EG2234 Earth Observation Applications of Remote sensing.

Slides:



Advertisements
Similar presentations
8.10 Weather Forecasts Objectives:
Advertisements

Quantitative information on agriculture and water use Maurits Voogt Chief Competence Center.
MONITORING EVAPOTRANSPIRATION USING REMOTELY SENSED DATA, CONSTRAINTS TO POSSIBLE APPLICATIONS IN AFRICA B Chipindu, Agricultural Meteorology Programme,
EG2234 Earth Observation DISASTER Mitigation and relief.
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
EG2211 Earth Observation Applications of Remote sensing.
Monitoring the hydrologic cycle in the Sierra Nevada mountains.
ATS 351 Lecture 8 Satellites
Forecasting Weather After completing this section, students will analyze weather maps and the resulting regional weather (Standard PI – 061)
Focus on the Terrestrial Cryosphere Cold land areas where water is either seasonally or permanently frozen. Terrestrial Cryosphere 0.25 m Frost Penetration.
CSIRO LAND and WATER Estimation of Spatial Actual Evapotranspiration to Close Water Balance in Irrigation Systems 1- Key Research Issues 2- Evapotranspiration.
Dr. Sarawut NINSAWAT GEO Grid Research Group/ITRI/AIST GEO Grid Research Group/ITRI/AIST Development of OGC Framework for Estimating Near Real-time Air.
EG5503 GIS & Earth Observation Applications. TOPICS Quantitative remote sensing Rainfall estimation Proxy Air Temperature Agriculture Disaster Management.
Lesson: Observing Monsoon Weather Patterns with TRMM Data
Flood Risk Modeling in Thailand … and more … Alexander Lotsch Commodity Risk Management Group Agriculture and Rural Development The World Bank Group.
MARS METEOROLOGY Eve Halligan Science Education Consultant
Section 12.3 Gathering Weather Data
EG2234 Earth Observation DISASTER Mitigation and relief.
Guided Notes on Gathering Weather Data
Recent advances in remote sensing in hydrology
Technical Seminar Presentation-2004 MICROWAVE REMOTE SENSING Kishore Kumar ParidaEC [1] Microwave Remote Sensing (MRS) Presented by Kishore Kumar.
Passive Microwave Remote Sensing
Ch 8: Lesson 4: How are Forecasts Made?. Collecting Data To describe a weather system, you need to describe all its parts; 1.temperature 2.moisture 3.clouds.
How Do Forests, Agriculture and Residential Neighborhoods Interact with Climate? Andrew Ouimette, Lucie Lepine, Mary Martin, Scott Ollinger Earth Systems.
EG2234: Earth Observation Introduction to RS Dr Mark Cresswell.
Satellite-derived Sea Surface Temperatures Corey Farley Remote Sensing May 8, 2002.
SATELLITE METEOROLOGY BASICS satellite orbits EM spectrum
Remote Sensing of Evapotranspiration with MODIS
OC3522Summer 2001 OC Remote Sensing of the Atmosphere and Ocean - Summer 2001 Microwave Applications.
Investigating the use of Deep Convective Clouds (DCCs) to monitor on-orbit performance of the Geostationary Lightning Mapper (GLM) using Lightning Imaging.
EG2234: Earth Observation Interactions - Land Dr Mark Cresswell.
Remote sensing for surface water hydrology RS applications for assessment of hydrometeorological states and fluxes –Soil moisture, snow cover, snow water.
The Atmosphere: Energy Transfer & Properties Weather Unit Science 10.
Weather Review. Air Masses Air Mass – A large body of air through which temperature and moisture are the same. Types 1. Continental – formed over land.
Prediction of Tropical Cyclones Chapter 9. Tropical weather data from traditional sources (surface and radiosonde) is scarce, so remote sensing via other.
Dynamics of Climate Variability & Climate Change Dynamics of Climate Variability & Climate Change EESC W4400x Fall 2006 Instructors: Lisa Goddard, Mark.
EG1106 geographic information: a primer Introduction to remote sensing 24 th November 2004.
How Do Forests, Agriculture and Residential Neighborhoods Interact with Climate? Andrew Ouimette, Lucie Lepine, Mary Martin, Scott Ollinger Earth Systems.
Introduction to NASA Water Products NASA Remote Sensing Training Norman, Oklahoma June 19-20, 2012 ARSET Applied Remote SEnsing Training A project of NASA.
EG5503: GIS & Earth Observation Introduction to RS Dr Mark Cresswell.
METEOROLOGICAL DATA COLLECTION NETWORK OF IMD. Meteorological instrument Observer Meteorological Observation (In situ & Remote sensing)
Asia Flood Network— A USAID Program for Flood Mitigation and Preparedness in Asia Asia Flood Network Program Objective –Identify and fill gaps in end-to-end.
Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.
An Overview of Satellite Rainfall Estimation for Flash Flood Monitoring Timothy Love NOAA Climate Prediction Center with USAID- FEWS-NET, MFEWS, AFN Presented.
NOAA Environmental Technology Laboratory Gary A. Wick Observed Differences Between Infrared and Microwave Products Detailed comparisons between infrared.
Interactions: atmosphere EG2234 Earth Observation.
How Convection Currents Affect Weather and Climate.
Copernicus services 1 6 services use Earth Observation data to deliver … Sentinels Contributing missions in-situ …added-value products.
1. Session Goals 2 __________________________________________ FAMINE EARLY WARNING SYSTEMS NETWORK Understand use of the terms climatology and variability.
Passive Microwave Remote Sensing
CARPE DIEM Meeting Barcelona June 2002 RAINCLOUDS Satellite rain and cloud probing for monitoring and forecasting water resources at a range of time.
Guided Notes for Climate
Lecture on Weather Satellite
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
EG2234 Earth Observation Weather Forecasting.
Atmosphere & Weather Review
Essential Questions Why is accurate weather data important?
UNIT 4: CLIMATE CHANGE.
Application of GI to weather forecasting
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
Predicting the Weather
The Atmosphere The atmosphere is the gaseous layer around the Earth Without this layer life on earth would not be possible. The atmosphere was formed approximately.
Weather and Climate.
Satellite Foundational Course for JPSS (SatFC-J)
Section 3: Gathering Weather Data
UNIT 4: CLIMATE CHANGE.
Predicting the Weather
Predicting the Weather
CHAPTER 3 LESSON 2 SYSTEM INTERACTIONS.
CLIMATE CHANGE.
Presentation transcript:

