Below are the first 10 and last 10 pages of uncorrected machine-read text (when available) of this chapter, followed by the top 30 algorithmically extracted key phrases from the chapter as a whole.
Intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text on the opening pages of each chapter.
Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.
Do not use for reproduction, copying, pasting, or reading; exclusively for search engines.
OCR for page 245
i Is
Lust
ED
Do
o
.=
Ct
Cal
so
' - o.
o
Cal
¢
[a
¢
OCR for page 246
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.
OCR for page 247
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.
OCR for page 248
~ 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.
OCR for page 249
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.
OCR for page 250
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.
OCR for page 251
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.
OCR for page 252
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.
OCR for page 253
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.
OCR for page 254
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.
OCR for page 255
Or ~
Lams
\
forms
PLATE 8-3 Detailed look at the various data components of the model.
OCR for page 256
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.
Representative terms from entire chapter:
upland forest
