DocumentCode :
3061443
Title :
JAXA High Resolution Land-Use and Land-Cover Map of Japan
Author :
Takahashi, Masaharu ; Nasahara, Kenlo Nishida ; Tadono, Takeo ; Watanabe, Toshio ; Dotsu, Masanori ; Sugimura, Toshiro ; Tomiyama, N.
Author_Institution :
Earth Obs. Res. Center, Japan Aerosp. Exploration Agency, Tsukuba, Japan
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2384
Lastpage :
2387
Abstract :
Japan Aerospace Exploration Agency creates the “JAXA High Resolution Land-Use and Land-Cover Map (JHR LULC Map)” in Japan. The data was acquired by the Advanced Visible and Near Infrared Radiometer type 2 (AVNIR-2), onboard the Advanced Land Observation Satellite. Ortho-rectification, atmospheric and slope correction were applied to the AVNIR-2 data. The number of the input data for the classification is 1,876 scenes which were acquired from April 28, 2006 to April 15, 2011. The classification categories are 1) water, 2) urban, 3) paddy, 4) crop, 5) grass, 6) deciduous forest, 7) evergreen forest, 8) bare land, and 9) snow and ice. Pixel spacing of the JHR LULC Map is 0.000278° and 0.000333° for the latitude and longitude, respectively. The temporal classification accuracy was found to be 89.3%, which was calculated using the validated accuracy of the classification multiplied by the surface ratio in each category by the Ministry of Internal Affairs and Communications.
Keywords :
geophysical image processing; geophysical techniques; image classification; image segmentation; land cover; land use; remote sensing; vegetation; AD 2006 04 28 to 2011 04 15; AVNIR-2 data; Advanced Land Observation Satellite; Advanced Visible and Near Infrared Radiometer type 2; JAXA high resolution land-cover map; JAXA high resolution land-use map; JHR LULC map; Japan Aerospace Exploration Agency; Ministry of Internal Affairs and Communications; atmospheric correction; bare land; deciduous forest; evergreen forest; land cover classification; ortho-rectification correction; slope correction; Accuracy; Agriculture; Educational institutions; Image resolution; Land surface; MODIS; Satellites; ALOS; AVNIR-2; NDVI; PALSAR; PRISM; land cover classification; vegetation phenology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723299
Filename :
6723299
Link To Document :
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