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Related papers: Bird Distribution Modelling using Remote Sensing a…

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In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled insect images, the BIOSCAN-Insect Dataset. Each record is taxonomically classified by an expert, and also has associated genetic information…

Forecasting future weather and climate is inherently difficult. Machine learning offers new approaches to increase the accuracy and computational efficiency of forecasts, but current methods are unable to accurately model uncertainty in…

Machine Learning · Computer Science 2023-02-02 Yusuke Hatanaka , Yannik Glaser , Geoff Galgon , Giuseppe Torri , Peter Sadowski

Understanding the spatio-temporal distribution of species is a cornerstone of ecology and conservation. By pairing species observations with geographic and environmental predictors, researchers can model the relationship between an…

Computer Vision and Pattern Recognition · Computer Science 2025-10-01 Christophe Botella , Benjamin Deneu , Diego Marcos , Maximilien Servajean , Theo Larcher , Cesar Leblanc , Joaquim Estopinan , Pierre Bonnet , Alexis Joly

Studying animal movement and distribution is of critical importance to addressing environmental challenges including invasive species, infectious diseases, climate and land-use change. Motion sensitive camera traps offer a visual sensor to…

Networking and Internet Architecture · Computer Science 2010-09-30 Roland Kays , Sameer Tilak , Bart Kranstauber , Patrick A. Jansen , Chris Carbone , Marcus J. Rowcliffe , Tony Fountain , Jay Eggert , Zhihai He

Birds are important indicators for monitoring both biodiversity and habitat health; they also play a crucial role in ecosystem management. Decline in bird populations can result in reduced eco-system services, including seed dispersal,…

Computer Vision and Pattern Recognition · Computer Science 2023-05-04 Carl Chalmers , Paul Fergus , Serge Wich , Steven N Longmore , Naomi Davies Walsh , Philip Stephens , Chris Sutherland , Naomi Matthews , Jens Mudde , Amira Nuseibeh

Tropical forests play an essential role in the planet's ecosystem, making the conservation of these biomes a worldwide priority. However, ongoing deforestation and degradation pose a significant threat to their existence, necessitating…

Computer Vision and Pattern Recognition · Computer Science 2025-01-14 Hugo Resende , Isabela Borlido , Victor Sundermann , Eduardo B. Neto , Silvio Jamil F. Guimarães , Fabio Faria , Alvaro Luiz Fazenda

Marine mammals are increasingly vulnerable to human disturbance and climate change. Their diving behavior leads to limited visual access during data collection, making studying the abundance and distribution of marine mammals challenging.…

Global environment monitoring is a task that requires additional attention in the contemporary rapid climate change environment. This includes monitoring the rate of deforestation and areas affected by flooding. Satellite imaging has…

Computer Vision and Pattern Recognition · Computer Science 2022-07-25 Dmytro Filatov , Ghulam Nabi Ahmad Hassan Yar

The current biodiversity loss crisis makes animal monitoring a relevant field of study. In light of this, data collected through monitoring can provide essential insights, and information for decision-making aimed at preserving global…

Modeling forests using historical data allows for more accurately evolution analysis, thus providing an important basis for other studies. As a recognized and effective tool, remote sensing plays an important role in forestry analysis. We…

Machine Learning · Computer Science 2022-04-06 Xuetao Jiang , Meiyu Jiang , YuChun Gou , Qian Li , Qingguo Zhou

The interest for change detection in the field of remote sensing has increased in the last few years. Searching for changes in satellite images has many useful applications, ranging from land cover and land use analysis to anomaly…

Computer Vision and Pattern Recognition · Computer Science 2021-07-14 Antonio Di Pilato , Nicolò Taggio , Alexis Pompili , Michele Iacobellis , Adriano Di Florio , Davide Passarelli , Sergio Samarelli

In recent years, the geospatial industry has been developing at a steady pace. This growth implies the addition of satellite constellations that produce a copious supply of satellite imagery and other Remote Sensing data on a daily basis.…

Computer Vision and Pattern Recognition · Computer Science 2022-09-30 Alexandru Munteanu , Marian Neagul

Visual localization is the problem of estimating the position and orientation from which a given image (or a sequence of images) is taken in a known scene. It is an important part of a wide range of computer vision and robotics…

Computer Vision and Pattern Recognition · Computer Science 2021-09-13 Ara Jafarzadeh , Manuel Lopez Antequera , Pau Gargallo , Yubin Kuang , Carl Toft , Fredrik Kahl , Torsten Sattler

Shallow water and coastal aquatic ecosystems such as coral reefs and seagrass meadows play a critical role in regulating and understanding Earth's changing climate and biodiversity. They also play an important role in protecting towns and…

Image and Video Processing · Electrical Eng. & Systems 2022-11-17 Greg Sabella

Movement is a fundamental aspect of animal life and plays a crucial role in determining the structure of population dynamics, communities, ecosystems, and diversity. In recent years, the recording of animal movements via GPS collars, camera…

Digital Libraries · Computer Science 2020-05-29 Brendan Hoover , Gil Bohrer , Jerod Merkle , Jennifer A. Miller

Unravelling current complex food systems is relevant for their adjustment and redesign under the current changing climate conditions. Redesign may be necessitated by migration of people and changes of locations of major agri-food…

Physics and Society · Physics 2026-04-15 Erik van der Linden , Marcel Meinders , Egbert H. van Nes , Hugo de Vries

The understanding and prediction of large wildland fire events around the world is a growing interdisciplinary research area advanced rapidly by development and use of computational models. Recent models bidirectionally couple computational…

Atmospheric and Oceanic Physics · Physics 2020-07-06 J. L. Coen , W. Schroeder , S. Conway , L. Tarnay

Swarming is a conspicuous behavioural trait observed in bird flocks, fish shoals, insect swarms and mammal herds. It is thought to improve collective awareness and offer protection from predators. Many current models involve the hypothesis…

Quantitative Methods · Quantitative Biology 2015-06-22 Daniel J. G. Pearce , A. M. Miller , George Rowlands , Matthew S. Turner

Assessing the presence and abundance of birds is important for monitoring specific species as well as overall ecosystem health. Many birds are most readily detected by their sounds, and thus passive acoustic monitoring is highly…

Sound · Computer Science 2024-02-01 Dan Stowell , Yannis Stylianou , Mike Wood , Hanna Pamuła , Hervé Glotin

Abundance data are used in ecology for species monitoring and conservation. These count data often display several specific characteristics like numerous missing data, high variance, and a high proportion of zeros, particularly when…

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