350 likes | 515 Views
EG5503 GIS & Earth Observation. Applications. TOPICS. Quantitative remote sensing Rainfall estimation Proxy Air Temperature Agriculture Disaster Management Human Health Hydrodynamics. Quantitative remote sensing?. Estimation of a physical quantity Proxy environmental variables
E N D
EG5503GIS & Earth Observation Applications
TOPICS • Quantitative remote sensing • Rainfall estimation • Proxy Air Temperature • Agriculture • Disaster Management • Human Health • Hydrodynamics
Quantitative 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
Applications 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
Rainfall 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
Rainfall 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
Rainfall 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)
Rainfall estimation Tropical Rainfall Measuring Mission (TRMM): • Precipitation Radar (PR) • TRMM Microwave Imager (TMI) • Visible and Infrared Scanner (VIRS) • Clouds and the Earth’s Radiant Energy System (CERES) • Lightning Image Sensor (LIS)
Rainfall estimation Special Sensor Microwave Imager (SSM/I): • System coordinated by NOAA • Became operational in 1987 • Uses a 7-channel passive microwave radiometer
Rainfall estimation Special Sensor Microwave Imager (SSM/I): Data collected from the SSM/I are used to estimate severalgeophysical 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!)
Proxy 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)
Introduction • Agriculture is big business • A nation’s 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
Introduction • 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
Spectral signatures of sugar cane species. Source: Galvao et al, 2005
Disaster Management • Wildfires Volcanic eruptions • Avalanche Tsunami • Earthquake Landslides • Flooding Extreme weather • Drought Disease • Refugees Military Uses of RS for Disaster Management
Disaster Management PLANNING MITIGATION Monitoring situations Deployment of resources Decision-making Public relations Modelling Assessment Prediction Contingency COST EFFECTIVENESS !!!
Disaster Management PLANNING Disaster Management LEARNING MITIGATION
QuickBird used extensively throughout Asian Tsunami Disaster
Human 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
NDVI and proportion of children testing positive for P. falciparum
Malaria Model prevalence and ERA rainfall
Hydrodynamics stream stream stream river river river stream estuary THE SEA
Hydrodynamics From DeMers, 2002
Hydrodynamics From DeMers, 2002
Further 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
Further Reading TRMM Website: http://www.eorc.nasda.go.jp/TRMM/index_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/tamsat/