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Remote Sensing as landscape inventory tool
Thomas Gumbricht (ICRAF)
Thomas Gumbricht Sentinel landscapes, CIFOR 2011
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PART 1 – A hierarchical approach
Thomas Gumbticht Sentinel landscapes, CIFOR 2011
Ecotope
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Thomas Gumbticht Sentinel landscapes, CIFOR 2011
PART 1 – A hierarchical approach
Patch and hillslope
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Thomas Gumbticht Sentinel landscapes, CIFOR 2011
PART 1 – A hierarchical approach
Basin
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Thomas Gumbticht Sentinel landscapes, CIFOR 2011
PART 1 – A hierarchical approach
Continental
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Thomas Gumbticht Sentinel landscapes, CIFOR 2011
PART 1 – A hierarchical approach
Africa Soil Information Service (AfSIS) – sentinel sites
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Sentinel landscapes, CIFOR 2011
PART 1 – A hierarchical approach
Sentinel site design
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Monitoring vegetation annual phenology from time series of satellite imagery
Thomas Gumbticht Sentinel landscapes, CIFOR 2011
PART 2 – phenology monitoring
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Deriving vegetation density data form satellite data – basic principles
PART 2 – phenology monitoring
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Method: Capturing the raw data To do phenology studies requires a large amount of input data. At HQ we are using an automated FTP engine (Expect) to search the MODIS Data Pool https://lpdaac.usgs.gov/get_data/data_pool For the data we need.
PART 2 – phenology monitoring
Sentinel landscapes, CIFOR 2011
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Cleaning and smoothing the annual time-series
PART 2 – phenology monitoring
Sentinel landscapes, CIFOR 2011
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Extracting annual phenology For the annual vegetation phenology, we extract 11 indexes: 1. The annual average vegetation density 2. The annual maximum vegetation density 3. The annual minimum vegetation density 4. The annual limit for vegetation green up 5. The accumulated vegetation growth over the growing season(s) 6. The incremental vegetation growth over the growing seasons(s) 7. The length of the growing season(s) 8. The length of the green up phase of the growing season 9. The annual day of year for the start of the first growing season 10. The annual day of year for the peak of the vegetation density 11. The number of growing seasons The first three indexes are based on the total annual vegetation cycle. The limit for vegetation green up is calculated per annum, and based on a ratio definition: EVIratio = (EVI - EVImin)/(EVImax – EVImin),
PART 2 – phenology monitoring
Sentinel landscapes, CIFOR 2011
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Annual average vegetation density Annual maximum vegetation density
Method: Extracting annual phenology The annual average vegetation density The annual maximum vegetation density
PART 2 – phenology monitoring
Sentinel landscapes, CIFOR 2011
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Length of growing season Length of greening up period
Method: Extracting annual phenology The annual day of year for the start of the first growing season The annual day of year for the peak of the vegetation density
PART 2 – phenology monitoring
Sentinel landscapes, CIFOR 2011
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Method: Land use and land cover mapping The phenology data generated from annual time series of satellite images can be used for mapping land cover and land use. The phenology curve can be be used to differentiate vegetation types that can not be distinguished in a single scene of multi-spectral image data. I.e. Forests of different types, as well as grasslands and various agricultural crops have different phenology. To actual classify land use and land cover from phenology, we need to develop a library of typical phenology patterns. For this we need to develop field surveys or use phenology patterns reported in the literature.
PART 2 – phenology monitoring
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Other indexes that could be used for analyzing annual variations like phenology
Rainfall (can be obtained from a combination of station data and Remote Sensing)
Temperature (available from the MODIS sensor)
Surface wetness (index can be generated from MODIS reflectance and emissivity data)
Sentinel landscapes, CIFOR 2011
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PART 3 – biophysical indexing
Sentinel landscapes, CIFOR 2011
Method summary
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PART 3 – Biophysical indexing
Sentinel landscapes, CIFOR 2011
Lake Naivasha - Kenya
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PART 3 – Biophysical indexing
Sentinel landscapes, CIFOR 2011
Lake Naivasha - Kenya
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PART 3 – Biophysical indexing
Sentinel landscapes, CIFOR 2011
Lake Naivasha - Kenya
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PART 3 – Biophysical indexing
Sentinel landscapes, CIFOR 2011
Lake Naivasha - Kenya
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PART 3 – Biophysical indexing
Sentinel landscapes, CIFOR 2011
Lake Naivasha - Kenya
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PART 3 – Biophysical indexing
Sentinel landscapes, CIFOR 2011
Lake Naivasha - Kenya
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PART 3 – Biophysical indexing
Sentinel landscapes, CIFOR 2011
Lake Naivasha - Kenya
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Mount Kilimanjaro - Kenya
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Sentinel landscapes, CIFOR 2011
Mount Kilimanjaro - Kenya
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Web client 1: Google Earth
PART 4 – Databases and data sharing
Sentinel landscapes, CIFOR 2011
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Web client 2: Openlayers
PART 4 – Databases and data sharing
Sentinel landscapes, CIFOR 2011
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Desktop client QGIS
PART 4 – Databases and data sharing
Sentinel landscapes, CIFOR 2011