U.S. Department of the Interior U.S. Geological Survey Mega-File Data Cube (MFDC) Concept and Preparation Jun Xiong, Prasad, Pardha Nov 21th, 2013, Flagstaff.

Slides:



Advertisements
Similar presentations
SNPP VIIRS green vegetation fraction products and application in numerical weather prediction Zhangyan Jiang 1,2, Weizhong Zheng 3,4, Junchang Ju 1,2,
Advertisements

A Land Cover Map of Eurasia’s Boreal Ecosystems S. BARTALEV, A. S. BELWARD Institute for Environment and Sustainability, EC Joint Research Centre, Italy.
U.S. Department of the Interior U.S. Geological Survey USGS/EROS Data Center Global Land Cover Project – Experiences and Research Interests GLC2000-JRC.
Scaling Biomass Measurements for Examining MODIS Derived Vegetation Products Matthew C. Reeves and Maosheng Zhao Numerical Terradynamic Simulation Group.
Xiangming Xiao Department of Botany and Microbiology, College of Arts and Sciences Center for Spatial Analysis, College of Atmospheric.
Riparian forest loss and landscape-scale change in Sudanian West Africa Jeremy I. Fisher John F. Mustard Geological Sciences Brown University August, 2004.
U.S. Department of the Interior U.S. Geological Survey SRTM Level-2, ASTER GDEM Quality comparison Wm Matthew Cushing 18 February 2011, Sao Paulo Brazil.
Crop Area estimation in Morocco
Resolution.
Kenya Data Cube Project Plans
Multispectral Remote Sensing Systems
Green Vegetation Fraction (GVF) derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor onboard the SNPP satellite Zhangyan Jiang 1,2,
Vegetation Change in North Africa through the analysis of satellite data, Professor Stephen Young Department of Geography, Salem State College.
Geosynchronous Orbit A satellite in geosynchronous orbit circles the earth once each day. The time it takes for a satellite to orbit the earth is called.
1 Space Applications Institute Joint Research Centre European Commission Ispra (VA), Italy Global Vegetation Monitoring.
The Seven Continents of Earth By Picture of Continents.
U.S. Geological Survey U.S. Department of Interior GFSAD30m Global Cropland Extent Products of Nominal 250 m (GCE V2.0) Updates Pardhasaradhi.
Interannual Deforestation Dynamics in Southern Madagascar Humid Forests 2000 to 2005 Jan Dempewolf (1), Ruth DeFries (1), Sandy Andelman (2), Rasolohery.
U.S. Geological Survey U.S. Department of Interior GFSAD30m Global Cropland Extent Products of Nominal 250 m (GCE V2.0) Updates Pardhasaradhi.
Segmenting multi bands images by color and texture Eldman O. Nunes - Aura Conci IC - UFF.
OC3522Summer 2001 OC Remote Sensing of the Atmosphere and Ocean - Summer 2001 Land/Ice Surface & Applications.
Vegetation Continuous Fields and the new Land Water Mask Mark Carroll John Townshend Rob Sohlberg Charlene DiMiceli Department of Geography University.
Eric Rafn and Bill Kramber Idaho Department of Water Resources
Global land cover mapping from MODIS: algorithms and early results M.A. Friedl a,*, D.K. McIver a, J.C.F. Hodges a, X.Y. Zhang a, D. Muchoney b, A.H. Strahler.
U.S. Department of the Interior U.S. Geological Survey Assessment of Conifer Health in Grand County, Colorado using Remotely Sensed Imagery Chris Cole.
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.
Assessment of Regional Vegetation Productivity: Using NDVI Temporal Profile Metrics Background NOAA satellite AVHRR data archive NDVI temporal profile.
GTOPO30 Global 30-arc-second (1-km) elevation model - “Best available” global DEM - Initial release: March Widely used for climate modeling, land.
Resolution Resolution. Landsat ETM+ image Learning Objectives Be able to name and define the four types of data resolution. Be able to calculate the.
Winter precipitation and snow water equivalent estimation and reconstruction for the Salt-Verde-Tonto River Basin for the Salt-Verde-Tonto River Basin.
Pardhasaradhi Teluguntla, Jun Xiong, and Prasad Thenkabail Global Cropland Extent Version 1.0 (GCE V1.0) January 16-17, 2014 third Workshop on Global Food.
Current Conditions in Northern Hemisphere Crop NDVI Anomaly, August 13th, Worse than normal normal Better than normal Crop NDVI Anomaly.
Europe Political Map #1. Europe Physical Map #2 Russian Political Map #3.
U.S. Department of the Interior U.S. Geological Survey Topographic Data Update IGOL: Rome September 13-15, 2004 Doug Muchoney USGS.
