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Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
Identifying and characterizing vascular plants in time and space is required in various
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
Rewilding complex ecosystems
BACKGROUND Rapid global change is creating fundamental challenges for the persistence
of natural ecosystems and their biodiversity. Conservation efforts aimed at the protection of …
of natural ecosystems and their biodiversity. Conservation efforts aimed at the protection of …
A function-based typology for Earth's ecosystems
Abstract As the United Nations develops a post-2020 global biodiversity framework for the
Convention on Biological Diversity, attention is focusing on how new goals and targets for …
Convention on Biological Diversity, attention is focusing on how new goals and targets for …
Time to integrate global climate change and biodiversity science‐policy agendas
There is an increasing recognition that, although the climate change and biodiversity crises
are fundamentally connected, they have been primarily addressed independently and a …
are fundamentally connected, they have been primarily addressed independently and a …
[HTML][HTML] Spatiotemporal fusion of multisource remote sensing data: Literature survey, taxonomy, principles, applications, and future directions
Satellite time series with high spatial resolution is critical for monitoring land surface
dynamics in heterogeneous landscapes. Although remote sensing technologies have …
dynamics in heterogeneous landscapes. Although remote sensing technologies have …
Artificial intelligence and automated monitoring for assisting conservation of marine ecosystems: A perspective
Conservation of marine ecosystems has been highlighted as a priority to ensure a
sustainable future. Effective management requires data collection over large spatio-temporal …
sustainable future. Effective management requires data collection over large spatio-temporal …
Future scenarios impact on land use change and habitat quality in Lithuania
Anticipating future land use and land cover (LULC) changes can improve our knowledge of
the complexity of human-environment interactions that lead to transformations in the …
the complexity of human-environment interactions that lead to transformations in the …
Scientific foundations for an ecosystem goal, milestones and indicators for the post-2020 global biodiversity framework
Despite substantial conservation efforts, the loss of ecosystems continues globally, along
with related declines in species and nature's contributions to people. An effective ecosystem …
with related declines in species and nature's contributions to people. An effective ecosystem …
Making rewilding fit for policy
Rewilding, here defined as “the reorganisation of biota and ecosystem processes to set an
identified social–ecological system on a preferred trajectory, leading to the self‐sustaining …
identified social–ecological system on a preferred trajectory, leading to the self‐sustaining …
[HTML][HTML] A review of remote sensing approaches for monitoring blue carbon ecosystems: Mangroves, seagrasses and salt marshes during 2010–2018
Blue carbon (BC) ecosystems are an important coastal resource, as they provide a range of
goods and services to the environment. They play a vital role in the global carbon cycle by …
goods and services to the environment. They play a vital role in the global carbon cycle by …