This paper deals with the evaluation of the performance of a set of classifiers on multispectral imagery with low dimensionality and low spatial and spectral resolutions. The original Landsat TM images and other 4 transformed sets are classified by 5 supervised and 2 unsupervised methods. The results for 7 land cover classes are compared and the performances of the methods for each set of input...

Cluster analysis ~ystem by using Statistical Analysis System (SAS) is constructed. The analysis system is applied to Landsat TM data. The s:x spectral bands except t~e thermal band of TM data are used for analysis. Three hierarchical algorithms of cluster analysIs, \\:,ard method, a,:,erag~ lmkage, and centroid method, are prepared in the framework of SAS cluster. The results by three alg;of1th...

Multi-sensor image fusion using the wavelet approach provides a conceptual framework for the improvement of the spatial resolution with minimal distortion of the spectral content of the source image. This paper assesses whether images with a large ratio of spatial resolution can be fused, and evaluates the potential of using such fused images for mapping the Brazilian Savanna. Three types of wa...

The launch of the Landsat-4 satellite in July 1982 provided the first full coverage from space of the .4-12 ~m spectrum of the earth scene. In addition to the green, red, and near IR bands of the MSS, the TM provides a band in the blue, two in the middle IR, and one thermal IR. The paper describes spectral class analysis of coincident MSS and TM data to evaluate the contribution of the addition...

Landform, drainage pattern, slope, soil, vegetation and land use/land cover, all of which control surface runoff and peak flow, can be evaluated and mapped reliably and reasonably through Landsat Thematic Mapper (TM) false colour composites of the post-monsoon season. Runoff curve numbers (CAO determined from those data predicted the runoff depth and peak flow with a coefficient of determinatio...

Most of fire severity studies use field measures of composite burn index (CBI) to represent forest fire severity and fit the relationships between CBI and Landsat imagery derived differenced normalized burn ratio (dNBR) to predict and map fire severity at unsampled locations. However, less attention has been paid on the multi-strata forest fire severity, which represents fire activities and eco...

PHOTOGRAMMETRIC ENGINEER ING & REMOTE SENS ING Novembe r 2008 1413 Abstract A comparison of land-cover maps, emphasizing row crop agriculture, resulting from independent classifications of coincident Landsat-5 Thematic Mapper (TM) and Resourcesat-1 Advanced Wide Field Sensor (AWIFS) imagery is presented. Three agriculturally intensive study areas within the midsection of the United States were ...

In this paper, the utility of Landsat TM imagery for water quality studies in East Texas is investigated. Remote sensing has an important and effective role in water quality management. Remote sensing satellites measure the amount of solar radiation reflected by surface water and the reflectance of water depend upon the concentration and character of water quality parameters. Three water qualit...

Knowledge of seedling regeneration in burn sites is a valuable aspect of ecosystem monitoring. Remote sensing methods are ideal for such monitoring since large spatial extents can be monitored at multiple time scales. The goal of this project was to asses how well hyperspectral AVIRIS data can discriminate the differences between seedling densities in postfire regenerating sites, as compared to...

Remote sensing using Landsat Thematic Mapper (TM) satellite imagery is increasingly used for mapping wildland fire burned area and burn severity, owing to its frequency of collection, relatively high resolution, and availability free of charge. However, rapid response of vegetation following fire and frequent cloud cover pose challenges to this approach in the southeastern US. We assessed these...