Comparison and Analysis of Drought Index based on MODIS Satellite Images and ASOS Data for Gyeonggi-Do |
Yu-Jin, KANG
(Department of Civil Engineering, Inha University)
Hung-Soo, KIM (Department of Civil Engineering, Inha University) Dong-Hyun, KIM (Department of Civil Engineering, Inha University) Won-Joon, WANG (Department of Civil Engineering, Inha University) Han-Eul, LEE (Department of Civil Engineering, Inha University) Min-Ho, SEO (Geospatial Research Center, GEO C&I., Co., Ltd.) Yun-Jae, CHOUNG (Geospatial Research Center, GEO C&I., Co., Ltd.) |
1 | Anderson, M.C., Hain, C., Wardlow, B., Pimsetin, A., Mecikalski, J.R., and Kustas, W.P. 2011. Evaluation of Drought Indices Based on Thermal Remote Sensing of Evapotranspiration over the Continental United States. Journal of Climate. 24(8):2025-2044. DOI |
2 | Choi, J.G. 2019. Drought Characteristics Analysis Using Standard Precipitation Index(SPI)(Case Study in Chungbuk and Neighboring Areas). Doctoral Thesis of Korea National University of Transportation. 174pp. |
3 | Du, L., Tian, Q., Yu, T., Meng, Q., Jancso, T., Udvardy, P., and Huang, Y. 2013. A Comprehensive Drought Monitoring Method Integrating MODIS and TRMM Data. International Journal of Applied Earth Observation and Geoinformation. 23(1):245-253. DOI |
4 | Hernandez, E.A. and Uddameri, V. 2013. Standardized Precipitation Evaporation Index (SPEI)-based Drought Assessment in Semi-arid South Texas. Environmental Earth Sciences. 71(6):2491-2501. |
5 | Hong, S.Y., Hur, J.N., Ahn, J.B., Lee, J.M., Min, B.K., Lee, C.K., Kim, Y.H., Lee, K.D., Kim, S.H., Kim, G.Y., and Shim, K.M. 2012. Estimating Rice Yield Using MODIS NDVI and Meteorological Data in Korea. Korean Journal of Remote Sensing. 28(5):509-20. DOI |
6 | Hong, S.Y., Na, S.I., Lee, K.D., Kim, Y.S., and Baek, S.C. 2015. A Study on Estimating Rice Yield in DPRK Using MODIS NDVI and Rainfall Data. Korean Journal of Remote Sensing. 31(5):441-448. DOI |
7 | Jeong, J.H., Kim, D.E., and Choi, M.H. 2017. A Study on the Utilization of Geostationary Ocean Color Imager on Communication, Ocean and Meteorological Satellite for Drought Monitoring. Journal of the Korean Society of Hazard Mitigation. 17(3):69-77. DOI |
8 | Jung, J.H. 2021. A Study on Development and Application of Bigdata Drought Index. Master Thesis of Seokyeong University. 125pp. |
9 | Jung, J.H., Park, D.H., and Ahn, J.H. 2020. Drought evaluation using unstructured data: a cases study for Boryeong area. Journal of Korea Water Resources Association. 53(12):1203-1210. DOI |
10 | Kim, D.J. 2017. Feasibility Study on Agricultural Drought Index for Field Scale Applications. Doctoral Thesis of Kyung Hee University. 96pp. |
11 | Kim, H.Y., Zhang, X.H., Cho, J.H., and Joo, J.G. 2020. Analysis of Regional Drought Correlation Using Drought Indicators. Journal of the Korean Society of Hazard Mitigation. 20(6):283-290. |
12 | Kim, J.H. 2017. A Comparative Study of Meteorologic Drought Index and Socioeconomic Drought Index, with Focus on the Gangwon Region. Master Thesis of Kangwon National University. 108pp. |
13 | Kim, J.H., Lee, S.H., and Kim, B.S. 2018. An Assessment of Past and Future Droughts in North Korea Using Standardized Precipitation Evapotranspiration Index. 2018 Crisis and Emergency Management : Theory and Praxis. 14(2):139-151. |
14 | Kim, S.H. and Chung, E.S. 2017. Peak Drought Index Analysis of Cheongmicheon Watershed Using Meteorological and Hydrological Drought Index. Journal of Korea Water Resources Association. 50(1):65-73. DOI |
15 | Kim, S.W., Kim, M.K., Jung, D.H., and Yoo, D.G. 2019. Identifying the Critical Drought Impact Factor with Feature Selection Approaches. Journal of the Korean Society of Hazard Mitigation. 19(7):511-518. DOI |
16 | Kogan, F.N. 1990. Remote Sensing of Weather Impacts on Vegetation in Non-homogeneous Areas. International Journal of Remote Sensing. 11(8):1405-1419. DOI |
17 | Kogan, F.N. 1995. Application of Vegetation Index and Brightness Temperature for Drought Detection. Advances in Space Research. 15(11):91-100. DOI |
18 | Kogan, F.N. 2001. Operational Space Technology for Global Vegetation Assessment. Bulletin of the American Meteorological Society. 82(9):1949-1964. DOI |
19 | K-water. 2021. 가뭄정보분석 연간보고서. 환경부. |
20 | Kwon, H.J., Lim, H.J. and Kim, S.J. 2007. Drought Assessment of Agricultural District using Modified SWSI. Journal of the Korean Association of Geographic Information Studies. 10(1):22-34. |
