Full text: Resource and environmental monitoring

another by 
forestation 
e the late 
these data 
urces, and 
tly greater 
rbon from 
he average 
ared land. 
ccount the 
the long- 
and plant 
wlation of 
| or the 
sponse te 
develop a 
ice, which 
forestation 
jd utilize 
referenced 
nced data 
d through 
ents. Until 
e location 
has been 
gnment of 
d, hence, 
roach also 
types of 
F project 
emporally 
tropical 
in models 
> tropical 
ler Humid 
in closed 
or a base 
1e rate of 
ther time 
ducts for 
n system 
inagement 
ving and 
  
Through these objectives the project aims at improving 
significantly the most important source of uncertainty in our 
understanding of the role of the biota in the global carbon 
cycle. At the same time, the project will contribute 
significantly to improving the database for several 
international policy initiatives including the Framework 
Convention on Climate Change, the activities of the 
Intergovernmental Panel on Climate Change, national 
emission inventories and many others which focus on the role 
of tropical forests. It is our aim that the results of this project 
will simultaneously fulfill the needs of the global change 
research community, the international policy community, and 
national-level forest resources and economic development 
programs. The project will focus on the three regions where 
most of the tropical deforestation in the world has occurred: 
(1) the Amazon Basin, (2) Central Africa, and (3) Southeast 
Asia. Mapping deforestation in these three regions will 
account for the majority of deforestation activities in closed 
tropical forests worldwide and will account for approximately 
75-80% of the current net biotic flux of carbon. 
As part of NASA's Pathfinder Program we had a two very 
specific goals: 
l. "To utilize large amounts of existing satellite 
technologies and data in new ways to address important 
global change research questions in advance of, and 
leading toward, the launch of the Earth Observing System 
(EOS)". 
2. "'To develop a foundation of experience for managing 
large amounts of satellite data for global change research 
prior to the launch of the Earth Observing System, 
thereby testing and proving the technologies and 
approaches for information management which will be 
needed by the community at large with the launch of the 
Earth Observing System. In other words, we are 
Pathfinding”. | 
3. OVERVIEW OF APPROACH 
Our approach to Pathfinder was straightforward. The first step 
was the identification and acquisition of a pan-tropical, wall- 
to-wall LANDSAT digital data set from the national archive at 
the EROS Data Center and the archives of the foreign ground 
receiving stations with coverage of the study areas (e.g. 
Brazil, Thailand, and Australia). A three-date data set was 
selected based on data availability. The three dates, or epochs, 
selected were the early-1970s (i.e. 1972-1974), mid-1980s 
(ie.. 1984-1986), and early 1990s (i.e. 1989-1994). This 
parsing of data analysis over three year wide epochs enables 
better coverage due to persistent cloud cover found in the 
tropics. LANDSAT MSS data were used for the two earliest 
epochs. LANDSAT TM data were used for the 1990s epoch. 
MSS was the only sensor in the 1970's and the most 
| International Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998 
data set. 
commonly ordered and archived in the mid-1980's. Once 
acquired, the digital data was then analyzed to create a science 
product data set: a digital map database, in a geographic 
information system, of the rate and extent of deforestation. 
The development of a project Information Management 
System (IMS) was an essential element of the project and in 
keeping with the overall goals of the NASA Pathfinder 
Program. The IMS has three functions: Data query and archive 
metadata retrieval; Data management and lineage tracking for 
the project; and Archive management and data dissemination. 
The Pathfinder project used ARC/INFO, a vector-based GIS, for 
spatial data analysis and as the basis for the IMS development. 
The entire data set and all analyses can either be referenced by 
geographic location, or a tiling system based on the 
LANDSAT World Reference System path/row footprint. The 
tile system provides an organized' foundation for data 
acquisition, cataloging, processing and overall data 
management. The GIS permits re-sorting, grouping, or 
subsetting across the tile system or any other map projection, 
thus it greatly enhanced our flexibility in analysis of the data. 
From the derived data set, several science end-uses can be 
envisioned. Some, such as carbon emissions, are derived 
directly from the product data set when it is used in 
conjunction with numerical models. Others, such as wetlands 
and hydrography mapping, can be derived from the original 
Landsat image data using different methodologies. Timber 
inventories, resource and environmental planning, 
management and assessment can also make good use of this 
There are many other users in wide-ranging 
disciplines including the social sciences, and others, that can 
apply these data to a myriad of uses once they are widely 
distributed. 
3.1 Provision of Landsat Data to Project 
The EROS Data Center (EDC) provides data pre-processing 
support to the Pathfinder. EDC also provides technical support 
and data brokerage services for foreign acquisitions. The MSS 
data archive at the EROS Data Center was tapped to acquire 
digital MSS data whenever possible. In addition, data from the 
ground stations in Thailand, Indonesia, Australia, Brazil, 
Ecuador, and, Gabon, Kenya, and South Africa are also used 
when EDC archive coverage was poor. A program of new 
acquisitions for early-1990s was developed under the NASA / 
EOSAT data grant and the NASA Landsat Data Buy, as well as 
through collaborative efforts with other agencies such as EPA 
and the World Bank. 
Digital data selected from the national or foreign archives and 
from new acquisitions were sent to EDC for specially designed 
Pathfinder preprocessing. This includes conversion to a 
common format (CCT-P) from other formats (e.g. CCT-X, 
CCT-A, and others) and the addition of map coordinates. Each 
scene was registered to a Universal Transverse Mercator (UTM) 
map projection using satellite navigation data (includes only 
system corrections), and the digital image was imbedded with 
479 
 
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.