1 |
Ahamed, A. and J.D. Bolten, 2017. A MODIS-based automated flood monitoring system for southeast asia, International Journal of Applied Earth Observation and Geoinformation, 61: 104-117.
DOI
|
2 |
Atif, I., M.A. Mahboob, and A. Waheed, 2015. Spatio-temporal mapping and multi-sector damage assessment of 2014 flood in Pakistan using remote sensing and GIS, Indian Journal of Science and Technology, 8(35): 1-18.
|
3 |
Coltin, B., S. McMichael, T. Smith, and T. Fong, 2016. Automatic boosted flood mapping from satellite data, International Journal of Remote Sensing, 37(5): 993-1015.
DOI
|
4 |
Fayne, J.V., J.D. Bolten, C.S. Doyle, S. Fuhrmann, M.T. Rice, P.R. Houser, and V. Lakshmi, 2017. Flood mapping in the lower Mekong River Basin using daily MODIS observations, International Journal of Remote Sensing, 38(6): 1737-1757.
DOI
|
5 |
Hoshikawa, K., Y. Fujihara, H. Fujii, and S. Yokoyama, 2016. Detecting Flooding Trends in the Mekong Delta through Flood Ranking Based on a MODIS-derived Time-series Water Index, International Journal of Remote Sensing Applications, 6: 136-145.
DOI
|
6 |
Huang, C., Y. Chen, and J. Wu, 2014. Mapping spatio-temporal flood inundation dynamics at large river basin scale using time-series flow data and MODIS imagery, International Journal of Applied Earth Observation and Geoinformation, 26: 350-362.
DOI
|
7 |
Islam, M.M. and K. Sado, 2000. Flood hazard assessment in Bangladesh using NOAA AVHRR data with geographical information system, Hydrological Processes, 14(3): 605-620.
DOI
|
8 |
Islam, A.S., S.K. Bala, and M. Haque, 2010. Flood inundation map of Bangladesh using MODIS time series images, Journal of Flood Risk Management, 3(3): 210-222.
DOI
|
9 |
Khan, S.I., Y. Hong, J. Wang, K.K. Yilmaz, J.J. Gourley, R.F. Adler, G.R. Brakenridge, F. Policelli, S. Habib, and D. Irwin, 2011. Satellite remote sensing and hydrologic modeling for flood inundation mapping in Lake Victoria basin: Implications for hydrologic prediction in ungauged basins, IEEE Transactions on Geoscience and Remote Sensing, 49(1): 85-95.
DOI
|
10 |
Jain, S.K., A.K. Saraf, A. Goswami, and T. Ahmad, 2006. Flood inundation mapping using NOAA AVHRR data, Water Resources Management, 20(6): 949-959.
DOI
|
11 |
Korea International Cooperation Agency (KOICA), 2015. Reference Paper on the Flood Protection and Control Master Planning Project for the Sebou River Basin in Morocco, KOICA, Seongnam-si, Gyeonggi-do, KOREA.
|
12 |
Kwak, Y., B. Arifuzzanman, and Y. Iwami, 2015. Prompt proxy mapping of flood damaged rice fields using MODIS-derived indices, Remote Sensing, 7(12): 15969-15988.
DOI
|
13 |
Lee, K.S. and S.I. Lee, 2003. Assessment of post-flooding conditions of rice fields with multi-temporal satellite SAR data, International Journal of Remote Sensing, 24(17): 3457-3465.
DOI
|
14 |
Mohammadi, A., J.F. Costelloe, and D. Ryu, 2017. Application of time series of remotely sensed normalized difference water, vegetation and moisture indices in characterizing flood dynamics of large-scale arid zone floodplains, Remote sensing of Environment, 190: 70-82.
DOI
|
15 |
Rogers, A. and M. Kearney, 2004. Reducing signature variability in unmixing coastal marsh Thematic Mapper scenes using spectral indices, International Journal of Remote Sensing, 25(12): 2317-2335.
DOI
|
16 |
Sakamoto, T., N. Van Nguyen, A. Kotera, H. Ohno, N. Ishitsuka, and M. Yokozawa, 2007. Detecting temporal changes in the extent of annual flooding within the Cambodia and the Vietnamese Mekong Delta from MODIS time-series imagery, Remote Sensing of Environment, 109(3): 295-313.
DOI
|
17 |
Wiesnet, D. and M. Deutsch, 1987. Flood monitoring in South America from the Landsat NOAA and nimbus satellites, Advances in Space Research, 7(3): 77-84.
DOI
|
18 |
Sheng, Y., P. Gong, and Q. Xiao, 2001. Quantitative dynamic flood monitoring with NOAA AVHRR, International Journal of Remote Sensing, 22(9): 1709-1724.
DOI
|
19 |
Wang, Q., M. Watanabe, S. Hayashi, and S. Murakami, 2003. Using NOAA AVHRR data to assess flood damage in China, Environmental monitoring and assessment, 82(2): 119-148.
DOI
|