All Issue

2026 Vol.59, Issue 9 Preview Page
30 September 2026. pp. 1033-1047
Abstract
References
1

Eyoh, A., Okeke, F., and Ekpa, A. (2019). “Assessment of the effectiveness of the vegetation condition index (VCI) as an indicator for monitoring drought condition across the Niger Delta region of Nigeria using AVHRR/MODIS NDVI.” European Journal of Physical and Agricultural Sciences, Vol. 6, No. 1, pp. 12-31.

2

Feng, S., Zhang, Z., Zhao, S., Guo, X., Zhu, W., and Das, P. (2023). “Time lag effect of vegetation response to seasonal precipitation in the Mara River Basin.” Ecological Processes, Vol. 12, 49.

10.1186/s13717-023-00461-w
3

Gitelson, A.A., Kaufman, Y.J., and Merzlyak, M.N. (1996). “Use of a green channel in remote sensing of global vegetation from EOS-MODIS.” Remote Sensing of Environment, Vol. 58, No. 3, pp. 289-298.

10.1016/S0034-4257(96)00072-7
4

Gu, X., Guo, E., Yin, S., Wang, Y., Mandula, N., Wan, Z., Yun, X., Li, H., and Bao, Y. (2022). “Differentiating cumulative and lagged effects of drought on vegetation growth over the Mongolian Plateau.” Ecosphere, Vol. 13, No. 12, e4289.

10.1002/ecs2.4289
5

Houborg, R., and McCabe, M.F. (2016). “A cubesat enabled spatiotemporal enhancement method utilizing Planet, Landsat and MODIS data.” Remote Sensing of Environment, Vol. 209, pp. 211-226.

10.1016/j.rse.2018.02.067
6

Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X., and Ferreira, L.G. (2002). “Overview of the radiometric and biophysical performance of the MODIS vegetation indices.” Remote Sensing of Environment, Vol. 83, No. 1-2, pp. 195-213.

10.1016/S0034-4257(02)00096-2
7

Huete, A.R. (1988). “A soil-adjusted vegetation index (SAVI).” Remote Sensing of Environment, Vol. 25, No. 3, pp. 295-309.

10.1016/0034-4257(88)90106-X
8

Jiang, Z., Huete, A.R., Didan, K., and Miura, T. (2008). “Development of a two-band enhanced vegetation index without a blue band.” Remote Sensing of Environment, Vol. 112, No. 10, pp. 3833-3845.

10.1016/j.rse.2008.06.006
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

Kpienbaareh, D., Mohammed, K., Luginaah, I., Wang, J., Kerr, R.B., Lupafya, E., and Dakishoni, L. (2022). “Estimating groundnut yield in smallholder agriculture systems using PlanetScope data.” Land, Vol. 11, No. 10, 1752.

10.3390/land11101752
11

Lee, H.J., Nam, W.H., Yoon, D.H., Kim, H.Y., Woo, S.B., and Kim, D.E. (2021). “Drought monitoring for paddy fields using satellite-derived evaporative stress index.” Journal of the Korean Society of Agricultural Engineers, Vol. 63, No. 3, pp. 47-57.

10.5389/KSAE.2021.63.3.047
12

Li, F., Miao, Y., Chen, X., Sun, Z., Stueve, K., and Yuan, F. (2022a). “In-season prediction of corn grain yield through PlanetScope and Sentinel-2 images.” Agronomy, Vol. 12, No. 12, 3176.

10.3390/agronomy12123176
13

Li, J., Xi, M., Pan, Z., Liu, Z., He, Z., and Qin, F. (2022b). “Response of NDVI and SIF to meteorological drought in the Yellow River Basin from 2001 to 2020.” Water, Vol. 14, No. 19, 2978.

10.3390/w14192978
14

Liu, W. (2024). “The response of NDVI to drought at different temporal scales in the Yellow River Basin from 2003 to 2020.” Water, Vol. 16, 2416.

