|
Summary of a joint CEOS-WGCV and GOFC-GOLD workshop on
validation of vegetation continuous fields products
Operational land cover observations require commonly accepted validation
protocols so that users can understand the limitations of products and
so that producers can improve them. Land cover is typically
characterized by a classificatory scheme, which assigns each pixel to
one of a number of classes. An alternative approach is to characterize
each pixel in terms of the proportion occupied by a particular class
such as the percentage tree cover, creating so-called vegetation
continuous fields (VCF) products. For the evolving suite of VCF products
there is only limited accuracy information, and neither are there an
integrated sampling framework or field measurement protocol to implement
a thorough product validation on regional and global scales.
On 27th and 28th October, a workshop was held at South Dakota State
University’s in the Geographic Information Science Center of Excellence
in Brookings, South Dakota, to discuss and develop concepts for
validating VCF data sets. This meeting was a continuation of the joint
activities of the CEOS Working Group for Calibration and Validation
(WGCV) and GOFC-GOLD to evolve standards for land characterization and
validation. This has already resulted in a document describing best
practices for validating conventional classifications of global land
cover data sets. Similarly, the overall objective of the VCF validation
meeting was to present and discuss approaches to validate continuous
vegetation cover estimates and develop consensus from the science
community, producers and users of VCF products on the most suitable
approaches for their validation and for confidence-building so that such
data will have much wider use. The workshop was attended by 22 experts
representing a variety of universities, agencies, and user organizations
from different parts of the world (e.g. CEOS, GOFC-GOLD, USGS, JRC,
INPE, USFS, USDA, etc.). The following sections provide an overview of
the workshop discussions and outcomes.
New VCF products
The suite of MODIS VCF products will be extended within the next year.
The current single-date 500 m product of tree, herbaceous, and bare
cover will be improved to a global 250 m multi-year data set including a
larger variety of thematic layers. They include trees, woody shrubs,
herbaceous, bare, agriculture, water, as well as, leaf longevity and
leaf type. Developing a validation framework for all these upcoming
products including change characteristics seems essential; however, the
workshop’s technical discussions were largely focused on the assessing
single-date tree cover datasets.
Validation objectives
There is more than one reason for validating VCF layers. Robust accuracy
assessment is important for the production of maps and to support good
science. Many international environmental protocols and agreements
require that map products are independently evaluated and can
potentially be challenged. User communities often request validation
statements but also require interoperability with any data and analysis
system in place. Thus, inter-comparisons with existing data in the form
of in situ or map products) may also be considered in the accuracy
assessment processes to build user confidence in new earth observation
products.
Validation techniques
The validation approaches for continuous fields data are somewhat
different than for covnetional land cover classificiations. The sampling
design has to consider the continuous heterogeneity of the land surface
and the different reference data acquisitions and analyses; accuracy
reporting will be based on measures like correlation and root mean
square error instead of the classical error matrix. In-situ observations
require quantitative measures of cover density from representative
reference sample areas or transects. Such information needs to be scaled
for comparison with big pixels of moderate resolution global map
products such as those from MODIS. Different intermediate resolution
remotely sensed data may be used for this purpose, e.g. 1-5 m resolution
data allow tree crown identifications or Landsat-type data provide
fine-resolution fractional cover estimates where there are closed
canopies and the landscape is not heavily fragmented. Timing and the
spatial support domain of reference data are key considerations since
VCF conventionally represents vegetation at peak conditions as sub-pixel
estimates.
A suite of available datasets was identified, which may be useful for
VCF verification and harmonization purposes. Prominent examples for tree
cover are forest inventories, existing in situ datasets and networks
(i.e. BIGFOOT, VALERI, GTOS-TEMS, LTER, GLC2000 and MODIS sites), and
several other available global and regional land cover map products.
However, existing data sets rarely provide reference information
thorough enough that they can directly used to validate VCF
measurements. Specific cross-walking procedures may need to be developed
. Most likely the comparisons will provide qualitative indicators of
performance useful for regional-scale confidence building rather than
quantitative validation assessment.
Implementation framework
The implementation of a global operational validation requires a joint
international initiative. GOFC-GOLD and the CEOS WGCV have outlined such
a framework for global land cover datasets. It describes the processes
for the establishment and operation of such a framework and defines
roles and responsibilities to involve key actors for best use of
resources and experiences. This initiative is a response to the GCOS
Implementation Plan of the UNFCCC. The VCF validation efforts are
expected to join and profit from this ongoing initiative ultimately
providing robust, comparative, and updated accuracy assessment for all
key global land cover datasets. Until then, studies are encouraged that
support better understanding of VCF product accuracy both as
quantitative and confidence building validation and verification
exercises.
Codifying best practices
The participants of the workshop agreed to summarize the consensus on
approaches to VCF validation in a “best practices” document. This effort
will follow the model of the “Recommendations for Evaluation and
Accuracy Assessment of Global Land Cover Maps” developed by CEOS WGCV
and GOFC-GOLD; a document currently in print.
