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2025 Vol.58, Issue 12 Preview Page

Research Article

Evaluating the continuity of a MODIS-Based NDVI with VIIRS data

VIIRS를 활용한 MODIS 기반 NDVI의 연속 가능성 검토

Wonjin Janga
,
Jinuk Kimb*
,
Jeehun Chungc
,
Yonggwan Leed
,
Cheolhee Jange
,
Seongjoon Kimf
장 원진a
,
김 진욱b*
,
정 지훈c
,
이 용관d
,
장 철희e
,
김 성준f
aPh.D Researcher, Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology, Goyang, Korea
bPh.D Researcher, Future and Fusion Lab of Architectural, Civil and Environmental Engineering, Korea University, Seoul, Korea
cPh.D Candidate, Department of Civil, Environmental and Plant Engineering, Graduate School, Konkuk University, Seoul, Korea
dAssistant Professor, Asia Infrastructure Research Center, Konkuk University, Seoul, Korea
eSenior Researcher, Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology, Goyang, Korea
fProfessor, Division of Civil and Environmental Engineering, College of Engineering, Konkuk University, Seoul, Korea
a한국건설기술연구원 수자원하천연구본부 박사후연구원
b고려대학교 미래건설환경융합연구소 박사후연구원
c건국대학교 일반대학원 사회환경플랜트공학과 박사수료
d건국대학교 아시아시설물연구소 조교수
e한국건설기술연구원 수자원하천연구본부 수석연구원
f건국대학교 공과대학 사회환경공학부 교수
*Corresponding Author
31 December 2025. pp. 1311-1322
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Abstract

Drought is a widespread hazard whose severity is increasing under climate change, making precise and continuous assessment indispensable. This study aims to verify the continuity of long-term records by employing the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) the successor to the MODerate resolution Imaging Spectroradiometer (MODIS), whose data production is expected to cease as it reaches end-of-life and to evaluate the capability of the Normalized Difference Vegetation Index (NDVI) based Dry Condition Index (DCI) for assessing agricultural drought in Korean paddy areas. Using Google Earth Engine, we compiled and analyzed MODIS and VIIRS NDVI datasets for 2015-2024. VIIRS NDVI showed high consistency with MODIS, demonstrating strong each sensor compatibility; in particular, during the key agricultural drought season (February-May), the each sensor deviation was 0.008. Time series analysis of DCI confirmed that VIIRS can sustain continuous agricultural drought detection based on MODIS derived drought metrics and effectively capture the timing and progression of drought events. These findings provide an objective basis for the continued use of VIIRS as a replacement for MODIS in drought research and are expected to contribute policy-relevant information for effective drought response.

Keywords
Terra MODIS
SNPP VIIRS
Normalized Difference Vegetation Index (NDVI)
Dry condition index (DCI)
Agricultural drought

가뭄은 기후 변화에 따라 심각도가 증대되고 있는 광범위한 재해로, 이에 대한 정밀하고 연속적인 현황 진단이 필수적이다. 본 연구는 수명 만료로 자료 중단이 예정된 MODerate resolution Imaging Spectroradiometer (MODIS)의 후속 센서인 Suomi National Polar-orbiting Partnership (SNPP)와 Visible Infrared Imaging Radiometer Suite (VIIRS)를 활용하여 장기 시계열 자료의 연속성을 검증하고, Normalized Difference Vegetation Index (NDVI) 기반으로 산정되는 Dry Condition Index (DCI)를 활용하여 국내 논 지역에 대한 농업가뭄 평가 능력을 분석하는 것을 목표로 하였다. 연구를 위해 2015년부터 2024년까지 Google Earth Engine (GEE)을 활용하여 MODIS 및 VIIRS NDVI를 구축하고 분석을 수행하였다. 그 결과 VIIRS NDVI 자료는 MODIS 자료와 높은 상관성을 보였으며, 특히 농업가뭄 주요시기인 2월 ~ 5월에 두 센서 간 편차가 0.008로 높은 자료 호환성을 입증하였다. DCI 시계열 분석을 통해 VIIRS는 MODIS 기반 가뭄 인자를 활용한 연속적인 농업가뭄 탐지 능력을 성공적으로 검증하였으며, 가뭄 발생 시기에 가뭄의 천이 양상을 효과적으로 포착하였다. 본 연구의 결과는 MODIS를 대체하여 VIIRS 자료를 가뭄 연구에 연속적으로 활용할 수 있는 객관적인 근거를 제시하였으며, 가뭄 대응 차원에서 실효적인 정책 자료로 기여할 것으로 기대된다.

