Spatial Database Description
The CPC Ecuador Projects have an extremely large database of geospatial
data. The database contains a wide variety of vector and raster
data sets, including roads, hydrography, and digital elevation models
(DEM). It also contains an extensive time-series of satellite imagery,
covering thousands of square kilometers. Some of the data sets cover
the entire study area, while others cover smaller areas, such as
the Intensive Study Areas (ISAs). Four ISAs were created to provide
the investigators with a variety of zones within the larger study
area in which to perform analyses that would require more time and
processing capacity for the complete study area.
Below is a brief description of the contents of the database. For
more detailed information regarding any of the data sets that are
available for distribution, see the
Spatial Metadata page.
Vector
A large number of ARC/INFO coverages were created initially by digitizing
features from 1:50,000-scale topographic maps. A total of 86 topographic
maps, in several different levels of completion, were obtained to
cover the majority of the study area. From these maps, we digitized
50 road coverages, 86 hydrography coverages, 16 elevation contour
coverages, and 21 point elevation coverages. The difference in the
number of each coverage can be attributed to 1) there only being
50 topographic maps with roads; 2) the extreme amount of time needed
to digitize contours, resulting in the digitization of contours
only for the ISAs; and 3) the digitization of point elevations for
the same maps as the contours, plus a few extra.
Another source of data is the
Global Positioning System (GPS). GPS receivers were used to
collect geodetic control for the rectification of
satellite imagery, land use/land cover (LULC) data for the classification
of satellite imagery, and house and finca boundary locations for
the delineation of finca madres.
The GPS points for the finca front property corners were used in
conjunction with satellite imagery and air photos to create a polygon
coverage representing the spatial area of each surveyed finca madre.
Other vector data includes political boundaries for the nation
of Ecuador and its provinces, the major cities and small communities
in the northern Oriente, and smaller-scale (1:250,000) hydrography
for the northern Oriente.
Non-Imagery Raster
The majority of the non-imagery raster data falls into one of two
categories: topography and land use/land cover (LULC). The topography
data includes digital elevation models (DEMs) and some derivative
data sets (slope, aspect, and topographic moisture index) for each
ISA. The LULC includes a generalized, four-class classification
for each ISA for several dates.
Remotely Sensed Imagery
Remotely sensed imagery comprises the richest amount of spatial
data in the entire database. The majority of images are from the
Landsat Multispectral Scanner (MSS) and Thematic Mapper (TM) satellite-based
platforms. Both sensors are passive, meaning that they capture reflected
electromagnetic radiation off of the surface of the earth, or off
of clouds, if they happen to get in the way. These satellite images
provide a regional view of the study area, with each image covering
approximately 185km east-west and 200km north-south. The Landsat
time-series provides us with snapshots of this area for 30 years,
beginning in 1973 and continuing up to the present. The satellite
passes over the same location every 16 days, giving users the ability
to regularly monitor changes in the LULC. Unfortunately, the climate
in this region causes there to be many overcast days, drastically
reducing the number of cloud-free images in this 30-year time span
from a potential 680 down to a mere 24.
In addition to the Landsat imagery, we have begun acquiring high-resolution
IKONOS satellite imagery. IKONOS is a privately-owned passive satellite
sensor, operated by Space
Imaging in Colorado. IKONOS imagery has a spatial resolution
of up to 1 meter (compared to Landsat TM’s 30m resolution),
allowing for much more detail to be gleaned from the images, at
the cost of a much smaller areal coverage.
Aerial photographs are the third type of remotely sensed imagery
in the database. The air photos are from two dates: 1979 and 1990.
They have been scanned at 300dpi and can be used to analyze and
verify LULC at those two dates.