Summary Probability of a cloud free image no more than 16 and 32 days apart during the growing season Still using a fixed growing season April 1st to Oct.

Slides:

Advertisements

Similar presentations

LISA and TIM Keith T. Weber, GISP Idaho State University.

Advertisements

Slide: 1 3 rd WGCapD Meeting – Derhadum, India – April The CEOS Systems Engineering Office Tools & Applications Presented by: Kim Keith.

Predicting and mapping biomass using remote sensing and GIS techniques; a case of sugarcane in Mumias Kenya Odhiambo J.O, Wayumba G, Inima A, Omuto C.T,

Collection 6 MODIS Fire Products

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.

Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Physics/Electrical Engineering Department 1 Institute.

Data Quality Screening Service Christopher Lynnes, Bruce Vollmer, Richard Strub, Thomas Hearty Goddard Earth Sciences Data and Information Sciences Center.

Has EO found its customers? Global Vegetation Monitoring Unit Mapping of arid regions in N. Africa, middle East and Southeast Asia using VGT S10 Michael.

Exploring the similarities and differences between MODIS, PATMOS and ISCCP Amato Evan, Andrew Heidinger & Michael Pavolonis Collaborators: Brent Maddux,

S. N. Goward, D. L. Williams and E. Denning Landsat Science Team Meeting Sioux Falls, SD August 16-18, 2011.

Red: Flooding, during a 10-day accumulation of MODIS imaging, ending on date shown. Light Red: Previously flooded this year, now dry. Light Blue: Flooded.

Weather Observation What is the weather in different places?

Using Satellite Imagery for Variable Rate Maps Curtis Dick.

Cooperative Institute for Meteorological Satellite Studies University of Wisconsin - Madison Steve Ackerman Director, Cooperative Institute for Meteorological.

Use of Remote Sensing Data for Delineation of Wildland Fire Effects

CHANGES IN VEGETATION RELATED TO BEAR RANGES BY: AURORA HAGAN, JAIME NIELSEN, KRISTA TRENDA.

Data Searching and Downloading. 2 EarthExplorer (EE) Step 1: Registration

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.

SDCG-5 ESA/ESRIN, Frascati, Italy February 24-26, 2014 SDCG-5 Session 2 Landsat 7/8 status and 2013 Implementation.

Filling in the gaps in Landsat 7 data Northwest GIS Users Group Conference Boise, Idaho, October 19 – 21, 2011 William J. Kramber Idaho Department of Water.

Images for our Map Toolkit

1 Pecora 18 Forty Years of Earth Observations… Understanding a Changing World November 16, 2011 (A little dated, but still relevant) Presented By: Eugene.

Scenes of the Earth: Slide Show Assessment Activity.

LANDSAT Program Update

 Introduction  Surface Albedo  Albedo on different surfaces  Seasonal change in albedo  Aerosol radiative forcing  Spectrometer (measure the surface.

VENUS AND JUPITER March 3 – April 3, MARCH 3RD.

ClimateEngine.org CLOUD COMPUTING AND VISUALIZATION OF CLIMATE AND REMOTE SENSING DATA ClimateEngine.org team, Desert Research Institute / University of.

National Geospatial Advisory Committee Meeting April 1-2, 2014 Tim Newman Program Coordinator Land Remote Sensing Program U.S. Geological Survey Landsat.

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

Reference Data Standard Protocols Kamini Yadav Dr. Russ Congalton.

Long-term drought assessment of Northern Central African continent using Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST)

Cloud Mask: Results, Frequency, Bit Mapping, and Validation UW Cloud Mask Working Group.

Kussul Nataliia, Shelestov Andrii, Skakun Sergii Space Research Institute of NAS of Ukraine and SSA of Ukraine Kyiv National University of Environmental.

METR 415/715 Monday March Outgoing Longwave Radiation at top of atmosphere Broadband IR radiation The PSD Map Room The utility and limitations.

CM-SAF Board Meeting, Helsinki, September 2006 CM-SAF TOA radiation status report D. Caprion Royal Meteorological Institute of Belgium.

