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 …

Automated plant species identification—Trends and future directions

J Wäldchen, M Rzanny, M Seeland… - PLoS computational …, 2018 - journals.plos.org
Current rates of species loss triggered numerous attempts to protect and conserve
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 …

Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery

T Kattenborn, J Eichel, FE Fassnacht - Scientific reports, 2019 - nature.com
Recent technological advances in remote sensing sensors and platforms, such as high-
resolution satellite imagers or unmanned aerial vehicles (UAV), facilitate the availability of …

Going deeper in the automated identification of Herbarium specimens

J Carranza-Rojas, H Goeau, P Bonnet… - BMC evolutionary …, 2017 - Springer
Background Hundreds of herbarium collections have accumulated a valuable heritage and
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

T Kattenborn, J Eichel, S Wiser… - Remote Sensing in …, 2020 - Wiley Online Library
Abstract Unmanned Aerial Vehicles (UAV) greatly extended our possibilities to acquire high
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

MM Nowak, K Dziób, Ł Ludwisiak, J Chmiel - Global Ecology and …, 2020 - Elsevier
Geographical location and object description is an important aspect in field research,
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

T Mesaglio, H Sauquet, D Coleman, E Wenk… - New …, 2023 - Wiley Online Library
The photographic record is increasingly becoming an important biodiversity resource for
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 …

[PDF][PDF] Plant identification based on noisy web data: the amazing performance of deep learning (LifeCLEF 2017)

H Goeau, P Bonnet, A Joly - 2017 - agritrop.cirad.fr
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 …