키워드
Terra MODIS
SNPP VIIRS
정규화식생지수
건조지수
농업가뭄
References
1

AghaKouchak, A., Farahmand, A., Melton, F.S., Teixeira, J., Anderson, M.C., Wardlow, B.D., and Hain, C.R. (2015). “Remote sensing of drought: Progress, challenges and opportunities.“ Reviews of Geophysics, Vol. 53, No. 2, pp. 452-480.

10.1002/2014RG000456
2

Bayarjargal, Y., Karnieli, A., Bayasgalan, M., Khudulmur, S., Gandush, C., and Tucker, C.J. (2006). “A comparative study of NOAA-AVHRR derived drought indices using change vector analysis.“ Remote Sensing of Environment, Vol. 105, No. 1, pp. 9-22.

10.1016/j.rse.2006.06.003
3

Benedict, T.D., Brown, J.F., Boyte, S.P., Howard, D.M., Fuchs, B.A., Wardlow, B.D., Tadesse, T., and Evenson, K.A. (2021). “Exploring VIIRS continuity with MODIS in an expedited capability for monitoring drought-related vegetation conditions.” Remote Sensing, No. 13, Vol. 6, 1210.

10.3390/rs13061210
4

Deering, D.W., Rouse, J.W., Haans, R.H., and Schell, J.A. (1975), “Measuring forage production of grazing units from Landsat MSS data,” Proceedings, Tenth International Symposium on Remote Sensing of Environment, Vol. 2, pp. 1169-1178.

5

Edwards, B., Gray, M., and Hunter, B. (2019). “The social and economic impacts of drought.” Australian Journal of Social Issues, Vol. 54, No. 1, pp. 22-31.

10.1002/ajs4.52
6

Houghton, J.T., Ding, Y., Griggs, D.J., Noguer, M., Van der Linden, P.J., and Xiaosu, D. (2001). “Climate change 2001: The scientific basis.” Contribution of working group I to the third assessment report of the Intergovernmenal Panel on Climate Change (IPCC). Cambridge University Press, Cambridge, Vol. 57, No. 8, pp. 267-269.

7

Kim, J.E., Park, J.Y., Lee, J.H., and Kim, T.W. (2019). “Socioeconomic vulnerability assessment of drought using principal component analysis and entropy method.” Journal of Korea Water Resources Association, Vol. 52, No. 6, pp. 441-449.

10.3741/JKWRA.2019.52.6.441
8

Kogan, F., Goldberg, M., Schott, T., and Guo, W. (2015). “Suomi NPP/VIIRS: Improving drought watch, crop loss prediction, and food security.” International Journal of Remote Sensing, Vol. 36, No. 21, pp. 5373-5383.

10.1080/01431161.2015.1095370
9

Kogan, F.N. (1995). “Application of vegetation index and brightness temperature for drought detection.” Advances in Space Research, Vol. 15, No. 11, pp. 91-100.

10.1016/0273-1177(95)00079-T
10

Korea Meteorological Administration (KMA) (2021). Climate Analysis information: March 2021, accessed 1 October 2025, <https://www.kma.go.kr/download_02/ellinonewsletter_2021_3.pdf>.

11

Lee, J., Lee, Y., and Kim, S. (2017). “The possibility of drought expression by late march dryness in rice paddy areas using terra MODIS NDVI.” Journal of the Korean Association of Geographic Information Studies, Vol. 20, No. 30, pp. 27-41.

12

Lee, K., Kim, S., Ryu, J-H., and Ahn, H. (2023). “Comparison of MODIS and VIIRS NDVI characteristics on corn and soybean cultivation areas in Illinois.” Korean Journal of Remote Sensing, Vol. 39, No. 6-1, pp. 1483-1490.

13

Lyapustin, A., Wang, Y., Choi, M., Xiong, X., Angal, A., Wu, A., Doelling, D.R., Bhatt, R., Go, S., and Korkin, S., et al. (2023). “Calibration of the SNPP and NOAA 20 VIIRS sensors for continuity of the MODIS climate data records.” Remote Sensing of Environment, Vol. 295, No. 1, 113717.

