Abstract:
This is a Java client application that addresses the
data-interoperability needs of the NASA satellite archives, all of
which are currently handled by the NASA Earth Science Information
Partnership Federation (ESIP). We call this client application the
Land Cover Visualization Tool. The University of Maryland houses a
land cover ESIP site that includes the Global Land
... Cover Facility
(GLCF) several terabytes of remotely sensed multi-sensor data, derived
data products, and metadata about all these products. Our client
application provides access to four data sources maintained by the
GLCF. Three of these data sources contain metadata for Landsat
Thematic Mapper (TM) , AVHRR, MARSH and CARPE data products. The last
data source contains the binary image band data for the TM scenes, all
which are stored within the IBM HPSS hierarchical file system.
Using the Land Cover Visualization Tool, the user can perform the
following complex operations on the metadata and data products:
1.Retrieve Landsat TM images and extract sub-images corresponding to a
particular time interval and land region.
2.Retrieve GIS vector data and construct a map of the land features
corresponding to a particular region.
3.Retrieve AVHRR images corresponding to a specific region, and
combine them with GIS data by overlaying the GIS features on top of
the AVHRR images.
4.Dynamically extract sub-sets of TM bands corresponding to a specific
region and time interval, and combine them into one TM scene using an
user-defined composition function.
The user interacts with the Land Cover Visualization Tool through a
GUI to execute all these operations and visualize their results.
There is a website demo that showcases MOCHA and the Land Cover
Visualization Tool in action, allowing users to execute all the above
operations and the same time, monitor the actions taken by MOCHA. 
