Satellite-based multispectral imaging systems have been in operation since 1972 and the latest in the Landsat series of sensors was launched in July 1982. One system parameter of interest is resolution and this paper discusses experiments to determine the actual overall resolution after launch. Atmospheric effects and postprocessing effects add to the prelaunch optical resolution. Scene structu...

This paper describes a tree system approach which interpretates highways and rivers from LANDSAT pictures. The basic definitions of tree grammars and tree automaton and a grammatical inference procedure are first introduced. The interpretation process is conceived as a process of continuous verification of the hypothesized descriptions of objects in the picture. The LANDSAT imagery map of Lafay...

Measuring the aerial extent of tropical deforestation for other than localized areas requires the use of satellite data.We present evidence to show that an accurate determination of tropical deforestation is very di cult to achieve by a ‘random sampling’ analysis of Landsat or similar high spatial resolution data unless a very high percentage of the area to be studied is sampled. In order to a...

First posted February 18, 2022 For additional information, contact: Program Coordinator, National Land Imaging U.S. Geological Survey 12201 Sunrise Valley Drive Reston, VA 20192Contact Pubs Warehouse South Carolina’s subtropical climate, long coastline, and lower elevations make it highly susceptible to tornado hurricane activity coastal flooding. Projected sea-level rise is a growing concern. ...

The Thermal Infrared Sensor (TIRS) on Landsat 8 is the latest thermal sensor in that series of missions. Unlike the previous single-channel sensors, TIRS uses two channels to cover the 10–12.5 micron band. It is also a pushbroom imager; a departure from the previous whiskbroom approach. Nevertheless, the instrument requirements are defined such that data continuity is maintained. This paper des...

We used a sample of Landsat time-series stacks (LTSS) across the conterminous U.S., calibrated with Forest Inventory and Analysis (FIA) plot-level biomass data to estimate 20+ year trends in live, aboveground biomass. To help overcome some of the limitations associated with optical remote sensing of biomass stocks, we employed a pixel-level curve-fitting algorithm to leverage the information co...

The objectives of this investigation were to evaluate the EO-1 Hyperion hyperspectral sensor for mapping forest composition and structure in rugged terrain and to compare its performance with that of AVIRIS and the Landsat 7 Enhanced Thematic Mapper Plus (ETM+). The study focused on species composition mapping with Hyperion, AVIRIS, and Landsat using a study site in the Green Ridge State Forest...

This paper discusses an approach for extracting supporting evidence from multisource spatial data and by rule-based models to incorporate the evidence with pre-classified Landsat TM data for improving classification accuracy. The process was focused on the extracted "possibly misclassified pixels" (PMPs) only. Based on Dempster-Shafer's theory of evidence, the concepts of homogeneous, heterogen...

This present work evaluates the use of knowledge-based techniques for the analysis of medium-resolution satellite images of the Amazon, and estimates the impact they may bring to the task of mapping the deforestation in this region by. Landsat images of Rondônia State were submitted to a supervised classification; the editing of these classifications, an usually manual process that depends tota...