Impacts of crop rotation on vegetation condition index for species-level drought monitoring

2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014

Volumn , Issue , 2014, Pages

  Shen, Yonglin ^a   Liu, Xiuguo ^a   Huang, Youxin ^a  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

Author keywords

corn; crop rotation; drought; remote sensing; vegetation condition index (VCI)

Indexed keywords

AGRICULTURAL ROBOTS; DROUGHT; FORESTRY; RADIOMETERS; REMOTE SENSING; ROTATION; TIME SERIES ANALYSIS; VEGETATION;

AGRICULTURAL DROUGHT; AGRICULTURAL PRACTICES; CORN; CROP ROTATION; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; NORMALIZED DIFFERENCE VEGETATION INDEX TIME SERIES; SATELLITE REMOTE SENSING; VEGETATION CONDITION INDICES;

CROPS;

EID: 84910020021     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/Agro-Geoinformatics.2014.6910603     Document Type: Conference Paper

References (14)

1. Y. Shen, L. Di, L. Wu, G. Yu, H. Tang, G. Yu, and Y. Shao. "Realtime estimation of corn progress stages using hidden Markov models with multisource features," Remote Sensing, vol. 5, no. 4, pp. 1734-1753, 2013.
2. R. Fensholt, K. Rasmussen, T.T. Nielsen, and C. Mbow. "Evaluation of earth observation based long term vegetation trends- Intercomparing NDVI time series trend analysis consistency of Sahel from AVHRR GIMMS, Terra MODIS and SPOT VGT data," Remote Sens. Environ., vol. 13, pp. 1886-1898, 2009.
3. F. N. Kogan. "Remote sensing of weather impacts on vegetation in non-homogeneous areas," Int. J. Remote Sens., vol. 11, pp. 1405-1419, 1990.
4. A. L. Yagci, L. Di, and M. Deng. "The effect of land-cover change on vegetation greenness-based satellite agricultural drought indicators: A case study in the southwest climate division of Indiana, USA," Int. J. Remote Sens., vol. 34, no.20, pp. 6947-6968, 2013.
5. J.M. Peña-Barragán, M.K. Ngugi; R.E. Plant, and J. Six. "Objectbased crop identification using multiple vegetation indices, textural features and crop phenology," Remote Sens. Environ., vol. 115, pp. 1301-1316, 2011.
6. M. Deng, A. L. Yagci, L.g Di. On crop rotation in calculating ndvibased agricultural drought indicators. IGARSS. 2014.
7. M. Deng, A. L. Yagci, L.g Di. Impacts of crop rotation on remote sensing based agricultural drought indicators. Presentation. Agro-Geoinformatics, 2013.
8. J. F. Brown, B. Wardlow, T. Tadesse, M. J. Hayes, and B. C. Reed. "The vegetation drought response index (VegDRI): A new integrated approach for monitoring drought stress in vegetation," GISCI. Remote Sens., vol. 45, pp. 16-46, 2008.
9. M. M. Al-Kaisi, R. W. Elmore, J. G. Guzman, H. M. Hanna, C. E. Hart, M. J. Helmers, E. W. Hodgson, A. W. Lenssen, A. P. Mallarino, A. E. Robertson, and J. E. Sawyer. "Drought impact on crop production and the soil environment: 2012 experiences from Iowa," J. Soil Water Conserv., vol. 68, no. 1, pp. 19A-24A, 2013.
10. U. S. Drought Monitor. http://droughtmonitor.unl.edu/ (verified 3 July, 2014).
11. Y. Shen; L. Di, G. Yu, and L. Wu. "Correlation between corn progress stages and fractal dimension from MODIS-NDVI time series," IEEE Geosci. Remote Sens. Lett., vol. 10, no. 5, pp. 1065-1069, 2013.
12. F. N. Kogan, A. Gitelson, E. Zakarin, L. Spivak, L. Lebed. "AVHRRbased spectral vegetation index for quantitative assessment of vegetation state and productivity: calibration and validation," Photogrammetric Eng. Remote Sens, vol. 69, pp. 899-906, 2003.
13. M. Svoboda, D. LeComte , M. Hayes, R. Heim, K. Gleason, J. Angel, B. Rippey, R. Tinker, M. Pallecki, and S. Stephens. "The drought monitor," Bull. Amer. Meteorol. Soc., vol. 83, pp. 1181-1190, 2002.
14. D. Luman, and T. Tweddale. "Assessment and potential of the 2007 USDA NASS cropland data layer for statewide annual land cover applications," Illinois Natural History Survey Technical Report, no. 49, 2008.