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Table 3.1 Land cover changes in the Altamira subsite study area: 1985-91
Percentage land cover
Land cover class
1985
1988
1991
Mature forest
44.32
40.71
39.21
Pasture/grass
18.71
10.88
5.71
Initial SS (SS1)
10.68
13.78
14.67
Intermediate SS (SS2)
6.43
18.82
26.42
Advanced SS (SS3)
1.33
6.91
10.65
Bare/nearly bare
14.74
2.72
0.93
Crop/agriculture
2.38
4.78
1.01
Water/wetland
1.41
1.41
1.41
Modified from Geocarto International (1993), Vol. 8, No. 4, p. 67.
Table 3.2 Land cover changes in the full Altamira study area: 1985-91
Percentage land cover
Land cover class
1985
1988
1991
Mature forest
64.01
58.73
56.99
Pasture/grass
10.82
7.92
3.06
Initial SS (SS1)
5.58
8.58
10.91
Intermediate SS (SS2)
4.19
9.97
15.47
Advanced SS (SS3)
0.91
3.96
5.93
Bare/nearly bare
7.59
1.71
1.33
Crop/agriculture
1.16
2.82
0.64
Water/ wetland
5.74
6.31
5.68
Modified from Geocarto International (1993), Vol. 8, No. 4, p. 69.
Quantitative insights into net gains or losses of carbon in the sequestered or
gaseous states are becoming possible to derive through biomass modeling
studies combining field and spectral data. Research is being conducted to use
moderate resolution spectral data and field sample data to inform lower
resolution sensor data to acquire accurate regional LULC information.
Neural network classification is being implemented in this scaling-up
research that promises to provide greater quantification of carbon sequestra-
tion/CO 2 release associated with remote sensing-derived LULC changes over
large areas.
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