The structural characteristics of Light Detection and Ranging (LiDAR) data are increasingly used to classify urban environments at fine scales, but have been underutilized for distinguishing heterogeneous land covers over large urban regions due to high cost, limited spectral information, and the computational difficulties posed by inherently large data volumes.

The gap between point measurements made during a measurement campaign and the required discrete data of human thermal comfort in the form of maps could be overcome by statistical or numerical models. City planners usually demand thermal maps with a resolution below 50m. The required input data for the statistical models were meteorological data at high resolution as well as land use and land cover data including morphological data. Meteorological data were obtained through car traverses on a measuring campaign on hot summer days in July 2014.

Context Primates are one of the most charismatic and widely studied vertebrate groups. However, the study of new world primates in green patches within urban areas has been neglected. Such primates have been viewed as a source of human–animal conflict; however, their ecological importance to urban ecosystems and their role in human well being is poorly understood. Aims To increase understanding of both ecological and socioeconomical factors affecting the distribution, density and group sizes of urban marmosets in a large Brazilian city (Belo Horizonte).

Context Reptiles, especially snakes, can cause a fear reaction in the public and are, therefore, a good model to examine human–wildlife conflicts. Human city dwellers often respond to the presence of snakes or other reptiles by calling out the responsible agency for animal control, which has to mediate the situation. Aims To determine how the temporal and spatial occurrence of human–reptile conflicts were associated with environmental conditions and socio-economic factors in a large Brazilian city (Belo Horizonte).

Based on the same data source of Landsat TM/ETM+ in 1990s, 2000s and 2010s, all urban built-up areas in China are mapped mainly by human interpretation. Mapping results were checked and refined by the same analyst with the same set of criteria. The results show during the last 20 years urban areas in China have increased exponentially more than 2 times. The greatest area of urbanization changed from Northeastern provinces in 1990s to the Southeast coast of China in Jiangsu, Guangdong, Shandong, and Zhejiang in 2010s. Urban areas are mostly converted from croplands in China.

Declining urban tree canopy cover in the United States underscores the importance of elucidating factors that influence the distribution of urban trees. This is particularly relevant as most urban trees are located on private property while their canopies maintain ecosystem services that constitute public goods. Thus, municipalities establish institutions in the form of canopy cover goals and various policies to incentivize private actions to meet those goals.

Modeled carbon-dioxide (CO₂) emissions from an urban area are validated against direct eddy-covariance flux measurements. Detailed maps of modeled local carbon-dioxide emissions for a 4 km² residential neighborhood in Vancouver, BC, Canada are produced. Inputs to the emission model include urban object classifications (buildings, trees, land-cover) automatically derived from Light Detection and Ranging (LiDAR) and optical remote sensing in combination with census, assessment, traffic and measured radiation and climate data.

Ecosystem services (ESs) are gaining ground in urban policy as a key to attaining sustainable cities. However, strategic and land-use planners need operational and accessible tools to better understand the consequences of policy and planning measures. Based on a study of the City of Stockholm and its surrounding region, we argue that spatially explicit land-use mapping is a good base for modeling and visualizing the supply of urban ESs provided by different patterns of Service Providing Units.

CONTEXT: Insect species of different trophic level will respond differently to landscape configuration. OBJECTIVE: In this context we explore the way landscape structure affects the distribution and abundance of the whitefly Siphoninus phillyreae and its predator Clitostethus arcuatus in olive orchards. METHODS: Adult individuals of these two species were collected using sticky traps placed in 12 olive host patches in Argentina. Host patches were detected and quantified using Landsat 5 TM images. Different landscape metrics were estimated for the study area land covers.

Domestic cats are suspected to have an impact on wild populations of birds and small mammals, but published reports of predation on bats are either rare or anecdotal. We based our study on 1012 records of bats admitted at four wildlife rescue centres in peninsular Italy in 2009–2011.

The rapid growth of urban population in India is a cause of concern among country’s urban and town planners for efficient urban planning. The drastic growth of urban areas has resulted in sharp land use and land cover changes. In recent years, the significance of spatial data technologies, especially the application of remotely sensed data and geographical information systems (GIS) has been widely used. The present study investigates the urban growth of Tiruchirapalli city, Tamilnadu using IRS satellite data for the years 1989, 1992, 1995, 1998, 2001, 2004, 2007, and 2010.

This study estimates the effects of an urban growth boundary (UGB) on land development decisions in Knox County, TN, using a heteroscedastic probit model. With combined effects of increased land development within the city boundary and decreased development within the UGB and the neighboring town of Farragut after the implementation of UGB, the UGB of Knox County has been successful in urban revitalization within the city boundary and discouraging urban sprawl.