CAPITA Center for Air Pollution Impact and Trend Analysis.

Data Processing Flow Chart Start NDVI, EVI2 are calculated and Rank SDS are incorporated Integrity Data Check: Is the data correct? Data: Download a) AVHRR.

Armando DATA FILTERING PLAN v2 Tucson, AZ 6/30/11.

VENUS AND JUPITER March 3 – April 7, MARCH 3RD.

Evidence in ISCCP for regional patterns of cloud response to climate change Joel Norris Scripps Institution of Oceanography ISCCP at 30 Workshop City College.

Space-Time Series of MODIS Snow Cover Products

MODIS, AIRS, and Midlevel Cloud Phase Shaima Nasiri CIMSS/SSEC, UW-Madison Brian Kahn Jet Propulsion Laboratory MURI Hyperspectral Workshop 7-9 June, 2005.

By Jeremy R. Smith University of North Dakota April 30, 2012.

Shaima Nasiri University of Wisconsin-Madison Bryan Baum NASA - Langley Research Center Detection of Overlapping Clouds with MODIS: TX-2002 MODIS Atmospheres.

Weather Tools for Rangeland Restoration and Rehabilitation in Western USA Katherine Hegewisch 1, Britta Daudert 2, Charles Morton 2, Donovan VanSant 1,

Satellite Image Pixel Size vs Mapping Scale

Quantifying Analyst Bias in Mapping Flooded Areas from Landsat Images

Temporal Classification and Change Detection

Satellite Image Pixel Size vs Mapping Scale

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

Space Data Services Session 2: Space Data Country Outreach and Delivery Agenda Item #3 Brian Killough CEOS Systems Engineering Office (SEO) February 25,

VIPLab QA Data Filtering Process

XRT CCD Spot Detection after 13th bakeout

VIIRS Cloud Mask Validation Exercises

Online Gifts Buy for wishes happy mother's day to yours choice and with happy gifts find here:

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.

Satellite Sensors – Historical Perspectives

Space data for forest monitoring in Taiwan

COVE Tool Updates Joint SDCG/GEOGLAM/LSI-VC Meeting September 6, 2018

Hyangsun Han and Hoonyol Lee

NASA alert as Russian and US satellites crash in space

The Outer Planets Chapter 13.

MRV & Reporting Status & Related Space Data Needs

SEO Report to WGISS Brian Killough CEOS Systems Engineering Office (SEO) WGISS-46 Meeting October 22, 2018.

Class Project for Ian Mullet

VENUS AND JUPITER.

The Image The pixels in the image The mask The resulting image 255 X

Celebrating 10 years of operations and science

Presentation transcript:

Maps of the probability of a cloud free Landsat scene during the growing season

Summary Probability of a cloud free image no more than 16 and 32 days apart during the growing season Still using a fixed growing season April 1st to Oct 31st Using MODIS MOD09GA State QA product to determine cloud free pixels 2000-2011 (12 years/growing seasons) Assumed cloud if cloud state was cloudy or mixed, cloud shadow flag was set, or cirrus detected state was small, average, or high Landsat revisits same spot every 16 days Maps are an average of the separate probabilities from each of the 16 possible return cycle dates

Production of Images The following images were produced by Charles Morton of the Desert Research Institute in collaboration with Dr. Justin Huntington of DRI and Richard Allen of the University of Idaho

1 Satellite Cloud free at least every 16 days

2 Satellites Cloud free at least every 16 days

3 Satellites Cloud free at least every 16 days

4 Satellites Cloud free at least every 16 days

8 Satellites Cloud free at least every 16 days

16 Satellites Cloud free at least every 16 days

1 Satellite Cloud free at least every 32 days

2 Satellites Cloud free at least every 32 days

3 Satellites Cloud free at least every 32 days

4 Satellites Cloud free at least every 32 days

8 Satellites Cloud free at least every 32 days

16 Satellites Cloud free at least every 32 days