All Categories : Technical Papers : 2014 ASPRS Louisville Proceedings Bookmark and Share

Title : Estimating Typical Four-Season Thermal Distribution and Self-Adaptive Gradient Based Thresholding Parameters over Coal Fire Areas in China Using Aster and Ldcm Tirs-A Case Study in the Wuda Coal Field, China
Company : China University of Mining and Technology, Beijing
File Name : Du_2.pdf
Size : 1291973
Type : application/pdf
Date : 22-May-2014
Downloads : 1

Rate This File
5 Stars
4 Stars
3 Stars
2 Stars
1 Star

Authors: Xiaomin Du, Daiyong Cao, Guang Yang, Sergio Bernardes, Zhipeng Li, and Feng Li

Coal fire results in significant environmental impacts and coal losses in many countries, including the United States, India, and China. Multiple fire detection methods have been proposed. Many of these rely on thermal infrared (TIR) imagery. This study results from previous research on TIR, including our development of a self-adaptive gradient based thresholding method for coal fire delineation. We used field measurements and images acquired by the ASTER sensor onboard NASA’s Terra satellite and the TIRS onboard Landsat 8 to derive calibration parameters for a threshold estimation algorithm considering different solar radiation intensities, which impact radiance estimations from coal fire. We designed a simultaneous ASTER-field measurement plan in the Wuda coal field (China) and scheduled image collection for four periods, including the winter and the summer solstices (least and most intense solar radiation periods). Collection also included the vernal/autumnal equinoxes. Land surface temperature (LST) was collected before and after each satellite overpass in planned intense sampling block areas. LST field samples were integrated into 90-100 m TIR pixels. Data were combined with coal fire boundaries collected in the field and were used to validate the coal fires retrieved from four calibrated image by our temperature retrieving method, and the gradient-based threshold method. Results are a series of adjustment parameters for the fire detection method for four typical seasons. Correction parameters estimated by our method at the Wuda coal field can be extended to other fire areas lacking detailed studies, thus supporting surface temperature retrieval and underground coal fire delineation.
User Reviews More Reviews Review This File
It sounds gooey to state that you will know whether your tyke is adapting yet actually you will know whether your tyke is write my research paper. You can see it on their faces, you can judge by their state of mind, and you will see forward improvement. - Rocky_ - Report As Inappropriate

Harris

Featured Video
Jobs
Geospatial Software Developer for Applied Research Laboratories UTA at Austin, Texas
Electrical/Mechanical CAD Design Engineer for Dynetics at Huntsville, California
Mechanical Test Engineer for Dynetics at Huntsville, California
Mechanical Engineer for Parker Drilling at Lafayette, Louisiana
Upcoming Events
Small Satellite Workshop at NGA Campus East Springfield VA - Feb 19 - 20, 2019
Big Data from Space (BiDS'19) at Alte Kongresshalle Munich Germany - Feb 19 - 21, 2019
2019 LOS ANGELES GEOSPATIAL SUMMIT at USC RADISSON HOTEL, 3540 S. Figueroa Street Los Angeles CA - Feb 22, 2019
GIS/CAMA 2019 at Marriott Downtown Waterfront Portland OR - Feb 25 - 28, 2019
University of Denver GIS Masters Degree Online



Internet Business Systems © 2019 Internet Business Systems, Inc.
25 North 14th Steet, Suite 710, San Jose, CA 95112
+1 (408) 882-6554 — Contact Us, or visit our other sites:
AECCafe - Architectural Design and Engineering EDACafe - Electronic Design Automation TechJobsCafe - Technical Jobs and Resumes  MCADCafe - Mechanical Design and Engineering ShareCG - Share Computer Graphic (CG) Animation, 3D Art and 3D Models
  Privacy PolicyAdvertise