Detection and mapping of hail damage to corn using domestic remotely sensed data in China

Australian Journal of Crop Science

Volumn 6, Issue 1, 2012, Pages 101-108

  Zhao, J L ^a,b   Zhang, D Y ^a   Luo, J H ^a   Huang, S L ^c   Dong, Y Y ^a   Huang, W J ^a  

^a INSTITUTE OF PLANT AND ENVIRONMENT PROTECTION   (China)

^b INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

^c ANHUI UNIVERSITY   (China)

Author keywords

Change detection; Corn; Hail damage levels; HJ 1 CCD; NDVI; Remote sensing

Indexed keywords

ZEA MAYS;

EID: 84863042106     PISSN: 18352693     EISSN: 18352707     Source Type: Journal    
DOI: None     Document Type: Article

References (23)

1. Bentley MT, Mote TL, Thebpanya P (2002) Using Landsat to identify thunderstorm damage in agricultural regions. B Am Meteorol Soc 83:363-37
2. Changnon SA, Barron NA (1970) Quantification of crop-hail losses by aerial photography. J Appl Meteorol 10:86-96
3. Chen SR, Sun H, Zhang BJ (2009) Application research and implementation of drought monitoring by HJ-1A/1B satellites. Spacecraft Engineering 18:138-141 (in Chinese)
4. Erickson BJ, Johannsen CJ, Vorst JJ, Biehl LL (2004) Using remote sensing to assess stand loss and defoliation in maize. Photogramm Eng Rem S 70:717-722
5. Gillis MD, Pick RD, Leckie DG (1990) Satellite imagery assists in the assessment of hail damage for salvage harvest. Forest Chron 66:463-468
6. Golden JH, Snow JT (1991) Mitigation against extreme windstorms. Rev Geophys 29:477-504.
7. rd annual meeting of the American Meteorological Society, Long Beach, CA, 9-13 February 2003
8. Jedlovec GJ, Nair U, Haines SL (2006) Detection of storm damage tracks with EOS data. Weather Forecast 21:249-267
9. Kriegler FJ, Malila WA, Nalepka RF, Richardson W (1969) Preprocessing transformations and their effects on multispectral recognition. Paper presented at the proceedings of the sixth international symposium on remote sensing of the environment, University of Michigan, Ann Arbor, MI, 13-16 October 1969
10. Luedeke MKB, Ramge PH, Kohlmaier GH (1996) The use of satellite NDVI data for the validation of global vegetation phenology models: application to the Frankfurt biosphere model. Ecol Model 91:255-270
11. Lv TT, Liu C (2010) Study on extraction of crop information using time-series MODIS data in the Chao Phraya Basin of Thailand. Adv Space Res 45: 775-784
12. Mirza MMQ (2003) Climate change and extreme weather events: can developing countries adapt? Clim Policy 3:233-248
13. Parker MD, Ratcliffe IC, Henebry GM (2005) The July 2003 Dakota hailswaths: Creation, characteristics, and possible impacts. Mon Weather Rev 133:1241-1260
14. Peters AJ, Griffin SC, Vina A (2000) Use of remotely sensed data for assessing crop hail damage. Photogramm Eng Rem S 66:1349-1355
15. Ray TW (1994) A FAQ on vegetation in remote sensing. California Institute of Technology, Pasadena, California, USA
16. Roerink GJ, Menenti M (2000) Reconstructing cloudfree NDVI composites using Fourier analysis of time series. Int J Remote Sens 21:1911-1917
17. Rouse JW, Haas RH, Schell JA, Deering DW (1974) Monitoring vegetation systems in the Great Plains with ERTS. Paper presented at the proceedings of the third earth resources technology satellite-1 symposium, Goddard Space Flight Center, Washington, D.C., 10-14 December 1973
18. Tai FJ, Yuan ZL, Wu XL, Zhao PF, Hu XL, Wang W (2011) Identification of membrane proteins in maize leaves, altered in expression under drought stress through polyethylene glycol treatment. Plant Omics 4(5):250-256
19. Wang Q, Wu C Q, Li Q (2010) Environment Satellite 1 and its application in environmental monitoring. Journal of Remote Sensing 14:102-112 (in Chinese)
20. Wang ZT, Li Q, Tao JH., Li SS, Wang Q, Chen LF (2009) Monitoring of aerosol optical depth over land surface using CCD camera on HJ-1 satellite. China Environmental Science 29:902-907 (in Chinese)
21. Wardlow BD, Egbert SL (2008) Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains. Remote Sens Environ 112:1096-1116
22. Xin JF, Yu ZR, van Leeuwen L, Driessen PM (2002) Mapping crop key phenological stages in the North China Plain using NOAA time series images. Int J Appl Earth Obs 4:109-117
23. Young FR., Chandler O, Apan A (2004) Crop hail damage: insurance loss assessment using remote sensing. Paper presented at the proceedings of annual conference of the Remote Sensing and Photogrammetry Society, Aberdeen, UK, 7-10 September 2004