Accuracy assessment of the Global Forest Change tree cover loss by visual interpretation and comparison with forestry logging records in Slovakia. [PDF]
Environ Monit AssessDruga M, Šagát V, Rusinko A.
europepmc +1 more source
Land Cover Classification Model Using Multispectral Satellite Images Based on a Deep Learning Synergistic Semantic Segmentation Network. [PDF]
Sensors (Basel)Gharahbagh AA +3 more
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Enhancing surface drainage mapping in eastern Canada with deep learning applied to LiDAR-derived elevation data. [PDF]
Sci RepBilodeau MF +4 more
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LKAFFNet: A Novel Large-Kernel Attention Feature Fusion Network for Land Cover Segmentation. [PDF]
Sensors (Basel)Chen B +5 more
europepmc +1 more source
Mapping and Classification of Ecologically Sensitive Marine Habitats Using Unmanned Aerial Vehicle (UAV) Imagery and Object-Based Image Analysis (OBIA) [PDF]
Remote Sensing, 2018 Nowadays, emerging technologies, such as long-range transmitters, increasingly miniaturized components for positioning, and enhanced imaging sensors, have led to an upsurge in the availability of new ecological applications for remote sensing based on unmanned aerial vehicles (UAVs), sometimes referred to as “drones”.
Daniele Ventura +2 more
exaly +6 more sources
Detection of Gully-Affected Areas by Applying Object-Based Image Analysis (OBIA) in the Region of Taroudannt, Morocco [PDF]
Remote Sensing, 2014 This study aims at the detection of gully-affected areas by applying object-based image analysis in the region of Taroudannt, Morocco, which is highly affected by gully erosion while simultaneously representing a major region of agro-industry with a high demand of arable land.
Irène Marzolff +2 more
exaly +4 more sources
Computers and Electronics in Agriculture, 2023 Zhangxi Ye, Kaile Yang, Riwen Lai
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IOP Conference Series: Earth and Environmental Science, 2022 Abstract Object-based image analysis (OBIA) is an image classification that is oriented to object patterns that use image objects as the basis for processing, calculates characteristics per object, and extracts land cover information from remotely sensed images. This study aims to detect salt ponds using Sentinel 2 satellite data with an
S B Agus
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Multi-Temporal UAV Data and Object-Based Image Analysis (OBIA) for Estimation of Substrate Changes in a Post-Bleaching Scenario on a Maldivian Reef [PDF]
Remote Sensing, 2020 Coral reefs are declining worldwide as a result of the effects of multiple natural and anthropogenic stressors, including regional-scale temperature-induced coral bleaching. Such events have caused significant coral mortality, leading to an evident structural collapse of reefs and shifts in associated benthic communities.
Luca Fallati +2 more
exaly +4 more sources