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REFERENCES
Оглавление1 AghaKouchak, A., Cheng, L. Y., Mazdiyasni, O., & Farahmand, A. (2014). Global warming and changes in risk of concurrent climate extremes: Insights from the 2014 California drought. Geophys. Res. Lett., 41(24), 8847–8852.
2 AghaKouchak, A., Farahmand, A., Melton, F. S., Teixeira, J., Anderson, M. C., Wardlow, B. D., & Hain, C. R. (2015). Remote sensing of drought: Progress, challenges and opportunities. Reviews of Geophysics, 53(2), 452–480.
3 AghaKouchak, A., et al. (2021). Anthropogenic drought: definition, challenges, and opportunities. Reviews of Geophysics, 59. doi:10.1029/2019RG000683
4 Andaru, R., Rau, J. Y., Syahbana, D. K., Prayoga, A. S., & Purnamasari, H. D. (2021). The use of UAV remote sensing for observing lava dome emplacement and areas of potential lahar hazards: An example from the 2017–2019 eruption crisis at Mount Agung in Bali. J Volcanol Geoth Res, 415. doi:10.1016/j.jvolgeores.2021.107255
5 Andreas, H., Abidin, H. Z., Sarsito, D. A., & Pradipta, D. (2020). Remotes sensing capabilities on land subsidence and coastal water hazard and disaster studies. Fifth International Conferences of Indonesian Society for Remote Sensing: The Revolution of Earth Observation for a Better Human Life, 500. doi:10.1088/1755‐1315/500/1/012036
6 Argaz, A., Ouahman, B., Darkaoui, A., Bikhtar, H., Ayouch, E., & Lazaar, R. (2019). Flood hazard mapping using remote sensing and GIS Tools: A case study of Souss Watershed. Journal of Materials and Environmental Sciences, 10(2), 170–181.
7 Bech, J., & Chau, J. L. (2012). Doppler radar observations: Weather radar, wind profiler, ionospheric radar, and other advanced applications. Rijeka, Croatia: InTech.
8 Boni, G., De Angeli, S., Taramasso, A. C., & Roth, G. (2020). Remote sensing‐based methodology for the quick update of the assessment of the population exposed to natural hazards. Remote Sens., 12(23). doi:10.3390/rs12233943
9 Casas, A., Riano, D., Ustin, S. L., Dennison, P., & Salas, J. (2014). Estimation of water‐related biochemical and biophysical vegetation properties using multitemporal airborne hyperspectral data and its comparison to MODIS spectral response. Remote Sens. Environ., 148, 28–41.
10 Du, J., Kimball, J. S., & Jones, L. A. (2016). Passive microwave remote sensing of soil moisture based on dynamic vegetation scattering properties for AMSR‐E. IEEE Transactions on Geoscience and Remote Sensing, 54(1), 597–608.
11 Du, L., Mikle, N., Zou, Z. H., Huang, Y. Y., Shi, Z., Jiang, L. F., et al. (2018). Global patterns of extreme drought‐induced loss in land primary production: Identifying ecological extremes from rain‐use efficiency. Sci. Total Environ., 628–629, 611–620. doi:10.1016/j.scitotenv.2018.02.114
12 Dubovyk, O., Ghazaryan, G., Gonzalez, J., Graw, V., Low, F., & Schreier J. (2019). Drought hazard in Kazakhstan in 2000–2016: A remote sensing perspective. Environmental Monitoring and Assessment, 191(8). doi:10.1007/s10661‐019‐7620‐z
13 Ehrler, C., Seidel, K., & Martinec, J. (1997). Advanced analysis of snow cover based on satellite remote sensing for the assessment of water resources. Remote Sensing and Geographic Information Systems for Design and Operation of Water Resources Systems, 242, 93–101.