Using satellite observations to measure the direct climate impacts of oil palm expansion in Indonesia Natalie Schultz Heat budget group meeting June 13,
U.S. Department of the Interior U.S. Geological Survey GFSAD30 Field Work Planning: Progress in Australia Pardha, Prasad, and Jun GFSAD30 monthly meeting,
Meeting of the CCl/OPACE2 Task Team on National Climate Monitoring Products How might NCMPs contribute in future IPCC reports ? Fatima Driouech TT on national.
North American Croplands Teki Sankey and Richard Massey Northern Arizona University Flagstaff, AZ.
U.S. Department of the Interior U.S. Geological Survey GFSAD30 Monthly Meeting Status Review Prasad GFSAD30 monthly meeting, August 21 st, 2014, Webex\Telecon.
U.S. Department of the Interior U.S. Geological Survey Monthly Progress for Africa GCEV2 Jun Xiong, Prasad, Pardha 25 September, 2014.
Dec 15, 2004 AGUMolly E. Brown, PhD1 Inter-Sensor Validation of NDVI time series from AVHRR, SPOT-Vegetation, SeaWIFS, MODIS, and LandSAT ETM+ Molly E.
Understanding Glacier Characteristics in Rocky Mountains Using Remote Sensing Yang Qing.
A 30-m approach to cropland extent Cristina Milesi Fourth Workshop On Global Food Security-Support Analysis 30 m (GFSAD30) 6/25/14.
U.S. Department of the Interior U.S. Geological Survey GFSAD30 Monthly Meeting Status Review Prasad GFSAD30 monthly meeting, September 25 th, 2014, Webex\Telecon.
U.S. Department of the Interior U.S. Geological Survey Entering A New Landsat Era – The Future is Now Tom Loveland U.S. Geological Survey Earth Resources.
Remotely sensed land cover heterogeneity
U.S. Department of the Interior U.S. Geological Survey Afghanistan Natural Resource Assessment and Reconstruction Project Geospatial Infrastructure Development:
Long-term drought assessment of Northern Central African continent using Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST)
U.S. Department of the Interior U.S. Geological Survey GFSAD30 Field Work Planning: Progress in Australia Pardha, Prasad, and Jun GFSAD30 monthly meeting,
U.S. Department of the Interior U.S. Geological Survey Monthly Progress for Africa GCEV2 Jun Xiong, Prasad, Pardha 23 October, 2014.
U.S. Geological Survey U.S. Department of Interior GFSAD 30 Cropland Products of Nominal 250 m Using MODIS Data and Cropland Mapping Algorithms:
U.S. Department of the Interior U.S. Geological Survey GFSAD30 Monthly Meeting Project Updates and Action items Prasad GFSAD30 monthly meeting, Feb. 19,
Start on Europe. Walk to Africa. What direction did you walk? Start on Antarctica. Walk to Australia. What direction did you walk? Start on Asia. Walk.
Europe Political Map #1. Europe Physical Map #2 Russian Political Map #3.
U.S. Geological Survey U.S. Department of Interior GFSAD30m Global Cropland Extent Products of Nominal 250 m (GCE V2.0) Area claculations Pardhasaradhi.
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.
Geosynchronous Orbit A satellite in geosynchronous orbit circles the earth once each day. The time it takes for a satellite to orbit the earth is called.
U.S. Geological Survey U.S. Department of Interior GFSAD30m Global Cropland Extent Products of Nominal 250 m (GCE V2.0) Updates Pardha Teluguntla.
Lecture Notes – Vegetation indices Fred Watson, ENVS 436/536, CSUMB, Fall 2010 Many of these slides are from Jianglong Zhang and Cindy Schmidt.
U.S. Department of the Interior U.S. Geological Survey Chandra Giri Ying Zhong 7/15/2015 Cropland Extent Mapping in South America.
U.S. Department of the Interior U.S. Geological Survey Afghanistan Natural Resource Assessment and Reconstruction Project Geospatial Infrastructure Development:
I. Requirements  You are to choose a continent to present to the rest of your group. You will do research on the continent you choose, create a visual.
U.S. Geological Survey U.S. Department of Interior Automated Cropland Mapping Algorithms (ACMA) for Global Food Security Assessment Across Years Pardhasaradhi.
Using vegetation indices (NDVI) to study vegetation
PROBA scenes acquired over our study sites
Environmental data Landscape genomics
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.
NASA alert as Russian and US satellites crash in space
Planning a Remote Sensing Project
HOW THE WORLD WORKS Part 1 Activity 3 Taking a second look
Presentation transcript:

