[GRASS-SVN] r72582 - grass-addons/grass7/imagery/i.nightlights.intercalibration

Wed Mar 28 04:27:34 PDT 2018

Author: neteler
Date: 2018-03-28 04:27:34 -0700 (Wed, 28 Mar 2018)
New Revision: 72582

Modified:
   grass-addons/grass7/imagery/i.nightlights.intercalibration/i.nightlights.intercalibration.html
Log:
i.nightlights.intercalibration addon manual: all biblio references fixed

Modified: grass-addons/grass7/imagery/i.nightlights.intercalibration/i.nightlights.intercalibration.html
===================================================================

--- grass-addons/grass7/imagery/i.nightlights.intercalibration/i.nightlights.intercalibration.html	2018-03-26 22:33:18 UTC (rev 72581)
+++ grass-addons/grass7/imagery/i.nightlights.intercalibration/i.nightlights.intercalibration.html	2018-03-28 11:27:34 UTC (rev 72582)
@@ -41,7 +41,7 @@
 
 <h3>Details</h3>
 
-<p>From a review paper:
+From a review paper:
 
 <blockquote>
 <p>"Several methods were proposed to overcome the lack of inter-satellite
@@ -57,7 +57,8 @@
 <p>References above are: [23]: [Elvidge 2009] [24]: [Liu 2012], [25]: [Wu 2013]
 
 <h2>EXAMPLES</h2>
-<p>Given all maps are imported in GRASS' data base, which are:
+
+Given all maps are imported in GRASS' data base, which are:
 <div class="code"><pre>
 g.list rast pattern="F*" sep=comma
 F101992,F101993,F101994,F121994,F121995,F121996,F121997,F121998,F121999,F141997,F141998,F141999,F142000,F142001,F142002,F142003,F152000,F152001,F152002,F152003,F152004,F152005,F152006,F152007,F162004,F162005,F162006,F162007,F162008,F162009,F182010,F182011,F182012
@@ -65,24 +66,20 @@
 
 <p>the default inter-calibration, based on [Elvidge 2014], can be performed as:
 <div class="code"><pre>
-i.nightlights.intercalibration image=$(g.list rast pattern="F*" sep=comma)
-suffix=calib_elv
+i.nightlights.intercalibration image=$(g.list rast pattern="F*" sep=comma) suffix=calib_elv
 </pre></div>
 <p>
 <p>An improved inter-calibration model is based on [Wu 2013], can be performed
 as:
 <div class="code"><pre>
-i.nightlights.intercalibration image=$(g.list rast pattern="F*stable_lights*"
-sep=comma) model=wu2013 suffix=calib_wu
+i.nightlights.intercalibration image=$(g.list rast pattern="F*stable_lights*" sep=comma) model=wu2013 suffix=calib_wu
 </pre></div>
 
