Shrestha, R., Di, L., Yu, G., et al. (2013). Detection of flood and its impact on crops using NDVI –
Corn case. In 2013 Second international conference on agro-geoinformatics (Agrogeoinformatics) (pp. 200–204).
Shrestha, R., Di, L., Eugene, G. Y., et al. (2016). Regression based corn yield assessment using
MODIS based daily NDVI in Iowa state. In Agro-Geoinformatics (Agro-Geoinformatics), 2016
Fifth International Conference on (pp. 1–5). IEEE.
Shrestha, R., Di, L., Yu, E. G., et al. (2017). Regression model to estimate flood impact on corn
yield using MODIS NDVI and USDA cropland data layer. Journal of Integrative Agriculture,
16, 398–407.
Singh, R. P., Roy, S., & Kogan, F. (2003). Vegetation and temperature condition indices from
NOAA AVHRR data for drought monitoring over India. International Journal of Remote
Sensing, 24, 4393–4402.
Smith, L. C. (1997). Satellite remote sensing of river inundation area, stage, and discharge: A
review. Hydrological Processes, 11, 1427–1439.
Song, C., Woodcock, C. E., Seto, K. C., et al. (2001). Classification and change detection using
Landsat TM data: When and how to correct atmospheric effects? Remote Sensing of Environment, 75, 230–244.
Sun, D., Yu, Y., & Goldberg, M. D. (2011). Deriving water fraction and flood maps from MODIS
images using a decision tree approach. IEEE Journal of Selected Topics in Applied Earth
Observations and Remote Sensing, 4, 814–825. https://doi.org/10.1109/JSTARS.2011.
2125778.
Tao, T., & Kouwen, N. (1989). Remote sensing and fully distributed modeling for flood forecasting.
Journal of Water Resources Planning and Management, 115, 809–823.
Thomas, N., Hendrix, C., & Congalton, R. G. (2003). A comparison of urban mapping methods
using high-resolution digital imagery. Photogrammetric Engineering & Remote Sensing, 69,
963–972.
Townsend, P. A. (2002). Estimating forest structure in wetlands using multitemporal SAR. Remote
Sensing of Environment, 79, 288–304.
Tucker, C. J., Pinzon, J. E., Brown, M. E., et al. (2005). An extended AVHRR 8-km NDVI dataset
compatible with MODIS and SPOT vegetation NDVI data. International Journal of Remote
Sensing, 26, 4485–4498.
Unganai, L. S., & Kogan, F. N. (1998). Drought monitoring and corn yield estimation in Southern
Africa from AVHRR data. Remote Sensing of Environment, 63, 219–232.
Vining, K. C., Chase, K. J., & Loss, G. R. (2013). General weather conditions and precipitation
contributing to the 2011 flooding in the Mississippi River and Red River of the North Basins,
December 2010 through July 2011: Chapter B in 2011 floods of the central United States.
Reston, VA.
Viovy, N., Arino, O., & Belward, A. S. (1992). The Best Index Slope Extraction (BISE): A method
for reducing noise in NDVI time-series. International Journal of Remote Sensing, 13,
1585–1590.
Vorosmarty, C., Birkett, C., Dingman, L. et al. (1999). A report from the NASA post 2002 LSHP
planning workshop, Irvine CA.
Wang, Y., Colby, J. D., & Mulcahy, K. A. (2002). An efficient method for mapping flood extent in a
coastal floodplain using Landsat TM and DEM data. International Journal of Remote Sensing,
23, 3681–3696. https://doi.org/10.1080/01431160110114484.
Yang, C., Zhou, C., & Wan, Q. (1999). Deciding the flood extent with Radarsat SAR data and
image fusion. In Proceedings of 20th Asian Conference of Remote Sensing (pp. 22–25).
Yu, G., Di, L., Zhang, B., et al. (2013). Remote-sensing-based flood damage estimation using crop
condition profiles. In Agro-geoinformatics (Agro-geoinformatics), 2013 second international
conference on (pp. 205–210). https://doi.org/10.1109/Argo-Geoinformatics.2013.6621908.
