Machine learning for image based species identification
J Wäldchen, P Mäder - Methods in Ecology and Evolution, 2018 - Wiley Online Library
Accurate species identification is the basis for all aspects of taxonomic research and is an
essential component of workflows in biological research. Biologists are asking for more …
essential component of workflows in biological research. Biologists are asking for more …
Automated plant species identification—Trends and future directions
Current rates of species loss triggered numerous attempts to protect and conserve
biodiversity. Species conservation, however, requires species identification skills, a …
biodiversity. Species conservation, however, requires species identification skills, a …
[HTML][HTML] From parcel to continental scale–A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations
R d'Andrimont, A Verhegghen, G Lemoine… - Remote sensing of …, 2021 - Elsevier
Detailed parcel-level crop type mapping for the whole European Union (EU) is necessary for
the evaluation of agricultural policies. The Copernicus program, and Sentinel-1 (S1) in …
the evaluation of agricultural policies. The Copernicus program, and Sentinel-1 (S1) in …
Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery
Recent technological advances in remote sensing sensors and platforms, such as high-
resolution satellite imagers or unmanned aerial vehicles (UAV), facilitate the availability of …
resolution satellite imagers or unmanned aerial vehicles (UAV), facilitate the availability of …
Going deeper in the automated identification of Herbarium specimens
Background Hundreds of herbarium collections have accumulated a valuable heritage and
knowledge of plants over several centuries. Recent initiatives started ambitious preservation …
knowledge of plants over several centuries. Recent initiatives started ambitious preservation …
Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery
Abstract Unmanned Aerial Vehicles (UAV) greatly extended our possibilities to acquire high
resolution remote sensing data for assessing the spatial distribution of species composition …
resolution remote sensing data for assessing the spatial distribution of species composition …
[HTML][HTML] Mobile GIS applications for environmental field surveys: A state of the art
Geographical location and object description is an important aspect in field research,
regardless of the spatial scale. Throughout time, environmental researchers have been …
regardless of the spatial scale. Throughout time, environmental researchers have been …
Photographs as an essential biodiversity resource: drivers of gaps in the vascular plant photographic record
The photographic record is increasingly becoming an important biodiversity resource for
primary research and conservation monitoring. However, globally, there are important gaps …
primary research and conservation monitoring. However, globally, there are important gaps …
CNN-based tree species classification using high resolution RGB image data from automated UAV observations
S Egli, M Höpke - Remote Sensing, 2020 - mdpi.com
Data on the distribution of tree species are often requested by forest managers, inventory
agencies, foresters as well as private and municipal forest owners. However, the automated …
agencies, foresters as well as private and municipal forest owners. However, the automated …
[PDF][PDF] Plant identification based on noisy web data: the amazing performance of deep learning (LifeCLEF 2017)
The 2017 fith edition of the LifeCLEF plant identification challenge is an important milestone
towards automated plant identification systems working at the scale of continental floras with …
towards automated plant identification systems working at the scale of continental floras with …