Integration of multi source data for Land Cover Monitoring
Toshiya Gotoh, koji Kajiwara,Ryitaro Tatelishi
Remote Sensing and image Research Center, Chiba University
1-33 Yayoicho ,Chiba-si Japan.
Abstract
Asian region was classified into 15 to 17 land cover types by unsupervised classification method using NOAA / GVI and AVHRR channel -4 data in 1987 Classification was carried out using 1) GVI data only 2) channel -4 data only or 3) Combination if GVI channel -4 data .The relation of resultant classes elevation were also examined,
Introduction.
There have been rising a need for global scale land cover monitoring for this purpose it is necessary to build Geographic information system includes integrated data from various source such as satellite data and geographic data.
In this study part of these data NOAA Global Vegetation Index (GVI) data NOAA AVHRR Channel -4 data elevation data latitude data were used The GVI data were already to classify land cover is some studies in the view point of vegetation penology since its availability coarse resolution and relatively short interval are suitable for classification of large area from sub continental to global scale AVHRR channel 4 data were used for land cover monitoring since channel 4 data have the information of surface temperature and snow cover elevation and latitude data were also used to investigate to the relationships between them and classified land cover types.
Data.
- GVI data.
GVI data is products of NOAA / NESDIS (National Environment Satellite, Data and information service) it is produced from AVHRR channel -1 and -2 scaled Normalized Vegetation index (SNVI) is calculated as follows.
The format of data used in this study was plate career with the resolution of 16 km at the equator size of 2500 by 904 latitude and longitude grid an the region between 75° north and 55° south it is available in the form of weekly composite data.
- AVHRR channel-4 data
GOES count (Intended originally for use with geostationary satellites) derived from AVHRR channel -4 data isavialable.
The format and observation interval of GOES count were same as GVI data. GOES count is scaled brightness temperature calculated as follows,
GOES = C x TA + D
Where TA is absolute temperature in Kelvin C and D are constants.
- Elevation data.
The data called ETOPO5 is a product of NOAA / National Geophysical data center (NGDC) it contains alter metric and bathymetric data with the unit of one meter the resolution is 5' and 5' latitude longitude in order to process with other data it was converted in to GVI format as mentioned above it was also used as the preliminary mask to extracting land area.
