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Displaying 556 - 560 of 661Estimating impervious surfaces from medium spatial resolution imagery: a comparison between fuzzy classification and LSMA
Impervious surfaces are important environmental indicators and are related to many environmental issues, such as water quality, stream health and the urban heat island effect. Therefore, detailed impervious surface information is crucial for urban planning and environment management. To extract impervious surfaces from remote sensing imagery, many algorithms and techniques have been developed. However, there are still debates over the strengths and limitations of linear versus nonlinear algorithms in handling mixed pixels in the urban landscapes.
Talking Sustainability: Identification and Division in an Iowa Community
This study investigates how sustainability and its inherent values figure into farmers' discourse, i.e., how farmers and members of farming communities talk about sustainability. We conducted qualitative interviews of various individuals in a single Iowa community to determine whether the visions guiding their land management choices resembled at all the ideals of a sustainable agriculture. Using Kenneth Burke's concepts of identification and division, we rhetorically analyzed the interview transcripts.
Influence of land use patterns on some limnological characteristics in the south-eastern part of Lake Victoria, Tanzania
To investigate the influence of human activities on limnological characteristics of Lake Victoria, we analyzed inorganic nutrient concentrations, phytoplankton diversity and biomass at three locations with different land use patterns: Mwanza (urban/industrial), Magu (agricultural) and Kayenze (sparsely populated). Mwanza had significantly higher ammonia concentration compared to Kayenze and Magu. At the shoreline stations, significantly higher nitrate concentration was observed at Mwanza compared to Kayenze and Magu.
Towards long-multitemporal change detection using SVI differencing by integrated DWT–ISOCLUS: a model for forest temporal dynamics mapping
Characterisation and mapping of land cover/land use within forest areas over long-multitemporal intervals is a complex task. This complexity is mainly due to the location and extent of such areas and, as a consequence, to the lack of full continuous cloud-free coverage of those large regions by one single remote sensing instrument. In order to provide improved long-multitemporal forest change detection using Landsat MSS and ETM + in part of Mt.
Production of global land cover data – GLCNMO
Global land cover is one of the fundamental contents of Digital Earth. The Global Mapping project coordinated by the International Steering Committee for Global Mapping has produced a 1-km global land cover dataset – Global Land Cover by National Mapping Organizations. It has 20 land cover classes defined using the Land Cover Classification System. Of them, 14 classes were derived using supervised classification. The remaining six were classified independently: urban, tree open, mangrove, wetland, snow/ice, and water.