10.1016/j.isprsjprs.2017.06.001
Margono, B. A., Usman, A. B., Budiharto, & Sugardiman, R. A. (2016). Indonesia ’ s Forest Resource Monitoring. Indonesian Journal of Geography, 48(1), 7–20.
Mausel, P. W., Kramber, W. J., & Lee, J. K. (1990). Optimum Band Selection for Supervised Classification of Multispectral Data, 56(1), 55–60.
Mitchell, A. L., Milne, A., Tapley, I., Lowell, K., Caccetta, P., Lehmann, E., Held, A. (2011). Interoperability of radar and optical data for forest information assessment. International Geoscience and Remote Sensing Symposium (IGARSS), 1397–1400. https://doi.org/10.1109/IGARSS.2011.6049327
Mitchell A.L, Williams M, Tapley I, Milne A.K. (2012). Interoperability of Multi-Frequency SAR Data for Forest Information Extraction in Support of National MRV Systems. IEEE IGARSS 2012, 978-1–4673, 3166–3169.
Mouginis-mark, P. J., Owensby, P., Chellis, C., & Lo, J. (2001). Cloud-Free Satellite Mosaics for Disaster Management, 00(C), 822–823.
Roswintiarti Orbita, Ratih Dewanti, Furby Suzanne, Wallace Jeremy (2015). The Remote Sensing Monitoring Program of Indonesia’s National Carbon Accounting System: Methodology and Products. Jakarta.
Peacock, R. (2014). Land Cover Classification, Accuracy Assessment of Supervised and Unsupervised Classification Using Landsat Imagery of Little Rock, Arkansas. Northwest Missouri State University Master Thesis.
Presiden Republik Indonesia. Undang-undang Republik Indonesia Nomor 4 Tahun 2011 tentang Informasi Geospasial (in Bahasa), No. NOMOR 4 TAHUN 2011 (2011).
Presiden Republik Indonesia. Peraturan Pemerintah Republik Indonesia Nomor 8 Tahun 2013 tentang Ketelitian Peta Rencana Tata Ruang (in Bahasa), PP No 8 Tahun 2013 (2013).
Presiden Republik Indonesia. Undang-undang Republik Indonesia Nomor 21 Tahun 2013 tentang Keantariksaan (in Bahasa), NOMOR 21 TAHUN 2013 (2013). Indonesia. Retrieved from www.lapan.go.id
Presiden Republik Indonesia. Undang-undang Republik Indonesia Nomor 6 tahun 2014 tentang Desa (in Bahasa), Presiden Republik Indonesia (2014). https://doi.org/10.1017/ CBO9781107415324.004
Presiden Republik Indonesia. Undang Undang Republik Indonesia Nomor 20 Tahun 2015 tentang Standardisasi dan Penilaian Kesesuaian (in Bahasa) (2014). Indonesia.
Presiden Republik Indonesia. Peraturan Presiden Republik Indonesia Nomor 9 Tahun 2016 tentang Percepatan Pelaksanaan Kebijakan Satu Peta pada Tingkat Ketelitian Peta Skala 1: 50.000 (in Bahasa), Pub. L. No. No 9 Year 2016 (2016).
Presiden Republik Indonesia. Peraturan Pemerintah Nomor 11 Tahun 2018 tentang Tata Cara Penyelenggaraan Kegiatan Penginderaan Jauh, No. PP No 11 Tahun 2018, 45 (in Bahasa) (2018). Indonesia.
Queensland Department of Science, Information Technology (2014). Land cover change in Queensland 2010–11: a Statewide Landcover and Trees Study (SLATS) report. Brisbane.
Richards, J. A., & Jia, X. (2006). Remote Sensing Digital Image Analysis, An Introduction 4th (4th Editio). Canberra: Springer.
Setiawan, Y., Lubis, M. I., Yusuf, S. M., & Prasetyo, L. B. (2015). Identifying Change Trajectory over the Sumatra’s Forestlands Using Moderate Image Resolution Imagery. Procedia Environmental
Sciences, 24, 189–198. https://doi.org/10.1016/j.proenv. 2015.03.025
Sonobe, R., Tani, H., & Wang, X. (2017). An experimental comparison between KELM and CART for crop classification using Landsat-8 OLI data. Geocarto International, 32 (2), 128–138. https://doi.org/10.1080/10106049.2015.1130085
Sutanto (2013). Metode Penelitian Penginderaan Jauh (in Bahasa). Badan Penerbit Fakultas Geografi Universitas Gadjah Mada, Penerbit Ombak Yogyakarta.
USGS. (2018). Landsat Missions How do Landsat 8 band combinations differ from Landsat 7 or Landsat 5 satellite data? USGS. Retrieved from https://landsat.usgs.gov/how-do-landsat-8-band-combinations-differ-landsat-7- or-landsat-5-satellite-data
USGS. (2015). Landsat Mission, What are the best spectral bands to use for my study?
Wijaya, A., Sugardiman, R. A., Budiharto, B., Tosiani, A., Murdiyarso, D., & Verchot, L. V. (2015). Assessment of large scale land cover change classifications and drivers of deforestation in Indonesia. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40 (7W3), 557–562. https://doi.org/10.5194/isprsarchives-XL-7-W3-557-2015
Wulansari, H. (2017). Uji Akurasi Klasifikasi Penggunaan Lahan dengan Menggunakan Metode Defuzzifikasi Maximum Likelihood Berbasis Citra ALOS AVNIR-2 (in Bahasa). Bhumi, 3–No 1 (Mei), 98–110.
Zhongyang, L., Zixuan, D., Huailiang, C., & Chunhui, Z. (2011). Study on the Land Use and Cover Classification of Zhengzhou Based on Decision Tree.
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