Results 71 to 80 of about 49,010,873 (166)

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

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

AgriEngineering
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, Lívia G. D. Soares, Gustavo H. V. Barros, Ana Letícia F. Pessoa, Ronaldo O. Elias, Ana Claudia Golzio, Katyanne V. Conceição, Flávio J. O. Morais   +7 more
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

Interaction between High-Level and Low-Level Image Analysis for Semantic Video Object Extraction [PDF]

, 2004
The task of extracting a semantic video object is split into two subproblems, namely, object segmentation and region segmentation. Object segmentation relies on a priori assumptions, whereas region segmentation is data-driven and can be solved in an ...
Ebrahimi Touradj, Andrea Cavallaro, Cavallaro, A, Ebrahimi, T, Touradj Ebrahimi, Cavallaro Andrea   +5 more
core   +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

Fully Convolutional Networks and Geographic Object-Based Image Analysis for the Classification of VHR Imagery

, 2019
Land cover Classified maps obtained from deep learning methods such as Convolutional neural networks (CNNs) and fully convolutional networks (FCNs) usually have high classification accuracy but with the detailed structures of objects lost or smoothed. In
Vanhuysse, Sabine, Stefanos Georganos, Moritz Lennert, Tais Grippa, Eléonore Wolff, Grippa, Taïs, Sabine Vanhuysse, Lennert, Moritz, Wolff, Eléonore, Mboga, Nicholus O., Georganos, Stefanos, Nicholus Mboga   +11 more
core   +1 more source

SOIL SEALING AND LAND USE CHANGE DETECTION APPLYING GEOGRAPHIC OBJECT BASED IMAGE ANALYSIS (GEOBIA) TECHNIQUE

, 2013
Land use and land cover change analysis is now a mature area of study but it is still important to monitor these changes and their subsequent impacts on ecosystem functions. The rate of Land use and land cover change is much larger than ever recorded previously, with quick changes to ecosystems taking place at local to global scales.
openaire   +1 more source

Winter Wheat Mapping Using Landsat 8 Images and Geographic Object-Based Image Analysis

, 2017
. Winter wheat is a major food source in many areas, so it is necessary to construct an effective approach for its monitoring based on satellite data. By taking advantage of geographic object-based image analysis (GEOBIA), a winter wheat classification ...
Shengwei Zhang, Tengfei Su
core   +1 more source