Full text: Resource and environmental monitoring

  
  
note that the magnitude of this estimated temperate zone sink 
was to a large degree determined by the value estimated for the 
tropical source term. Recent research to estimate the CO, 
partitioning as a function of latitude and time from 1990 to 
1993 indicated that the northern temperate zone was a large 
terrestrial sink in 1992 and 1993, whereas the biosphere in 
the northern tropics (from equator to 30°N) was a large source 
of carbon (Ciais et al. 1995). The authors attributed this 
difference to either a problem with their intra-hemispheric 
transport between the tropical and temperate latitudes or that 
previous deforestation estimates were lower than the actual 
deforestation. It is also interesting to note that they estimated 
that the southern tropics was a small terrestrial sink in 1992 
and 1993. This is surprising because this latitudinal band 
contains Brazil and Indonesia. Estimates of CO, emission 
from tropical land use rank these two countries as the top two 
in terms of total emissions due to deforestation. The weak 
terrestrial sink in the southern tropical zone suggests that 
either the forests have a positive net ecosystem production 
(due to fertilization of undisturbed forest and/or secondary 
growth formation) or previous estimates of deforestation have 
been overestimated (Ciais et al 1995). 
The current net flux of carbon between the biota and the 
atmosphere due to land use change is uncertain. Three factors 
contribute to this range of uncertainty: (1) rates of 
deforestation, (2) the fate of deforested land (i.e. the amount of 
secondary forest regrowth and re- clearing), and (3) the amount 
of biomass and soil organic matter and their response to 
disturbance, including anthropogenic reductions of carbon 
stocks due to forest thinning or degradation. Models 
developed with improved geographic and temporal data on 
deforestation rates, better parameterization of the dynamic 
nature of deforestation and reforestation, and improved data on 
above- and below- ground carbon response characteristics are 
needed to more accurately estimate net biotic carbon flux. 
1.2 Rate of Tropical Deforestation. 
The current rate of deforestation is unknown. There are only a 
few estimates of tropical deforestation available and they may 
be in error by as much as 50 percent. Moreover, without 
exception all published sources of data on tropical 
deforestation have come in non-spatial, tabular form. 
Therefore, both the rate and geographic distribution of this 
critical forcing parameter needs to be developed in a way 
which is objective, quantitatively reproducible, and useful as 
an input dataset for numerical carbon models. 
The FAO Forest Resource Assessments for 1980 and 1990 
estimated that Southeast Asia comprised 22% and 21% of the 
global deforestation in closed tropical forests from 1971- 
1980 and 1981-1990, respectively (FAO 1993). Estimates by 
the World Resources Institute suggest the rate of deforestation 
in some Southeast Asian countries has more than doubled 
since the late 1970s (e.g. Indonesia). But there is considerable 
uncertainty in these numbers due to the lack of a precise and 
consistent methodology. Two additional reports, one by an 
478 
independent consultant to Friends of the Earth and another by 
the World Resources Institute suggest the rate of deforestation 
in closed forests has increased by 100-140% since the late 
1970s. However it is evident from inspection of these data 
that there are large differences between these two sources, and 
at the level of individual countries they are frequently greater 
than the large difference for their global totals. 
1.3 Modeling carbon flux. 
The simplest way to calculate the net flux of carbon from 
deforestation is to multiply the area deforested by the average 
difference in carbon stocks between forests and cleared land. 
Such a calculation, however, does not take into account the 
time lags associated with the release of carbon from the long- 
term decay of soil organic matter and dead wood and plant 
material. Nor does it take into account the accumulation of 
aboveground biomass in secondary vegetation or the 
accumulation of soil carbon as a long- term response to 
pasture formation. A more accurate approach is to develop a 
dynamic model of changes in carbon after disturbance, which 
takes advantage of large spatial data bases on deforestation 
and ecosystem distributions. This approach would utilize 
remote sensing as the source of geographically-referenced 
deforestation data, along with geographically-referenced data 
on vegetation and soils which could be parameterized through 
detailed in- situ measurements in different environments. Until 
recently, it has been impossible to know the precise location 
of deforestation (since the primary source of data has been 
tabular statistics), thus prohibiting the accurate assignment of 
deforestation to vegetation and soil types, and, hence, 
biomass and soil carbon stocks. An aggregate approach also 
lacks the ability to define temporal shifts in the types of 
ecosystems disturbed. The Landsat Pathfinder HTF project 
focused on creating spatially explicit and temporally 
consistent data base on extent and rates of tropical 
deforestation. This database is ideally suited for use in models 
to estimate average annual flux of carbon due to tropical 
deforestation over the past two decades. 
2. PROJECT OBJECTIVES 
In more specific terms, NASA LANDSAT Pathfinder Humid 
Tropical Inventory Project has three major objectives: 
e Utilize LANDSAT data to map deforestation in closed 
tropical forests at sub-kilometer resolution for a base 
period (e.g. 1986); 
e Utilize LANDSAT data to quantify and map the rate of 
deforestation by mapping the change from other time 
periods (eg.1973, 1992); and 
* Create a Landsat data set and science products for 
distribution in a digital geographic information system 
(GIS) format, and develop an information management 
system (IMS) to manage data orders, archiving and 
processing and distribution of products. 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998 
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