Synthesis of a hydrological, water chemistry, and contaminants research program in the Peace-Athabasca Delta (Canada) to inform long-term monitoring of shallow …
In a multistressor world, evidence-based stewardship of aquatic ecosystems requires long-
term monitoring data to understand the timing and magnitude of environmental change and …
term monitoring data to understand the timing and magnitude of environmental change and …
[HTML][HTML] Comparing multispectral and hyperspectral UAV data for detecting peatland vegetation patterns
Northern peatland vegetation exhibits fine-scale spatial and spectral heterogeneity that can
potentially be captured with uncrewed aerial vehicle (UAV) data due to their ultra-high …
potentially be captured with uncrewed aerial vehicle (UAV) data due to their ultra-high …
[HTML][HTML] Wet-ConViT: A Hybrid Convolutional–Transformer Model for Efficient Wetland Classification Using Satellite Data
Accurate and efficient classification of wetlands, as one of the most valuable ecological
resources, using satellite remote sensing data is essential for effective environmental …
resources, using satellite remote sensing data is essential for effective environmental …
[HTML][HTML] A Lightweight Neural Network for the Real-Time Dehazing of Tidal Flat UAV Images Using a Contrastive Learning Strategy
D Yang, Z Zhu, H Ge, H Qiu, H Wang, C Xu - Drones, 2024 - mdpi.com
In the maritime environment, particularly within tidal flats, the frequent occurrence of sea fog
significantly impairs the quality of images captured by unmanned aerial vehicles (UAVs) …
significantly impairs the quality of images captured by unmanned aerial vehicles (UAVs) …
[HTML][HTML] Identification of High-Photosynthetic-Efficiency Wheat Varieties Based on Multi-Source Remote Sensing from UAVs
W Feng, Y Lan, H Zhao, Z Tang, W Peng, H Che, J Zhu - Agronomy, 2024 - mdpi.com
Breeding high-photosynthetic-efficiency wheat varieties is a crucial link in safeguarding
national food security. Traditional identification methods necessitate laborious on-site …
national food security. Traditional identification methods necessitate laborious on-site …
Imaging spectroscopy‐based estimation of aboveground biomass in Louisiana's coastal wetlands: Toward consistent spectroscopic retrievals across atmospheric …
Develo** accurate landscape‐scale aboveground biomass (AGB) maps is critical to
understanding coastal deltaic wetland resilience, as AGB influences stability and elevation …
understanding coastal deltaic wetland resilience, as AGB influences stability and elevation …
[HTML][HTML] A novel weakly-supervised method based on the segment anything model for seamless transition from classification to segmentation: A case study in …
In the quest for large-scale photovoltaic (PV) panel extraction, substantial data volumes are
essential, given the demand for sub-meter rooftop PV resolution. This requires the concept …
essential, given the demand for sub-meter rooftop PV resolution. This requires the concept …
Method for Monitoring Wheat Growth Status and Estimating Yield Based on UAV Multispectral Remote Sensing
J Zhu, Y Li, C Wang, P Liu, Y Lan - Agronomy, 2024 - mdpi.com
An efficient and accurate estimation of wheat growth and yield is important for wheat
assessment and field management. To improve the accuracy and stability of wheat growth …
assessment and field management. To improve the accuracy and stability of wheat growth …
Has river regulation damaged the Peace-Athabasca Delta?
KP Timoney - Ecoscience, 2024 - Taylor & Francis
ABSTRACT The Peace-Athabasca Delta (PAD) is a complex, dynamic, and misunderstood
ecosystem. This study uses landscape, ecological, climatic, hydrologic, historical …
ecosystem. This study uses landscape, ecological, climatic, hydrologic, historical …
[HTML][HTML] Dual-season comparison of OBIA and pixel-based approaches for coastal wetland classification
JPD Simioni, LA Guasselli - RBRH, 2024 - SciELO Brasil
ABSTRACT Map** and classifying Coastal Wetlands is important for their conservation.
The study aimed to apply Object-Based Image Analysis (OBIA) and pixel-based approaches …
The study aimed to apply Object-Based Image Analysis (OBIA) and pixel-based approaches …