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Volume 6, Number 3—June 2000


Remote Sensing and Human Health: New Sensors and New Opportunities

Louisa R. Beck*†Comments to Author , Bradley M. Lobitz†, and Byron L. Wood†
Author affiliations: *California State University, Monterey Bay, California, USA; †NASA Ames Research Center, Moffett Field, California, USA

Main Article

Table 1

Research using remote sensing data to map disease vectorsa

Disease Vector Location Sensor Ref.
Dracunculiasis Cyclops spp. Benin TM 1
Cyclops spp. Nigeria TM 2
Eastern equine Culiseta melanura Florida, USA TM 3
Filariasis Culex pipiens Egypt AVHRR 4
Cx. pipiens Egypt TM 5,6
Leishmaniasis Phlebotomus SW Asia AVHRR 7
Lyme disease Ixodes scapularis New York, USA TM 8, 9
I. scapularis Wisconsin, USA TM 10
Malaria Anopheles Mexico TM 11
An. albimanus Belize SPOT 12
An. albimanus Belize SPOT 13
An. albimanus Mexico TM 14
An. spp. Gambia AVHRR, Meteosat 15, 16
An. albimanus Mexico TM 17, 18
Rift Valley fever Aedes & Cx. spp. Kenya AVHRR 19, 20
Cx. spp. Kenya TM, SAR 21
Cx. spp. Senegal SPOT, AVHRR 22
Schistosomiasis Biomphalaria spp. Egypt AVHRR 23
Trypanosomiasis Glossina spp. Kenya, Uganda AVHRR 24
Glossina spp. Kenya TM 25
Glossina spp. West Africa AVHRR 26
Glossina spp. Africa AVHRR 27
Glossina spp. Southern Africa AVHRR 28

aSee Appendix 1 for explanation of sensor acronyms

Main Article

1CHAART was established at Ames Research Center by NASA's Life Sciences Division, within the Office of Life & Microgravity Sciences & Applications, to make remote sensing, geographic information systems, global positioning systems, and computer modeling available to investigators in the human health community.

2The information gathered during the CHAART sensor evaluation process is available at