An efficient query strategy for integrated remote sensing and inventory (Spatial) databases

Ranga R. Vatsavai, Tom Burk, Shashi Shekhar, Mark H Hansen

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)115-123
Number of pages9
JournalProceedings of the International Conference on Scientific and Statistical Database Management, SSDBM
StatePublished - 2001


  • Geostatistics
  • Region based queries
  • WebGIS
  • kNN


Dive into the research topics of 'An efficient query strategy for integrated remote sensing and inventory (Spatial) databases'. Together they form a unique fingerprint.

Cite this