Copyright (c) 2009 Purdue University All rights reserved. http://docs.lib.purdue.edu/jto Recent documents in Journal of Terrestrial Observation en-us Thu, 19 Nov 2009 16:10:01 PST 3600 http://docs.lib.purdue.edu/jto/vol1/iss2/art8 http://docs.lib.purdue.edu/jto/vol1/iss2/art8 Fri, 06 Mar 2009 05:06:56 PST M. M. Yagoub http://docs.lib.purdue.edu/jto/vol1/iss2/art7 http://docs.lib.purdue.edu/jto/vol1/iss2/art7 Fri, 06 Mar 2009 05:06:55 PST Barrett S. Caldwell http://docs.lib.purdue.edu/jto/vol1/iss2/art6 http://docs.lib.purdue.edu/jto/vol1/iss2/art6 Fri, 06 Mar 2009 05:06:54 PST Molly K. Macauley http://docs.lib.purdue.edu/jto/vol1/iss2/art5 http://docs.lib.purdue.edu/jto/vol1/iss2/art5 Fri, 06 Mar 2009 05:06:53 PST Yongyut Trisurat http://docs.lib.purdue.edu/jto/vol1/iss2/art4 http://docs.lib.purdue.edu/jto/vol1/iss2/art4 Fri, 06 Mar 2009 05:06:52 PST Matthew Huber http://docs.lib.purdue.edu/jto/vol1/iss2/art3 http://docs.lib.purdue.edu/jto/vol1/iss2/art3 Fri, 06 Mar 2009 05:06:51 PST Marion F. Baumgardner http://docs.lib.purdue.edu/jto/vol1/iss2/art2 http://docs.lib.purdue.edu/jto/vol1/iss2/art2 Fri, 06 Mar 2009 05:06:50 PST Gilbert L. Rochon http://docs.lib.purdue.edu/jto/vol1/iss2/art1 http://docs.lib.purdue.edu/jto/vol1/iss2/art1 Fri, 06 Mar 2009 05:06:48 PST http://docs.lib.purdue.edu/jto/vol1/iss1/art8 http://docs.lib.purdue.edu/jto/vol1/iss1/art8 Fri, 16 May 2008 16:12:18 PDT Many attempts to observe changes in terrestrial systems over time would be significantly enhanced if it were possible to improve the accuracy of classifications of low-resolution historic satellite data. In an effort to examine improving the accuracy of historic satellite image classification by combining satellite and air photo data, two experiments were undertaken in which low-resolution multispectral data and high-resolution panchromatic data were combined and then classified using the ECHO spectral-spatial image classification algorithm and the Maximum Likelihood technique. The multispectral data consisted of 6 multispectral channels (30-meter pixel resolution) from Landsat 7. These data were augmented with panchromatic data (15m pixel resolution) from Landsat 7 in the first experiment, and with a mosaic of digital aerial photography (1m pixel resolution) in the second. The addition of the Landsat 7 panchromatic data provided a significant improvement in the accuracy of classifications made using the ECHO algorithm. Although the inclusion of aerial photography provided an improvement in accuracy, this improvement was only statistically significant at a 40-60% level. These results suggest that once error levels associated with combining aerial photography and multispectral satellite data are reduced, this approach has the potential to significantly enhance the precision and accuracy of classifications made using historic remotely sensed data, as a way to extend the time range of efforts to track temporal changes in terrestrial systems. Daniel J. Getman http://docs.lib.purdue.edu/jto/vol1/iss1/art7 http://docs.lib.purdue.edu/jto/vol1/iss1/art7 Fri, 16 May 2008 16:12:16 PDT Remote measurements of different environmental parameters received during last 30 years are used for the synthesis of a Complex Simulation Model (CSM) describing the combined water regimes of the Aral-Caspian System (ACS) including the consideration of aquatic and climatic natural processes. The problem of stabilizing the sea levels of these two water bodies is modelled and a solution obtained through implementation of a modeling system, including the CSM, remote measurements database, data processing sub-block, surface cover recognition sub-block, and user interface. A set of scenarios to control the ACS water regime is investigated. The role of remote sensing methods for the estimation of water balance components and synoptic situations is also evaluated. The main purpose of the computer experiments is in the search of a scenario for control of the water regime in the ACS under the realization of which the Aral Sea level will increase and the Caspian Sea level will decrease. The results of this research indicate that there is a regime for ACS water control under which it is possible to stabilize the Aral and Caspian Sea levels at their 1960 level within twelve to fifteen years. This would be implemented by the transport of water from the open portion of the Caspian Sea into saline lowlands and the Kara-Bogaz-Gol Gulf, located on its eastern shore, thus facilitating rapid evaporation followed by the movement of atmospheric moisture into the Aral Sea basin. The scenario "evaporation/precipitation" when the Caspian Sea level is lowered by increasing the flow of its waters to other reservoirs/evaporators is evaluated. Such reservoirs are the area of saline lands and depressions situated in the East Caspian Sea coast. Their absolute levels are below the recent Caspian Sea level. The results of this investigation show that the formation of an adaptive measurements system with the interchange of remote measurements and mathematical modeling provides a reliable evaluation of the ACS. This will lead to the creation of a system capable of predicting the dynamics of natural processes and assessing long-term consequences of large-scale global-change effects on the ACS. Vladimir F. Krapivin