 <h2>Remarks</h2>
-<p>The calibration models do not include regression coefficients for all of the
-yearly products. In which case, the module will fail and inform with an error
-message like:
+<p>In case the calibration models do not include regression coefficients for all of the
+yearly products, the module will fail and inform with an error message like:
 <div class="code"><pre>
-i.nightlights.intercalibration image=`g.list rast pattern="F??????" sep=comma`
-model=liu2012 --v
+i.nightlights.intercalibration image=`g.list rast pattern="F??????" sep=comma` model=liu2012 --v
 ... ValueError: The selected model does not know about this combination of
 Satellite + Year!
 </pre></div>
@@ -95,7 +92,6 @@
 <h2>TODO</h2>
 <p>in general:
 <ul>
-<li>Fix html manual!</li>
 <li>improve missing key handling and error reporting</li>
 <li>code deduplication</li>
 <li>test -- will it compile in other systems?</li>
@@ -120,39 +116,33 @@
 <h2>REFERENCES</h2>
 <p>Review paper
 <ul>
-<li>Application of DMSP-OLS Nighttime Light Images A Meta-Analysis and a
-  Systematic Literature Review [Huang 2014]</li>
+<li>Huang, Q., Yang, X., Gao, B., Yang, Y., Zhao, Y., 2014. Application of DMSP/OLS Nighttime Light Images: A Meta-Analysis and a Systematic Literature Review. Remote Sensing 6, 6844-6866. https://doi.org/10.3390/rs6086844</li>
 </ul>
-<p>Empirical second order regression model by Elvidge, 2009 | Y = C0 + C1*X +
-C2*X^2</p>
+
+<p>Empirical second order regression model by Elvidge, 2009 | Y = C0 + C1*X + C2*X^2</p>
 <ul>
-<li>Estimating Land Development Time Lags in China Using DMSP/OLS Nighttime
-  Light Image [Zhang 2015]</li>
-<li>National Trends in Satellite-Observed Lighting 1992-2012 [Elvidge 2014]</li>
-<li>Comparative Estimation of Urban Development in China's Cities Using
-  socioeconomic and DMSP/OLS Night Light Data [Fan 2014]</li>
-<li>The Integrated Use of DMSP-OLS Nighttime Light and MODIS Data for
-  Monitoring Large-Scale Impervious Surface Dynamics A Case Study in the
-  Yangtze River Delta [Shao & Liu 2014]</li>
-<li>Characterizing Spatio-Temporal Dynamics of Urbanization in China Using Time
-  Series of DMSP/OLS Night Light Data [Xu 2014]</li>
-<li>Night on Earth Mapping decadal changes of anthropogenic night light in Asia
-  [Small & Elvidge 2013]</li>
+<li>Zhang, L., Qu, G., Wang, W., 2015. Estimating Land Development Time Lags in China Using DMSP/OLS Nighttime Light Image. Remote Sensing 7, 882-904. https://doi.org/10.3390/rs70100882</li>
+<li>Elvidge, C.D., Hsu, F.-C., Baugh, K.E., Ghosh, T., 2014. National trends in satellite-observed lighting. Global urban monitoring and assessment through earth observation 23, 97-118.</li>
+<li>Fan, J., Ma, T., Zhou, C., Zhou, Y., Xu, T., 2014. Comparative Estimation of Urban Development in China's Cities Using Socioeconomic and DMSP/OLS Night Light Data. Remote Sensing 6, 7840-7856. https://doi.org/10.3390/rs6087840</li>
+<li>Shao, Z., Liu, C., 2014. The Integrated Use of DMSP-OLS Nighttime Light and MODIS Data for Monitoring Large-Scale Impervious Surface Dynamics: A Case Study in the Yangtze River Delta. Remote Sensing 6, 9359-9378. https://doi.org/10.3390/rs6109359</li>
+<li>Xu, T., Ma, T., Zhou, C., Zhou, Y., 2014. Characterizing Spatio-Temporal Dynamics of Urbanization in China Using Time Series of DMSP/OLS Night Light Data. Remote Sensing 6, 7708-7731. https://doi.org/10.3390/rs6087708</li>
+<li>Small, C., Elvidge, C.D., 2013. Night on Earth: Mapping decadal changes of anthropogenic night light in Asia. International Journal of Applied Earth Observation and Geoinformation, Spatial Statistics for Mapping the Environment 22, 40-52. https://doi.org/10.1016/j.jag.2012.02.009</li>
 </ul>
+
 <p>Second order regression model & optimal threshold method by Liu, 2012
 <ul>
-<li>Modeling In-Use Steel Stock in China's Buildings and Civil Engineering
-  Infrastructure Using Time-Series of DMSP/OLS Nighttime Lights [Liang
-  2014]</li>
-<li>Dynamics of Urbanization Levels in China from 1992 to 2012 Perspective from
-  DMSP/OLS Nighttime Light Data] [?]</li>
+<li>Liang, H., Tanikawa, H., Matsuno, Y., Dong, L., 2014. Modeling In-Use Steel Stock in China's Buildings and Civil Engineering Infrastructure Using Time-Series of DMSP/OLS Nighttime Lights. Remote Sensing 6, 4780-4800. https://doi.org/10.3390/rs6064780</li>
+<li>Gao, B., Huang, Q., He, C., Ma, Q., 2015. Dynamics of Urbanization Levels in China from 1992 to 2012: Perspective from DMSP/OLS Nighttime Light Data. Remote Sensing 7, 1721-1735. https://doi.org/10.3390/rs70201721</li>
 </ul>
+
 <p>Non-linear, power regression model
 <ul>
-<li>Intercalibration of DMSP-OLS night-time light data by the invariant region
-  method [Wu 2013]</li>
+<li>Wu, J., He, S., Peng, J., Li, W., Zhong, X., 2013. Intercalibration of DMSP-OLS night-time light data by the invariant region method. International Journal of Remote Sensing 34, 7356-7368. https://doi.org/10.1080/01431161.2013.820365</li>
 </ul>
 
-<h2>AUTHORS</h2>
+<h2>AUTHOR</h2>
 
-<p>Nikos Alexandris
+Nikos Alexandris
+
+<p>
+<i>Last changed: $Date$</i>

