Audiographic-based instructional delivery

Issued as Quarterly report [1-3], and Final report, Project no. G-36-605Final report has title: Audiographic-based instructional delivery: an experiment in Georgia educatio

Analysis of the IBM-9000

Issued as Final report, Project no. G-36-60

Distributed combat service support advanced experimental demonstrations

Issued as Final report, Project no. G-36-61

Family planning regional data network

Issued as Implementation plan and schedule, Bimonthly progress summary [1-5], Network design, Preliminary assessment, and Final report, Project no. G-36-614Final report has title: System user's documentation for a family planning regional data networ

Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods

An unprecedented spectroscopic data stream will soon become available with forthcoming Earth-observing satellite missions equipped with imaging spectroradiometers. This data stream will open up a vast array of opportunities to quantify a diversity of biochemical and structural vegetation properties. The processing requirements for such large data streams require reliable retrieval techniques enabling the spatiotemporally explicit quantification of biophysical variables. With the aim of preparing for this new era of Earth observation, this review summarizes the state-of-the-art retrieval methods that have been applied in experimental imaging spectroscopy studies inferring all kinds of vegetation biophysical variables. Identified retrieval methods are categorized into: (1) parametric regression, including vegetation indices, shape indices and spectral transformations; (2) nonparametric regression, including linear and nonlinear machine learning regression algorithms; (3) physically based, including inversion of radiative transfer models (RTMs) using numerical optimization and look-up table approaches; and (4) hybrid regression methods, which combine RTM simulations with machine learning regression methods. For each of these categories, an overview of widely applied methods with application to mapping vegetation properties is given. In view of processing imaging spectroscopy data, a critical aspect involves the challenge of dealing with spectral multicollinearity. The ability to provide robust estimates, retrieval uncertainties and acceptable retrieval processing speed are other important aspects in view of operational processing. Recommendations towards new-generation spectroscopy-based processing chains for operational production of biophysical variables are given

Principles and implementation techniques for the recovery component of a DBMS (Computer and Information Science)

Issued as Final report, Project G-36-67

An instruction and research laboratory for syndetic digital-analog computation in science and engineering education

Issued as Final report, Project no. G-36-61

Combat service support control system advanced experimental demonstrations (AED)

Issued as Cost & performance reports [nos. 1-8], Reports [nos. 1-3], and Final technical report, Project no. G-36-63