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Influence of intra annual calibration methods in changing the preciseness of the obtainable information from DMSP-OLS NLT images

Volume: 4  ,  Issue: 1 , May    Published Date: 19 May 2018
Publisher Name: IJRP
Views: 783  ,  Download: 485

Authors

# Author Name
1 E.H.G.C. Pathmasiri

Abstract

Intra-annual composition performing is important to make full use of the information derived from two satellites for the same year and to remove any intra-annual unstable lit pixels. According to the literature, two methods are used to intra-annual calibration of NLT images; the intra annual stable lit pixel identification and averaging method, and the intra annual lit pixel averaging method. In the literature, it was unable to find out any previous research that places attention to identify the most appropriate method for performing intra-annual calibration. Hence, aforementioned both methods were carried out in the study to identify the most appropriate method. In addition to that, it was unable to find out any research paper that places main attention to identify the relationship between DMSP-OLS NLT image data and Gross Domestic Products or electricity consumption of Sri Lanka. The most appropriate method for intra annual calibration of NLT images was identified by comparing the GDP and electricity consumption data that published by Sri Lanka government with the calculated GDP and electricity consumption data for Sri Lanka based on NLT images that calibrated based on aforementioned both methods separately. In the study it was identified a higher core relationship between DMSP-OLS NLT data and GDP as well as electricity consumption in Sri Lanka. However, it is better to perform the intra annual calibration based the intra annual stable lit pixel identification and averaging method (L method) rather than the intra annual lit pixel averaging method (Z method) for obtaining more reliable information on GDP and electricity consumption of Sri Lanka. Further, it was identified that accuracy of the Sum Of Digital Number Values (SODNV) based GDP estimation was higher than the Total Number of Lit Pixels (TNOLP) based estimation while the accuracy of the TNOLP based electricity consumption estimation was higher than the SODNV based estimation.

Keywords

  • Intra annual calibration
  • DMSP-OLS NLT Image
  • GDP Sri Lanka