Class Project for Ian Mullet

Slides:

Advertisements

Similar presentations

DEPARTMENT OF LAND INFORMATION – SATELLITE REMOTE SENSING SERVICES CRCSI AC Workshop November 2005 Remote Sensing in Near-Real Time of Atmospheric.

Advertisements

Future Directions and Initiatives in the Use of Remote Sensing for Water Quality.

GOFC/GOLD - Fire Requirements for Fire Observations.

1 1. FY09 GOES-R3 Project Proposal Title Page Title: Trace Gas and Aerosol Emissions from GOES-R ABI Project Type: GOES-R algorithm development project.

Satellite based estimates of surface visibility for state haze rule implementation planning Air Quality Applied Sciences Team 6th Semi-Annual Meeting (Jan.

Remote Sensing of Evapotranspiration

Toward Near Real Time Forest Fire Monitoring in Thailand Honda Kiyoshi and Veerachai Tanpipat Space Technology Applications and Research, School of Advanced.

Nairobi, 25 th /Oct. – 18 Dec 2010AMESD eStation users’ training. AMESD eStation users’ training N 09. Fires from RS and products Marco Clerici, JRC/IES/GEM.

THE OBSERVATIONS FROM SATELLITES TO HELP IN THE STRUGGLE AGAINST FIRES. Romo, A., Casanova, J.L., Calle, A., and Sanz, J. LATUV - Remote Sensing Laboratory.

Application of Satellite Data to Fire & Aerosol Monitoring at the NOAA's Satellite and Information Service by Donna McNamara 1, George Stephens 1, Shobha.

ASTER image – one of the fastest changing places in the U.S. Where??

INTEGRATION OF MEASURED, MODELLED & REMOTELY SENSED AIR QUALITY DATA & IMPACTS ON THE SOUTH AFRICAN HIGHVELD Kubeshnie Bhugwandin - October 2007.

Remote Sensing of Pollution in China Dan Yu December 10 th 2009.

Presented By Abhishek Kumar Maurya

1 Sean Raffuse, Dana Sullivan, Lyle Chinkin, Daniel Pryden, and Neil Wheeler Sonoma Technology, Inc. Petaluma, CA Sim Larkin and Robert Solomon U.S. Forest.

Infusing satellite Data into Environmental Applications (IDEA): PM2.5 forecasting tool hosted at NOAA NESDIS using NASA MODIS (Moderate Resolution Imaging.

Infusing satellite Data into Environmental Applications (IDEA): R. Bradley Pierce NOAA/NESDIS/STAR PM2.5 forecasting tool hosted at NOAA NESDIS using NASA.

Fire Products Training Workshop in Partnership with BAAQMD Santa Clara, CA September 10 – 12, 2013 Applied Remote SEnsing Training (ARSET) – Air Quality.

DROUGHT MONITORING THROUGH THE USE OF MODIS SATELLITE Amy Anderson, Curt Johnson, Dave Prevedel, & Russ Reading.

Visible Satellite Imagery Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied Sciences Week –

An Improved Algorithm of Wildfire Detection and a Method of Wildfire Observation for Validation Koji Nakau Ph.D (JAXA/EORC) Masami Fukuda Ph.D (Fukuyama.

HyspIRI Airborne Preparatory Mission Large Area Mapping In California Benefits to Remote Sensing of the Delta

Use of Remote Sensing Data for Delineation of Wildland Fire Effects

Satellite Imagery and Remote Sensing NC Climate Fellows June 2012 DeeDee Whitaker SW Guilford High Earth/Environmental Science & Chemistry.

MODIS: Moderate-resolution Imaging Spectroradiometer National-Scale Remote Sensing Imagery for Natural Resource Applications Mark Finco Remote Sensing.

Developing a High Spatial Resolution Aerosol Optical Depth Product Using MODIS Data to Evaluate Aerosol During Large Wildfire Events STI-5701 Jennifer.

Estimates of Biomass Burning Particulate Matter (PM2.5) Emissions from the GOES Imager Xiaoyang Zhang 1,2, Shobha Kondragunta 1, Chris Schmidt 3 1 NOAA/NESDIS/Center.

Sentinel: Dynamic Fire Location Mapping. Near- Real Time Emergency Mapping Environmental Remote Sensing Group CSIRO Land and Water Defence Imagery & Geospatial.

MODIS-Based Techniques for Assessing of Fire Location and Timing in the Alaskan Boreal Forest Nancy H.F. French 1, Lucas Spaete 1, Elizabeth Hoy 2, Amber.

Christine Urbanowicz Prepared for NC Climate Fellows Workshop June 21, 2011.

1 AOD to PM2.5 to AQC – An excel sheet exercise ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan Gupta Salt.

Options for access to multi- source fire data John Owens Department of Geography University of Maryland.

Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry

ORNL DAAC MODIS Subsetting and Visualization tools Tools and services to access subsets of MODIS data Suresh K. Santhana Vannan National Aeronautics and.

