land discipline report back chris justice
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Land Discipline Report Back Chris Justice. Current Issues and Priorities. Broadening MODLAND in the framework of the focus area measurement teams and land data processing following the Ocean Color Model - PowerPoint PPT PresentationTRANSCRIPT
Land Discipline Report Back
Chris Justice
Current Issues and Priorities• Broadening MODLAND in the framework of the
focus area measurement teams and land data processing following the Ocean Color Model – Recognizing important land building blocks e.g. Val LPV, QA LDOPE, Land
Rapid Response, LADS, ORNL Subsets, DAAC Data Pool, VIIRS LAND PEATE, REASONS e.g. Land LDTR, GLCF, LEDAPS, TRFIC
• Collection 5 Testing (highest priority)– Greater emphasis on product testing prior to production– Development of the LADS (data distribution) of Test Data – land equivalent
of the Atmospheres (AADS)
• Validation – Continuing Stage 2 validation– Where possible engaging users in the process of validation– LPV WG gathering momentum – transition to IGOS/GEOSS
Current Issues Cont’d• New Recompeted Land Products
– SCF Product Demonstration / Proof of Concept underway
• Continued Community Outreach – Publication of Results– Need to keep User Guides and Web Sites Current– Handle NSFAQ and requests as best we can
• Recognize ramping down of MODIS SDST and MCST– Decreasing staffing / broadening responsibilities
• Distribution and Archive – Continued growth in users and distribution from
the DAACs (EDC,NSIDC)
• Hard to keep track of all the new developments in the use of MODIS land products
• MODIS Land Direct Broadcast – Real demand for information, code, advice– Need to build a self help community – lateral tech
transfer– Prepare for NPP VIIRS – Land DB Workshop proposed – timing ?
• Broader community DB meeting planned - Italy Oct ’05• Continue to integrate Land Products into NASA
Applications • Need to raise the Community Voice
– Strong Advocacy for NASA Earth Science– Terra extension – The Landsat Continuity issue – International Cooperation e.g. GOFC/GOLD, IGOL,
CEOS LPV
MODIS Distribution at NSIDC: Volume
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50.00
100.00
150.00
200.00
250.00
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4/1/20007/1/200010/1/20001/1/20014/1/20017/1/200110/1/20011/1/20024/1/20027/1/200210/1/20021/1/20034/1/20037/1/200310/1/20031/1/20044/1/20047/1/200410/1/20041/1/2005
Month
# Gigabytes
MYD29P1N
MYD29P1D
MYD29E1D
MYD29
MYD10C2
MYD10C1
MYD10A2
MYD10A1
MYD10_L2
MOD29P1N
MOD29P1D
MOD29E1D
MOD29
MOD10C2
MOD10C1
MOD10A2
MOD10A1
MOD10_L2
MODIS Distribution from the LP DAAC: Volume
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5
10
15
20
25
30
35
40
Jun-00Aug-00Oct-00Dec-00Feb-01Apr-01Jun-01Aug-01Oct-01Dec-01Feb-02Apr-02Jun-02Aug-02Oct-02Dec-02Feb-03Apr-03Jun-03Aug-03Oct-03Dec-03Feb-04Apr-04Jun-04Aug-04Oct-04Dec-04Feb-05
Monthly Distribution June '00 - Feb '05
Volume (TB)
Snow Accumulation/Depletion Curves above 2500m for the Basin Outlined in Red
Snow-Cover Depletion Curves are Developed using MODIS 8-day Snow Maps (MOD10A2) for the Famine Early Warning System in Afghanistan to provide an
indication of amount of seasonal snow cover for irrigation
Courtesy Michael Budde/USGS
Land bands are used for coastal water biophysical parameters retrieval
Figure 9c. TSS distribution on September 19th 2003 shortly after Hurricane Isabel landfall (From Matarrese et al. in press).
5
10
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45
0 0.02 0.04 0.06 0.08 0.1
y = 4.3137 + 484.58x R= 0.98774
Total Suspended Solid [mg/l]
water reflectance at 650nm
Figure 9b: Total suspended solids vs Surface reflectance at 650nm (for day 105 and 232 of 2003).
