Title: EG5503 GIS
1EG5503GIS Earth Observation
2TOPICS
- Quantitative remote sensing
- Rainfall estimation
- Proxy Air Temperature
- Agriculture
- Disaster Management
- Human Health
- Hydrodynamics
3Quantitative remote sensing?
- Estimation of a physical quantity
- Proxy environmental variables
- Application driven
- Less science and more operational
- Makes use of algorithms
- Interfaces with environmental models
4Applications that use quantitative RS
- Agriculture
- NDVI, temperature, rainfall
- Health
- NDVI, temperature, rainfall, dust, wind
- Hydrology
- Rainfall
- Climate change
- NDVI, temperature, rainfall
- Weather forecasting
- Winds, rainfall
5Rainfall estimation
- Cold Cloud Duration (CCD) using Meteosat
- Tropical Rainfall Measuring Mission using radar
(TRMM) - Special Sensor Microwave Imager (SSM/I) rainfall
measurement using microwave instruments
6Rainfall estimation
Cold Cloud Duration (CCD)
- Pioneered by work of Lethbridge, 1967
- Became an operational system thanks to Milford
and Dugdale at TAMSAT (University of Reading) - Based on relationship between period during which
convective cloud tops are below a specific
threshold and rainfall measured beneath them
7Rainfall estimation
Tropical Rainfall Measuring Mission (TRMM)
- TRMM mission is a joint US/Japan effort
coordinated by NASDA (National Space Development
Agency of Japan) - TRMM was launched in 1997 with an initial
mission life of 3 years - TRMM data is relayed to NASA Goddard Space Flight
Center (GSFC)
8Rainfall estimation
Tropical Rainfall Measuring Mission (TRMM)
- Precipitation Radar (PR)
- TRMM Microwave Imager (TMI)
- Visible and Infrared Scanner (VIRS)
- Clouds and the Earths Radiant Energy System
(CERES) - Lightning Image Sensor (LIS)
9Rainfall estimation
Special Sensor Microwave Imager (SSM/I)
- System coordinated by NOAA
- Became operational in 1987
- Uses a 7-channel passive microwave radiometer
10Rainfall estimation
Special Sensor Microwave Imager (SSM/I)
- Data collected from the SSM/I are used to
estimate several geophysical parameters
including - Rainfall Rate
- Rainfall Frequency
- Cloud Liquid Water
- Cloudiness Frequency
- Total Precipitable Water
- Snow Cover
- Sea-Ice
- Sampling Frequency
- Ocean Surface Wind Speed (1.0 degree only!)
11Proxy Air Temperature
- LST (land surface temperature) may be converted
to a proxy air temperature by means of a solar
correction algorithm - Knowing the position of the Sun at the time an
image is acquired allows the LST to be
transformed into a proxy for air temperature
(approx 1m above the ground)
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15Introduction
- Agriculture is big business
- A nations food supply affects both its economic
status and political stability - In Europe and the US the greatest concern is
profit and getting crops to market and obtaining
a good price whilst staying cheap - In the developing world the issue is food
security and the wellbeing of the population
16Introduction
- Monitoring of crops from space or aircraft aids
decision making - When to irrigate and what fertilizer is needed
- Management of crop rotation and set-aside
- Most large-scale commercial farms are so large
that monitoring cannot be made on foot so remote
sensing is the clear choice
17Spectral signatures of sugar cane species.
Source Galvao et al, 2005
18Disaster Management
Uses of RS for Disaster Management
- Wildfires Volcanic eruptions
- Avalanche Tsunami
- Earthquake Landslides
- Flooding Extreme weather
- Drought Disease
- Refugees Military
19Disaster Management
PLANNING
MITIGATION
Monitoring situations Deployment of
resources Decision-making Public relations
Modelling Assessment Prediction Contingency
COST EFFECTIVENESS !!!
20Disaster Management
PLANNING
Disaster Management
MITIGATION
LEARNING
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22QuickBird used extensively throughout Asian
Tsunami Disaster
23Human Health
- Health and disease often has a spatial component
- Climatic, environmental and socio-economic
variables affect health - Epidemics and outbreaks spread across a region
either as a function of movement of people or
environmental factors
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25NOAA-AVHRR station Addis Ababa (Ethiopia)
26Rainfall maps from Cold Cloud Duration - Meteosat
27NDVI and proportion of children testing positive
for P. falciparum
28Ancilliary geographical information
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30Malaria Model prevalence and ERA rainfall
31Hydrodynamics
stream
stream
stream
river
river
river
stream
estuary
THE SEA
32Hydrodynamics
From DeMers, 2002
33Hydrodynamics
From DeMers, 2002
34Further Reading
Cresswell MP, Morse AP, Thomson MC and Connor SJ.
(1999). Estimating surface air temperatures from
Meteosat land surface temperatures using an
empirical solar zenith angle model. International
Journal of Remote Sensing, Vol 20 (6),
1125-1132. Lethbridge M. (1967). Precipitation
probability and satellite radiation data. Monthly
Weather Review, Vol 95 (7), 487-490 Milford J
and Dugdale G. (1990). Estimation of rainfall
using geostationary satellite data. In
Applications of Remote Sensing in Agriculture.
Edited by Steven M and Clark J. Published by
Butterworths, London Dugdale G, Hardy S and
Milford J. (1991). Daily catchment rainfall
estimated from Meteosat. Hydrological Processes,
Vol 5, 261-270
35Further Reading
TRMM Website http//www.eorc.nasda.go.jp/TRMM/ind
ex_e.htm SSM/I Website http//nsidc.org/data/docs
/daac/ssmi_instrument.gd.html/ TAMSAT (CCD
Rainfall) Website http//www.met.reading.ac.uk/ta
msat/