An outline of the corresponding VCF document was prepared during the
workshop and will be developed within the next months based on the
workshop findings. This document for validating discrete land cover data
sets will draw upon other completed validation efforts notably the
afore-mentioned document produced by CEOS WGCV and GOFC-GOLDVCF
validation is just starting and is expected to benefit from validation
of related variables depicted in similar ways such as LAI and from other
related ongoing studies.
Overall, the workshop provided a successful start in this arena. Not all
questions raised at the workshop may have been answered properly, but a
road map was developed to move forward. At least one additional
workshops will be needed.
Martin Herold
Matt Hansen
John Townshend
29.10.05
Outline of VCF Validation Issues
- Significance of VCF
- Thematic layers
- Uses of VCF
- Sources of uncertainty
- Issues involving big pixel validation
- Validation objective
- Thematic layers
- User guidance on VCF value
- Input to improvements to future products
- Designing a sampling scheme
- Probabilistic
- Alternative methods
- Global schemes
- Regional schemes
- Reporting of validation (RMSE etc), multi-scale reporting
- Confidence building using existing data sets
- VCF validation using in situ measurements
- VCF validation using finer-resolution remotely sensed data
- Integrated in situ and finer-resolution remotely sensed data
- Considerations for validating VCF change maps
- Developing institutional partnerships
- Introduction – Martin’s diagram
- Linkages with other efforts
- Challenges in developing and porting a protocol
- Reporting of results/data sharing
- Phasing in protocols
- Relating results to new products
Participants
| Name |
Institution |
Email |
| Belinda Arunarwati |
Forest Planning Agency MOF of Indonesia |
belinda@dephut.go.id |
| Ahmad Basyiruddin |
Forest Planning Agency MOF of Indonesia |
udin@dephut.go.id |
| Michael Brady |
CFS |
mbrady@nrcan.gc.ca |
| Ken Brewer |
USDA Forest Service RSAC |
kbrewer@fs.fed.us |
| Mark Cochrane |
SDSU/GIScCE |
mark.cochrane@sdstate.edu |
| Bob Cook |
ORNLDACC |
cookrb@ornl.gov |
| Ruth Defries |
UMD |
rdefries@mail.umd.edu |
| Charlene DiMiceli |
UND |
cdimicel@geog.umd.edu |
| Mark Finco |
USDA Forest Service RSAC |
mfinco@fs.fed.us |
| Kevin Gallo |
NOAA/ EROS/ GIScCE |
kgallo@usgs.gov |
| Matthew Hansen |
SDSU/GIScCE |
Matthew.Hansen@sdstate.edu |
| Tom Loveland |
USGS EROS/ GIScCE |
loveland@usgs.gov |
| Philippe Mayaux |
JRC European Commission |
philippe.mayaux@jrc.it |
| Jeff Morisette |
Nasa GSFC |
jeff.morisette@nasa.gov |
| Mark Nelson |
USDA Forest Service FIA |
mdnelson@fs.fed.us |
| Karen Schleeweis |
UMD |
ska1@umd.edu |
| Yosio Shimabukuro |
INPE |
yosio@ltid.inpe.br |
| Rob Sohlberg |
UMD |
solhberg@umd.edu |
| Steve Stehman |
State University of NY |
svstehma@syr.edu |
| Robert Tetrault |
USDA Foreign AG |
robert.tetrault@usda.gov |
| John Townshend |
UMD |
jtownshe@umd.edu |
| Kathy Ward |
USDA Forest Service Forest Disease Unit |
kward01@fs.fed.us |
Agenda and links to presentations
Agenda
Thursday, October 27
| 8:30 |
Introduction – Goal of the workshop - developing and
codifying a VCF validation methodology -Matt Hansen, South
Dakota State University
GOFC-GOLD – Michael Brady
Defining continuous fields – John Townshend, U. of Maryland
Setting validation objectives – Tom Loveland, USGS EROS
Approaches to validation – Jeff Morisette, NASA Goddard
Examples of VCF validation data sets – Matt Hansen, South
Dakota State University, Karen Schleeweis, University of
Maryland
Sampling – Steve Stehman, State University of New York
Discussion
|
| 11:30 |
Lunch
|
| 1:00 |
VCF in the context of international harmonization/validation
initiatives - Martin Herold - GOFC-GOLD
Validating global land cover
classifications – lessons learned – Phillipe Mayaux, Joint Research Center
Validating MODIS forest change maps – Yosio Shimabukuro, INPE
Validating global VCF maps with regionally-derived products –
Ruth DeFries, University of Maryland
Using MODIS to map forest change in Indonesia
– Belinda Arunarwati and Ahmad Basyiruddin, MOF
Integration of VCF products in national mapping programs -
Mark Finco and Mark Nelson - USFS
ASCII subsets of MODIS land products for validation studies -
Bob Cook, ORNL DAAC
Discussion
|
| 7:30 |
Dinner at SDSU Alumni Center
|
Friday, October 28, 2005
| 8:30 |
Break-out groups
1) codifying best practices for validating
single-date maps
2) codifying best practices for validating
time-series change maps
3) develop implementation framework for operational
validation of land cover information
|
| 12:00 |
Lunch
|
| 1:00 |
Presentation and discussion
|
| 3:00 |
Wrap-up
|
| 4:00 |
End of meeting
|
|