14 Elsadek, W. M., Ibrahim, M. G., & Mahmod, W. E. (2019). Runoff hazard analysis of Wadi Qena Watershed, Egypt based on GIS and remote sensing approach. Alex Eng J, 58(1), 377–385. doi:10.1016/j.aej.2019.02.001
15 Entekhabi, D., Njoku, E. G., O'Neill, P. E., Kellogg, K. H., Crow, W. T., Edelstein, W. N., et al. (2010). The soil moisture active passive (SMAP) mission. Proceedings of the IEEE, 98(5), 704–716.
16 Franci, F., Mandanici, E., & Bitelli, G. (2015). Remote sensing analysis for flood risk management in urban sprawl contexts. Geomatics, Natural Hazards and Risk, 6, 583–599. doi:10.1080/19475705.2014.913695
17 Fu, B. H., Shi, P. L., Wang, P., Li, Q., Kong, P., & Zheng, G. D. (2009). Geometry and kinematics of the 2008 Wenchuan earthquake surface ruptures around the Qushan Town of Beichuan County, Sichuan: Implications for mitigation of seismic and geologic disasters. Chinese Journal of Geophysics—Chinese Edition, 52(2), 485–495.
18 Gu, X. H., Zhang, Q., Li, J. F., Chen, D. L., Singh, V. P., Zhang, Y. Q., et al. (2020). Impacts of anthropogenic warming and uneven regional socio‐economic development on global river flood risk. J. Hydrol., 590. doi:10.1016/j.jhydrol.2020.125262
19 Gui, H. R., Qiu, H. L., Chen, Z. B., Ding, P. F., Zhao, H. H., & Li J. (2020). An overview of surface water hazards in China coal mines and disaster‐causing mechanism. Arab J Geosci, 13(2). doi:10.1007/s12517‐019‐5046‐0
20 Guo, H. D., Wang, X. Y., Li, X. W., Liu, G., Zhang, L., & Yan, S. Y. (2010). Yushu earthquake synergic analysis using multimodal SAR datasets. Chinese Science Bulletin, 55(31), 3499–3503. doi:10.1007/s11434‐010‐4078‐3
21 Haemmig, C., Huss, M., Keusen, H., Hess, J., Wegmuller, U., Ao, Z. G., & Kulubayi, W. (2014). Hazard assessment of glacial lake outburst floods from Kyagar glacier, Karakoram mountains, China. Annals of Glaciology, 55(66), 34–44. doi:10.3189/2014AoG66A001
22 He, B. S., Huang, X. L., Ma, M. H., Chang, Q. R., Tu, Y., Li, Q., Zhang, K., & Hong, Y. (2018). Analysis of flash flood disaster characteristics in China from 2011 to 2015. Nat Hazards, 90(1), 407–420.
23 Hong, H. Y., Chen, W., Xu, C., Youssef, A. M., Pradhan, B., & Bui, D. T. (2017). Rainfall‐induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy. Geocarto Int, 32(2), 139–154. doi:10.1080/10106049.2015.1130086
24 Huffman, G. J., Adler R. F., Bolvin D. T., Gu G. J., Nelkin E. J., Bowman K. P., et al. (2007). The TRMM multisatellite precipitation analysis (TMPA): Quasi‐global, multiyear, combined‐sensor precipitation estimates at fine scales. J. Hydrometeorol., 8(1), 38–55.
25 Huntington, T. G. (2010). Climate warming‐induced intensification of the hydrologic cycle: An assessment of the published record and potential impacts on agriculture. Adv Agron, 109, 1–53. doi:10.1016/S0065‐2113(10)09001‐2
26 IPCC (2013). Climate change 2013: The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press.
27 Islam, A. S., Bala, S. K., & Haque, M. A. (2010). Flood inundation map of Bangladesh using MODIS time‐series images. J Flood Risk Manag, 3(3), 210–222. doi:10.1111/j.1753‐318X.2010.01074.x
28 Jones, M. O., Jones, L. A., Kimball, J. S., & McDonald, K. C. (2011). Satellite passive microwave remote sensing for monitoring global land surface phenology. Remote Sens. Environ., 115(4), 1102–1114.
