HTML demessyfied

git-svn-id: https://svn.osgeo.org/grass/grass/trunk@48839 15284696-431f-4ddb-bdfa-cd5b030d7da7

imagery/i.albedo/i.albedo.html

@@ -19,7 +19,6 @@ Maybe change input requirement of MODIS to [0.0-1.0]?
   <a href="i.vi.html">i.vi</a>
 </em>
 
-
 <h2>AUTHORS</h2>
 
 Yann Chemin, International Rice Research Institute, The Philippines

imagery/i.aster.toar/i.aster.toar.html

@@ -1,11 +1,22 @@
 <h2>DESCRIPTION</h2>
 
-<em>i.aster.toar</em> calculates the Top Of Atmosphere (TOA) reflectance for Terra-Aster L1B in the visible, NIR and SWIR bands (9+1 bands) and brigthness temperature for the TIR bands (5 bands), all from L1B DN values. 
-It is useful after importing your Aster imagery from storage format that is generally in standard DN values range.
-The order of input bands is VNIR: 1,2,3N,3B, SWIR: 4,5,6,7,8,9 TIR: 10,11,12,13,14 in one comma-separated list.
+<em>i.aster.toar</em> calculates the Top Of Atmosphere (TOA) reflectance
+for Terra-Aster L1B in the visible, NIR and SWIR bands (9+1 bands) and
+brigthness temperature for the TIR bands (5 bands), all from L1B DN values. 
+It is useful after importing your Aster imagery from storage format that
+is generally in standard DN values range.
+The order of input bands is
+<ul>
+<li> VNIR: 1,2,3N,3B
+<li> SWIR: 4,5,6,7,8,9
+<li> TIR: 10,11,12,13,14
+</ul>
+in one comma-separated list.
 
 <h2>NOTES</h2>
-Internally, a gain code is defined to modify gains according to spectral bands following the GeoSystems GmbH ATCOR Ver. 2.0 Calibration Files. The function is defined in gain_aster.c file.
+Internally, a gain code is defined to modify gains according to spectral
+bands following the GeoSystems GmbH ATCOR Ver. 2.0 Calibration Files.
+The function is defined in gain_aster.c file.
 
 <div class="code"><pre>
 /*Gain Code*/
@@ -15,8 +26,6 @@ Internally, a gain code is defined to modify gains according to spectral bands f
     /*3 - Low 2(Not Applicable for Band 1-3N/B and 10-14)*/
 </pre></div>
 
-<h2>TODO</h2>
-
 <h2>SEE ALSO</h2>
 
 <em>
@@ -24,11 +33,9 @@ Internally, a gain code is defined to modify gains according to spectral bands f
 <a href="r.in.aster.html">r.in.aster</A><br>
 </em>
 
-
 <h2>AUTHORS</h2>
 
-Yann Chemin, CSU, Australia<br>
-
+Yann Chemin, CSU, Australia
 
 <p>
 <i>Last changed: $Date$</i>

imagery/i.biomass/i.biomass.html

@@ -33,8 +33,7 @@ remove Latitude, DOY and Tsw from input and replace with a raster input compatib
 
 <h2>AUTHORS</h2>
 
-Yann Chemin, Bec de Mortagne, France<br>
-
+Yann Chemin, Bec de Mortagne, France
 
 <p>
 <i>Last changed: $Date$</i>

imagery/i.eb.eta/i.eb.eta.html

@@ -18,9 +18,6 @@ Full ETa processing will need those:
 
 <p>For more details on the algorithms see [1][2][3].
 
-<h2>TODO</h2>
-
-
 <h2>SEE ALSO</h2>
 
 <em>
@@ -46,8 +43,7 @@ agricultural areas. Remote Sensing. -(-):,2009. (submitted))
 
 <h2>AUTHORS</h2>
 
-Yann Chemin, Asian Institute of Technology, Thailand<br>
-
+Yann Chemin, Asian Institute of Technology, Thailand
 
 <p>
 <i>Last changed: $Date$</i>

imagery/i.eb.evapfr/i.eb.evapfr.html

@@ -7,10 +7,6 @@ heat flux (see i.eb.g0) and sensible heat flux (see i.eb.h_SEBAL01).
 A flag adds a root zone empirical soil moisture output from the article of
 Makin, Molden and Bastiaanssen (2001).
 
