TY - JOUR
T1 - An efficient query strategy for integrated remote sensing and inventory (Spatial) databases
AU - Vatsavai, Ranga R.
AU - Burk, Tom
AU - Shekhar, Shashi
AU - Hansen, Mark H
PY - 2001
Y1 - 2001
N2 - The integration of disparate heterogeneous spatial databases for extending queries is a challenging task. In this paper we present a new framework, based on a k-nearest neighbor (kNN) algorithm, for integrating remote sensing imagery with Forest Inventory Analysis (FIA) sample point/plot data managed in a relational database system. We then demonstrate how queries to this system may be extended over any arbitrary region of interest in a web based Geographical Information System. To build the integrated database, spectral signatures are collected at FIA plot locations from the Landsat TM image. A plot-id image is produced by assigning each pixel to the closest FIA plot in multi-dimensional spectral space. The resulting image provides an interface to the Forest Inventory Analysis Data-Base (FIADB) and allows generalizations of the estimates for any user defined query window or region of interest (ROI). This methodology, along with geostatistical analysis, is integrated into a client/server, Web based Geographical Information System, which provides Internet users with an easy to use query interface for the FIADB and spatial databases.
AB - The integration of disparate heterogeneous spatial databases for extending queries is a challenging task. In this paper we present a new framework, based on a k-nearest neighbor (kNN) algorithm, for integrating remote sensing imagery with Forest Inventory Analysis (FIA) sample point/plot data managed in a relational database system. We then demonstrate how queries to this system may be extended over any arbitrary region of interest in a web based Geographical Information System. To build the integrated database, spectral signatures are collected at FIA plot locations from the Landsat TM image. A plot-id image is produced by assigning each pixel to the closest FIA plot in multi-dimensional spectral space. The resulting image provides an interface to the Forest Inventory Analysis Data-Base (FIADB) and allows generalizations of the estimates for any user defined query window or region of interest (ROI). This methodology, along with geostatistical analysis, is integrated into a client/server, Web based Geographical Information System, which provides Internet users with an easy to use query interface for the FIADB and spatial databases.
KW - FIADB
KW - Geostatistics
KW - Region based queries
KW - WebGIS
KW - kNN
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U2 - 10.1109/SSDM.2001.938544
DO - 10.1109/SSDM.2001.938544
M3 - Article
AN - SCOPUS:53949085996
SN - 1099-3371
SP - 115
EP - 123
JO - Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM
JF - Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM
ER -