Vermote et al.
V005 500m White-Sky AlbedoV005 500m White-Sky Albedo
Schaaf et al. Schaaf et al.
500m 1km
2001193
New Refinements in the V5 Daily MODIS LST PGE Code (PGE16)
Zhengming Wan, ICESS, University of California, Santa Barbara, CA
•Incorporating split window method in the day night algorithm•Comparing emmissivity with land cover and VI
(d) (e) (f)
E LC VI
NDVI based parameters
NDVI Green-Up Rate
NDVI Dry-Down Rate
NDVI-Based LOS
Huete, Didan et al.
•Identified new dynamics in the dry season activity in the tropics in all FPAR, LAI, GPP/NPP and EVI/NDVI products
Nemani, Huete et al.
Dry vs Wet season changes in MODIS Leaf Area Index based on 2000-2004 monthly composites
Wenze/Myneni/Nemani BU/ARC
Year NPP Trop. NPP CO2 growth rate (Gt/y) (Gt/y) (ppm/y)2000 56.06 32.88 1.172001 57.74 33.21 1.562002 55.53 31.97 2.042003 54.80 31.25 2.54
Zhao/Running/Nemani
Global Net Primary Production (MOD17) Anomalies 2000-2003
2000 2001
20032002
El Nino
Terra Mean Fire Radiative Power
Giglio et al.
Land Rapid Response Continuesto give high visibility to applications community
Earth Observatory Story - Fires on Hispaniola Smoke pours from fires burning in the Dominican Republic in this Moderate Resolution Imaging Spectroradiometer (MODIS) image, taken on March 18, 2005, by
NASA’s Aqua satellite.
Land Measurements Team – Earth System Data RecordsSummary of Discussions
• Earth System Data Records (ESDRs) are observations of a parameter of the Earth system optimized to meet requirements to address Earth science questions and to provide for applications.
• Designation of initial ESDRs/CDRs.– Priority derived from the importance of end uses.– Requirements are derived from end-user needs.
o Science questions, applications, decision support
– Engage relevant agencies, e.g., NASA, NOAA, USGS, USDA.
– Compatible with other frameworks, e.g., GTOS, GCOS. – Consistent with records managed by other measurement
teams.– Linked to historical measurements for continuity.
Land ESDR/CDR White Papers
• Describe a candidate ESDR/CDR• 1 – 5 pages, submitted during summer 2005• Scientific rationale and importance, expected end uses,
implied requirements– Temporal and spatial resolutions, accuracy, precision
• Approach– Algorithms, processing/reprocessing,
calibration/validation, product dependencies– Supporting activities, tasks– Feasibility, reliability, algorithm maturity, heritage– Relationships to other products
• Initial Topics– Reflectances, surface temperature, Land cover, snow
cover, albedo, vegetation indices, LAI/fAPAR, primary productivity, fire
– Liaison to surface hydrology ESDRs/CDRs
General Considerations• Low level and high level products are involved in ESDR’s
– Higher level products depend on products such as reflectance and vegetation index.
– Hierarchical organization is useful– White papers would be structured accordingly in terms of
requirements• Explicit attention to error, uncertainty, and precision is required in
definition and production.• Issue of consistency between land sub-groups and ESDR’s –
important for the modeling community• Need to not only define the ESDR but make the case as to why its
critical to the program• Need to consider what will be needed to create the retrospective
data record • Grouping by modeling objectives is desirable
Next Steps
• Pay attention to the bigger picture e.g. Terra extension, Landsat, GEOSS, Earth Science at NASA
• Look for ways to do things better, faster, cheaper– Utilize the resources we have to the greatest effect– Some mid course correction may be needed
• Gather momentum on Land Measurement Team and CARS – specify the needs, variables and rationale ASAP – coordinate with other agencies
• Develop schedule for New Product ATBD reviews• Look for opportunities to support HQ initiatives e.g.
NACP, GEO