To enable frequent estimates of land surface temperature (LST) from satellite measurements, and to obtain the surface temperature diurnal cycle, two new algorithms are applied to observations from the Geostationary Operational Environmental Satellite (GOES) and the polar orbiting imager NOAA/AVHRR. Results are evaluated against a wide range of ground observations. Evaluations against the Atmospheric Radiation Measurement (ARM) observations and observations within an RMS accuracy of about 1-2 K, standard error of about 1 K and bias of less than 1 K. LSTD from the GOES can be implemented well to the NOAA/AVHRR with the right algorithm.
KEYWORDS: Databases, Knowledge discovery, Data archive systems, Data centers, Data mining, Data modeling, Ozone, Data processing, Operational intelligence, Sensors
Knowledge discovery from online journals, abstracts and citation indices, cross-referenced with the NASA Distributed Active Archive Center (DAAC) user/order database to close the data-knowledge loop. Knowledge discovery in database (KDD) has been defined as the nontrivial process of discovering valid, novel, potentially useful, and ultimately understandable patterns from data. The core step of the KDD process is data mining. Data mining is all about extracting patterns from an organization's stored or warehoused data. These patterns can be used to gain insight into aspects of the organization's operations and predict outcomes for future situations. Patterns often concern the categories to which situations belong. For example, here is the situation, to decide if a journal paper used the NASA DAAC data or not, starting from the Goddard DAAC user/order database record, a rule-based classifier was developed and rules were found firstly with training samples, then these rules were applied to recognize new patterns.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.