Spatially explicit information on tree species composition of managed and natural forests,
plantations and urban vegetation provides valuable information for nature conservationists …

Machine learning, an important branch of artificial intelligence, is increasingly being applied
in sciences such as forest ecology. Here, we review and discuss three commonly used …

This research aims to assess the urban growth and impact on land surface temperature
(LST) of Lahore, the second biggest city in Pakistan. In this research, various geographical …

Cellular Automata models are used for simulating spatial distributions and Markov Chain
models are used for simulating temporal changes. The main aim of this study is to …

Urban sprawl, also widely known as urbanization, is one of the significant problems in the
world. This research aims to assess and predict the urban growth and impact on land …

Generalization to novel domains is a fundamental challenge for computer vision. Near-
perfect accuracy on benchmarks is common, but these models do not work as expected …

Spatially-explicit information on forest composition provides valuable information to fulfil
scientific, ecological and management objectives and to monitor multiple changes in forest …

Urban tree species map** is an important prerequisite to understanding the value of
urban vegetation in ecological services. In this study, we explored the potential of bi …

C3 and C4 grass species discrimination has increasingly become relevant in understanding
their response to environmental changes and to monitor their integrity in providing goods …

This paper investigated the potential of multispectral airborne laser scanning (ALS) data for
individual tree detection and tree species classification. The aim was to develop a single …