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1 Altamira, Para, Xingu Basin - Landsat TM (226/62), dates 1985, 87,88,91 ,92 - Vegetation inventory: 18 Secondary Succession; 2 Upland forest (lianna and dense) 2 P de Pedras, Para, Marajo I. 91 Landsat TM (224/61), dates 1984, 85, 87, 88, - Vegetation inventory: 8 Secondary Succession; 2 Upland forests; 2 Fl. forest; 10 A~cai agroforestry; 4 Savannas 3 Igarape-A~cu, Para, Bragantina - Landsat TM (223/61), dates 1984, 91, 95 - Vegetation inventory: 16 Secondary Succession; 2 Igapo forest; 1 Upland forest 4 Tome-A~cu, Para Landsat TM (223/61), dates 1984, 91, 95 - Vegetation inventory: 13 Secondary Succession; 1 Upland forest; 5 Agroforestry 5 Yapu, Vaupes, Colombia Landsat TM (004/59; 004/60), dates 1984, 93 - Vegetation inventory; 5 Secondary Succession; 1 Upland forest; 1 Sabanna alta; 1 Sabanna baixa (campinarana) PLATE 5-1 Secondary succession in Amazonia: Thematic Mapper (TM) images of five research sites.
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land A3r'~ulIure ~ :. sst other Its hAstem PLATE 6-1 Detail of 1993 land-use/land-cover classification with village locations, Nang Rong, Thailand. SOURCE: Landsat TM Imagery.
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~ A Upland Agr~iture Brew ~ >~.~Satef Ad Other ~ Survey lane capon A' 3~Kn, Radius Suffer it 11 }s r _ !~l,., Kilometers PLATE 6-2 1993 land-use/land-cover with survey villages and 3 km buffers, Nang Rong, Thailand. SOURCE: Landsat TM Classification.
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Decagon In Polygon al Q 5 1~:1 IC'lometers PLATE 6-3 1993 raw Landsat TM (4,3,2) and Thiessen polygons, Nang Rong, Thai land.
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PLATE 7-1 Thematic Mapper satellite classification showing the political border be- tween Mexico and Guatemala. This image reveals the impact of high rural population on the rain forest. The dark green area represents Guatemala's sparsely populated Peten district as it stands in contrast to the stripped and tilled landscape of Mexico.
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PLATE 7-2 Color-coded change-detection image showing the pattern of accelerating deforestation between 1986 and 1995. In 1986, only a single road extended through this part of the western Peten to the town of Naranjo, near the Mexico-Guatemala border, part of which can be seen in the lower left. In this image, blue represents areas cut down during 1986-1990, magenta during 1990-1993, and yellow during 1993-1995.
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PLATE 7-3 Thematic Mapper satellite classification separating the bajos (seen as magenta) from the remainder of the rain forest (seen as green). Our current research is attempting to isolate various types of bajos, which will assist in answering questions about ancient Mayan farming, as well as help identify optimum areas for farming today.
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v~ MSS Deta~ floor'! ~ O: ~ 973 andse~t hoes Data P'lar~ch 26. TV: February 3' PLATE 8-1 Level I urban built-up land (red) extracted from Landsat MSS data (80 x 80 m) from 1973 and 1981 and Landsat TM data (30 x 30 m) from 1982 and 1994 for the Berkeley/Charleston/Dorchester counties of coastal South Carolina.
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PLATE 8-2 Regional land absorption model for South Carolina. Top: Eight land-use classes from SPOT data. Bottom: Percentage of land classified as developable within selected telephone wire centers.
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Or ~ Lams \ forms PLATE 8-3 Detailed look at the various data components of the model.
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l 1-' ~ - 1} _ 1- .~:~:~: : fL . GI?OLSS - - '- ~_ , ~· , : ~ _ __ . ~ ~-~ : : . :. - 3 _i_ _ ~ :,.,:,::,::,:: ~ ~ _ _ _ ........... :.: ~ ~ ~= ........ ': :::::::::::::. 1~ 1 1 ~ ~ : 1 _ _ _ ~1 . ~ _ - l i_ _ ~ Hi. ~ ~ __ ::----::::_ B ~I_ - ~ ~ ~ : _ . .. . _ . ~ ~ ~-~-l't-~--~-I''l-I'-~-~l'l''l'~'1'-~'~ l~-~:~l'T! ~ ~ ~ ~ ~ 'I ~ 'lo ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ PLATE 10-1 Ratio of average annual potential malaria risk (Plasmodium falciparum) under three climate change scenarios to the risk with baseline climate. Based on climate patterns generated by the GFDL89, ECHAM 1-A, and UKTR general circulation models calculated from monthly temperature and precipitation. Global mean temperature in- crease according to the three scenarios is 1.16°C. Figure prepared by Dr. Pim Martens, Dutch National Institute of Health and Environment Protection. SOURCE: Martens et al. (1997~. Reprinted with kind permission from Kluwer Academic Publishers and Pim Martens.
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