29 Kam, P. M., Aznar‐Siguan, G., Schewe, J., Milano, L., Ginnetti, J., Willner, S., et al. (2021). Global warming and population change both heighten future risk of human displacement due to river floods. Environmental Research Letters, 16(4). doi:10.1088/1748‐9326/abd26c
30 Kerr, Y. H., Waldteufel, P., Richaume, P., Wigneron, J. P., Ferrazzoli, P., Mahmoodi, A., et al. (2012). The SMOS soil moisture retrieval algorithm. IEEE Transactions on Geoscience and Remote Sensing, 50(5), 1384–1403.
31 Khaing, Z. M., Zhang, K., Sawano, H., Shrestha, B. B., Sayama, T., & Nakamura, K. (2019). Flood hazard mapping and assessment in data‐scarce Nyaungdon area, Myanmar. Plos One, 14(11), e0224558. doi:10.1371/journal.pone.0224558
32 Kirschbaum, D., Watson, C. S., Rounce, D. R., Shugar, D. H., Kargel, J. S., Haritashya, U. K., et al. (2019). The state of remote sensing capabilities of cascading hazards over high mountain Asia. Front Earth Sci, 7. doi:10.3389/feart.2019.00197
33 Kumar, C. S., Murugan, P. A., Krishnamurthy, R. R., Batvari, B.P.D., Ramanamurthy, M. V., Usha, T., & Pari, Y. (2008). Inundation mapping: A study based on December 2004 tsunami hazard along Chennai coast, Southeast India. Nat Hazard Earth Sys, 8(4), 617–626.
34 Lehnert, C., Karlsson, E., & Giannopapa, C. (2017). Global risk & global challenges: Space as a game changer for socioeconomic sustainable development. Acta Astronaut, 140, 59–65.
35 Lindell, D. B., & Long, D. G. (2016). High‐resolution soil moisture retrieval with ASCAT. IEEE Geosci. Remote Sensing Lett., 13(7), 972–976.
36 Lissak, C., Bartsch, A., De Michele, M., Gomez, C., Maquaire, O., Raucoules, D., & Roulland, T. (2020). Remote sensing for assessing landslides and associated hazards. Surveys in Geophysics, 41(6), 1391–1435. doi:10.1007/s10712‐020‐09609‐1
37 Makinano‐Santillan, M., Serviano J., Rubillos C. K., Amora A., Santillan J. R., Morales E. M., et al. (2019). Near‐real time hazard monitoring and information dissemination through integration of remote sensing, GIS, numerical modelling, web applications and social media. ISPRS Ann Photo Rem, 4‐3(W1), 25–32. doi:10.5194/isprs‐annals‐IV‐3‐W1‐25‐2019
38 Mätzler, C. (2006). Thermal microwave radiation: Applications for remote sensing. London: The Institute of Engineering and Technology.
39 Meng, Y. S., Lan, H. X., Li, L. P., Wu, Y. M., & Li, Q. W. (2015). Characteristics of surface deformation detected by X‐band SAR interferometry over Sichuan‐Tibet grid connection project area, China. Remote Sens., 7(9), 12265–12281.
40 Mitchard, E.T.A., Saatchi, S. S., Lewis, S. L., Feldpausch, T. R., Woodhouse, I. H., Sonke, B., et al. (2011). Measuring biomass changes due to woody encroachment and deforestation/degradation in a forest‐savanna boundary region of central Africa using multi‐temporal L‐band radar backscatter. Remote Sens. Environ., 115(11), 2861–2873.
41 Mu, Q., Heinsch F. A., Zhao, M., & Running, S. W. (2007). Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sens. Environ., 111(4), 519–536.
42 NASA (1987). Space‐based remote sensing of the Earth: A report to the Congress. Washington, D.C.: National Aeronautics and Space Administration.
