An overview of remote monitoring methods in biodiversity conservation
RG Kerry, FJP Montalbo, R Das, S Patra… - … Science and Pollution …, 2022 - Springer
Conservation of biodiversity is critical for the coexistence of humans and the sustenance of
other living organisms within the ecosystem. Identification and prioritization of specific …
other living organisms within the ecosystem. Identification and prioritization of specific …
Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape
New satellite remote sensing and machine learning techniques offer untapped possibilities
to monitor global biodiversity with unprecedented speed and precision. These efficiencies …
to monitor global biodiversity with unprecedented speed and precision. These efficiencies …
Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes
Satellites allow large‐scale surveys to be conducted in short time periods with repeat
surveys possible at intervals of< 24 h. Very‐high‐resolution satellite imagery has been …
surveys possible at intervals of< 24 h. Very‐high‐resolution satellite imagery has been …
Livestock detection in African rangelands: Potential of high-resolution remote sensing data
Livestock production is vital in eradicating poverty, malnutrition, and in attainment of the
Sustainable Development Goals (SDG) in developing regions such as Africa. The livestock …
Sustainable Development Goals (SDG) in developing regions such as Africa. The livestock …
Artificial intelligence for automated detection of large mammals creates path to upscale drone surveys
Imagery from drones is becoming common in wildlife research and management, but
processing data efficiently remains a challenge. We developed a methodology for training a …
processing data efficiently remains a challenge. We developed a methodology for training a …
Semi-supervised segmentation for coastal monitoring seagrass using RPA imagery
Intertidal seagrass plays a vital role in estimating the overall health and dynamics of coastal
environments due to its interaction with tidal changes. However, most seagrass habitats …
environments due to its interaction with tidal changes. However, most seagrass habitats …
Comparing geomorphological maps made manually and by deep learning
Geomorphological maps provide information on the relief, genesis and shape of the earth's
surface and are widely used in sustainable spatial developments. The quality of …
surface and are widely used in sustainable spatial developments. The quality of …
Drone‐based thermal remote sensing provides an effective new tool for monitoring the abundance of roosting fruit bats
Accurate and precise monitoring of species abundance is essential for determining
population trends and responses to environmental change. However, traditional population …
population trends and responses to environmental change. However, traditional population …
The potential of satellite imagery for surveying whales
C Höschle, HC Cubaynes, PJ Clarke, G Humphries… - Sensors, 2021 - mdpi.com
The emergence of very high-resolution (VHR) satellite imagery (less than 1 m spatial
resolution) is creating new opportunities within the fields of ecology and conservation …
resolution) is creating new opportunities within the fields of ecology and conservation …
Combining machine translation and automated scoring in international large-scale assessments
JY Jung, L Tyack, M von Davier - Large-scale Assessments in Education, 2024 - Springer
Background Artificial intelligence (AI) is rapidly changing communication and technology-
driven content creation and is also being used more frequently in education. Despite these …
driven content creation and is also being used more frequently in education. Despite these …