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Remote Sens. 2015, 7(6), 7646-7670; doi:10.3390/rs70607646

Provenance Information Representation and Tracking for Remote Sensing Observations in a Sensor Web Enabled Environment

1
Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China
2
State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Academic Editors: Lizhe Wang and Prasad S. Thenkabail
Received: 3 January 2015 / Revised: 25 May 2015 / Accepted: 1 June 2015 / Published: 9 June 2015
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Abstract

The provenance of observations from a Sensor Web enabled remote sensing application represents a great challenge. There are currently no representations or tracking methods. We propose a provenance method that represents and tracks remote sensing observations in the Sensor Web enabled environment. The representation can be divided into the description model, encoding method, and service implementation. The description model uses a tuple to define four objects (sensor, data, processing, and service) and their relationships at a time point or interval. The encoding method incorporates the description into the Observations & Measurements specification of the Sensor Web. The service implementation addresses the effects of the encoding method on the implementation of Sensor Web services. The tracking method abstracts a common provenance algorithm and four algorithms that track the four objects (sensor, data, processing, and service) in a remote sensing observation application based on the representation. We conducted an experiment on the representation and tracking of provenance information for vegetation condition products, such as the Normalized Difference Vegetation Index (NDVI) and the Vegetation Condition Index (VCI). Our experiments used raw Moderate Resolution Imaging Spectroradiometer (MODIS) data to produce daily NDVI, weekly NDVI, and weekly VCI for the 48 contiguous states of the United States, for May from 2000 to 2012. We also implemented inverse tracking. We evaluated the time and space requirements of the proposed method in this scenario. Our results show that this technique provides a solution for determining provenance information in remote sensing observations. View Full-Text
Keywords: provenance; remote sensing observation; Sensor Web; Normalized Difference Vegetation Index (NDVI); Vegetation Condition Index (VCI) provenance; remote sensing observation; Sensor Web; Normalized Difference Vegetation Index (NDVI); Vegetation Condition Index (VCI)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Chen, Z.; Chen, N. Provenance Information Representation and Tracking for Remote Sensing Observations in a Sensor Web Enabled Environment. Remote Sens. 2015, 7, 7646-7670.

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