Results 61 to 70 of about 49,010,873 (166)

Monitoring Artificial Waterways in Peat Forest Areas Using Geobia (Geographic Object-Based Image Analysis) Method: Case Study in Sebubus Forest, West Kalimantan

Jurnal Borneo Administrator: Media Pengembangan Paradigma dan Gaya Baru Manajemen Pemerintahan Daerah, 2019
This paper presents a workflow capitalizing Google Earth’s High-resolution Imagery (GEHRI) to detect and monitor Artificial Waterway (AW) in a tropical peat forest. The workflow applies an Object-Based approach derived from concepts and techniques for indexing visual semantics in a ten-levels of visual structures.
Muriadi Arip, Yan Wanglin
openaire   +4 more sources

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

An Object-Based Image Analysis Approach for Detecting Penguin Guano in very High Spatial Resolution Satellite Images

Remote Sensing, 2016
The logistical challenges of Antarctic field work and the increasing availability of very high resolution commercial imagery have driven an interest in more efficient search and classification of remotely sensed imagery.
Chandi Witharana, Heather J. Lynch
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

Determination of the Olive Trees with Object Based Classification of Pleiades Satellite Image

International Journal of Environment and Geoinformatics, 2018
Identification of fruit trees and determination of their spatial distribution is an important task for several agricultural activities including fruit yield estimation, irrigation planning, disease management and supporting agricultural policies.
Uğur Algancı, Elif Sertel, Şinasi Kaya   +2 more
doaj   +1 more source

Spectral Patterns of Pixels and Objects of the Forest Phytophysiognomies in the Anauá National Forest, Roraima State, Brazil

Ecologies, 2023
Forest phytophysiognomies have specific spatial patterns that can be mapped or translated into spectral patterns of vegetation. Regions of spectral similarity can be classified by reference to color, tonality or intensity of brightness, reflectance ...
Tiago Monteiro Condé, Niro Higuchi, Adriano José Nogueira Lima, Moacir Alberto Assis Campos, Jackelin Dias Condé, André Camargo de Oliveira, Dirceu Lucio Carneiro de Miranda   +6 more
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

A Scalable GEOBIA Framework for Urban Landscape Monitoring with Sentinel-2 Data: A Case Study in Hue City, Vietnam

Earth
The Copernicus Sentinel-2 (S2) data are a crucial resource for urban policymakers in land-cover classification, offering a freely accessible alternative to expensive commercial data sources.
Md Abdul Mueed Choudhury, Giuseppe Modica, Salvatore Praticò, Ernesto Marcheggiani   +3 more
doaj   +1 more source

Quantifying spatial complexity in submerged aquatic vegetation landscapes using remote sensing: Lessons from simulated and real landscapes

Limnology and Oceanography, Volume 69, Issue 7, Page 1465-1480, July 2024.
Abstract The spatial organization of vegetation has been shown to be a strong indicator of ecological state in multiple ecosystems. In this study, we analyze the relationships between spatial complexity metrics in submerged aquatic vegetation (SAV) landscapes, and we explore the potential of satellite remote sensing to quantify these metrics in ...
Arthur de Grandpré, Christophe Kinnard, Andrea Bertolo   +2 more
wiley   +1 more source

Mapping alluvial mine dynamics in the Atewa landscape in Ghana using Geographic Object-Based Image Analysis (GEOBIA) and GIS

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
openaire   +2 more sources