Brownfields, idle or under-utilized urban areas, were identified in three parts of the Phoenix metropolitan area using a supervised classification technique using ERDAS Imagine. The brownfields were first evaluated in an area of south Phoenix used as a control site to establish sample training sites. These sites provided the basis for the supervised classification of an ASTER satellite image, w...

With improved spatial resolution of available satellite images and the ability to collect the stereo images within a short time period, the importance of satellite images for generating elevation information has grown. Most of the users try to use satellite images because of the reasonable time and cost for ordering. The speed of information generation by satellite sensors from planning to exec...

The automatic registration of multi-source remote sensing images (RSI) is a research hotspot of remote sensing image preprocessing currently. A special automatic image registration module named the Image Autosync has been embedded into the ERDAS IMAGINE software of version 9.0 and above. The registration accuracies of the module verified for the remote sensing images obtained from different pla...

Land is one of the prime natural resources. A city grows not only by population but also by changes in spatial dimensions. Urban population growth and urban sprawl induced land use changes and land transformation. The land transformation is a natural process and cannot be stopped but it can be regulated. Many geographical changes at the urban periphery are associated with the transfer of land f...

neighbouring countryside. In this study, UHI intensity is assessed using Landsat 8 data in Dar es Salaam, Tanzania. An ERDAS Imagine algorithm used to acquire the land surface temperature (LST) from data. The association of LST and normalized difference vegetation index (NDVI) as well build-up (NDBI) also assessed. outcome study shows that influence Salaam situated mainly built-up areas compare...

Land surface temperature (LST) is an essential factor in many areas like global climate change studies, urban land use/land cover, geo-/biophysical and also a key input for climate models. LANDSAT 8, the latest satellite from LANDSAT series, has given lot of possibilities to study the land processes using remote sensing. In this study an attempt has been made to estimate LST over Chittoor distr...

Recommended Citation Jones, Christine L., "Comparing remote sensing and ground-based methods of quantifying cover type and carbon storage in an urban forest", Master's report, 2011 2 This report, " Comparing remote sensing and ground-based methods of quantifying cover type and carbon storage in an urban forest " , is hereby approved in partial fulfillment of the requirements for the Degree of M...

When ordering very high resolution (VHR) imagery of IKONOS or QuickBird a cloud coverage up to 20 % within the scenes has to be accepted. This indicates the high impact of atmospheric conditions to VHR imagery. Beside clouds the images are influenced by haze oftentimes. This haze could be removed using new atmospheric correction algorithms, which were not available for VHR data so far. Furtherm...