Results 61 to 70 of about 401 (164)

Assessing natural and human‐induced river corridor changes using object‐based image analysis (Orljava River, Croatia)

River Research and Applications, Volume 41, Issue 2, Page 285-300, February 2025.
Abstract This study employs object‐based image analysis to investigate land cover dynamics and channel changes in the managed corridor of the Orljava River following anthropogenic vegetation removal and a flood event. By classifying RGB and near‐infrared (NIR) images from the decade 2011–2021, five land cover classes within the river corridor were ...
Katarina Pavlek, Mateo Gašparović, Ronald E. Poeppl   +2 more
wiley   +1 more source

Using LiDAR and GEOBIA for automated extraction of eighteenth–late nineteenth century relict charcoal hearths in southern New England

GIScience & Remote Sensing, 2018
Increasing availability and advancements of aerial Light Detection and Ranging (LiDAR) data have radically been shifting the way archeological surveys are performed.
Chandi Witharana, William B. Ouimet, Katharine M. Johnson   +2 more
doaj   +1 more source

AI‐assisted interpretation of changes in riparian woodland from archival aerial imagery using Meta's segment anything model

Earth Surface Processes and Landforms, Volume 50, Issue 1, January 2025.
Meta's 2023 foundation AI model, Segment Anything (SAM), was used to assist the mapping of changes in the extent of riparian woodland along three gravel bed, meandering, river reaches in rural settings in the United Kingdom. Using visual prompts in interactive mode, this approach is shown to deliver substantial time savings over manual digitisation ...
Martin Dawson, Henry Dawson, Angela Gurnell, John Lewin, Mark G. Macklin   +4 more
wiley   +1 more source

Evaluating the potential of multi-view data extraction from small Unmanned Aerial Systems (UASs) for object-based classification for Wetland land covers

GIScience & Remote Sensing, 2019
Unmanned Aerial Systems (UASs) have the potential to provide multi-view data, but the approaches used to extract the multi-view data from UAS and investigation of their use in image classification are currently unavailable in publications to our best ...
Tao Liu, Amr Abd-Elrahman, Bon Dewitt, Scot Smith, Jon Morton, Victor L. Wilhelm   +5 more
doaj   +1 more source

Evaluating the Performance of Geographic Object-Based Image Analysis in Mapping Archaeological Landscapes Previously Occupied by Farming Communities: A Case of Shashi–Limpopo Confluence Area

Remote Sensing, 2023
The use of pixel-based remote sensing techniques in archaeology is usually limited by spectral confusion between archaeological material and the surrounding environment because they rely on the spectral contrast between features.
Olaotse Lokwalo Thabeng, Elhadi Adam, Stefania Merlo   +2 more
doaj   +1 more source

Investigating palaeodune orientations and contemporary wind regimes in Southeast Kazakhstan using a semi‐automated mapping framework

Earth Surface Processes and Landforms, Volume 49, Issue 14, Page 4553-4569, November 2024.
We present a semi‐automated framework applying object‐based analysis of Sentinel‐2 and digital elevation data to map dunes and quantify their orientation. The approach is applied to five dune fields in the Ili‐Balkhash region in Kazakhstan. Comparing bedform orientations with the modern wind regime, we find (1) better alignment considering only strong ...
Maike Nowatzki, Kathryn E. Fitzsimmons, Hartwig Harder, Hans‐Joachim Rosner   +3 more
wiley   +1 more source

RAZÕES PARA AS ENCHENTES E INUNDAÇÕES NO RESIDENCIAL CARLOS MARIGHELLA: UMA ANÁLISE MULTITEMÁTICA DA BACIA DO RIO DO VIGÁRIO, EM MARICÁ-RJ

Revista da ANPEGE, 2020
Enchentes e inundações são eventos recorrentes no Brasil, causando perdas humanas e materiais em diferentes regiões do país. Sendo assim, este trabalho tem a proposta de realizar uma análise multitemática da bacia do Rio do Vigário, localizada ...
Vinicius da Silva Seabra, Otávio Miguez da Rocha-Leão   +1 more
doaj  

Optimal spatial resolution of Unmanned Aerial Vehicle (UAV)-acquired imagery for species classification in a heterogeneous grassland ecosystem

GIScience & Remote Sensing, 2018
Species composition is an essential biophysical attribute of vegetative ecosystems. Unmanned aerial vehicle (UAV)-acquired imagery with ultrahigh spatial resolution is a valuable data source for investigating species composition at a fine scale, which is
Bing Lu, Yuhong He
doaj   +1 more source

A hierarchical method and workflow for the semi‐automated mapping of valley bottom geomorphic units using publicly available remote sensing datasets

Earth Surface Processes and Landforms, Volume 49, Issue 11, Page 3524-3540, 15 September 2024.
We develop a hierarchical method to map geomorphic units across valley bottoms. The method accommodates user decisions regarding effort invested versus quality and accuracy. The method produces 12 preliminary, 20 refined, and four sub‐types of geomorphic units. The method can be applied to all river types.
Nuosha Zhang, Kirstie Fryirs
wiley   +1 more source

Map legend and response design: how do they affect accuracy of GEOBIA results [PDF]

GEOBIA 2016: Solutions and synergies, 2016
The legend used to map a given region is most of the time the first characteristic assessed by end users. In GEOBIA, the choice of a classification system is primarily guided by the scale of analysis and the underlying data model. This study focuses on the classification systems related to spatial regions.
J. Radoux, P. Bogaert
openaire   +1 more source