Remote
sensing and other geospatial technologies are being developed as a tool
for Precision Agricultural support. Studies of California's Napa Valley
vineyards have used high-spatial resolution remote sensing to map damage
from insect infestation, and map crop vigor differences induced by natural
within-field variability in soils and overall growing conditions.
Ames
has been involved in public health work since 1985 with the Global Monitoring
and Human Health (Di-Mod) applied research projects on malaria risk
in California and Mexico. The Center for Health Applications of Aerospace
Related Technologies (CHAART) was established by NASA Headquarter's
Life Sciences Division in 1995 to continue this work in the form of
training, directed research, education and outreach; consulting; and
collaboration in the use of remote sensing and geographic information
systems / technologies for disease risk modeling, with an emphasis on
vector-borne diseases.
The
Disaster Management / Mitigation component of SGE provides cutting edge
research, development and applications of various technologies (sensors,
platforms, data telemetry and data analysis) for assisting in providing
information on disaster risks and events, and post-event recovery for
the disaster management community. Primary focus thrusts are in wildfire
analysis, floods, and hurricane events.
The use of appropriate sensor packages combined with the Branch experience
in integration on UAV platforms positions SGE well for developing and
transferring technologies beneficial to long-duration, repetitive information-gathering
missions of disaster events.
The
Forestry component of the SGE Applications efforts focuses on development
of imaging capabilities and image analysis tools to facilitate the understanding
of forest resources, forest health, and forest composition. These factors
are key elements of resource sustainability and allow the forest manager
to more readily assess the overall condition of forest lands. By providing
research and development, demonstrations, applications and technology
transfer, SGE ensures that forest managers are kept abreast of the most
recent trends in remote sensing technologies.
Remote
sensing and other geospatial technologies are being developed as a tool
for Precision Agricultural support. Studies of California's Napa Valley
vineyards have used high-spatial resolution remote sensing to map damage
from insect infestation, and map crop vigor differences induced by natural
within-field variability in soils and overall growing conditions.
Ames
has been involved in public health work since 1985 with the Global Monitoring
and Human Health (Di-Mod) applied research projects on malaria risk
in California and Mexico. The Center for Health Applications of Aerospace
Related Technologies (CHAART) was established by NASA Headquarter's
Life Sciences Division in 1995 to continue this work in the form of
training, directed research, education and outreach; consulting; and
collaboration in the use of remote sensing and geographic information
systems / technologies for disease risk modeling, with an emphasis on
vector-borne diseases.
The
Disaster Management / Mitigation component of SGE provides cutting edge
research, development and applications of various technologies (sensors,
platforms, data telemetry and data analysis) for assisting in providing
information on disaster risks and events, and post-event recovery for
the disaster management community. Primary focus thrusts are in wildfire
analysis, floods, and hurricane events. 
The
Forestry component of the SGE Applications efforts focuses on development
of imaging capabilities and image analysis tools to facilitate the understanding
of forest resources, forest health, and forest composition. These factors
are key elements of resource sustainability and allow the forest manager
to more readily assess the overall condition of forest lands. By providing
research and development, demonstrations, applications and technology
transfer, SGE ensures that forest managers are kept abreast of the most
recent trends in remote sensing technologies.
