Technology

Eye in the Sky: The use of innovative SAR technology and new GIS tools to aid environmental compliance and monitoring.

Eye is the Sky will provide an overview of imaging technology and how it has been used in environmental litigation. The panel will also seek to address why state and federal environmental regulatory agencies have been slow to embrace these …

Carnivore conservation needs evidence-based livestock protection

Carnivore predation on livestock often leads people to retaliate. Persecution by humans has contributed strongly to global endangerment of carnivores. Preventing livestock losses would help to achieve three goals common to many human societies: preserve nature, protect animal welfare and safeguard human livelihoods. With public interest in carnivore conservation rising, many non-lethal interventions have been implemented. Between 2016-2018, four independent reviews synthesized 40 years of research on the effectiveness of lethal and non-lethal interventions for reducing predation on livestock. From 114 studies, the reviews arrived at strikingly similar conclusions: scarce quantitative comparisons of interventions and scarce comparisons against experimental controls preclude strong inference about the effectiveness of methods. If policy is meant to regulate the use of public resources invested in protecting livestock and carnivores, then evidence of effectiveness should be a prerequisite to, or at a minimum measured during, policy-making or large-scale funding or implementation of an unproven method.

Conservation workflows in Earth Engine

Interested in using Earth Engine for conservation work? This is the session for you. Dave Thau will give a quick overview of conservation-related efforts and datasets in Earth Engine. We'll have summit participants from Conservation International, Defenders of Wildlife, UNEP-WCMC, and World Wildlife Fund present the work they've been doing with Earth Engine. And we'll have plenty of time to discuss other Earth Engine applications in conservation, and to brainstorm about useful datasets and algorithms.