Results 51 to 60 of about 12,061 (187)

Environmental drivers influencing the ambrosia beetle community: The primary role of geographic and climatic drivers in chestnut‐growing areas

open access: yesAgricultural and Forest Entomology, EarlyView.
Ethanol‐baited traps were placed in cultivated chestnut orchards (a) and mixed environments with assorted tree composition (b), over a 2‐year monitoring period in two valleys (NW Italy). A total of 118,286 ambrosia beetles was collected, representing six species.
Eleonora Vittoria Fontana   +1 more
wiley   +1 more source

Providing a subsurface reservoir quality maps in oil fields by geostatistical methods

open access: yesGeodesy and Cartography, 2013
Under study reservoir oilfield is located south-west of Iran. This field is comprised of naturally fractured Asmari and Bangestan formation. Reservoir management and characteristic evaluation of this field requires good knowledge of reservoir rock and ...
Hakimeh Amanipoor
doaj   +1 more source

A New Approach to Transforming Airborne Electromagnetic Data into Models of Sediment Type

open access: yesGroundwater, EarlyView.
A new methodology provides the relationship needed to transform electrical resistivity measurements from airborne electromagnetic surveys to sediment type. By accounting for the physics of the measurement and the quality of the driller's logs used in developing the transform, the method improves the accuracy of derived sediment type models.
Rebecca Prentice   +2 more
wiley   +1 more source

Contemporary Applications of Geostatistics to Soil Studies

open access: yesSoil Systems
This Special Issue presents carefully selected examples of Contemporary Applications of Geostatistics to Soil Studies [...]
Jarosław Zawadzki
doaj   +1 more source

Temporal Evolution of Contaminant Mass Discharge: Effect of Source Remediation at Contaminated Sites

open access: yesGroundwater Monitoring &Remediation, EarlyView.
Abstract Contaminant mass discharge (CMD) is a key metric for evaluating remediation performance at contaminated sites posing a risk to groundwater. This study assesses temporal CMD trends and associated uncertainties using a geostatistical approach at a chlorinated solvent contaminated site following source zone remediation, supported by two decades ...
Anton Bøllingtoft   +4 more
wiley   +1 more source

Remote sensing and geostatistics

open access: yes, 1998
In geostatistics, spatial autocorrelation is utilized to estimate optimally local values from data sampled elsewhere. The powerful synergy between geostatistics and remote sensing went unrealized until the 1980s.
Curran, Paul J., Atkinson, Peter M.
core   +5 more sources

Weed mapping using techniques of precision agriculture [PDF]

open access: yesPlanta Daninha, 2015
The aim of this study was to identify and map the weed population in a no-tillage area. Geostatistical techniques were used in the mapping in order to assess this information as a tool for the localized application of herbicides.
F.C. ROCHA   +5 more
doaj   +1 more source

Computationally Efficient Ranking of Sampling Locations by Redundancy in Groundwater Monitoring Networks

open access: yesGroundwater Monitoring &Remediation, EarlyView.
Abstract The long‐term and frequent sampling of groundwater monitoring networks is common practice for monitoring the concentrations of constituents of potential concern (CoPC) over space and time. Sampling can be a costly and time‐intensive process that also incurs health and safety risks. A redundancy‐based ranking of candidate sampling locations can
Peter Radvanyi   +5 more
wiley   +1 more source

CROATIAN GEOSTATISTICAL DICTIONARY

open access: yesRudarsko-geološko-naftni Zbornik, 2013
Geostatistical model and interpretation very often are made by using computer programs. Consequently, application and development of geostatistics are closely connected with progress of informatics and computers.
Tomislav Malvić   +1 more
doaj  

On Spatial Point Processes With Composition‐Valued Marks

open access: yesInternational Statistical Review, EarlyView.
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt   +2 more
wiley   +1 more source

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