생태가뭄분석을 위한 식생건강지수의 가중치 매개변수 추정
Weighting Coefficient Estimation of Vegetation Health Index for Ecological Drought Analysis
1
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
본 연구에서는 2001년에서 2019년 기간 동안의 우리나라 주요 지점에서 원격으로 탐사된 정규화식생지수(Normalized Difference Vegetation Index, NDVI)와 지표면온도(Land Surface Temperature, LST)로부터 식생상태지수(Vegetation Condition Index, VCI), 열상태지수(Thermal Condition Index, TCI), 식생건강지수(Vegetation Health Index, VHI)를 추정한 후, 생태학적 가뭄의 영향을 평가할 목적으로 이들 지수들과 다양한 가뭄지수들 사이의 상관성이 분석된다. VCI와TCI가 식생건강에 미치는 상대적 영향력은 지역에 따라 달라지는 것이 발견되었다. 우리나라 산림지역의 식생에 미치는가뭄의 영향은 VCI보다는 TCI에서 더 분명하게 식별될 수 있었다. VCI와 TCI의 상대적인 영향력이 반영되어 추정된VHI는 식생에 미치는 가뭄의 영향을 더 잘 설명할 수 있음이 제시된다.
Abstract
In this study, after estimating VCI (Vegation Condition Index), TCI (Thermal Condition Index) and VHI (Vegetation Health Index) from the NDVI (Normalized Differentiation Vegetation Index) and LST (Land Surface Temperature) remotely sensed at major sites in Korea during the 2001-1919 period, the correlation between these indices and various drought indices is analyzed for the purpose of assessing the effects of ecological drought. The relative impact of VCI and TCI on vegetation health was found to vary by region. The effects of drought on vegetation in Korea's forest areas could be more clearly identified in TCI than in VCI. It is suggested that the revised VHI, reflecting the relative influence of VCI and TCI, can better explain the effects of drought on vegetation.
참고문헌 (63)
- Bayarjargal, Y, "A comparative study of NOAA–AVHRR derived drought indices using change vector analysis", Remote Sensing of Environment, 105(1), pp.9~22 (2006)[DOI]
- Bento, V., "Improving land surface temperature retrievals over mountainous regions", Remote Sensing, 9(1), pp.38~ (2017)[DOI]
- Bento, V, "A Climatological assessment of drought impact on vegetation health index", Agricultural and Forest Meteorology, 259, pp.286~295 (2018)[DOI]
- Bhuiyan, C, "Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data", International Journal of Applied Earth Observation and Geoinformation, 8(4), pp.289~302 (2006)[DOI]
- Chen, J, "2005 drought event in the Amazon River basin as measured by GRACE and estimated by climate models", Journal of Geophysical Research, 114, pp.B05404~ (2009)[DOI]
- Cook, E. R, "North American drought: Reconstructions, causes, and consequences", Earth-Science Reviews, 81(1-2), pp.93~134 (2007)[DOI]
- Dai, A, "Increasing drought under global warming in observations and models", Nature climate change, 3(1), pp.52~58 (2013)[DOI]
- Detsch, F, "Seasonal and long-term vegetation dynamics from 1-km GIMMS-based NDVI time series at Mt. Kilimanjaro, Tanzania", Remote Sensing of Environment, 178, pp.70~83 (2016)[DOI]
- Diffenbaugh, N. S, "Anthropogenic warming has increased drought risk in California", Proceedings of the National Academy of Sciences, 112(13), pp.3931~3936 (2015)[DOI]
- Ding, M, "Start of vegetation growing season on the Tibetan Plateau inferred from multiple methods based on GIMMS and SPOT NDVI data", Journal of Geographical Sciences, 25(2), pp.131~148 (2015)[DOI]
- Ding, Y, "Measuring economic impacts of drought: a review and discussion", Disaster Prevention and Management, 20(4), pp.434~446 (2011)[DOI]
- Duguay-Tetzlaff, A, "Meteosat land surface temperature climate data record: achievable accuracy and potential uncertainties", Remote Sensing, 7(10), pp.13139~13156 (2015)[DOI]
- Fensholt, R, "Evaluation of earth observation based global long term vegetation trends—Comparing GIMMS and MODIS global NDVI time series", Remote sensing of Environment, 119, pp.131~147 (2012)[DOI]