-<h2>NOTES</h2>
-
-<h2>TODO</h2>
-
 <h2>SEE ALSO</h2>
 
 <em>
@@ -35,8 +31,7 @@ agricultural areas. Remote Sensing. -(-):,2009. (submitted))
 
 <h2>AUTHORS</h2>
 
-Yann Chemin, Asian Institute of Technology, Thailand<br>
-
+Yann Chemin, Asian Institute of Technology, Thailand
 
 <p>
 <i>Last changed: $Date$</i>

imagery/i.eb.h_SEBAL01/i.eb.h_sebal01.html

@@ -20,8 +20,6 @@ Full process will need those:
 [W/m2] after Bastiaanssen, 1995 in [1], used in this form in 2001 by [2]. Implemented
 in this code in [3].
 
-<h2>OPTIONS</h2>
-
 <h2>NOTES</h2>
 <ul>
 <li> z0m can be alculated by i.eb.z0m or i.eb.z0m0 (grass-addons).
@@ -43,25 +41,25 @@ in this code in [3].
 
 <h2>REFERENCES</h2>
 
-  <p>[1] Bastiaanssen, W.G.M., 1995.
+<p>[1] Bastiaanssen, W.G.M., 1995.
   Estimation of Land surface paramters by remote sensing under clear-sky
 conditions. PhD thesis, Wageningen University, Wageningen, The Netherlands.
 
-  <p>[2] Chemin Y., Alexandridis T.A., 2001. Improving spatial resolution of ET
+<p>[2] Chemin Y., Alexandridis T.A., 2001. Improving spatial resolution of ET
 seasonal for irrigated rice in Zhanghe, China}''. Asian Journal of
 Geoinformatics. 5(1):3-11,2004. 
 
-  <p>[3] Alexandridis T.K., Cherif I., Chemin Y., Silleos N.G., Stavrinos E.,
+<p>[3] Alexandridis T.K., Cherif I., Chemin Y., Silleos N.G., Stavrinos E.,
 Zalidis G.C. Integrated methodology for estimating water use in Mediterranean
 agricultural areas. Remote Sensing, 1(3):445-465, 2009.
 
 
 <h2>AUTHORS</h2>
 
-  <i>Yann Chemin, International Rice Research Institute, Los Banos, The
+Yann Chemin, International Rice Research Institute, Los Banos, The
 Philippines.
-  </i>
-  <p>Contact: <a href="mailto:yann.chemin@gmail.com"> Yann chemin</a>
+
+<p>Contact: <a href="mailto:yann.chemin@gmail.com"> Yann chemin</a>
 
 
 <p><i>Last changed: $Date$</i>

imagery/i.eb.soilheatflux/i.eb.soilheatflux.html

@@ -6,12 +6,6 @@ It takes input of Albedo, NDVI, Surface Skin temperature, Net Radiation (see
 <em>r.sun</em>), time of satellite overpass, and a flag for the Roerink empirical
 modification from the HAPEX-Sahel experiment.
 
-<h2>NOTES</h2>
-
-
-<h2>TODO</h2>
-
-
 <h2>SEE ALSO</h2>
 
 <em>

imagery/i.emissivity/i.emissivity.html

@@ -1,13 +1,10 @@
 <h2>DESCRIPTION</h2>
 
-<em>i.emissivity</em> calculates the emissivity in the longwave radiation spectrum, according to the semi-empirical equation related to NDVI by Caselles and Colles (1997), valid in the NDVI range of 0.16 to 0.74.
-
-Estimation in the 8-14 micrometers range for sparse canopy
-
-<h2>NOTES</h2>
-
-
-<h2>TODO</h2>
+<em>i.emissivity</em> calculates the emissivity in the longwave radiation
+spectrum, according to the semi-empirical equation related to NDVI by
+Caselles and Colles (1997), valid in the NDVI range of 0.16 to 0.74.
+<p>
+Estimation in the 8-14 micrometers range for sparse canopy...
 
