Results 241 to 250 of about 175,083 (340)

Breaking down seagrass fragmentation in a marine heatwave impacted World Heritage Area

Remote Sensing in Ecology and Conservation, EarlyView.
Habitat fragmentation can exacerbate the impacts of habitat loss but is rarely quantified in marine environments. Using satellite‐derived habitat maps, we identify widespread seagrass fragmentation following a marine heatwave that contributed to a dramatic shift in seascape structure in the Shark Bay World Heritage Area.
Michael D. Taylor, Simone Strydom, Matthew W. Fraser, Ana M. M. Sequeira, Gary A. Kendrick   +4 more
wiley   +1 more source

Episodic Salinity Management to Counter Climate Change Effects on Tidal Brackish and Fresh Wetlands. [PDF]

Environ Manage
Johns ND, Wang Y, White ED, Garmany K, Feagin RA, Guillen GJ.   +5 more
europepmc   +1 more source

A UAV‐based deep learning pipeline for intertidal macrobenthos monitoring: Behavioral and age classification in Tachypleus tridentatus

Remote Sensing in Ecology and Conservation, EarlyView.
The endangered tri‐spine horseshoe crab (Tachypleus tridentatus), a “living fossil” crucial to coastal ecology and biomedical research, is experiencing severe population declines. Effective conservation requires efficient monitoring, which traditional methods cannot deliver at scale. We develop an integrated UAV deep learning framework tailored to this
Xiaohai Chen, Yuyuan Bao, Ziwei Ying, Mujiao Xie, Ting Li, Jixing Zou, Jun Shi, Xiaoyong Xie   +7 more
wiley   +1 more source

Hydrological model and integrated GIS techniques for simulation and analysis of the long-term water balance in a coastal aquifer, Spain. [PDF]

Sci Rep
Amen EM, Calvache ML.
europepmc   +1 more source

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

Remote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons, Dang Nguyen, Benjamin Misiuk, Daniel Ierodiaconou, Sunil Gupta, Oli Dalby, Mary Young   +6 more
wiley   +1 more source

From basin to gulf: Conservation tillage improves soil health but exacerbates hypoxia. [PDF]

NPJ Sustain Agric
Liang K, Zhang X, McCarty GW, Zhao K, Gao F.   +4 more
europepmc   +1 more source

Ground‐truthing of satellite imagery to assess seabird colony size: A test using Adélie penguins

Remote Sensing in Ecology and Conservation, EarlyView.
Adélie penguin colony size can be estimated from space using very high‐resolution (VHR; 0.3–0.6 m resolution) satellite imagery due to the contrast between their guano stain and the surrounding terrain. Our study assessed the utility of VHR imagery for making indirect assessments of changes in colony size.
Alexandra J. Strang, Dean P. Anderson, Esme Robinson, Grant Ballard, Annie E. Schmidt, David G. Ainley, Kerry Barton, Fiona Shanhun, Elissa Z. Cameron, Michelle A. LaRue   +9 more
wiley   +1 more source

Investigating sand dunes flora conservation based on remote sensing and predictive modeling in the Mediterranean coastal region, Egypt. [PDF]

Sci Rep
El-Khalafy MM, Mostafa W, Al-Sodany YM, Shaltout KH, Toto SM.   +4 more
europepmc   +1 more source

Programmed unmanned aerial vehicles show great potential for monitoring marine megafauna in specific areas of interest

Remote Sensing in Ecology and Conservation, EarlyView.
Targeted conservation measures are contingent on robust knowledge of spatio‐temporal animal distribution in areas of interest. We explore unmanned aerial vehicle (UAV) transect monitoring as a novel method for standardized digital aerial surveys of marine megafauna by investigating the fine‐resolution spatio‐temporal distribution of harbour porpoises ...
Dinah Hartmann, Valdemar Palmqvist, Johanna Stedt   +2 more
wiley   +1 more source

Integration of geospatial techniques and artificial neural networks for groundwater potential zonation in India. [PDF]

Sci Rep
Badapalli PK, Nakkala AB, Pujari PS, Gugulothu S, Kottala RB, Mannala P, Alkhuraiji WS, Thamaga KH, Zhran M.   +8 more
europepmc   +1 more source