21 | Kwon, J.J. 2013. Improvement of the Classification Standard of Drought Index for the Korean Peninsula. Master Thesis of Seokyeong University. 97pp. |
22 | Lee, J.J. and Kim, C.J. 2011. Derivation of Drought Severity-Duration-Frequency Curves Using Drought Frequency Analysis. Journal of Korea Water Resources Association. 44(11):889-902. DOI |
23 | Lee, J.W. 2012. Drought Indices Assessment using the Drought Records and Development of the Modified Drought Index by Considering Effects of the Dry Period and Rainfall. Master Thesis of Kyungpook National University. 93pp. |
24 | Lee, S.K. 2021. Development of Agricultural Water Demand and Supply Drought Index (AWDSDI). Doctoral Thesis of Kongju National University. 126pp. |
25 | McKee, T.B., Doesken, N.J., and Kleist, J. 1993. The Relationship of Drought Frequency and Duration to Time Scales. 8th Conference on Applied Climatology, Aneheim, California, 179-184. |
26 | Na, S.I., Park, C.W., So, K.H., Park, J.M., and Lee, K.D. 2017. Development of Garlic & Onion Yield Prediction Model on Major Cultivation Regions Considering MODIS NDVI and Meteorological Elemets. Korean Journal of Remote Sensing. 33(5):647-659. DOI |
27 | Nam, W.H., Tsegaye Tadesse, Wardlow, B.D., Jang, M.W., and Hong, S.Y. 2015. Satellite-based Hybrid Drought Assessment using Vegetation Drought Response Index in South Korea (VegDRI-SKorea). Journal of the Korean Society of Agricultural Engineers. 57(4):1-9. DOI |
28 | NDMI. 2016. Development of Fundamental Technologies for Disaster Analysis and Application Based on Mid-resolution Satellite Imagery. National Disaster Management Research Institute. |
29 | Park, J.S., Kim, K.T., Lee, J.H., and Lee, K.S. 2006. Applicability of Multi-Temporal MODIS Images for Drought Assessment in South Korea. Journal of the Korean Association of Geographic Information Studies. 9(4):176-192. |
30 | Park, M.J., Choi, Y.S., Shin, H.J., Lee, Y.J., and Yu, S.J. 2017. Applyinh Terra MODIS Satellite Image to Analysis of Current State of Upland Field. Journal of the Korean Association of Geographic Information Studies. 20(3):1~11. DOI |
31 | Park, S.Y., Lee, S.W., Kim, T.H., and Choi, J.M. 2020. Analysis of Seasonal Effects between Drought Intensity and the Frequency of Forest Fires. The Geographical Journal of Korea. 54(3):299-309. DOI |
32 | Rhee, J.Y., Im, J.H., and Carbone, G.J. 2010. Monitoring Agricultural Drought for Arid and Humid Regions using Multi-sensor Remote Sensing Data. Remote Sensing of Environment. 114(12):2875-2887. |
33 | Ryu, J.S., Ahn, J.H., and Kim, S.D. 2012. An Application of Drought Severity-Area-Duration Curves Using Copulas-Based Joint Drought Index. Journal of Korea Water Resources Association. 45(10):1043-1050. DOI |
34 | Shin, H.J., Park, M.J., Hwang, E.H., Chae, H.S., and Park, S.J. 2015. A Study of Spring Drought Using Terra MODIS Satellite Image. Journal of the Korean Association of Geographic Information Studies. 18(4):145-157. DOI |
35 | Shin, J.H., Kim, J.K., Yeom, M.K., and Kim, J.P. 2021. Analysis of Drought Vulnerable Areas using Neural-Network Algorithm. Journal of the Society of Disaster Information. 17(2):329-340. DOI |
36 | Shin, J.Y., Kim, J.E., Lee, J.H., and Kim, T.W. 2019. Meteorological Drought Outlook with Satellite Precipitation Data Using Bayesian Networks and Decision-making Model. Journal of Korea Water Resources Association. 52(4):279-289. DOI |
37 | UNIST. 2016. 우주핵심기술개발사업 최종보고서. 미래창조과학부 한국연구재단. |
38 | Won, K.J. and Chung, E.S. 2016. Drought Analysis of Cheongmicheon Watershed Using Meteorological, Agricultural, and Hydrological Drought Indices. Journal of Korea Water Resources Association. 49(6):509-518. DOI |
39 | Yoo, J.Y., So, B.J., Kwon, H.H., and Kim, T.W. 2020. Development of Drought Map Based on Three-dimensional Spatiotemporal Analysis of Drought. Journal of the Korean Society of Civil Engineers. 40(1):25-33. DOI |
40 | Yoon, D.H. 2021. Estimation of High-Resolution Drought Indices Using Multiple-Satellite Images and Spatiotemporal Characteristics Analysis. Master Thesis of Hankyong National University. 72pp. |
41 | Yoon, D.H., Nam, W.H., Lee, H.J., Hong, E.M., Kim, T.G., Kim, D.E., Shin, A.K., and Svoboda, M.D. 2018. Application of Evaporative Stress Index (ESI) for Satellite-based Agricultural Drought Monitoring in South Korea. Journal of the Korean Society of Agricultural Engineers. 60(6):121131. |