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People and Pixels Linking Remote Sensing and Social Science (1998) / Chapter Skim
Currently Skimming:

Plates 4-1, 5-1, 6-1, 6-2, 6-3, 7-1, 7-2, 7-3, 8-1, 8-2, 8-3, and 10-1
Pages 245-256

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 245...
... i Is Lust ED Do o .= Ct Cal so ' - o.
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From page 246...
... , 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)
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From page 247...
... SOURCE: Landsat TM Imagery.
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From page 248...
... SOURCE: Landsat TM Classification.
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From 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.
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From page 250...
... 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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From page 251...
... In this image, blue represents areas cut down during 1986-1990, magenta during 1990-1993, and yellow during 1993-1995.
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From page 252...
... . 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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From page 253...
... 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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From page 254...
... Bottom: Percentage of land classified as developable within selected telephone wire centers.
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From page 255...
... Or ~ Lams \ forms PLATE 8-3 Detailed look at the various data components of the model.
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From page 256...
... 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.
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Key Terms

  • upland forest
  • thematic mapper
  • temperature increase
  • change scenarios
  • baseline climate

  • global mean
  • isolate various
  • potential malaria
  • landsat mss
  • coastal south

  • identify optimum
  • climate patterns
  • monthly temperature
  • patterns generated
  • increase according

  • mayan farming
  • help identify
  • malaria risk
  • mean temperature
  • vegetation inventory

  • annual potential
  • igapo forest
  • five research
  • answering questions
  • circulation models

  • sabanna baixa
  • research sites
  • plasmodium falciparum
  • upland forests
  • models calculated


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