Bolten, J. D., Crow, W. T., Zhan, X., Jackson, T. J., & Reynolds, C. A. (2010). Evaluating the
utility of remotely sensed soil moisture retrievals for operational agricultural drought monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 3(1),
57–66. https://doi.org/10.1109/JSTARS.2009.2037163.
Brown, J. F., Brian, W., Tadesse, T., Hayes, M. J., & Reed, B. C. (2008). The vegetation drought
response index (VegDRI): A new integrated approach for monitoring drought stress in vegetation. GIScience & Remote Sensing, 45(1), 16–46. https://doi.org/10.2747/1548-1603.45.1.16.
Carlson, T. N., & Ripley, D. A. (1997). On the relation between NDVI, fractional vegetation cover,
and leaf area index. Remote Sensing of Environment, 62(3), 241–252. https://doi.org/10.1016/
S0034-4257(97)00104-1.
Deng, M., Di, L., Han, W., Yagci, A. L., Peng, C., & Heo, G. (2013). Web-service-based
monitoring and analysis of global agricultural drought. Photogrammetric Engineering &
Remote Sensing, 79(10), 929–943. https://doi.org/10.14358/PERS.79.10.929.
Di, L., Rundquist, D. C., & Han, L. (1994). Modelling relationships between NDVI and precipitation during vegetative growth cycles. International Journal of Remote Sensing, 15(10),
2121–2136. https://doi.org/10.1080/01431169408954231.
Ek, M. B., Mitchell, K. E., Lin, Y., Rogers, E., Grunmann, P., Koren, V., Gayno, G., & Tarpley,
J. D. (2003). Implementation of Noah land surface model advances in the National Centers for
environmental prediction operational mesoscale eta model. Journal of Geophysical Research:
Atmospheres, 108(D22), 8851. https://doi.org/10.1029/2002JD003296.
Funk, C. C., & Brown, M. E. (2006). Intra-seasonal NDVI change projections in semi-arid Africa.
Remote Sensing of Environment, 101(2), 249–256. https://doi.org/10.1016/j.rse.2005.12.014.
Gardner, B. R., Blad, B. L., & Watts, D. G. (1981). Plant and air temperatures in differentiallyirrigated corn. Agricultural Meteorology, 25, 207–217. https://doi.org/10.1016/0002-1571(81)
90073-X.
Hain, C. R., Crow, W. T., Anderson, M. C., & Tugrul Yilmaz, M. (2015). Diagnosing neglected soil
moisture source–sink processes via a thermal infrared–based two-source energy balance model.
Journal of Hydrometeorology, 16(3), 1070–1086. https://doi.org/10.1175/JHM-D-14-0017.1.
Houser, P. R., James Shuttleworth, W., Famiglietti, J. S., Gupta, H. V., Syed, K. H., & Goodrich,
D. C. (1998). Integration of soil moisture remote sensing and hydrologic modeling using data
assimilation. Water Resources Research, 34(12), 3405–3420. https://doi.org/10.1029/
1998WR900001.
Jackson, R. D., Idso, S. B., Reginato, R. J., & Pinter, P. J. (1981). Canopy temperature as a crop
water stress Indicator. Water Resources Research, 17(4), 1133–1138. https://doi.org/10.1029/
WR017i004p01133.
Jackson, R. D., Hatfield, J. L., Reginato, R. J., Idso, S. B., & Pinter, P. J. (1983). Estimation of daily
evapotranspiration from one time-of-day measurements. Agricultural Water Management, 7
(1–3), 351–362. https://doi.org/10.1016/0378-3774(83)90095-1.
Jarlan, L., Tourre, Y. M., Mougin, E., Philippon, N., & Mazzega, P. (2005). Dominant patterns of
AVHRR NDVI interannual variability over the Sahel and linkages with key climate signals
(1982–2003). Geophysical Research Letters, 32(4), L04701. https://doi.org/10.1029/
2004GL021841.
Ji, L., & Peters, A. J. (2003). Assessing vegetation response to drought in the northern Great Plains
using vegetation and drought indices. Remote Sensing of Environment, 87(1), 85–98. https://doi.
org/10.1016/S0034-4257(03)00174-3.
Ji, L., Gallo, K., Eidenshink, J. C., & Dwyer, J. (2008). Agreement evaluation of AVHRR and
MODIS 16-day composite NDVI data sets. International Journal of Remote Sensing, 29(16),
4839–4861. https://doi.org/10.1080/01431160801927194.
Kerr, Y. H., Waldteufel, P., Wigneron, J. P., Martinuzzi, J., Font, J., & Berger, M. (2001). Soil
moisture retrieval from space: The soil moisture and ocean salinity (SMOS) mission. IEEE
Transactions on Geoscience and Remote Sensing, 39(8), 1729–1735. https://doi.org/10.1109/
36.942551.