16 Flood Monitoring and Crop Damage Assessment
349
Corn case. In 2013 Second international conference on agro-geoinformatics (Agrogeoinformatics) (pp. 200–204).
Shrestha, R., Di, L., Eugene, G. Y., et al. (2016). Regression based corn yield assessment using
MODIS based daily NDVI in Iowa state. In Agro-Geoinformatics (Agro-Geoinformatics), 2016
Fifth International Conference on (pp. 1–5). IEEE.
Shrestha, R., Di, L., Yu, E. G., et al. (2017). Regression model to estimate flood impact on corn
yield using MODIS NDVI and USDA cropland data layer. Journal of Integrative Agriculture,
16, 398–407.
Singh, R. P., Roy, S., & Kogan, F. (2003). Vegetation and temperature condition indices from
NOAA AVHRR data for drought monitoring over India. International Journal of Remote
Sensing, 24, 4393–4402.
Smith, L. C. (1997). Satellite remote sensing of river inundation area, stage, and discharge: A
review. Hydrological Processes, 11, 1427–1439.
Song, C., Woodcock, C. E., Seto, K. C., et al. (2001). Classification and change detection using
Landsat TM data: When and how to correct atmospheric effects? Remote Sensing of Environment, 75, 230–244.
Sun, D., Yu, Y., & Goldberg, M. D. (2011). Deriving water fraction and flood maps from MODIS
images using a decision tree approach. IEEE Journal of Selected Topics in Applied Earth
Observations and Remote Sensing, 4, 814–825. https://doi.org/10.1109/JSTARS.2011.
2125778.
Tao, T., & Kouwen, N. (1989). Remote sensing and fully distributed modeling for flood forecasting.
Journal of Water Resources Planning and Management, 115, 809–823.
Thomas, N., Hendrix, C., & Congalton, R. G. (2003). A comparison of urban mapping methods
using high-resolution digital imagery. Photogrammetric Engineering & Remote Sensing, 69,
963–972.
Townsend, P. A. (2002). Estimating forest structure in wetlands using multitemporal SAR. Remote
Sensing of Environment, 79, 288–304.
Tucker, C. J., Pinzon, J. E., Brown, M. E., et al. (2005). An extended AVHRR 8-km NDVI dataset
compatible with MODIS and SPOT vegetation NDVI data. International Journal of Remote
Sensing, 26, 4485–4498.
Unganai, L. S., & Kogan, F. N. (1998). Drought monitoring and corn yield estimation in Southern
Africa from AVHRR data. Remote Sensing of Environment, 63, 219–232.
Vining, K. C., Chase, K. J., & Loss, G. R. (2013). General weather conditions and precipitation
contributing to the 2011 flooding in the Mississippi River and Red River of the North Basins,
December 2010 through July 2011: Chapter B in 2011 floods of the central United States.
Reston, VA.
Viovy, N., Arino, O., & Belward, A. S. (1992). The Best Index Slope Extraction (BISE): A method
for reducing noise in NDVI time-series. International Journal of Remote Sensing, 13,
1585–1590.
Vorosmarty, C., Birkett, C., Dingman, L. et al. (1999). A report from the NASA post 2002 LSHP
planning workshop, Irvine CA.
Wang, Y., Colby, J. D., & Mulcahy, K. A. (2002). An efficient method for mapping flood extent in a
coastal floodplain using Landsat TM and DEM data. International Journal of Remote Sensing,
23, 3681–3696. https://doi.org/10.1080/01431160110114484.
Yang, C., Zhou, C., & Wan, Q. (1999). Deciding the flood extent with Radarsat SAR data and
image fusion. In Proceedings of 20th Asian Conference of Remote Sensing (pp. 22–25).
Yu, G., Di, L., Zhang, B., et al. (2013). Remote-sensing-based flood damage estimation using crop
condition profiles. In Agro-geoinformatics (Agro-geoinformatics), 2013 second international
conference on (pp. 205–210). https://doi.org/10.1109/Argo-Geoinformatics.2013.6621908.
16 Flood Monitoring and Crop Damage Assessment
349