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 …
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 …
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 …
[HTML][HTML] Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation
Land degradation is a critical issue globally requiring immediate actions for protecting
biodiversity and associated services provided by ecosystems that are supporting human …
biodiversity and associated services provided by ecosystems that are supporting human …
Semantic Riverscapes: Perception and evaluation of linear landscapes from oblique imagery using computer vision
Traditional approaches for visual perception and evaluation of river landscapes adopt on-
site surveys or assessments through photographs. The former is expensive, hindering large …
site surveys or assessments through photographs. The former is expensive, hindering large …
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 …