Spatially balanced sampling and ground‐level imagery for vegetation monitoring on reclaimed well pads

2019 ◽  
Vol 27 (5) ◽  
pp. 974-980 ◽  
Author(s):  
Michael F. Curran ◽  
Samuel E. Cox ◽  
Timothy J. Robinson ◽  
Blair L. Robertson ◽  
Karen J. Rogers ◽  
...  
Keyword(s):  
Ground Level ◽  
Vegetation Monitoring ◽  
Balanced Sampling ◽  
Spatially Balanced Sampling

scholarly journals Spatially balanced sampling designs for environmental surveys

2019 ◽  
Vol 191 (8) ◽  
Author(s):  
Claire Kermorvant ◽  
Frank D’Amico ◽  
Noëlle Bru ◽  
Nathalie Caill-Milly ◽  
Blair Robertson
Keyword(s):  
Balanced Sampling ◽  
Environmental Surveys ◽  
Spatially Balanced Sampling

Spatially Balanced Sampling through the Pivotal Method

Biometrics ◽  
2011 ◽  
Vol 68 (2) ◽  
pp. 514-520 ◽  
Author(s):  
Anton Grafström ◽  
Niklas L. P. Lundström ◽  
Lina Schelin
Keyword(s):  
Balanced Sampling ◽  
Spatially Balanced Sampling

scholarly journals Deploying four optical UAV-based sensors over grassland: challenges and limitations

2015 ◽  
Vol 12 (1) ◽  
pp. 163-175 ◽  
Author(s):  
S. K. von Bueren ◽  
A. Burkart ◽  
A. Hueni ◽  
U. Rascher ◽  
M. P. Tuohy ◽  
...  
Keyword(s):  
Large Scale ◽  
Near Infrared ◽  
Infrared Camera ◽  
Ground Level ◽  
Analysis Data ◽  
High Spectral Resolution ◽  
Spectral Measurements ◽  
Pasture Management ◽  
Vegetation Monitoring ◽  
Multispectral Camera

Abstract. Unmanned aerial vehicles (UAVs) equipped with lightweight spectral sensors facilitate non-destructive, near-real-time vegetation analysis. In order to guarantee robust scientific analysis, data acquisition protocols and processing methodologies need to be developed and new sensors must be compared with state-of-the-art instruments. Four different types of optical UAV-based sensors (RGB camera, converted near-infrared camera, six-band multispectral camera and high spectral resolution spectrometer) were deployed and compared in order to evaluate their applicability for vegetation monitoring with a focus on precision agricultural applications. Data were collected in New Zealand over ryegrass pastures of various conditions and compared to ground spectral measurements. The UAV STS spectrometer and the multispectral camera MCA6 (Multiple Camera Array) were found to deliver spectral data that can match the spectral measurements of an ASD at ground level when compared over all waypoints (UAV STS: R2=0.98; MCA6: R2=0.92). Variability was highest in the near-infrared bands for both sensors while the band multispectral camera also overestimated the green peak reflectance. Reflectance factors derived from the RGB (R2=0.63) and converted near-infrared (R2=0.65) cameras resulted in lower accordance with reference measurements. The UAV spectrometer system is capable of providing narrow-band information for crop and pasture management. The six-band multispectral camera has the potential to be deployed to target specific broad wavebands if shortcomings in radiometric limitations can be addressed. Large-scale imaging of pasture variability can be achieved by either using a true colour or a modified near-infrared camera. Data quality from UAV-based sensors can only be assured, if field protocols are followed and environmental conditions allow for stable platform behaviour and illumination.

Halton iterative partitioning: spatially balanced sampling via partitioning

2018 ◽  
Vol 25 (3) ◽  
pp. 305-323 ◽  
Author(s):  
Blair Robertson ◽  
Trent McDonald ◽  
Chris Price ◽  
Jennifer Brown
Keyword(s):  
Balanced Sampling ◽  
Iterative Partitioning ◽  
Spatially Balanced Sampling

Spatially Balanced Sampling of Continuous Populations

2018 ◽  
Vol 45 (3) ◽  
pp. 792-805 ◽  
Author(s):  
Anton Grafström ◽  
Alina Matei
Keyword(s):  
Balanced Sampling ◽  
Spatially Balanced Sampling

scholarly journals Optimization of a survey using spatially balanced sampling: a single-year application of clam monitoring in the Arcachon Bay (SW France)

2017 ◽  
Vol 30 ◽  
pp. 37 ◽  
Author(s):  
Claire Kermorvant ◽  
Nathalie Caill-Milly ◽  
Frank D'Amico ◽  
Noëlle Bru ◽  
Florence Sanchez ◽  
...  
Keyword(s):  
Balanced Sampling ◽  
Arcachon Bay ◽  
Spatially Balanced Sampling ◽  
Sw France
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