DEVELOPING HIGH RESOLUTION AOD IMAGING COMPATIBLE WITH WEATHER FORECAST MODEL OUTPUTS FOR PM2.5 ESTIMATION Daniel Vidal, Lina Cordero, Dr. Barry Gross.

EG2234: Earth Observation Interactions - Land Dr Mark Cresswell.

The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 Rapid Prototyping of NASA Next Generation Sensors for the SERVIR System.

Assessing the Phenological Suitability of Global Landsat Data Sets for Forest Change Analysis The Global Land Cover Facility What does.

Observing Laramie Basin Grassland Phenology Using MODIS Josh Reynolds with PROPOSED RESEARCH PROJECT Acknowledgments Steven Prager, Dept. of Geography.

Progress of operational processing chain for sea ice albedo and melt pond fraction L. Istomina, G. Heygster.

Ecosystem dynamics: disturbance and Recovery in the Cape Floristic Region of South Africa Wilson AM, May , FIGSHARE, VALE Climate & Energy Inst.

Chapter 10.  Data collection workflow  Primary geographic data capture  Secondary geographic data capture  Obtaining data from external sources 

Uncertainties in Wildfire Emission Estimates Workshop on Regional Emissions & Air Quality Modeling July 30, 2008 Shawn Urbanski, Wei Min Hao, Bryce Nordgren.

Drought Effects on Forests and Forest Fires 1.What current remote sensing approaches are available to estimate the effects of drought and fire of forest.

SeaWiFS Highlights July 2001 SeaWiFS Views Eruption of Mt. Etna On July 24, 2001, SeaWiFS viewed a greenish-orange plume resulting from the ongoing eruption.

USDA Forest Service, Remote Sensing Applications Center, FSWeb: WWW: National Geospatial Fire.

Fire Products NASA ARSET-AQ Links Updated November 2013 ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences.

Earth Observation Data as Public Goods: INPE’s experience Leila Fonseca National Institute for Space Research Brazil.

Eun-Su Yang and Sundar A. Christopher Earth System Science Center University of Alabama in Huntsville Shobha Kondragunta NOAA/NESDIS Improving Air Quality.

TARGET FINDING WITH SAM AND BANDMAX Course: Special Topics in Remote Sensing & GIS Mirza Muhammad Waqar Contact:

Temporal Classification and Change Detection

Yang Liu, PhD HAQAST1 November 3-4, 2016 Emory University, Atlanta

VEGA-GEOGLAM Web-based GIS for crop monitoring and decision support in agriculture Evgeniya Elkina, Russian Space Research Institute The GEO-XIII Plenary.

Tae Young Kim and Myung jin Choi

Use of Satellite Data for Georgia’s Air Quality Planning Activities Tao Zeng and James Boylan Georgia EPD – Air Protection Branch TEMPO Applications.

Dust detection methods applied to MODIS and VIIRS

Hyperspectral Sensing – Imaging Spectroscopy

Mapping wheat growth in dryland fields in SE Wyoming using Landsat images Matthew Thoman.

Junsoo Kim, Hyangsun Han and Hoonyol Lee

ASTER image – one of the fastest changing places in the U.S. Where??

1st HAQAST Stakeholder Meeting

Digital Numbers The Remote Sensing world calls cell values are also called a digital number or DN. In most of the imagery we work with the DN represents.

Introductory Digital Image Processing

Zhang Hailong, Xin Xiaozhou, Liu Qinhuo

Joint Remote Sensing Research Program 2016 Research Updates

Geography 121 Lab #4 Finding Landsat Data

Automatic processing to restore data of

Planning a Remote Sensing Project

Likun Wang Univ. of Maryland, College Park, MD;

Exploring the Relationship Between Permafrost Degradation and Remotely Sensed Snow Seasonality in the North Slope of Alaska Ksenia Lepikhina and Jeffery.

Presentation transcript:

Class Project for Ian Mullet A MODIS Proposal Class Project for Ian Mullet

Cataloguing Wildfires Wildfires affect air quality They should be included as inputs in air quality models

Wildfire Database An extensive wildfire database has been created by students in Dr. David Allen’s research group But… The information comes from diverse sources with differing specifics Can MODIS help?

MODIS Moderate Resolution Infrared Spectroradiometer Placed on three satellites Data obtained in 36 spectral bands

Fire Mask NASA developed algorithm Delivered in an Excel file from CSR Data included: -Wattage -Lat and Long -Date and Time

Fires from MODIS listed by day

Map of Manual Database

Goal of Project To compare the two datasets in hopes of reconciling the two. To determine usefulness of MODIS in cataloguing wildfires.

How can remote sensing be used to improve a wildfire inventory? The location of the fire can be corrected by using more accurate coordinates generated by MODIS. The wattage value can serve as a burning rate for multi-day fires.

Challenges and Questions What is the size threshold for MODIS to detect a fire? Can the wattage values be used to estimate fire size? Each database will provide insight into the other!