Results 51 to 60 of about 2,144 (204)
Comparison of Field-measured and Object-based Image Analysis (OBIA)-predicted Crown Widths and Tree Heights.
Boun Suy Tan (728660) +3 more
core +1 more source
Pixel-based vs object-based remote sensing for linking land use change and land value zone
Land Value Zone (LVZ) is essential for spatial planning, taxation, and land management in Indonesia. However, identifying these zones still faces significant challenges, especially in linking land use change with land value.
Nuansa Safitri Adiningsih +1 more
doaj +1 more source
Dual-season comparison of OBIA and pixel-based approaches for coastal wetland classification [PDF]
Mapping and classifying Coastal Wetlands is important for their conservation. The study aimed to apply Object-Based Image Analysis (OBIA) and pixel-based approaches to answer the questions: (1) which approach is more accurate for classifying Wetlands; (2)
João Paulo Delapasse Simioni +1 more
doaj +1 more source
Improving Machine Learning Classifications of Phragmites australis Using Object-Based Image Analysis
Uncrewed aircraft systems (UASs) are a popular tool when surveilling for invasive alien plants due to their high spatial and temporal resolution. This study investigated the efficacy of a UAS equipped with a three-band (i.e., red, green, blue; RGB ...
Connor J. Anderson +3 more
doaj +1 more source
This study aimed to classify an urban area and its surrounding objects after the destructive M7.3 Kermanshah earthquake (12 November 2017) in the west of Iran using very high-resolution (VHR) post-event WorldView-2 images and object-based image analysis (
Davoud Omarzadeh +3 more
doaj +1 more source
This research established a new object detection model based on YOLOv11 to recognise benthic organisms, specifically sea cucumbers, by utilising high‐resolution photogrammetric‐based orthomosaics acquired along infralittoral Mediterranean Sea beds. The model demonstrated impressive performance metrics and, when combined with the Deepness plugin for the
Gian Mario Sangiovanni +9 more
wiley +1 more source
Landslide detection using deep learning and object-based image analysis.
Recent landslide detection studies have focused on pixel-based deep learning (DL) approaches. In contrast, intuitive annotation of landslides from satellite imagery is based on distinct features rather than individual pixels.
Homayouni, Saeid +5 more
core +1 more source
Suitable habitat of Himalayan wolf in Upper Mustang, Annapurna Conservation Area, Nepal
Decades ago, the Himalayan wolf Canis lupus chanco, a genetically distinct sub‐species of the gray wolf Canis lupus, faced persecution by local communities in the Nepalese Himalayas. Recently, wolf populations have returned and recolonized, sparking concerns about conflicts over livestock depredation, and emphasizing the urgent need for comprehensive ...
Deu Bahadur Rana +5 more
wiley +1 more source
Abstract Introduction Dredge material use is emerging as an important technique for restoring marshes threatened by historic mismanagement and sea‐level rise, yet optimal methods to maximize ecological benefit remain under development. The Delaware Estuary is in urgent need of restoration, as historic agricultural conversion caused substantial and ...
Stephanie Feigin +8 more
wiley +1 more source
Lately, with progresses in remote sensing information techniques and the growingly and unprecedented uses of its uses, remote sensing became a science that cannot be dispensed with in most fields and ground object extraction has turned out to be more ...
Aly M. El-naggar
doaj +1 more source

