Results 121 to 130 of about 47,757 (245)

Method for Obtaining Water-Leaving Reflectance from Unmanned Aerial Vehicle Hyperspectral Remote Sensing Based on Air–Ground Collaborative Calibration for Water Quality Monitoring

Remote Sensing
Unmanned aerial vehicle (UAV) hyperspectral remote sensing imaging systems have demonstrated significant potential for water quality monitoring. However, accurately obtaining water-leaving reflectance from UAV imagery remains challenging due to complex ...
Hong Liu, Xingsong Hou, Bingliang Hu, Tao Yu, Zhoufeng Zhang, Xiao Liu, Xueji Wang, Zhengxuan Tan   +7 more
doaj   +1 more source

Spraying drones: efficacy of integrating an avian repellent with drone hazing to elicit blackbird flock dispersal and abandonment of sunflower fields

Wildlife Biology, EarlyView.
Multiple management strategies exist to combat bird damage to agriculture. We explored combining two tools, drones as frightening devices and an avian repellent, to assess effectiveness of an integrated method to deter large flocks on complex landscapes. We evaluated the ability of a spraying drone (DJI Agras MG‐1P) deploying Avian Control (i.e. active
Jessica L. Duttenhefner, Timothy J. Greives, Page E. Klug   +2 more
wiley   +1 more source

UAV Quantitative Remote Sensing of Riparian Zone Vegetation for River and Lake Health Assessment: A Review

Remote Sensing
River and lake health assessment (RLHA) is an important approach to alleviating the conflict between protecting river and lake ecosystems and fostering socioeconomic development, aiming for comprehensive protection, governance, and management. Vegetation,
Fei Song, Wenyong Zhang, Tenggang Yuan, Zhenqing Ji, Zhiyu Cao, Baorong Xu, Lei Lu, Songbing Zou   +7 more
doaj   +1 more source

Research on UAV Remote Sensing in River Monitoring

Highlights in Science, Engineering and Technology
The scarcity and pollution of water resources pose significant constraints on both the economic development of a region and the well-being of its inhabitants. Effective monitoring of the water environment is crucial in addressing these issues. Currently, traditional methods for river water quality supervision, such as manual sampling and laboratory ...
Jiayin Li, Houde Xu
openaire   +1 more source

Evaluating machine learning models for multi‐species wildlife detection and identification on remote sensed nadir imagery in South African savanna

Wildlife Biology, EarlyView.
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin, Fadel Seydou, Radloff Frans, Andrew Davies, Alison Leslie   +4 more
wiley   +1 more source

Research on Classification of Grassland Degeneration Indicator Objects Based on UAV Hyperspectral Remote Sensing and 3D_RNet-O Model

Sensors
Real-time and high-precision land cover classification is the foundation for efficient and quantitative research on grassland degradation using remote sensing techniques.
Eerdoumutu Jin, Jianmin Du, Yuge Bi, Shengli Wang, Xinchao Gao   +4 more
doaj   +1 more source

Quantifying microhabitat selection of snowshoe hares using forest metrics from UAS‐based LiDAR

Wildlife Biology, EarlyView.
Identifying the spatial and temporal scale at which animals select resources is critical for predicting how populations respond to changes in the environment. The spatial distribution of fine‐scale resources (e.g. patches of dense vegetation) are often linked with critical life‐history requirements such as denning and feeding sites.
Alexej P. K. Sirén, Franklin Sullivan, Rachel Cliché, Jeremy Goetz, Leighlan S. Prout, Jillian Kilborn, Katelyn Courtot, Michael Palace   +7 more
wiley   +1 more source

Estimating red deer Cervus elaphus population density using drones in a steep and rugged terrain

Wildlife Biology, EarlyView.
Precise and accurate information about population density, crucial for wildlife management, is difficult to obtain for elusive species living in dense forests or steep and inaccessible terrain. Using unmanned aerial vehicles (UAVs), we developed a method for obtaining absolute population estimates of ungulates living in steep, rugged, and partly ...
Julie Bommerlund, Torbjørn Ergon, Simon Filhol, Atle Mysterud   +3 more
wiley   +1 more source

Design and Construction of UAV-Based Measurement System for Water Hyperspectral Remote-Sensing Reflectance

Sensors
Acquiring a large number of in situ water spectral measurements is fundamental for constructing water color remote-sensing retrieval models and validating the accuracy of water color remote-sensing products.
Haohui Zeng, Xianqiang He, Yan Bai, Fang Gong, Difeng Wang, Xuan Zhang   +5 more
doaj   +1 more source

Super Resolution for Mangrove UAV Remote Sensing Images

Symmetry
Mangroves play a crucial role in ecosystems, and the accurate classification and real-time monitoring of mangrove species are essential for their protection and restoration. To improve the segmentation performance of mangrove UAV remote sensing images, this study performs species segmentation after the super-resolution (SR) reconstruction of images ...
Qin Qin, Wenlong Dai, Xin Wang
openaire   +1 more source