318
A. L. Yagci and M. T. Yilmaz
utility of remotely sensed soil moisture retrievals for operational agricultural drought monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 3(1),
57–66. https://doi.org/10.1109/JSTARS.2009.2037163.
Brown, J. F., Brian, W., Tadesse, T., Hayes, M. J., & Reed, B. C. (2008). The vegetation drought
response index (VegDRI): A new integrated approach for monitoring drought stress in vegetation. GIScience & Remote Sensing, 45(1), 16–46. https://doi.org/10.2747/1548-1603.45.1.16.
Carlson, T. N., & Ripley, D. A. (1997). On the relation between NDVI, fractional vegetation cover,
and leaf area index. Remote Sensing of Environment, 62(3), 241–252. https://doi.org/10.1016/
S0034-4257(97)00104-1.
Deng, M., Di, L., Han, W., Yagci, A. L., Peng, C., & Heo, G. (2013). Web-service-based
monitoring and analysis of global agricultural drought. Photogrammetric Engineering &
Remote Sensing, 79(10), 929–943. https://doi.org/10.14358/PERS.79.10.929.
Di, L., Rundquist, D. C., & Han, L. (1994). Modelling relationships between NDVI and precipitation during vegetative growth cycles. International Journal of Remote Sensing, 15(10),
2121–2136. https://doi.org/10.1080/01431169408954231.
Ek, M. B., Mitchell, K. E., Lin, Y., Rogers, E., Grunmann, P., Koren, V., Gayno, G., & Tarpley,
J. D. (2003). Implementation of Noah land surface model advances in the National Centers for
environmental prediction operational mesoscale eta model. Journal of Geophysical Research:
Atmospheres, 108(D22), 8851. https://doi.org/10.1029/2002JD003296.
Funk, C. C., & Brown, M. E. (2006). Intra-seasonal NDVI change projections in semi-arid Africa.
Remote Sensing of Environment, 101(2), 249–256. https://doi.org/10.1016/j.rse.2005.12.014.
Gardner, B. R., Blad, B. L., & Watts, D. G. (1981). Plant and air temperatures in differentiallyirrigated corn. Agricultural Meteorology, 25, 207–217. https://doi.org/10.1016/0002-1571(81)
90073-X.
Hain, C. R., Crow, W. T., Anderson, M. C., & Tugrul Yilmaz, M. (2015). Diagnosing neglected soil
moisture source–sink processes via a thermal infrared–based two-source energy balance model.
Journal of Hydrometeorology, 16(3), 1070–1086. https://doi.org/10.1175/JHM-D-14-0017.1.
Houser, P. R., James Shuttleworth, W., Famiglietti, J. S., Gupta, H. V., Syed, K. H., & Goodrich,
D. C. (1998). Integration of soil moisture remote sensing and hydrologic modeling using data
assimilation. Water Resources Research, 34(12), 3405–3420. https://doi.org/10.1029/
1998WR900001.
Jackson, R. D., Idso, S. B., Reginato, R. J., & Pinter, P. J. (1981). Canopy temperature as a crop
water stress Indicator. Water Resources Research, 17(4), 1133–1138. https://doi.org/10.1029/
WR017i004p01133.
Jackson, R. D., Hatfield, J. L., Reginato, R. J., Idso, S. B., & Pinter, P. J. (1983). Estimation of daily
evapotranspiration from one time-of-day measurements. Agricultural Water Management, 7
(1–3), 351–362. https://doi.org/10.1016/0378-3774(83)90095-1.
Jarlan, L., Tourre, Y. M., Mougin, E., Philippon, N., & Mazzega, P. (2005). Dominant patterns of
AVHRR NDVI interannual variability over the Sahel and linkages with key climate signals
(1982–2003). Geophysical Research Letters, 32(4), L04701. https://doi.org/10.1029/
2004GL021841.
Ji, L., & Peters, A. J. (2003). Assessing vegetation response to drought in the northern Great Plains
using vegetation and drought indices. Remote Sensing of Environment, 87(1), 85–98. https://doi.
org/10.1016/S0034-4257(03)00174-3.
Ji, L., Gallo, K., Eidenshink, J. C., & Dwyer, J. (2008). Agreement evaluation of AVHRR and
MODIS 16-day composite NDVI data sets. International Journal of Remote Sensing, 29(16),
4839–4861. https://doi.org/10.1080/01431160801927194.
Kerr, Y. H., Waldteufel, P., Wigneron, J. P., Martinuzzi, J., Font, J., & Berger, M. (2001). Soil
moisture retrieval from space: The soil moisture and ocean salinity (SMOS) mission. IEEE
Transactions on Geoscience and Remote Sensing, 39(8), 1729–1735. https://doi.org/10.1109/
36.942551.
318
A. L. Yagci and M. T. Yilmaz