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Veronica Andreo
Veronica Andreo
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remote sensing
Analyzing space-time satellite data for disease ecology applications with GRASS GIS and R stats
Workshop at OpenGeoHub Summer School 2019 about the analysis of space-time satellite data for disease ecology applications with GRASS GIS and R stats.
Sep 5, 2019 11:00 AM — 1:00 PM
Muenster, Germany
Veronica Andreo
Slides
Video
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Analyzing space-time satellite data with GRASS GIS for environmental monitoring
Workshop at OpenGeoHub Summer School 2019 about the analysis of space-time satellite data with GRASS GIS for environmental monitoring.
Sep 4, 2019 2:00 PM — 4:30 PM
Muenster, Germany
Veronica Andreo
Slides
Video
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Introduction to GRASS GIS
Intro to GRASS GIS workshop at OpenGeoHub Summer School 2019 together with Markus Neteler.
Sep 3, 2019 11:00 AM — 1:00 PM
Muenster, Germany
Veronica Andreo and Markus Neteler
Code
Slides
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Rodents and satellites: Predicting mice abundance and distribution with Sentinel-2 data
Remote sensing data is widely used in numerous ecological applications. The Sentinel-2 satellites (S2 A and B), recently launched by …
V. Andreo
,
M. Belgiu
,
D. Brito Hoyos
,
F. Osei
,
C. Provensal
,
A. Stein
PDF
Spatiotemporal data processing and visualization in GRASS GIS
Talk at Geostat 2018 about processing and visualizing time series data in GRASS GIS.
Aug 23, 2018 11:00 AM — 12:30 PM
Prague, Czech Republic
Veronica Andreo
Slides
Video
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Identifying favorable spatio-temporal conditions for West Nile Virus outbreaks by co-clustering of MODIS LST indices time series
This study presents the first results of the use of co-clustering to identify potential spatial and temporal concurrences of favourable …
V. Andreo
,
E. Izquierdo-Verdiguier
,
R. Zurita-Milla
,
R. Rosa
,
A. Rizzoli
,
A. Papa
PDF
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Regional scale environmental variables complementing a Risk Model of Chagas Disease vectorial transmission
In thIS study we present advances in the analysis of environmental variables obtained from moderate resolution satellite images and …
X. Porcasi
,
V. Andreo
,
A. Ferral
,
P. Guimarey
,
M. S. Santini
,
C. Spillmann
,
R. Hernandez
,
A. Geuna Serra
,
E. Aguirre
PDF
Effect of Climate and Land Use on the Spatio-Temporal Variability of Tick-Borne Bacteria in Europe
The incidence of tick-borne diseases caused by
Borrelia burgdorferi
sensu lato,
Anaplasma phagocytophilum
and
Rickettsia
spp. has been …
R. Rosa
,
V. Andreo
,
V. Tagliapietra
,
I. Barakova
,
D. Arnoldi
,
H. Hauffe
,
M. Manica
,
F. Rosso
,
L. Blanarova
,
M. Bona
,
M. Derdakova
,
Z. Hamsikova
,
M. Kazimirova
,
J. Kraljik
,
E. Kocianova
,
L. Mahrikova
,
L. Minichova
,
L. Mosansky
,
M. Slovak
,
M. Stanko
,
E. Spitalska
,
E. Ducheyne
,
M. Neteler
,
Z. Hubalek
,
I. Rudolf
,
K. Venclikova
,
C. Silaghi
,
E. Overzier
,
R. Farkas
,
G. Foldvari
,
S. Hornok
,
N. Takacs
,
A. Rizzoli
PDF
A New Fully Gap-Free Time Series of Land Surface Temperature from MODIS LST Data
Temperature time series with high spatial and temporal resolutions are important for several applications. The new MODIS Land Surface …
M. Metz
,
V. Andreo
,
M. Neteler
PDF
How to aggregate daily data into MODIS-like 8 day aggregation pattern?
Several MODIS products come in “8-day” compositions. Suppose we have daily data and we want to aggregate it with this MODIS-like granularity. How can we achieve that? First idea would be to use the great t.
Last updated on May 24, 2020
6 min read
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