This article reviews studies regarding wild animal surveys based on multiple platforms,
including satellites, manned aircraft, and unmanned aircraft systems (UASs), and focuses on …

Understanding and addressing biodiversity declines across the globe will require
interdisciplinary practices that embrace multiple worldviews and weave knowledge systems …

Remotely sensed data can help to identify both suitable habitat for individual species, and
environmental conditions that foster species richness, which is important when predicting …

Understanding past and current patterns of species richness is essential for predicting how
these patterns may be affected by future global change. The species energy hypothesis …

Up‐to‐date and fine‐scale habitat information is essential for managing and conserving
wildlife. Studies assessing wildlife habitat commonly rely on categorical land‐cover maps as …

Aerial surveys conducted using manned or unmanned aircraft with customized camera
payloads can generate a large number of images. Manual review of these images to extract …

Aim Predicting biodiversity responses to global changes requires good models of species'
distributions. Both environmental conditions and human activities determine population …

Habitat connectivity is crucial for the conservation of species restricted to fragmented
populations within human-dominated landscapes. However, identifying habitat connectivity …

Continuous-based predictors of habitat characteristics derived from satellite imagery are
increasingly used in species distribution models (SDM). This is especially the case of …

The collection of field-based animal data is laborious, risky and costly in some areas, such
as various nature reserves. Although multiple studies have used satellite imagery, aerial …