new gis and remote sensing data new challenges and ... · 3. river conference: “target –and...

3. River Conference: “Target – and invasive species”GIS and remote sensing data - new challenges and insights into habitats of fluvial landscapes

Helmut Kudrnovsky - Cornino – 14 May 2017

New GIS and remote sensing data –new challenges and insights into habitats of

fluvial landscapes

focus on ‚open data‘ and ‚free and open sourcesoftware‘

https://overpass-turbo.eu/

query: name=Tagliamento

waterway=river and name=Tagliamento

GISriver length: 165.38 km

waterway=river and name=Tagliamento

GISriver length: 165.38 km

http://land.copernicus.eu/pan-european/satellite-derived-products/eu-

dem0 50000 100000 150000

river long profile: Tagliamento

distance from source (m)

.s.l.)

dem0 50000 100000 150000

river long profile: Tagliamento

.s.l.)

GISbasin area: ~2717 km2

http://land.copernicus.eu/pan-european/corine-land-cover

CLC 2012 (m2)25 Mixed forest 82017000023 Broad-leaved forest 30559000024 Coniferous forest 24102000026 Natural grasslands 14041000029 Transitional woodland-shrub 11458000027 Moors and heathland 9243000021 Land principally occupied by agriculture, with significant areas of natural vegetation 8517000032 Sparsely vegetated areas 7650000031 Bare rocks 4738000030 Beaches, dunes, sands 4120000018 Pastures 326900002 Discontinuous urban fabric 1810000020 Complex cultivation patterns 88200003 Industrial or commercial units 470000012 Non-irrigated arable land 393000041 Water bodies 299000034 Glaciers and perpetual snow 18300004 Road and rail networks and associated land 1400000

0 50000 100000 150000

distance to landcover: Discontinuous urban fabric

0 50000 100000 150000

distance to landcover: Non-irrigated arable land

http://esdac.jrc.ec.europa.eu/themes/monthly-erosivity

https://pubs.usgs.gov/fs/2015/3081/fs20153081.pdf

preconditions for time series

http://alectoria.blogspot.co.at/2016/01/alpine-gravel-bed-rivers-seen-from-

far.html

https://sentinel.esa.int/web/sentinel/missions/sentinel-2

preconditions for time series

river Isel

river Tagliamento

https://modis.gsfc.nasa.gov/about/

http://www.mdpi.com/2072-4292/6/5/3822

http://www.worldclim.org/bioclim

http://www.mdpi.com/2072-4292/6/5/3822

https://courses.neteler.org/eurolst-seamless-gap-free-daily-european-maps-

land-surface-temperatures/

0 50000 100000 150000

BIO01: Annual mean temperature

0 50000 100000 150000

BIO50: Maximum temperature of the warmest month

distance from source (m)°C

0 50000 100000 150000

BIO06: Minimum temperature of the coldest month

0 50000 100000 150000

BIO10: Mean temperature of the warmest quarter

0 50000 100000 150000

BIO11: Mean temperature of the coldest quarter

0 50000 100000 1500006

0 50000 100000 150000

0 50000 100000 1500006

0 50000 100000 150000

http://www.worldclim.org/

http://chelsa-climate.org/

focus on open data and free and open sourcesoftware

GRASS GIS (https://grass.osgeo.org/)R (https://www.r-project.org/)

summary notes

• data available for large regions/continent/world• spatial resolution: from high (e.g. laser scans) to medium (e.g.

MODIS)• spatial resolution of satellite data (e.g. 10m to 30m) appropriate

for rivers with large fluvial landscapes (e.g. Tagliamento, Lech, Isar, …), but not for e.g. smaller riverine landscapes (e.g. Isel, …)

• mountain regions may influence data quality (e.g. shadowing, …)• challenge of high data amount (e.g. LANDSAT/SENTINEL time

series): up to terabytes• data management and storage• no out-of-the-box analysis methods• …

Sentinel impressions

new gis and remote sensing data new challenges and ... · 3. river conference: “target –and...

Documents