Results 61 to 70 of about 291 (148)

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

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   +3 more sources

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

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

Combined optically stimulated luminescence and radiocarbon dating of aeolian dunes in Arctic Sweden

Permafrost and Periglacial Processes, Volume 35, Issue 2, Page 172-187, April/June 2024.
Abstract Multiple parabolic sand dune fields formed in Arctic Sweden after the last deglaciation, facilitated by an abundance of loose glaciofluvial sediment, limited vegetation cover and strong winds. Following initial stabilisation, these dunes underwent repeated reworking after fire events, as evidenced by the presence of buried soils, charcoal ...
Salome Oehler, Thomas Stevens, Thomas Kolb, Göran Possnert, Markus Fuchs   +4 more
wiley   +1 more source

Possibility of spatial estimation of soil erosion using Revised Universal Soil Loss Equation model and generalized additive model in post‐hard coal mining spoil heap

Land Degradation &Development, Volume 35, Issue 3, Page 923-935, 15 February 2024.
Abstract Revegetation and plant cover establishment on coal mining heap areas are effective methods for reducing runoff and soil erosion. They are essential components for reestablishing ecosystems in ecologically vulnerable areas. Our study area covered the Upper Silesia coal region.
Pranav Dev Singh, Anna Klamerus‐Iwan, Paweł Hawryło, Edyta Sierka, Marcin Pietrzykowski   +4 more
wiley   +1 more source

Artificial Intelligence and Objective‐Function Methods Can Identify Bankfull River Channel Extents

Water Resources Research, Volume 60, Issue 1, January 2024.
Abstract Bankfull channel extents are of fundamental importance in fluvial geomorphology, to describe the geomorphic character of a river, and to provide a boundary for further processing of morphologic and hydraulic attributes. With ever‐increasing availability of high‐resolution spatial data (e.g., lidar, aerial photography), manual delineation of ...
Jonathan Garber, Karen Thompson, Matthew J. Burns, Joshphar Kunapo, Geordie Z. Zhang, Kathryn Russell   +5 more
wiley   +1 more source

Spectral Difference in the Image Domain for Large Neighborhoods, a GEOBIA Pre-Processing Step for High Resolution Imagery

Remote Sensing, 2012
Contrast plays an important role in the visual interpretation of imagery. To mimic visual interpretation and using contrast in a Geographic Object Based Image Analysis (GEOBIA) environment, it is useful to consider an analysis for single pixel objects ...
Roeland de Kok
doaj   +1 more source

Detecting Invasive Alien Plant Species Using Remote Sensing, Machine Learning and Deep Learning

Journal of Sensors, Volume 2024, Issue 1, 2024.
Invasive alien plants (IAPs) are nonnative species that pose significant threats to the environment by outcompeting native vegetation and disrupting ecosystem functions. Efforts to monitor and eradicate IAPs have been limited due to the challenges in accurately identifying these plants using traditional remote sensing (RS) methods.
Perry B. Rakgoale, Silas Njoya Ngetar, Huan Liu   +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   +3 more sources