10.1016/j.rse.2023.113717
14

Ma, J., Zhou, J., Zhang, X., Li, M., Luo, M., and Huang, Q. (2019). “VIIRS LST product validation based on spatial representativeness evaluation of the ground measurements.” IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, pp. 1797-1800.

10.1109/IGARSS.2019.8900611
15

Miura, T., Smith, C.Z., and Yoshioka, H. (2021). “Validation and analysis of Terra and Aqua MODIS, and SNPP VIIRS vegetation indices under zero vegetation conditions: A case study using Railroad Valley Playa.” Remote Sensing of Environment, Vol. 257, 112344.

10.1016/j.rse.2021.112344
16

Mullapudi, A., Vibhute, A.D., Mali, S., and Patil, C.H. (2023). “A review of agricultural drought assessment with remote sensing data: Methods, issues, challenges and opportunities.” Applied Geomatics, Vol. 15, No. 1, pp. 1-13.

10.1007/s12518-022-00484-6
17

National Aeronautics and Space Administration (NASA) (2025). MODIS to VIIRS transition for atmospheric science products, Level-1 and Atmosphere Archive & Distribution System Distributed Active Archive Center, accessed 30 September 2025, <https://ladsweb.modaps.eosdis.nasa.gov/learn/modis-to-viirs-transition/>.

18

Park, J.H. (2016). Reliability-based flood risk assessment methodology and its application to climate change for agricultural reservoirs. Ph.D. Dissertation, Seoul National University, pp. 17-19.

19

Park, S-J., Jeong, S-G., Park, Y., Kim, S-H., Lee, D-K., Mo, Y-W., Jang, D-S., and Park, K-M. (2021). “Phenological analysis of sub-alpine forest on Jeju Island, South Korea, using data fusion of Landsat and MODIS Products.” Forests, Vol. 12, 286.

10.3390/f12030286
20

Quiring, S.M., and Ganesh, S. (2010). “Evaluating the utility of the Vegetation Condition Index (VCI) for monitoring meteorological drought in Texas.” Agricultural and Forest Meteorology, Vol. 150, No. 3, pp. 330-339.

10.1016/j.agrformet.2009.11.015
21

Sandholt, I., Rasmussen, K., and Andersen, J. (2002). “A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status.” Remote Sensing of Environment, Vol. 79, No. 2-3, pp. 213-224.

10.1016/S0034-4257(01)00274-7
22

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- for the Soyanggang dam watershed.” Journal of the Korean Association of Geographic Information Studies, Vol. 18, No. 4, pp. 145-157.

10.11108/kagis.2015.18.4.145
23

Skakun, S., Justice, C.O., Vermote, E., Roger, J-C. (2019). “Transitioning from MODIS to VIIRS: An analysis of inter-consistency of NDVI data sets for agricultural monitoring.” International Journal of Remote Sensing, Vol. 39, No. 4, pp. 971-992.

10.1080/01431161.2017.139597029892137PMC5992487
24

Song, M., Jiang, B., Xin, J., Xu, L., Huang, S., Li, N., Chen, X., and Hu, M. (2024). “Remote sensing monitoring of drought in Jilin Province of China based on NPP-VIIRS data.” In Proceedings of the 2024 International Academic Conference on Edge Computing, ACM, New York, NY, U.S., pp. 215-219.

10.1145/3677404.3677442
25

Sur, C., and Nam, W.H. (2023). “Application of VIIRS land products for agricultural drought monitoring.” Journal of Korea Water Resources Association, Vol. 56, No. 11, pp. 729-735.

10.3741/JKWRA.2023.56.11.729
26

Wilhite, D.A. (2000). “Chap. 1, Drought as a natural hazard: Concepts and definitions.” Drought: A global assessment, vol. I, Edited by Wilhite, D.A., Routledge, London, pp. 3-18.

27

Xu, L., Abbaszadeh, P., Moradkhani, H., Chen, N., and Zhang, X. (2020). “Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index.” Remote Sensing of Environment, Vol. 250, 112028.

10.1016/j.rse.2020.112028
28

Zargar, A., Sadiq, R., Naser, B., and Khan, F.I. (2011). “A review of drought indices.” Environmental Reviews, Vol. 19, pp. 333-349.

10.1139/a11-013
Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 58
  • No :12
  • Pages :1311-1322
  • Received Date : 2025-10-01
  • Revised Date : 2025-11-02
  • Accepted Date : 2025-11-04
  • DOI :https://doi.org/10.3741/JKWRA.2025.58.12.1311
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