Results 91 to 100 of about 68,744 (188)

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

open access: yesWater 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   +5 more
wiley   +1 more source

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

open access: yesJournal 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   +2 more
wiley   +1 more source

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

open access: yesRemote 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

Mixing Data Cube Architecture and Geo-Object-Oriented Time Series Segmentation for Mapping Heterogeneous Landscapes

open access: yesAgriEngineering
The conflict between environmental conservation and agricultural production highlights the need for precise land use and land cover (LULC) mapping to support agro-environmental-related policies.
Michel E. D. Chaves   +7 more
doaj   +1 more source

Characterizing degradation gradients through land cover change analysis in rural Eastern Cape, South Africa [PDF]

open access: yes, 2017
CITATION: Munch, Z., et al. 2017. Characterizing degradation gradients through land cover change analysis in rural Eastern Cape, South Africa. Geosciences, 7(1):7, doi:10.3390/geosciences7010007.The original publication is available at http://www.mdpi ...
Brown   +22 more
core   +3 more sources

Fuzzy segmentation for geographic object-based image analysis [PDF]

open access: yes, 2009
Image segmentation partitions remote sensing images into image objects before assigning them to categorical land cover classes. Current segmentation methods require users to invest considerable time and effort in the search for meaningful image objects ...
Elsner, Paul, Lizarazo, Ivan
core   +1 more source

Identifying Generalizable Image Segmentation Parameters for Urban Land Cover Mapping through Meta-Analysis and Regression Tree Modeling

open access: yesRemote Sensing, 2018
The advent of very high resolution (VHR) satellite imagery and the development of Geographic Object-Based Image Analysis (GEOBIA) have led to many new opportunities for fine-scale land cover mapping, especially in urban areas.
Brian A. Johnson, Shahab E. Jozdani
doaj   +1 more source

Assessing land cover changes in the French Pyrenees since the 1940s A semi‐automatic GEOBIA approach using aerial photographs [PDF]

open access: yes, 2012
International audienceAgro-pastoral landscapes of the Pyrenees are subject to fast spontaneous reforestation. The objective of this work is to assess the spatial patterns of land cover changes during the last 70 years in three study sites of the Pyrenees,
Houet, Thomas   +5 more
core   +1 more source

OBIA for combining LiDAR and multispectral data to characterize forested areas and land cover in a tropical region [PDF]

open access: yes, 2012
International audiencePrioritizing and designing forest restoration strategies requires an adequate survey to inform on the status (degraded or not) of forest types and the human disturbances over a territory. Very High Spatial Resolution (VHSR) remotely
Dupuy, S., Laine, G., Tormos, T.
core   +1 more source

Assessment of Nigeriasat-1 satellite data for urban land use / land cover analysis using Object Based Image Analysis in Abuja, Nigeria [PDF]

open access: yes, 2017
This study assesses the usefulness of Nigeriasat-1 satellite data for urban land cover analysis by comparing it with Landsat and SPOT data. The data-sets for Abuja were classified with pixel- and object-based methods.
Blackett, Matthew   +2 more
core   +1 more source

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