43 Njoku, E. G. (2014). Encyclopedia of remote sensing. New York: Springer.
44 Njoku, E. G., Jackson, T. J., Lakshmi, V., Chan, T. K., & Nghiem, S. V. (2003). Soil moisture retrieval from AMSR‐E. IEEE Transactions on Geoscience and Remote Sensing, 41(2), 215–229.
45 Paprotny, D., Sebastian, A., Morales‐Napoles, O., & Jonkman, S. N. (2018). Trends in flood losses in Europe over the past 150 years. Nat Commun, 9.
46 Parinussa, R. M., Holmes, T. R., Wanders, N., Dorigo, W. A., & de Jeu, R. A. (2015). A preliminary study toward consistent soil moisture from AMSR2. Journal of Hydrometeorology, 16(2), 932–947.
47 Prabhakara, C., Meneghini, R., Short, D. A., Weinman, J. A., Iacovazzi, R., Oki, R., & Cadeddu M. (1998). A TRMM microwave radiometer rain retrieval method based on fractional rain area. Journal of the Meteorological Society of Japan, 76(5), 765–781.
48 Reichle, R., De Lannoy, G., Liu, Q., Ardizzone, J., Kimball, J., & Koster, R. (2016). SMAP Level 4 surface and root zone soil moisture. Paper presented at Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International.
49 Rosi, A., Tofani V., Tanteri L., Stefanelli C. T., Agostini A., Catani F., & Casagli N. (2018). The new landslide inventory of Tuscany (Italy) updated with PS‐InSAR: Geomorphological features and landslide distribution. Landslides, 15(1), 5–19. doi:10.1007/s10346‐017‐0861‐4
50 Roudier, P., Andersson, J.C.M., Donnelly, C., Feyen, L., Greuell, W., & Ludwig, F. (2016). Projections of future floods and hydrological droughts in Europe under a +2 degrees C global warming. Clim. Change, 135(2), 341–355.
51 Schmidt, R., et al. (2006). GRACE observations of changes in continental water storage. Global and Planetary Change, 50(1–2), 112–126.
52 Sheffield, J., Wood, E. F., & Roderick, M. L. (2012). Little change in global drought over the past 60 years. Nature, 491(7424), 435–438. doi:10.1038/nature11575
53 Sierra‐Soler, A., Adamowski, J., Malard, J., Qi, Z. M., Saadat, H., & Pingale, S. (2016). Assessing agricultural drought at a regional scale using LULC classification, SPI, and vegetation indices: Case study in a rainfed agro‐ecosystem in Central Mexico. Geomat Nat Haz Risk, 7(4), 1460–1488.
54 Sorooshian, S., Hsu, K. L., Gao, X., Gupta, H. V., Imam, B., & Braithwaite, D. (2000). Evaluation of PERSIANN system satellite‐based estimates of tropical rainfall. Bull. Am. Meteorol. Soc., 81(9), 2035–2046.
55 Su, C., Wang, L. L., Wang, X. Z., Huang, Z. C., & Zhang, X. C. (2015). Mapping of rainfall‐induced landslide susceptibility in Wencheng, China, using support vector machine. Nat Hazards, 76(3), 1759–1779.
56 Tapley, B. D., Bettadpur, S., Ries, J. C., Thompson, P. F., & Watkins, M. M. (2004). GRACE measurements of mass variability in the Earth system. Science, 305(5683), 503–505.
57 Wang, H. B., Ma, M. G., & Geng, L. Y. (2015). Monitoring the recent trend of aeolian desertification using Landsat TM and Landsat 8 imagery on the north‐east Qinghai‐Tibet Plateau in the Qinghai Lake basin. Nat Hazards, 79(3), 1753–1772.
58 Wear, S. L., Acuna, V., McDonald, R., & Font, C. (2021). Sewage pollution, declining ecosystem health, and cross‐sector collaboration. Biol Conserv, 255.