10.3390/w16172416
15

Liu, W.T., and Kogan, F.N. (1996). “Monitoring regional drought using the vegetation condition index.” International Journal of Remote Sensing, Vol. 17, No. 14, pp. 2761-2782.

10.1080/01431169608949106
16

Marsetič, A., and Kanjir, U. (2024). “Forecasting vegetation behavior based on PlanetScope time series data using RNN-based models.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17, pp. 5015-5025.

10.1109/JSTARS.2024.3365971
17

Nam, W.H., Tadesse, T., Wardlow, B.D., Hayes, M.J., Svoboda, M.D., Hong, E.M., Pachepsky, Y., and Jang, M.W. (2018). “Developing the vegetation drought response index for South Korea (VegDRI-SKorea) to assess vegetation condition during drought events.” International Journal of Remote Sensing, Vol. 39, No. 5, pp. 1548-1574.

10.1080/01431161.2017.1407047
18

Park, J.S., Kim, K.T., and Choi, Y.S. (2008). “Application of vegetation condition index and standardized vegetation index for assessment of spring drought in South Korea.” IGARSS 2008: 2008 IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, U.S., Vol. 3, pp. III-774-III-777.

10.1109/IGARSS.2008.4779463
19

Peters, A.J., Walter-Shea, E.A., Ji, L., Vina, A., Hayes, M., and Svoboda, M.D. (2002). “Drought monitoring with NDVI-based standardized vegetation index.” Photogrammetric Engineering & Remote Sensing, Vol. 68, No. 1, pp. 71-75.

20

Qin, Q., Wu, Z., Zhang, T., Sagan, V., Zhang, Z., Zhang, Y., Zhang, C., Ren, H., Sun, Y., Xu, W., and Zhao, C. (2021). “Optical and thermal remote sensing for monitoring agricultural drought.” Remote Sensing, Vol. 13, No. 24, 5092.

10.3390/rs13245092
21

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
22

Rufin, P., Bey, A., Picoli, M., and Meyfroidt, P. (2022). “Large-area mapping of active cropland and short-term fallows in smallholder landscapes using PlanetScope data.” International Journal of Applied Earth Observation and Geoinformation, Vol. 112, 102937.

10.1016/j.jag.2022.10293736062066PMC9418336
23

Singh, R.P., Roy, S., and Kogan, F. (2003). “Vegetation and temperature condition indices from NOAA AVHRR data for drought monitoring over India.” International Journal of Remote Sensing, Vol. 24, No. 22, pp. 4393-4402.

10.1080/0143116031000084323
24

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
25

Tucker, C.J. (1979). “Red and photographic infrared linear combinations for monitoring vegetation.” Remote Sensing of Environment, Vol. 8, No. 2, pp. 127-150.

10.1016/0034-4257(79)90013-0
26

Wilhite, D.A., and Glantz, M.H. (1985). “Understanding the drought phenomenon: The role of definitions.” Water International, Vol. 10, No. 3, pp. 111-120.

10.1080/02508068508686328
27

Wilhite, D.A., Hayes, M.J., Knutson, C., and Smith, K.H. (2000). “Planning for drought: Moving from crisis to risk management.” Journal of the American Water Resources Association, Vol. 36, No. 4, pp. 697-710.

10.1111/j.1752-1688.2000.tb04299.x
28

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 for satellite-based agricultural drought monitoring in South Korea.” Journal of the Korean Society of Agricultural Engineers, Vol. 60, No. 6, pp. 121-131.

10.5389/KSAE.2018.60.6.121
29

Zhao, A., Yu, Q., Feng, L., Zhang, A., and Pei, T. (2020). “Evaluating the cumulative and time-lag effects of drought on grassland vegetation: A case study in the Chinese Loess Plateau.” Journal of Environmental Management, Vol. 261, 110214.

10.1016/j.jenvman.2020.110214
Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 59
  • No :9
  • Pages :1033-1047
  • Received Date : 2026-05-12
  • Revised Date : 2026-06-19
  • Accepted Date : 2026-06-29