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Displaying 631 - 635 of 661Spatio-temporal errors in land–cover change analysis: implications for accuracy assessment
This research examined the spatial and temporal patterns of error in time-series classified maps as a first step to creating a model to propagate error in post-classification change analysis. Two Landsat images were acquired for Pittsfield Township, MI, USA, classified, and overlaid to produce a map of change. Error variables were created for the classified maps. Hypotheses were proposed describing the spatial and temporal structures of error in the classified maps, and evaluated using geostatistics and point pattern analysis.
Effects of temperature change on water discharge, and sediment and nutrient loading in the lower Pearl River basin based on SWAT modelling
The impact of climate change on hydrological processes and nutrient input is one of the major uncertainties in projecting future global warming. The Soil and Water Assessment Tool (SWAT) model is applied to simulate the effects of temperature on the hydrology and sediment and nutrient load in the lower Pearl River Basin, South China. Calibration and validation results for SWAT showed that the Yamen estuary is appropriate for simulating the impacts of temperature change on both hydrological processes and nutrient input.
Time–space radiometric normalization of TM/ETM+ images for land cover change detection
A novel approach to image radiometric normalization for change detection is presented. The approach referred to as stratified relative radiometric normalization (SRRN) uses a time-series of imagery to stratify the landscape for localized radiometric normalization. The goal is to improve the detection accuracy of abrupt land cover changes (human-induced, natural disaster, etc.) while decreasing false detection of natural vegetation changes that are not of interest. These vegetation changes may be associated with such phenomena as phenology, growth and stress (e.g.
Validation of GIS layers in the EU: getting adapted to available reference data
An optimal validation of a thematic map would ideally require in-situ observations of a large sample of units specifically conceived for the map under validation. This is often not possible due to budget limitations. The alternative can be using photo-interpretation of high or very high resolution images instead of in-situ observations or using available data sets that do not fully comply with the ideal characteristics: unit size, reference date or sampling plan. This paper illustrates some examples of use of available data in the European Union.
Economic Integration, Rural Hardship, and Conservation on Guatemala's Agricultural Frontier
Despite decades of attention by conservationists, deforestation remains a critical problem in Latin America, particularly in agricultural frontiers like the Amazon and the lowlands of Central America. The limited impact of conservation initiatives in such regions stems partly from a poor understanding of the socioeconomic and land use dynamics that typify frontiers. Moreover, conservation organizations tend to disregard the economic and policy factors at various scales that contribute to deforestation pressures in developing countries.