Results 91 to 100 of about 1,269 (149)

Object-based Mapping of Landslides with Remotely Sensed Data and Python Programming in Taq Taq, Iraq

NTU Journal of Engineering and Technology
This paper involves object-based landslide detection, classification and susceptibility mapping with a specific focus on how Python scripting can complement automation, reproducibility and efficiency of analysis. A combined Geographic Object-Based Image
Zinah Nabil Abbas, Mustafa Ridha Mezaal, Qahtan Al Nuaimy   +2 more
doaj   +1 more source

Advancing in spatial object recognition: GEOBIA approach

, 2013
GEOgraphic Object Based Image Analysis (GEOBIA) is an emerging approach in remote sensing and GI Science. This approach provides a knowledge-base framework to delineate, manage and manipulate objects in multiple scales.
Jagannath Aryal (14730625)
core  

Delineating Grassland in British Columbia using Object-Based Image Analysis (GEOBIA) through Google Earth Engine

Grasslands in British Columbia (BC) play a pivotal role in biodiversity, supporting over 30% of the region's endangered species. However, rapid urbanization and forest encroachment threaten these habitats.
Ma, Xuan
core   +1 more source

Identification and classification of geographically isolated wetlands in North Alabama using geographic object based image analysis (GeOBIA)

, 2018
Due to recent Supreme Court rulings, there has been an increased interest in the isolated wetlands of the United States. These types of wetlands serve vital ecological roles such as water quality regulation and as a habitat of biological diversity.
Tyler Jones, Chandana Mitra, Luke Marzen, Michael Barbour   +3 more
core   +1 more source

GEOBIA at the Terapixel Scale: Toward Efficient Mapping of Small Woody Features from Heterogeneous VHR Scenes

, 2019
Land cover mapping has benefited a lot from the introduction of the Geographic Object-Based Image Analysis (GEOBIA) paradigm, that allowed to move from a pixelwise analysis to a processing of elements with richer semantic content, namely objects or ...
Desclée, Baudouin, Sébastien Lefèvre, Christophe Sannier, Pierre-Yves Rémy, Fabrice Dazin, Sannier, Christophe, Antoine Masse, Loïc Faucqueur, Faucqueur, Loïc, Bharath Bhushan Damodaran, Rémy, Pierre-Yves, Masse, Antoine, Baudouin Desclée, Dazin, Fabrice, Bharath Bhushan Damodaran, Lefèvre, Sébastien, François Merciol, Damodaran, Bharath, Bhushan, Merciol, François   +18 more
core   +1 more source

A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia. [PDF]

Sensors (Basel), 2019
Shahabi H, Jarihani B, Tavakkoli Piralilou S, Chittleborough D, Avand M, Ghorbanzadeh O.   +5 more
europepmc   +1 more source

Land cover class extraction in GEOBIA using environmental spatial temporal ontology

, 2014
Very high spatial resolution (VHSR) remote sensing imaging brings challenges and opportunities to intelligent autonomous interpretation of spatial data due to detailed information available in such images.
Morshed, A (15579164), Dutta, R (15579155), Jagannath Aryal (14730625)   +2 more
core  

An integrated learning algorithm for early prediction of melon harvest. [PDF]

Sci Rep, 2022
Qian C, Du T, Sun S, Liu W, Zheng H, Wang J.   +5 more
europepmc   +1 more source

Active Actions in the Extraction of Urban Objects for Information Quality and Knowledge Recommendation with Machine Learning. [PDF]

Sensors (Basel), 2022
Silva LA, Sales Mendes A, Sánchez San Blas H, Caetano Bastos L, Leopoldo Gonçalves A, Fabiano de Moraes A.   +5 more
europepmc   +1 more source

A review on advancements in lithological mapping utilizing machine learning algorithms and remote sensing data. [PDF]

Heliyon, 2023
El-Omairi MA, El Garouani A.
europepmc   +1 more source