59 Weng, Q. (2017). Advances in environmental remote sensing: Sensors, algorithms, and applications. Boca Raton, FL: Taylor & Francis Group.
60 Wigneron, J.‐P., Jackson, T., O'neill, P., De Lannoy, G., De Rosnay, P., Walker, J., et al. (2017). Modelling the passive microwave signature from land surfaces: A review of recent results and application to the L‐band SMOS & SMAP soil moisture retrieval algorithms. Remote Sensing of Environment, 192, 238–262.
61 Wu, C. H., Yeh, P.J.F., Chen, Y. Y., Hu, B. X., & Huang, G. R. (2020). Future precipitation‐driven meteorological drought changes in the CMIP5 multimodel ensembles under 1.5 degrees C and 2 degrees C global warming. J. Hydrometeorol., 21(9), 2177–2196.
62 Xu, H. W., Windsor, M., Muste, M., & Demir, I. (2020). A web‐based decision support system for collaborative mitigation of multiple water‐related hazards using serious gaming. Journal of Environmental Management, 255. doi:10.1016/j.jenvman.2019.10988
63 Xu, Y. K., George, D. L., Kim, J., Lu, Z., Riley, M., Griffin, T., & de la Fuente, J. (2021). Landslide monitoring and runout hazard assessment by integrating multi‐source remote sensing and numerical models: An application to the Gold Basin landslide complex, northern Washington. Landslides, 18(3), 1131–1141. doi:10.1007/s10346‐020‐01533‐0
64 Zeng, Z. Y., Tang, G. Q., Long, D., Zeng, C., Ma, M. H., Hong, Y., et al.(2016). A cascading flash flood guidance system: Development and application in Yunnan Province, China. Nat Hazards, 84(3), 2071–2093.
65 Zhang, D., Zhang, Q., Qiu, J. M., Bai, P., Liang, K., & Li, X. H. (2018). Intensification of hydrological drought due to human activity in the middle reaches of the Yangtze River, China. Sci. Total Environ., 637, 1432–1442.
66 Zhang, K., Kimball, J. S., Hogg, E. H., Zhao, M., Oechel, W. C., Cassano, J. J., & Running, S. W. (2008). Satellite‐based model detection of recent climate‐driven changes in northern high‐latitude vegetation productivity. J. Geophys. Res., 113, G03033. doi:10.1029/2007JG000621
67 Zhang, K., Kimball, J. S., Nemani, R. R., & Running, S. W. (2010). A continuous satellite‐derived global record of land surface evapotranspiration from 1983 to 2006. Water Resour. Res., 46, W09522. doi:10.1029/2009WR008800
68 Zhang, K., et al. (2015). The fate of Amazonian ecosystems over the coming century arising from changes in climate, atmospheric CO2 and land‐use. Global Change Biol., 21(7), 2569–2587. doi:10.1111/gcb.12903
69 Zhang, K., Xue, X. W., Hong, Y., Gourley, J. J., Lu, N., Wan, Z. M., et al. (2016). iCRESTRIGRS: A coupled modeling system for cascading flood‐landslide disaster forecasting. Hydrol. Earth Syst. Sci., 20(12), 5035–5048.
70 Zhang, Q. Q., C. Xing, Y. Y. Cai, X. T. Yan, and G. G. Ying (2021). How much do human and livestock actually contribute to steroids emission and surface water pollution from past to the future: A global research. Sci. Total Environ., 772. doi:10.1016/j.scitotenv.2021.145558
71 Zhang, Y. Q., et al. (2016). Multi‐decadal trends in global terrestrial evapotranspiration and its components. Scientific Reports, 6, 19124. doi:10.1038/srep19124
72 Zhou, X., Matthes, H., Rinke, A., Klehmet, K., Heim, B., Dorn, W., et al. (2014). Evaluation of arctic land snow cover characteristics, surface albedo, and temperature during the transition seasons from regional climate model simulations and satellite data. Adv Meteorol. doi:10.1155/2014/604157