Results 71 to 80 of about 401 (164)
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 +2 more
wiley +1 more source
UAS-GEOBIA Approach to Sapling Identification in Jack Pine Barrens after Fire [PDF]
Jack pine (pinus banksiana) forests are unique ecosystems controlled by wildfire. Understanding the traits of revegetation after wildfire is important for sustainable forest management, as these forests not only provide economic resources, but also are home to specialized species, like the Kirtland Warbler (Setophaga kirtlandii).
Raechel A. White +3 more
openaire +2 more sources
Combined optically stimulated luminescence and radiocarbon dating of aeolian dunes in Arctic Sweden
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 +4 more
wiley +1 more source
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 +4 more
wiley +1 more source
Uncontrolled and continuous urbanization is an important problem in the metropolitan cities of developing countries. Urbanization progress that occurs due to population expansion and migration results in important changes in the land cover ...
Ugur Alganci
doaj +1 more source
Artificial Intelligence and Objective‐Function Methods Can Identify Bankfull River Channel Extents
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
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
Geographic object-based image analysis (GEOBIA) has been widely used in the remote sensing of agricultural crops. However, issues related to image segmentation, data redundancy and performance of different classification algorithms with GEOBIA have not ...
Lingbo Yang +3 more
doaj +1 more source
This research presents a time-effective approach for mapping streambed and riparian zone extent from high spatial resolution LiDAR derived products, i.e., digital terrain model, terrain slope and plant projective cover.
Stuart Phinn +4 more
doaj +1 more source
Determination of the Olive Trees with Object Based Classification of Pleiades Satellite Image
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 +2 more
doaj +1 more source

