Automatic Geographic Information System algorithm for temporal mangrove observation: A case study in Gopek Beach, North Banten
Abstract
Keywords
Full Text:
PDFReferences
Ahmad, T. E., Cahya, G. R. D., & Lestari, D. A. (2020). Penggunaan sistem informasi geografi untuk mencari lokasi yang tepat sebagai penyimpanan energi hydro terpompa. Jurnal Georafflesia: Artikel Ilmiah Pendidikan Geografi, 5, 68–79.
Akbar, M. R., Arisanto, P. A. A., Sukirno, B. A., Merdeka, P. H., Priadhi, M. M., & Zallesa, S. (2020). Mangrove vegetation health index analysis by implementing NDVI (normalized difference vegetation index) classification method on sentinel-2 image data case study: Segara Anakan, Kabupaten Cilacap. IOP Conference Series: Earth and Environmental Science, 584(1), 12069. IOP Publishing.
Aredehey, G., Mezgebu, A., & Girma, A. (2018). Land-use land-cover classification analysis of Giba catchment using hyper temporal MODIS NDVI satellite images. International Journal of Remote Sensing, 39(3), 810–821.
Barnuevo, A., & Asaeda, T. (2018). Integrating the ecophysiology and biochemical stress indicators into the paradigm of mangrove ecology and a rehabilitation blueprint. PLoS One, 13(8), e0202227.
Chakraborty, A., Seshasai, M. V. R., Reddy, C. S., & Dadhwal, V. K. (2018). Persistent negative changes in seasonal greenness over different forest types of India using MODIS time series NDVI data (2001–2014). Ecological Indicators, 85, 887–903.
Deus, D., & Gloaguen, R. (2013). Remote sensing analysis of lake dynamics in semi-arid regions: Implication for water resource management Lake Manyara, East African Rift, Northern Tanzania. Water, 5(2), 698–727.
Fisher, J. R. B., Acosta, E. A., Dennedy‐Frank, P. J., Kroeger, T., & Boucher, T. M. (2018). Impact of satellite imagery spatial resolution on land use classification accuracy and modeled water quality. Remote Sensing in Ecology and Conservation, 4(2), 137–149.
Gandhi, G. M., Parthiban, S., Thummalu, N., & Christy, A. (2015). Ndvi: Vegetation change detection using remote sensing and gis–A case study of Vellore District. Procedia Computer Science, 57, 1199–1210.
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27.
Miao, J., Zhou, X., Huang, T. Z., Zhang, T., & Zhou, Z. (2019). A novel inpainting algorithm for recovering Landsat-7 ETM+ SLC-OFF images based on the low-rank approximate regularization method of dictionary learning with nonlocal and nonconvex models. IEEE Transactions on Geoscience and Remote Sensing, 57(9), 6741–6754.
Nybakken, J. W. (2001). Marine biology: an ecological approach (Vol. 5). Benjamin Cummings San Francisco.
Purba, A., Kesumawati, D., Rambe, T. R., Zuliani, U. S., & Parinduri, W. M. (2020). Pengelolaan ekosistem hutan mangrove dengan memperhatikan kualitas air ditinjau dari sifat kimia di Desa Jaring Halus Langkat. Jurnal Pengabdian Kepada Masyarakat, 1(2), 54–59.
Sadiq, A., Edwar, L., & Sulong, G. (2017). Recovering the large gaps in Landsat 7 SLC-off imagery using weighted multiple linear regression (WMLR). Arabian Journal of Geosciences, 10(18), 1–14.
Shermeyer, J., & Van Etten, A. (2019). The effects of super-resolution on object detection performance in satellite imagery. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 0.
Sohail, U., Khan, I. A., & Arsalan, M. H. (2020). Analysis the potential of vegetation indices (NDVI) for land use/cover classification in Karachi by landsat 8 data. International Journal of Biology and Biotechnology, 17.
Susantoro, T. M., Wikantika, K., Yayusman, L. F., Tan, A., & Ghozali, M. F. (2020). Monitoring of mangrove growth and coastal changes on the North Coast of Brebes, Central Java, Using Landsat Data. International Journal of Remote Sensing and Earth Sciences (IJReSES), 16(2), 197–214.
Swets, D., Reed, B. C., Rowland, J., & Marko, S. E. (1999). A weighted least-squares approach to temporal NDVI smoothing. From Image to Information: 1999 ASPRS Annual Conference.
Takarendehang, R., Sondak, C. F. A., Kaligis, E., Kumampung, D., Manembu, I. S., & Rembet, U. N. W. J. (2018). Kondisi ekologi dan nilai manfaat hutan mangrove di Desa Lansa, Kecamatan Wori, Kabupaten Minahasa Utara. Jurnal Pesisir Dan Laut Tropis, 2.
Tamiminia, H., Salehi, B., Mahdianpari, M., Quackenbush, L., Adeli, S., & Brisco, B. (2020). Google Earth Engine for geo-big data applications: A meta-analysis and systematic review. ISPRS Journal of Photogrammetry and Remote Sensing, 164, 152–170.
Zhu, Z. (2019). Science of landsat analysis ready data. Remote Sensing, 11(8), 2166.
DOI: http://dx.doi.org/10.17977/um017v27i22022p163-174
Refbacks
- There are currently no refbacks.
Copyright (c) 2022 Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi is licensed under Creative Commons Attribution-ShareAlike 4.0 International License,
JPG Indexed By:
View My Stats