Multitemporal Analysis Using Landsat Thematic Mapper (TM) Bands for Forest Cover Classification in East Texas

Estimating regional forest cover in East Texas using Enhanced Thematic Mapper (ETM+) data

The USDA Forest Service, through its Forest Inventory and Analysis (FIA) program, periodically estimates forest/non-forest area at the county level using aerial photographs. Satellite-based remotely sensed data and digital image processing techniques could substantially reduce the time required to generate this information. Satellites collect data on a repeat basis and with higher frequency tha...

Waveband Evaluation of Proposed Thematic Mapper in Forest Cover Classification

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 ...

Predicting temperate conifer forest successional stage distributions with multitemporal Landsat Thematic Mapper imagery

Forest succession is a fundamental ecological process which can impact the functioning of many terrestrial processes, such as water and nutrient cycling and carbon sequestration. Therefore, knowing the distribution of forest successional stages over a landscape facilitates a greater understanding of terrestrial ecosystems. One way of characterizing forest succession over the landscape is to use...

Processing of multitemporal Landsat TM imagery to optimize extraction of forest cover change features

Absfrucf-Digital procedures to optimize the information content of multitemporal Landsat TM data sets for forest cover change detection are described. Imagery from three different years (1984,1986, and 1990) were calibrated to exoatmospheric reflectance to minimize sensor calibration offsets and standardize data acquisition aspects. Geometric rectification was followed by atmospheric normalizat...

Land-cover classification in a moist tropical region of Brazil with Landsat Thematic Mapper imagery