AgRISTARS/LACIE Collection
Finding aid created by Special Collections staff using RecordEXPRESS
UC Davis. Special Collections
2018
University of California, Davis, Special Collections, UC Davis Library
100 NW Quad
Davis, California 95616-5292
(530) 752-1621
speccoll@ucdavis.edu
http://www.lib.ucdavis.edu/specol/
Title: AgRISTARS/LACIE Collection
Dates: circa 1970-1989
Collection Number: D-342
Creator/Collector:
AgRISTARS Program.
LACIE (Project : U.S.)
Extent: 464 linear feet
Repository:
UC Davis. Special Collections
Davis, California 95616-5292
Abstract: Aerial photographic negatives and transparencies of croplands. Country areas include Argentina, Australia, Brazil, Canada,
China, India, USSR, and United States.
Language of Material: English
Collection is open for research.
All applicable copyrights for the collection are protected under chapter 17 of the U.S. Copyright Code. Requests for permission
to publish or quote from manuscripts must be submitted in writing to the Head of Special Collections. Permission for publication
is given on behalf of the Regents of the University of California as the owner of the physical items. It is not intended to
include or imply permission of the copyright holder, which must also be obtained by the researcher.
AgRISTARS/LACIE Collection. UC Davis. Special Collections
Biography/Administrative History
Collection represents the first major step in instituting an automated system capable of monitoring crop conditions and estimating
crop production on a worldwide basis. Accompanying documents assist in the identification of small grains, such as wheat,
using satellite imagery. This joint agricultural monitoring effort included the National Aeronautics and Space Administration,
the U.S. Department of Agriculture, and the National Oceanic and Atmospheric Administration.
Scope and Content of Collection
Aerial photographic negatives and transparencies of croplands. Country areas include Argentina, Australia, Brazil, Canada,
China, India, USSR, and United States.
Agriculture -- Remote sensing.
Crops and soils -- Remote sensing.
Agricultural estimating and reporting.
Landsat satellites.
Multispectral imaging.