U.S. Department of the Interior U.S. Geological Survey Mega-File Data Cube (MFDC) Concept and Preparation Jun Xiong, Prasad, Pardha Nov 21th, 2013, Flagstaff

Landsat GLS 2000 data 30 m, one time for nominal year 2000 MODIS NDVI data 250 m, monthly maximum value composite (MVC) for nominal year 2000 (taken from year ) MODIS B1 and B2 data 250 m, monthly band 1 (red) and band 2 (NIR) for nominal year 2000 (taken from year ) Secondary Data Elevation (GDEM, 30 m), precipitation 40 yr average (CRU, 50 km), AVHRR skin temperature (10 km), potential ET based on 100 yr climate data (100 km) Mega-File Data Cube (MFDC) of the World Baseline Data Infrastructure Composed as Single MFDC U.S. Geological Survey U.S. Department of Interior

U.S. Department of the Interior U.S. Geological Survey Mega-File Data Cube (MFDC) Global Landsat GLS 2000

Region NameSensorScenesFormatSingle-BandTotal Size AfricaETM891Erdas img (ige)144 GB720 GB AsiaETM1651Erdas img (ige)366 GB1830 GB AustraliaETM224Erdas img (ige)39 GB195 GB EuropeETM640Erdas img (ige)67 GB335 GB Middle-eastETM193Erdas img (ige)37 GB185 GB North-AmericaETM900Erdas img (ige)133 GB665 GB South-AmericaETM709Erdas img (ige)79 GB395 GB *Data Access through ftp (either from USGS or NEX). Please contact Jun Xiong For data and any feedbacks are welcome !Jun Xiong Landsat GLS 2000 Data of the World Number of Images and Data Volumes for the 7 Regions of the World U.S. Geological Survey U.S. Department of Interior

SensorData SetsUnitsScale factor Data Type Fill Value Valid Range TM/ETM+ Band3 REDTOA reflectance (-)0.001int Band 4 NIRTOA reflectance (-)0.001int Band 5 MIRTOA reflectance (-)0.001int Band 6 THM*Radiometric temperature (K)0.1int ALL NDVI**Normalized Difference Vegetation Index 0.001int Note: * Radiometric temperature (THM) band will be released soon because of insufficient disk space. ** NDVI band is not ready yet for the same reason. Hopeful every group can do it yourself using Band 4 and Band 3. Landsat GLS 2000 Data of the World Spectral Bands and Derived data Considered and their Characteristics U.S. Geological Survey U.S. Department of Interior

Landsat GLS 2000 Data of Asia 1651 Scene Mosaic of Africa Depicted as False Color Composite (FCC) 1. Mosaic of 1651 Landsat ETM+ images 2. Depicted in FCC: 4,3,5 (RGB) 3. Missing images are areas where there is absolutely no croplands 4. Projection: Geographic 5. Datum: WGS84 U.S. Geological Survey U.S. Department of Interior

Figure: GLS-2000 Mosaic of the NIR-R-MIR (4,3,5) bands combination in Africa (Map projection: Geographic) 891 scenes ETM Landsat GLS 2000 Data of Africa 891 Scene Mosaic of Africa Depicted as False Color Composite (FCC) 1. Mosaic of 891 Landsat ETM+ images 2. Depicted in FCC: 4,3,5 (RGB) 3. Missing images are areas where there is absolutely no croplands 4. Projection: Geographic 5. Datum: WGS84 U.S. Geological Survey U.S. Department of Interior

Landsat GLS 2000 Data of South America 809 Scene Mosaic of Africa Depicted as False Color Composite (FCC) 1. Mosaic of 809 Landsat ETM+ images 2. Depicted in FCC: 4,3,5 (RGB) 3. Missing images are areas where there is absolutely no croplands 4. Projection: Geographic 5. Datum: WGS84 Figure: GLS-2000 Mosaic of the NIR-R-MIR (4,3,5) bands combination in South America (Map projection: Geographic) 809 scene ETM U.S. Geological Survey U.S. Department of Interior

Landsat GLS 2000 Data of USA 900 Scene Mosaic of Africa Depicted as False Color Composite (FCC) 1. Mosaic of 900 Landsat ETM+ images 2. Depicted in FCC: 4,3,5 (RGB) 3. Missing images are areas where there is absolutely no croplands 4. Projection: Geographic 5. Datum: WGS84 Figure: GLS-2000 Mosaic of the NIR-R-MIR (4,3,5) bands combination in North America (Map projection: Geographic) 900 scenes ETM U.S. Geological Survey U.S. Department of Interior

