This study adopted a differential land-use/landcover (LULC) analysis to evaluate dam-triggered land– atmosphere interactions for a number of LULC scenarios. Two specific questions were addressed: (1) can damtriggered LULC heterogeneities modify surface and energy budget, which, in turn, change regional convergence and precipitation patterns? (2) How extensive is the modification in surface mois...

This paper discusses the development and implementation of a geospatial data processing method and multi-decadal Landsat time series for computing general coastal U.S. land-use and land-cover (LULC) classifications and change products consisting of seven classes (water, barren, upland herbaceous, nonwoody wetland, woody upland, woody wetland, and urban). Use of this approach extends the observa...

Understanding how local land use and land cover (LULC) shapes intra-urban concentrations of atmospheric pollutants-and thus human health-is a key component in designing healthier cities. Here, NO₂ is modeled based on spatially dense summer and winter NO₂ observations in Portland-Hillsboro-Vancouver (USA), and the spatial variation of NO₂ with LULC investigated using random forest, an ensemble d...

Since its advent in 1972, the Landsat satellites have witnessed consistent improvements sensor characteristics, which significantly improved accuracy. In this study, a comparison of accuracy OLI and OLI-2 land use cover (LULC) mapping has been made. For this, image fusion techniques applied to enhance spatial resolution both multispectral images, then support vector machine (SVM) classifier use...

Urban forest ecosystems provide a range of social and ecological services, but due to the heterogeneity of these canopies their spatial extent is difficult to quantify and monitor. Traditional per-pixel classification methods have been used to map urban canopies, however, such techniques are not generally appropriate for assessing these highly variable landscapes. Landsat imagery has historical...

Global climate change and increasing urbanization worldwide intensify the need for a better understanding of human heat stress dynamics in urban systems. During heat waves, which are expected to increase in number and intensity, the development of urban cool islands could be a lifesaver for many elderly and vulnerable people. The use of remote sensing data offers the unique possibility to study...

One of the most valuable approaches in spatial analysis for a better understanding hydrological response region or watershed is certainly well-known land use cover (LULC) dynamicity. The present case study delves deeper into LULC dynamicity by using digital Landsat TM and OLI data to classify Kolkata Metropolitan Development Authority (KMDA) seven classes with over 90% classification accuracy d...

Landslide susceptibility depends on various causal factors such as geology, land use/land cover (LULC), slope, and elevation. Unlike other that are relatively stable over time, LULC is a dynamic factor associated with human activities. This study evaluates the impact of change landslide in Rangamati municipality district, Bangladesh, based three scenarios—the existing (2018) LULC, proposed (pro...

Accurate quantification of land use/cover change (LULCC) is important for efficient environmental management, especially in regions that are extremely affected by climate variability and continuous population growth such as West Africa. In this context, accurate LULC classification and statistically sound change area estimates are essential for a better understanding of LULCC processes. This st...