Geographic Information Systems (GIS) analysis of 34 forecasted high West Nile virus (WNV) risk communities in British Columbia (BC), Canada was useful to assess feasibility and planning of the operational logistics of an emergency spray event in advance of a WNV outbreak. The geographic coverage and operational time required to perform ground- and aerial-based ultra-low volume (ULV) adulticiding were calculated using GIS. The mean geographic coverages of the ground-, aerial-, and combination of ground- and aerial-based adulticiding strategies were 39%, 61%, and 69%, respectively. The driving distance, driving time, and number of treatment nights required to perform ground-based spraying of an entire community were also calculated. Due to the large variability of treatment coverage estimates within and among the communities, no single treatment method was identified as the best strategy for province-wide ULV adulticiding in BC. Instead, the strategy for each community should be examined individually with local knowledge and expertise.

Download full-text PDF

Source
http://dx.doi.org/10.2987/5609.1DOI Listing

Publication Analysis

Top Keywords

ground- aerial-based
12
geographic systems
8
assess feasibility
8
aerial-based adulticiding
8
west nile
8
nile virus
8
british columbia
8
columbia canada
8
required perform
8
ulv adulticiding
8

Similar Publications

Article Synopsis
  • Weeds can harm crop yields, prompting the use of robots for targeted herbicide application based on weed identification through computer vision.
  • This paper presents a unique dataset of 3,975 annotated images of five common weed species in North Dakota, collected using both handheld cameras and drones, enhancing the adaptability of weed control technologies.
  • The dataset is open-source and employs various augmentation techniques to mirror real-world conditions, aiming to improve precision farming and sustainable agricultural practices.
View Article and Find Full Text PDF

Preparation for post-hurricane mosquito control is essential for an effective emergency response to protect public health and promote recovery efforts. Effective pre-hurricane planning includes laying the groundwork for a successful reimbursement application to the Federal Emergency Management Agency. The critical and overlapping need to sustain funding for mosquito control programs is highlighted here in the context of both normal and emergency responses.

View Article and Find Full Text PDF

Seagrasses have been widely recognized for their ecosystem services, but traditional seagrass monitoring approaches emphasizing ground and aerial observations are costly, time-consuming, and lack standardization across datasets. This study leveraged satellite imagery from Maxar's WorldView-2 and WorldView-3 high spatial resolution, commercial satellite platforms to provide a consistent classification approach for monitoring seagrass at eleven study areas across the continental United States, representing geographically, ecologically, and climatically diverse regions. A single satellite image was selected at each of the eleven study areas to correspond temporally to reference data representing seagrass coverage and was classified into four general classes: land, seagrass, no seagrass, and no data.

View Article and Find Full Text PDF

Poaching Detection Technologies-A Survey.

Sensors (Basel)

May 2018

Pervasive Systems Group, University of Twente, Enschede 7522 NB, The Netherlands.

Between 1960 and 1990, 95% of the black rhino population in the world was killed. In South Africa, a rhino was killed every 8 h for its horn throughout 2016. Wild animals, rhinos and elephants, in particular, are facing an ever increasing poaching crisis.

View Article and Find Full Text PDF

Spatio-temporal monitoring of cotton cultivation using ground-based and airborne multispectral sensors in GIS environment.

Environ Monit Assess

July 2017

Institute of Soil and Water Resources, Department of Soil Science of Athens, Hellenic Agricultural Organization-DEMETER, 1 S. Venizelou Str., 14123, Lykovrissi, Athens, Greece.

Multispectral sensor capability of capturing reflectance data at several spectral channels, together with the inherent reflectance responses of various soils and especially plant surfaces, has gained major interest in crop production. In present study, two multispectral sensing systems, a ground-based and an aerial-based, were applied for the multispatial and temporal monitoring of two cotton fields in central Greece. The ground-based system was Crop Circle ACS-430, while the aerial consisted of a consumer-level quadcopter (Phantom 2) and a modified Hero3+ Black digital camera.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!