This study* investigated computer classification performances for forest and other cover types using Thematic Mapper Simulator (TMS) data collected by NASA's NSOOI scanner. Specifically, results based on the use of a common feature selection measure -transformed divergence (TD) were compared to those based on a principal component transformation for the purpose of evaluating the capabilities of...

This paper predicts potential improvements offered by thematic mapper data over multispectral scanner data when utilized in regression estimation of crop .areas. A study comparing LANDSAT data and simulated thematic mapper data is described. Quantitative measures of potential improvements in crop-area estimates of corn, soybeans, and dense woodlands are calculated, and the sensor characteristic...

The Statewide Landcover and Trees Study (SLATS) is currently in the process of mapping woody change across the State of Queensland for the era 1999 to 2001. SLATS covers such a large area that Landsat Thematic Mapper (TM) imagery was chosen as the most effective data for this purpose. Since 1995 the woody change in Queensland has been mapped every two years. The 1999 to 2001 change era is the f...

We investigated the optimal spectral bands for the identification of lighting types and the estimation of four major indices used to measure the efficiency or character of lighting. To accomplish these objectives we collected high-resolution emission spectra (350 to 2,500 nm) for forty-three different lamps, encompassing nine of the major types of lamps used worldwide. The narrow band emission ...

This study involved the evaluation of the characteristics of multispectral scanner data relative to forest cover type mapping, using NASA's NS-OOI multispectral scanner to simulate the proposed Thematic Mapper (1M). The objectives were to determine: (1) the optimum number of wavebands to utilize in computer classifications of TM data; (2) which channel combinations provide the highest expected ...

Overstory vegetation maps of species and canopy cover were developed from Landsat 7 Thematic Enhanced Thematic Mapper satellite imagery. Ecosystem Monitoring plot data, collected during the 1997-2001 field seasons, were used as training sites for the image classification. Sixty-two species classes and four canopy cover classes were mapped. The maps will be used to support a Joint Fire Science P...