Results 171 to 180 of about 68,744 (188)
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Earth Resources and Environmental Remote Sensing/GIS Applications VIII, 2017
Effective mangrove management requires spatially explicit information of mangrove tree crown map as a basis for ecosystem diversity study and health assessment. Accuracy assessment is an integral part of any mapping activities to measure the effectiveness of the classification approach.
Muhammad Kamal, Kasper Johansen
exaly +3 more sources
Effective mangrove management requires spatially explicit information of mangrove tree crown map as a basis for ecosystem diversity study and health assessment. Accuracy assessment is an integral part of any mapping activities to measure the effectiveness of the classification approach.
Muhammad Kamal, Kasper Johansen
exaly +3 more sources
Geographic object-based image analysis (GEOBIA) of Landsat 8 OLI for landform identification
Sixth International Symposium on LAPAN-IPB Satellite, 2019Geographic Object-Based Image Analysis (GEOBIA) is an emerging approach in remote sensing image analysis and classification which relies on segments or objects created by a group of pixels on the image.
Assyria F. Umela +2 more
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Environmental Monitoring and Assessment
The Atewa Range Forest Reserve (ARFR) in Ghana, a key biodiversity hotspot, is increasingly impacted by alluvial gold mining, which has been expanding in the region. However, limited research has focused on mining activities within the forest reserve or their proximity to river bodies. This study used high-resolution PlanetScope satellite imagery (2018-
Lukman Boakye, Adams, Yuichi S, Hayakawa
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The Atewa Range Forest Reserve (ARFR) in Ghana, a key biodiversity hotspot, is increasingly impacted by alluvial gold mining, which has been expanding in the region. However, limited research has focused on mining activities within the forest reserve or their proximity to river bodies. This study used high-resolution PlanetScope satellite imagery (2018-
Lukman Boakye, Adams, Yuichi S, Hayakawa
openaire +3 more sources
Environmental Object Recognition in a Natural Image
International Journal of Agricultural and Environmental Information Systems, 2014Natural images, which are filled with intriguing stimuli of spatial objects, represent our cognition and are rich in spatial information. Accurate extraction of spatial objects is challenging due to the associated spatial and spectral complexities in object recognition.
Aryal, Jagannath, Josselin, Didier
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2013
Land use and land cover change analysis is now a mature area of study but it is still important to monitor these changes and their subsequent impacts on ecosystem functions. The rate of Land use and land cover change is much larger than ever recorded previously, with quick changes to ecosystems taking place at local to global scales.
Rabia Hammad, Ahmed Harb
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Land use and land cover change analysis is now a mature area of study but it is still important to monitor these changes and their subsequent impacts on ecosystem functions. The rate of Land use and land cover change is much larger than ever recorded previously, with quick changes to ecosystems taking place at local to global scales.
Rabia Hammad, Ahmed Harb
openaire +3 more sources
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
The secondary forest has a low diversity of species, however, they have major importance for the reestablishment of ecosystem functions and nutrient stocks lost from the original forests, as well as higher carbon absorption rate of the mature forests.
D. P. Menezes +4 more
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The secondary forest has a low diversity of species, however, they have major importance for the reestablishment of ecosystem functions and nutrient stocks lost from the original forests, as well as higher carbon absorption rate of the mature forests.
D. P. Menezes +4 more
openaire +2 more sources
Journal of Spatial Science, 2023
Delineation of road networks is often hindered by shadows, occlusions and spectrally similar objects. A hybrid Geographic object-based Image analysis (GeOBIA) technique that combines Mixture Model segmentation with Ensemble Learning algorithms to extract
Elaveni Palanivel, S. Selvan
semanticscholar +1 more source
Delineation of road networks is often hindered by shadows, occlusions and spectrally similar objects. A hybrid Geographic object-based Image analysis (GeOBIA) technique that combines Mixture Model segmentation with Ensemble Learning algorithms to extract
Elaveni Palanivel, S. Selvan
semanticscholar +1 more source
Methodological framework for ontology-driven geographic object-based image analysis (O-GEOBIA)
2019Geographic Object-Based Image Analysis (GEOBIA) has emerged as a new sub-discipline of Geographic Information Science. GEOBIA provides methods to delineate real-world geographic objects from Earth Observation (EO) data. GEOBIA methods rely on human expert (domain) knowledge to perform image segmentation, classification, and classification-based ...
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For assessing landslide susceptibility and hazard reliable landslide inventories are essential. Historic landslides might indicate periods of increased landslide activity compared to more recent decades. However, landslide features might have diminished over time especially due to human impact.
Ikram Zangana +3 more
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Ikram Zangana +3 more
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