Welcome to DiSC 2002
SIGMOD 2001
PODS 2001
SIGMOD RECORD 2001
CIKM 2001
CoopIS 2001
DASFAA 2001
DASFAA 2000
DBPL 2001
Data Engineering Bul
DEXA_EC-WEB 2001
DMKD 2001
DPDJ 2001
HYPERTEXT 2001
ICDE 2001
ICDM 2001
ICDT 2001
JCDL 2001
KDD 2001
KDD_EXPLORATIONS 20
KRDB 2001
MDM 2001
MIR 2001
MIS 2001
RIDE 2001
SBBD 2001
SIGIR 2001
SIGIR FORUM 2001
SSDBM 2001
= SSDBM'01 Website
<<< = SSDBM'01 Papers>>>
SSTD 2001
TODS 2001
TIME 2001
VLDB 2001
VLDBJ 2001

An efficient query strategy for integrated Remote Sensing and inventory (Spatial) Databases


Ranga Raju Vatsavai, Thomas E. Burk, Shashi Shekhar, and Mark H. Hansen

  View Paper (PDF)  

Return to Query Processing, Optimization and Constraints


Abstract

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.


DiSC'02 © 2003 Association for Computing Machinery