Opportunities for seagrass research derived from remote sensing: A review of current methods

BK Veettil, RD Ward, MDAC Lima, M Stankovic… - Ecological …, 2020 - Elsevier
Seagrass communities provide critical ecosystem and provisioning services for both human
populations and a wide range of associated species globally. However, it has been reported …

Quantification of microtopography in natural ecosystems using close-range remote sensing

T Shukla, W Tang, CC Trettin, G Chen, S Chen… - Remote Sensing, 2023 - mdpi.com
Microtopography plays an important role in various ecological, hydrologic, and
biogeochemical processes. However, quantifying the characteristics of microtopography …

Fine scale plant community assessment in coastal meadows using UAV based multispectral data

M Villoslada, TF Bergamo, RD Ward, NG Burnside… - Ecological …, 2020 - Elsevier
Coastal meadows worldwide are subjected to habitat degradation due to abandonment,
intensification and the impacts of global change. In order to protect and restore these …

[HTML][HTML] From UAV to PlanetScope: Upscaling fractional cover of an invasive species Rosa rugosa

TF Bergamo, RS de Lima, T Kull, RD Ward… - Journal of …, 2023 - Elsevier
Invasive plant species pose a direct threat to biodiversity and ecosystem services. Among
these, Rosa rugosa has had a severe impact on Baltic coastal ecosystems in recent …

[HTML][HTML] A novel UAV-based approach for biomass prediction and grassland structure assessment in coastal meadows

MV Peciña, TF Bergamo, RD Ward, CB Joyce… - Ecological Indicators, 2021 - Elsevier
Coastal meadows provide a wide range of ecosystem services worldwide. In order to better
target conservation efforts in these ecosystems, it is necessary to develop highly accurate …

Spatial variation, environmental assessment and source identification of heavy metals in sediments of the Yangtze River Estuary

J Wang, R Liu, P Zhang, W Yu, Z Shen, C Feng - Marine Pollution Bulletin, 2014 - Elsevier
In order to analyze the spatial distribution patterns, pollution sources and ecological risks of
heavy metals (As, Cd, Cr, Cu, Mn, Ni, Pb and Zn), 30 sediment samples were taken from in …

[HTML][HTML] Machine learning classification and accuracy assessment from high-resolution images of coastal wetlands

R Martínez Prentice, M Villoslada Peciña, RD Ward… - Remote Sensing, 2021 - mdpi.com
High-resolution images obtained by multispectral cameras mounted on Unmanned Aerial
Vehicles (UAVs) are hel** to capture the heterogeneity of the environment in images that …

[HTML][HTML] Speeding up UAV-based crop variability assessment through a data fusion approach using spatial interpolation for site-specific management

S Vélez, M Ariza-Sentís, M Panić, B Ivošević… - Smart Agricultural …, 2024 - Elsevier
Innovations in precision agriculture enhance complex tasks, reduce environmental impact,
and increase food production and cost efficiency. One of the main challenges is ensuring …

Estimation of wetland vegetation height and leaf area index using airborne laser scanning data

S Luo, C Wang, F Pan, X **, G Li, S Nie, S **a - Ecological Indicators, 2015 - Elsevier
Wetland vegetation is a core component of wetland ecosystems. Wetland vegetation
structural parameters, such as height and leaf area index (LAI) are important variables …

Future wet grasslands: ecological implications of climate change

CB Joyce, M Simpson, M Casanova - Ecosystem Health and …, 2016 - spj.science.org
Wet grasslands are threatened by future climate change, yet these are vital ecosystems for
both conservation and agriculture, providing livelihoods for millions of people. These …