Review on Convolutional Neural Networks (CNN) in vegetation remote sensing

T Kattenborn, J Leitloff, F Schiefer, S Hinz - ISPRS journal of …, 2021 - Elsevier
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 …

Rewilding complex ecosystems

A Perino, HM Pereira, LM Navarro, N Fernández… - Science, 2019 - science.org
BACKGROUND Rapid global change is creating fundamental challenges for the persistence
of natural ecosystems and their biodiversity. Conservation efforts aimed at the protection of …

A function-based typology for Earth's ecosystems

DA Keith, JR Ferrer-Paris, E Nicholson, MJ Bishop… - Nature, 2022 - nature.com
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 …

Time to integrate global climate change and biodiversity science‐policy agendas

N Pettorelli, NAJ Graham, N Seddon… - Journal of Applied …, 2021 - Wiley Online Library
There is an increasing recognition that, although the climate change and biodiversity crises
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

X Zhu, F Cai, J Tian, TKA Williams - Remote Sensing, 2018 - mdpi.com
Satellite time series with high spatial resolution is critical for monitoring land surface
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

E Nicholson, KE Watermeyer, JA Rowland… - Nature Ecology & …, 2021 - nature.com
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 …

Future scenarios impact on land use change and habitat quality in Lithuania

E Gomes, M Inácio, K Bogdzevič, M Kalinauskas… - Environmental …, 2021 - Elsevier
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 …

[HTML][HTML] Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation

G Giuliani, P Mazzetti, M Santoro, S Nativi… - International Journal of …, 2020 - Elsevier
Land degradation is a critical issue globally requiring immediate actions for protecting
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

J Luo, T Zhao, L Cao, F Biljecki - Landscape and Urban Planning, 2022 - Elsevier
Traditional approaches for visual perception and evaluation of river landscapes adopt on-
site surveys or assessments through photographs. The former is expensive, hindering large …

Making rewilding fit for policy

N Pettorelli, J Barlow, PA Stephens… - Journal of Applied …, 2018 - Wiley Online Library
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 …