EG2234 Earth Observation Applications of Remote sensing

TOPICS Quantitative remote sensing Rainfall estimation Land surface temperature Proxy air temperature NDVI, albedo, wind-speed and others 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

Land Surface Temperature Thermal infrared images provide an estimate of the magnitude of radiant energy Radiance (usually expressed as watts per square metre) can be converted to temperature via an instrument-specific algorithm Energy (and hence temperature) is of the land surface (LST) LST may be converted to a proxy air temperature by means of a solar correction algorithm

Other quantitative measurements NDVI Albedo Wind speed Potential Evapotranspiration (PET) Soil moisture Tropospheric humidity

NDVI Monitoring Habitat modelling Hydrology

VISIBLE Albedo Weather Fcst.

WATER VAPOUR Cloud motion Troposphere

Disaster Management Uses of RS for Disaster Management WildfiresVolcanic eruptions AvalancheTsunami EarthquakeLandslides FloodingExtreme weather DroughtDisease RefugeesMilitary

Disaster Management PLANNINGMITIGATION Modelling Assessment Prediction Contingency Monitoring situations Deployment of resources Decision-making Public relations COST EFFECTIVENESS !!!

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

Hydrodynamics stream river 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), Lethbridge M. (1967). Precipitation probability and satellite radiation data. Monthly Weather Review, Vol 95 (7), 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,

Further Reading TRMM Website: SSM/I Website: TAMSAT (CCD Rainfall) Website:

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2025 SlidePlayer.com. Inc. All rights reserved.