Quantifying sugarcane production is critical for a wide range of applications, including crop management and decision making processes such as harvesting, storage, and forward selling. This study explored a novel model for predicting sugarcane yield in Bundaberg region from time series Landsat data. From the freely available Landsat archive, 98 cloud free (<40%) Landsat Thematic Mapper (TM) and...

This work reports a first attempt to use Landsat satellite imagery to identify possible urban microclimate changes in a city center after a seismic event that affected L'Aquila City (Abruzzo Region, Italy), on 6 April 2009. After the main seismic event, the collapse of part of the buildings, and the damaging of most of them, with the consequence of an almost total depopulation of the historic c...

This paper examines different approaches to remote sensing images classification. Included in the study are statistical approach, namely Gaussian maximum likelihood classifier, and two different neural networks paradigms: multilayer perceptron trained with EDBD algorithm, and ARTMAP neural network. These classification methods are compared on data acquired from Landsat-7 satellite. Experimental...

Digital data collected by Landsat II satellite were used to produce a vegetation map of Mt Tarawera, Rotorua, New Zealand. The accuracy of this map, when checked in the field, varied for each class of vegetation; low stature and cover vegetation were more reliably classified than tall forest. The average probability of a resolution unit being correctly classified (with 95% confidence limits) wa...

NASA has sponsored the creation of an orthorectified and geodetically accurate global land data set of Landsat Multispectral Scanner, Thematic Mapper, and Enhanced Thematic Mapper data, from the 1970s, circa 1990, and circa 2000, respectively, to support a variety of scientific studies and educational purposes. This is the first time a geodetically accurate global compendium of orthorectified m...

The Brazilian government annually assesses the extent of deforestation in the Legal Amazon for a variety of scientific and policy applications. Currently, the assessment requires the processing and storing of large volumes of Landsat satellite data. The potential for efficient, accurate, and less * Corresponding author address: Douglas C. Morton, University of Maryland, College Park, College Pa...

The Australian Government’s National Carbon Accounting System (NCAS) was developed to report land sector greenhouse gas emissions to the United Nations Framework Convention on Climate Change (UNFCCC) and its Kyoto Protocol. NCAS uses a national wall-to-wall time-series of Landsat (optical) satellite data from 1972 to 2010. Independent verification has shown that the analysis can generate a stab...

Currently available image fusion techniques are not efficient for fusing the new satellite images such as IKONOS and Landsat 7. Significant colour distortion is one of the major problems. Reasons for this distortion are analyzed in this paper. A new initial automatic solution for fusing the new images is introduced. The new solution has reached an optimum fusion result – with minimized colour d...

The 1993 U.S. hantavirus pulmonary syndrome (HPS) outbreak was attributed to environmental conditions and increased rodent populations caused by unusual weather in 1991- 92. In a case-control study to test this hypothesis, we estimated precipitation at 28 HPS and 170 control sites during the springs of 1992 and 1993 and compared it with precipitation during the previous 6 years by using rainfal...

Researchers interested in digital change detection are well aware that the present plethora of earth observation satellites brings with it a mixed blessing. The evolution of satellite technology has evolved rapidly with regard to changes in the spatial and spectral resolution of acquired data. This has revealed numerous research possibilities, with associated unique challenges, that were previo...