Unmanned aerial vehicles in hydrology and water management: Applications, challenges, and perspectives
BS Acharya, M Bhandari, F Bandini… - Water Resources …, 2021 - Wiley Online Library
The hydrologic sciences and water resources management have long depended on a
combination of in situ measurements and remotely sensed data for research and regulatory …
combination of in situ measurements and remotely sensed data for research and regulatory …
Cyanobacterial harmful algal blooms in aquatic ecosystems: A comprehensive outlook on current and emerging mitigation and control approaches
An intensification of toxic cyanobacteria blooms has occurred over the last three decades,
severely affecting coastal and lake water quality in many parts of the world. Extensive …
severely affecting coastal and lake water quality in many parts of the world. Extensive …
UAVs as remote sensing platforms in plant ecology: review of applications and challenges
Abstract Aims Unmanned aerial vehicles (UAVs), ie drones, have recently emerged as cost-
effective and flexible tools for acquiring remote sensing data with fine spatial and temporal …
effective and flexible tools for acquiring remote sensing data with fine spatial and temporal …
Applications of unmanned aerial systems (UASs) in hydrology: A review
In less than two decades, UASs (unmanned aerial systems) have revolutionized the field of
hydrology, bridging the gap between traditional satellite observations and ground-based …
hydrology, bridging the gap between traditional satellite observations and ground-based …
Application of drone technologies in surface water resources monitoring and assessment: A systematic review of progress, challenges, and opportunities in the global …
Accurate and timely information on surface water quality and quantity is critical for various
applications, including irrigation agriculture. In-field water quality and quantity data from …
applications, including irrigation agriculture. In-field water quality and quantity data from …
Deep learning applications for hyperspectral imaging: a systematic review
A Ozdemir, K Polat - Journal of the Institute of Electronics and …, 2020 - iecscience.org
Since the acquisition of digital images, scientific studies on these images have been making
significant progress. The sizes and quality of the images obtained have increased greatly …
significant progress. The sizes and quality of the images obtained have increased greatly …
Advancing cyanobacteria biomass estimation from hyperspectral observations: Demonstrations with HICO and PRISMA imagery
Retrieval of the phycocyanin concentration (PC), a characteristic pigment of, and proxy for,
cyanobacteria biomass, from hyperspectral satellite remote sensing measurements is …
cyanobacteria biomass, from hyperspectral satellite remote sensing measurements is …
[HTML][HTML] State of knowledge on early warning tools for cyanobacteria detection
H Almuhtaram, FA Kibuye, S Ajjampur, CM Glover… - Ecological …, 2021 - Elsevier
The potential for cyanobacterial blooms to impact recreational and drinking water source
quality is a growing concern. Numerous monitoring tools have been developed that can alert …
quality is a growing concern. Numerous monitoring tools have been developed that can alert …
Cyanobacteria cell prediction using interpretable deep learning model with observed, numerical, and sensing data assemblage
Massive cyanobacterial blooms in river water causes adverse impacts on aquatic
ecosystems and water quality. Complex and diverse data sources are available to …
ecosystems and water quality. Complex and diverse data sources are available to …
Data assimilation in surface water quality modeling: A review
Data assimilation (DA) techniques are powerful means of dynamic natural system modeling
that allow for the use of data as soon as it appears to improve model predictions and reduce …
that allow for the use of data as soon as it appears to improve model predictions and reduce …