- Gao, B, "NDWI a normalized difference water index for remote sensing of vegetation liquid water from space", Remote Sensing of Environment, 58(3), pp.257~266 (1996)[DOI]
- Gouveia, C, "Drought impacts on vegetation activity in the Mediterranean region : an assessment using remote sensing data and multi-scale drought indicators", Global and Planetary Change, 151, pp.15~27 (2017)[DOI]
- Gu, Y, "A five-year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States", Geophysical Research Letters, 34, pp.L06407~ (2007)[DOI]
- Gu, Y, "Evaluation of MODIS NDVI and NDWI for vegetation drought monitoring using Oklahoma Mesonet soil moisture data", Geophysical Research Letters, 35, pp.L22401~ (2008)[DOI]
- Hobbins, M, "The evaporative demand drought index. Part I: Linking drought evolution to variations in evaporative demand", Journal of Hydrometeorology, 17(6), pp.1745~1761 (2016)[DOI]
- Jackson, T, "Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans", Remote Sensing of Environment, 92(4), pp.475~482 (2004)[DOI]
- Jain, S, "Identification of drought-vulnerable areas using NOAA AVHRR data", International Journal of Remote Sensing, 30(10), pp.2653~2668 (2009)[DOI]
- Karnieli, A, "Use of NDVI and land surface temperature for drought assessment: merits and limitations", Journal of Climate, 23(3), pp.618~633 (2010)[DOI]
- Kim, E, "The effect of climate change on Korean drought occurrences using a stochastic soil water balance model", Scientific Research and Essays, 6(13), pp.2771~2783 (2011)[DOI]
- Kim, S, "Spatio-temporal characterization of Korean drought using severity-areaduration curve analysis", Water and Environment Journal, 25(1), pp.22~30 (2011)[DOI]
- 김상단, "종합적인 가뭄상황판단을 위한 Copulas 기반의 결합가뭄지수의 적용", 한국방재학회논문집, 12(1), pp.223~230 (2012), 한국방재학회
- Klos, R, "Drought impact on forest growth and mortality in the southeast USA: an analysis using Forest health and monitoring data", Ecological Applications, 19(3), pp.699~708 (2009)[DOI]
- Kogan, F, "Global drought watch from space", Bulletin of the American Meteorological Society, 78(4), pp.621~636 (1997)[DOI]
- Kogan, F, "Operational space technology for global vegetation assessment", Bulletin of the American Meteorological Society, 82(9), pp.1949~1964 (2001)[DOI]
- Kogan, F, "Forecasting crop production using satellite-based vegetation health indices in Kansas, USA", International Journal of Remote Sensing, 33(9), pp.2798~2814 (2012)[DOI]
- Photogrammetry, "Remote sensing of hydrological extremes. Springer Remote Sensing", pp.2016, Lakshmi, V
- 이희진, "Evaporative Stress Index (ESI)를 활용한 북한의 위성영상기반 농업가뭄 평가", 한국농공학회논문집, 61(3), pp.1~14 (2019), 한국농공학회[DOI]
- 이희진, "Evaporative Stress Index (ESI)의 국내 가뭄 심도 분류 기준 제시", 한국농공학회논문집, 62(2), pp.63~73 (2020), 한국농공학회[DOI]
- Martins, J., "A Physically constrained calibration database for land surface temperature using infrared retrieval algorithms", Remote Sensing, 8(10), pp.808~ (2016)[DOI]
- McKee, T, "The relationship of drought frequency and duration to time scales", Proceedings of the 8th Conference on Applied Climatology, pp.179~183 (1993)
- McVicar, T, "The current and potential operational uses of remote sensing to aid decisions on drought exceptional circumstances in Australia: A review", Agricultural Systems, 57(3), pp.399~468 (1998)[DOI]
- Mishra, A. K, "A review of drought concepts", Journal of hydrology, 391(1-2), pp.202~216 (2010)[DOI]
- 문영식, "위성기반 Climate Hazards Group InfraRed Precipitation with Station (CHIRPS)를 활용한한반도 지역의 기상학적 가뭄지수 적용", 한국농공학회논문집, 61(2), pp.1~11 (2019), 한국농공학회[DOI]
- Otkin, J, "Examining the relationship between drought development and rapid changes in the evaporative stress index", Journal of Hydrometeorology, 15, pp.938~956 (2014)[DOI]
