This document discusses water temperature and leaf area index datasets for the Zambezi River Basin and surrounding areas derived from Landsat 8 and Sentinel-2 satellite imagery. It describes the processing steps to generate water temperature and leaf area index maps at monthly intervals from 2013 to 2016. Additional datasets provided for analysis include Landsat imagery, land use classifications, waterbody maps, and demographic data for the Zambezi and Omo River basins.
2. Water temperature from Landsat 8
Case study
Water temperature from
Landsat 8 derived for the
Lake Cahora Bassa till
western part of Lake
Cariba.
4 tiles needed to cover
area
Temporal coverage:
2013
Temporal resolution:
~monthly
=> ~50 scenes, 250GB
2
3. Water temperature from Landsat 8
Case study
Processing
Generation of a multi-
temporal water mask.
Erosion of this mask at
the borders to eliminate
influence of coastal
areas and to take into
account the spatial
resolution of LS 8
Calculation of water
temperature from
thermal band
3
Water
4. Water temperature from Landsat 8
Case study
4
Extraction of
temperature at specific
points for validation
5. Leaf Area Index Datasets
Luia basin
Leaf Area Index based on
Landsat & Sentinel data for
Luia basin
6 Sentinel-2 tiles needed to
cover area
Temporal coverage: 2010-
2016
Temporal resolution:
~monthly (increasing after
2013 with LS8 and 2016 with
Sentinel 2)
=> ~350 scenes, 1.1TB (only
scenes with low cloud cover!)
5
24.4.2016
24.4.201628.3.2016
27.4.201627.4.2016
28.3.2016
7. Other Datasets provided by Vista
Lunsemfwa basin
7
Data provided for the field trip of Stefaan & Fitz
Two atmospherically corrected Landsat 8 Images (false Colour
Infrared) , Path/Row 171/70 & 172/70 from June/July 2016
corresponding land use classification
Leaf Area Index
8. Other datasets provided by Vista
Zambesi basin
8
Landsat mosaic in full
resolution for the whole
Zambesi catchment
Waterbodies derived by
Landsat images of the
past 32 years (dataset
by JRC)
Globcover datasets
(300m resolution,
2006&2009)
Various demographic
datasets(population
count, density)