Inferring sandstone grain size using spectral datasets: An example from the Bresnahan Group, Western Australia

Uren, Ashley L.; Laukamp, Carsten; George, Annette D.; Occhipinti, Sandra; Aitken, Alan

doi:10.1016/j.rse.2020.112109

Cited by 6 publications

(1 citation statement)

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“…Nowadays, the increase in population and human activities is increasing the demand on urban areas. LULC study is essential for determining the current scenario and for managing natural resources and environmental problems [2,16]. In the last 30 years after independent Republic of Uzbekistan Tashkent become the political, social and economic capital, rapidly developing trend of urbanization has made significant changes of land use and land cover of the city.…”

Section: Introductionmentioning

confidence: 99%

Applying remote sensing techniques to monitor green areas in Tashkent Uzbekistan

et al. 2021

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Land use and land cover (LULC) change are one of the most important signals of regional environmental monitoring and study. Recently, the pull of capital cities has snowballed, an increasing number of people moving to the cities, especially in developing countries. Consequently, as more people arrive at cities, the more pressure will be on land. Land price getting high and constructions try using open green areas. A wide variety of green areas of different sizes will be solve many urban diseases and ecological problems at the same time improve the quality and life of urban residents, as urban green area provides various ecosystem services. The green area includes parks, woodlands, nature reserves and bare lands. With the population increase and expansion of cities, an increasing amount of open area, woodland and bare land has been converted into construction land, buildings due to the increasing demands and residential land. For the accuracy assessment, we applied an automatically supervised classification using the software QGIS 3.18. The reference values were based on ground truth data and visual interpretation.

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Section: Introductionmentioning

confidence: 99%