Landsat GLS 2000 Data of Europe 640 Scene Mosaic of Africa Depicted as False Color Composite (FCC) 1. Mosaic of 640 Landsat ETM+ images 2. Depicted in FCC: 4,3,5 (RGB) 3. Missing images are areas where there is absolutely no croplands 4. Projection: Geographic 5. Datum: WGS84 Figure: GLS-2000 Mosaic of the NIR-R-MIR (4,3,5) bands combination Europe (Map projection: Geographic) 640 scense ETM U.S. Geological Survey U.S. Department of Interior

Landsat GLS 2000 Data of Australia 224 Scene Mosaic of Africa Depicted as False Color Composite (FCC) 1. Mosaic of 224 Landsat ETM+ images 2. Depicted in FCC: 4,3,5 (RGB) 3. Missing images are areas where there is absolutely no croplands 4. Projection: Geographic 5. Datum: WGS84 Figure: GLS-2000 Mosaic of the NIR-R-MIR (4,3,5) bands combination Australia (Map projection: Geographic) 224 scenes ETM U.S. Geological Survey U.S. Department of Interior

Landsat GLS 2000 Data of Middle East 193 Scene Mosaic of Africa Depicted as False Color Composite (FCC) 1. Mosaic of 193 Landsat ETM+ images 2. Depicted in FCC: 4,3,5 (RGB) 3. Missing images are areas where there is absolutely no croplands 4. Projection: Geographic 5. Datum: WGS84 Figure: GLS-2000 Mosaic of the NIR-R-MIR (4,3,5) bands combination in Middle East (Map projection: Geographic) Figure: GLS-2000 Mosaic of the NIR-R-MIR (4,3,5) bands combination Middle East (Map projection: Geographic) 193 scenes ETM U.S. Geological Survey U.S. Department of Interior

U.S. Department of the Interior U.S. Geological Survey Mega-File Data Cube (MFDC) Global MODIS 2000 ( )

U.S. Department of the Interior U.S. Geological Survey Mega-File Data Cube (MFDC) MFDC Composition

MODIS: 36 bands Band 1 to band 12: MODIS b1 (red) minimum value composite (MVC); 1 band per month Band 13 to band 24: MODIS b2 (NIR) maximum value composite (MVC); 1 band per month Band 25 to band 36: MODIS NDVI maximum value composite (MVC); 1 band per month Skin Temperature: 12 bands Band 37 to band 48: AVHRR Skin Temperature (in degree kelvin); 1 band per month (based on 20 yer. Average) DEM: 1 band ● Band 49: ASTER DEM project (resolution: 30m) or GDEM project (resolution: 1km); 1 band Tree Cover (forest cover > 75%; FGT75): 1 band ● Band 50: Tree Cover > 75% (resolution: 8km); 1 band Precipitation: 1 band Band 51: 40-year-annual-mean (CRU) precipitation (resolution: 8km); 1 band Potential Evapotranspiration (PET): 1 band Band 52: 40-year-mean from CRU (resolution: 8km); 1 band Mega-File Data Cube (MFDC) of the World 52-band, nominal 250 m MFDC of the World U.S. Geological Survey U.S. Department of Interior

shows some images of the MFDC to give people an impression how the data looks like (in preparation) Example of MODIS-250m Mega Cube for Africa, 2000 Mega-File Data Cube (MFDC) of the Africa 52-band, nominal 250 m MFDC of the World U.S. Geological Survey U.S. Department of Interior

U.S. Department of the Interior U.S. Geological Survey Mega-File Data Cube (MFDC) MFDC Data Access

1. The MFDC is harmonized, standardized, moasaced and stored in USGS GFSAD30 drive. 2. Access to this data for other team members is currently worked out. 3. Contact: Jun XiongJun Xiong data use: only for GFSAD30 team members only. Strictly NOT to be shared. Mega-File Data Cube (MFDC): Data Access ftp://ftpext.usgs.gov/pub/wr/az/flagstaff/jxiong U.S. Geological Survey U.S. Department of Interior

U.S. Department of the Interior U.S. Geological Survey Mega-File Data Cube (MFDC) MFDC Documentation

Mega-File Data Cube (MFDC): Documentation Currently in Preparation; Will be Released to Team Members U.S. Geological Survey U.S. Department of Interior

U.S. Department of the Interior U.S. Geological Survey Mega-File Data Cube (MFDC) MFDC Contact

Comments? Contact meContact me