TY - GEN
T1 - Comparison of estimated transplanting dates derived from MODIS data and COSMO-SkyMed data
AU - Yamashita, Yuta
AU - Maki, Masayasu
AU - Homma, Koki
AU - Oki, Kazuo
AU - Shirakawa, Hiroaki
AU - Li, Yunqing
PY - 2013
Y1 - 2013
N2 - For prediction of rice yield at theregional and global scales, it is necessary to estimate the geographical distribution of transplanting date. An optical satellite sensor is helpful in estimating transplanting dates. In particular, MODIS data are often used. However, obtainingclearimages from MODIS is difficult because clouds often obscure areas of interest. On the other hand, the COSMO-SkyMeddata,which uses SARsensors, can supply data withhigh spatial and temporal resolution regardless of atmospheric conditions. However, continuous monitoring of transplanting dates has not previously been done using SAR data.In this paper, the geographical distribution of transplanting date was estimated from both MODIS images and COSMO-SkyMedimages, and the results were compared. The transplanting dates could be estimated accurately from COSMO-SkyMedimages, but there were several estimation failures from MODIS images; these failures wereprimarily due tolowspatial resolution.
AB - For prediction of rice yield at theregional and global scales, it is necessary to estimate the geographical distribution of transplanting date. An optical satellite sensor is helpful in estimating transplanting dates. In particular, MODIS data are often used. However, obtainingclearimages from MODIS is difficult because clouds often obscure areas of interest. On the other hand, the COSMO-SkyMeddata,which uses SARsensors, can supply data withhigh spatial and temporal resolution regardless of atmospheric conditions. However, continuous monitoring of transplanting dates has not previously been done using SAR data.In this paper, the geographical distribution of transplanting date was estimated from both MODIS images and COSMO-SkyMedimages, and the results were compared. The transplanting dates could be estimated accurately from COSMO-SkyMedimages, but there were several estimation failures from MODIS images; these failures wereprimarily due tolowspatial resolution.
KW - COSMO-SkyMed
KW - Landcover
KW - Rice paddy
KW - Terra/MODIS
KW - Transplanting date
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M3 - Conference contribution
AN - SCOPUS:84903470533
SN - 9781629939100
T3 - 34th Asian Conference on Remote Sensing 2013, ACRS 2013
SP - 70
EP - 77
BT - 34th Asian Conference on Remote Sensing 2013, ACRS 2013
PB - Asian Association on Remote Sensing
T2 - 34th Asian Conference on Remote Sensing 2013, ACRS 2013
Y2 - 20 October 2013 through 24 October 2013
ER -