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...

OF THESIS Use of Landsat Data to Characterize Burn Severity, Forest Structure and Invasion by Paulownia (Paulownia Tomentosa) in an Eastern Deciduous Forest, Kentucky Landsat imagery has been used successfully to assess burn severity and monitor postfire forest structure in a variety of ecosystems, but to date there are few documented studies on its application in the eastern deciduous forests ...

Owing to low temporal resolution and cloud interference, there is a shortage of high spatial resolution remote sensing data. To address this problem, this study introduces a modified spatial and temporal data fusion approach (MSTDFA) to generate daily synthetic Landsat imagery. This algorithm was designed to avoid the limitations of the conditional spatial temporal data fusion approach (STDFA) ...

Greenhouse mapping through remote sensing has received extensive attention over the last decades. In this article, the innovative goal relies on mapping greenhouses through the combined use of very high resolution satellite data (WorldView-2) and Landsat 8 Operational Land Imager (OLI) time series within a context of an object-based image analysis (OBIA) and decision tree classification. Thus, ...

The utility of satellite imagery for water quality studies in New York Harbor is investigated. Ground data from a routine sampling program (New York Harbor Water Quality Survey) are compared to imagery from the Landsat Thematic Mapper (TM) and Terra Moderate Resolution Imaging Spectroradiometer (MODIS) sensors. New York Harbor is a challenging environment for remote sensing because of the compl...

Irrigation has a significant impact on regional water resources in south-eastern Australia. It is therefore important that objective assessments of the current use of water are undertaken on a routine basis. New remote sensing technologies now provide an opportunity to assess and monitor water use at farm and regional scales. This study demonstrates the use of satellite-based estimates of evapo...

This paper describes the characteristics of a neural network image interpretation system that is designed to extract both rural land cover and urban land use from high spatial resolution imagery (e.g., digitized aerial photography, IKONOS imagery) and/or from relatively coarse spatial and spectral resolution remote sensor data (e.g., Landsat Thematic Mapper). The system consists of modules that...

High spatial resolution (∼100 m) thermal infrared band imagery has utility in a variety of applications in environmental monitoring. However, currently such data have limited availability and only at low temporal resolution, while coarser resolution thermal data (∼1000 m) are routinely available, but not as useful for identifying environmental features for many landscapes. An algorithm for shar...