- Otkin, J, "Examining rapid onset drought development using thermal infrared-based evaporative stress index", Journal of Hydrometeorology, 14, pp.1057~1074 (2013)[DOI]
- 박명우, "기상청 1-km 해상도 RCP 시나리오에 따른 가뭄심도-지속기간-재현기간 분석", 한국방재학회논문집, 15(3), pp.347~355 (2015), 한국방재학회
- Phillips, O, "Drought sensitivity of the Amazon Rainforest", Science, 323(5919), pp.1344~1347 (2009)[DOI]
- Quiring, S, "Evaluating the utility of the vegetation condition index(VCI)for monitoring meteorological drought in Texas", Agricultural and Forest Meteorology, 150(3), pp.330~339 (2010)[DOI]
- 류정수, "Copulas 기반의 결합가뭄지수를 이용한 가뭄심도-영향면적 -지속기간 곡선의 적용", 한국수자원학회 논문집, 45(10), pp.1043~1050 (2012), 한국수자원학회
- Seiler, R, "AVHRR-based vegetation and temperature condition indices for drought detection in Argentina", Advances in Space Research, 21(3), pp.481~484 (1998)[DOI]
- 심현준, "자연용수공급지역에서 가뭄상황판단을 위한 실시간가뭄지수", 한국방재학회논문집, 13(5), pp.365~373 (2013), 한국방재학회
- Singh, R, "Vegetation and temperature condition indices from NOAA AVHRR data for drought monitoring over India", International Journal of Remote Sensing, 24(22), pp.4393~4402 (2003)[DOI]
- Sun, D, "Note on the NDVI-LST relationship and the use of temperature-related drought indices over North America", Geophysical Research Letters, 34(24), pp.L24406~ (2007)[DOI]
- Trenberth, K. E, "Global warming and changes in drought", Nature Climate Change, 4(1), pp.17~22 (2014)[DOI]
- Tucker, C, "An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data", International Journal of Remote Sensing, 26(20), pp.4485~4498 (2005)[DOI]
- Unganai, L, "Drought monitoring and corn yield estimation in southern Africa from AVHRR data", Remote Sensing of Environment, 63(3), pp.219~232 (1998)[DOI]
- Vicente-Serrano, S. M, "Drought variability and land degradation in semiarid regions : Assessment using remote sensing data and drought indices(1982–2011)", Remote Sensing, 7(4), pp.4391~4423 (2015)[DOI]
- Vicente-Serrano, S, "Evidence of increasing drought severity caused by temperature rise in southern Europe", Environmental Research Letters, 9(4), pp.044001~ (2014)[DOI]
- Wang, L, "Satellite remote sensing applications for surface soil moisture monitoring : A review", Frontiers of Earth Science in China, 3(2), pp.237~247 (2009)[DOI]
- Wang, L, "NMDI: A Normalized Multi-band Drought Index for monitoring soil and vegetation moisture with satellite remote sensing", Geophysical Research Letters, 34, pp.L20405~ (2007)[DOI]
- Wang, L, "Sensitivity studies of the moisture effects on MODIS SWIR reflectance and vegetation water indices", International Journal of Remote Sensing, 29(24), pp.7065~7075 (2008)[DOI]
- Wardlow, B. D, "Remote sensing of drought: Innovative monitoring approaches. drought and water Crises" (2012), CRC Press
- Wilhite, D, "Understanding the complex impacts of drought : a key to enhancing drought mitigation and preparedness", Water Resources Management, 21(5), pp.763~774 (2007)[DOI]
- Won, J, "Copula-based Joint Drought Index using SPI and EDDI and its application to climate change", Science of the Total Environment, 744, pp.140701~ (2020)[DOI]
- 원정은, "증발수요 가뭄지수의 적용성 연구", 한국방재학회논문집, 18(6), pp.431~442 (2018), 한국방재학회[DOI]
- Yao, N, "Drought evolution, severity and trends in mainland China over 1961–2013", Science of the Total Environment, 616, pp.73~89 (2018)[DOI]
- 윤동현, "MODIS 위성영상 기반 ESI와 ROC 분석을 이용한 가뭄위험평가", 한국농공학회논문집, 62(3), pp.51~61 (2020), 한국농공학회[DOI]
- 윤동현, "위성영상기반 농업가뭄 모니터링을 위한 Evaporative Stress Index (ESI)의 적용성 평가", 한국농공학회논문집, 60(6), pp.121~131 (2018), 한국농공학회[DOI]
- Yoon, D, "Agricultural drought assessment in East Asia using satellite-based indices", Remote Sensing, 12(3), pp.1~16 (2020)[DOI]
- 윤예슬, "위성기반 가뭄지수의 상호비교를 통한 한반도 농업가뭄 분석", 기후연구, 13(4), pp.275~296 (2018), 기후연구소[DOI]