 
 <h2>SEE ALSO</h2>
@@ -16,10 +13,8 @@ Estimation in the 8-14 micrometers range for sparse canopy
 <a href="i.eb.netrad.html">i.eb.netrad</A><br>
 </em>
 
-
 <h2>AUTHORS</h2>
 Yann Chemin, GRASS Development Team<br>
 
-
 <p>
 <i>Last changed: $Date$</i>

imagery/i.evapo.mh/i.evapo.mh.html

@@ -1,33 +1,33 @@
 <h2>DESCRIPTION</h2>
 
-<em>i.evapo.MH</em> Calculates the reference ET after Hargreaves (1985) and Modified Hargreaves (2001). 
-
-<h2>NOTES</h2>
-Hargreaves GL, Hargreaves GH, Riley JP, 1985. Agricultural benefits for Senegal River Basin. Journal of Irrigation and Drainange Engineering, ASCE, 111(2):113-124.
-
-Droogers P, Allen RG, 2002. Towards a simplified global reference evapotranspiration equation. Irrigation Science.
-Droogers, P., and R.G. Allen. 2002. Estimating reference evapotranspiration under inaccurate data conditions. Irrigation and Drainage Systems 16: 33-45.
-
-Hargreaves and Samani, 1985.
-
-<h2>TODO</h2>
-
+<em>i.evapo.MH</em> Calculates the reference ET after Hargreaves (1985)
+and Modified Hargreaves (2001). 
 
 <h2>SEE ALSO</h2>
 
 <em>
-<a href="i.evapo.PT.html">i.evapo.PT</A><br>
-<a href="i.evapo.PM.html">i.evapo.PM</A><br>
-<a href="i.evapo.potrad.html">i.evapo.potrad</A><br>
-<a href="r.sun.html">r.sun</A><br>
-
+<a href="i.evapo.pt.html">i.evapo.pt</a>,
+<a href="i.evapo.pm.html">i.evapo.pm</a>,
+<a href="i.evapo.potrad.html">i.evapo.potrad</a>,
+<a href="r.sun.html">r.sun</a>
 </em>
 
+<h2>REFERENCES</h2>
+Hargreaves GL, Hargreaves GH, Riley JP, 1985. Agricultural benefits for
+Senegal River Basin. Journal of Irrigation and Drainange Engineering,
+ASCE, 111(2):113-124.
+<p>
+Droogers P, Allen RG, 2002. Towards a simplified global reference
+evapotranspiration equation. Irrigation Science.
+<p>
+Droogers, P., and R.G. Allen. 2002. Estimating reference evapotranspiration
+under inaccurate data conditions. Irrigation and Drainage Systems 16: 33-45.
+<p>
+Hargreaves and Samani, 1985.
 
 <h2>AUTHORS</h2>
 
 Yann Chemin, GRASS Development team, 2007-2011<br>
 
-
 <p>
 <i>Last changed: $Date$</i>

imagery/i.evapo.pt/i.evapo.pt.html

@@ -1,36 +1,40 @@
 <h2>DESCRIPTION</h2>
 
-<em>i.evapo.PT</em> Calculates the diurnal evapotranspiration after Prestley and Taylor (1972). 
-The Priestley-Taylor model (Priestley and Taylor, 1972) is a modification of Penman’s more theoretical equation.
+<em>i.evapo.PT</em> Calculates the diurnal evapotranspiration after Prestley
+and Taylor (1972). The Priestley-Taylor model (Priestley and Taylor, 1972)
+is a modification of Penman’s more theoretical equation.
 
 <h2>NOTES</h2>
-RNETD optional output from i.evapo.potrad is giving good results as input for net radiation in this module.
+RNETD optional output from i.evapo.potrad is giving good results as input
+for net radiation in this module.
 
+<p>
 Alpha values:
-1.32 for estimates from vegetated areas as a result of the increase in surface roughness (Morton, 1983; Brutsaert and Stricker, 1979)
-1.26 is applicable in humid climates (De Bruin and Keijman, 1979; Stewart and Rouse, 1976; Shuttleworth and Calder, 1979), and temperate hardwood swamps (Munro, 1979)
-1.74 has been recommended for estimating potential evapotranspiration in more arid regions (ASCE, 1990). This Worked well in Greece with University of Thessaloniki.
+<ul>
+<li> 1.32 for estimates from vegetated areas as a result of the increase in
+surface roughness (Morton, 1983; Brutsaert and Stricker, 1979)
+<li> 1.26 is applicable in humid climates (De Bruin and Keijman, 1979;
+Stewart and Rouse, 1976; Shuttleworth and Calder, 1979), and temperate
+hardwood swamps (Munro, 1979)
+<li> 1.74 has been recommended for estimating potential evapotranspiration
+in more arid regions (ASCE, 1990). This Worked well in Greece with University of Thessaloniki.
+</ul>
 
 Alpha values extracted from:
 http://www.civil.uwaterloo.ca/Watflood/Manual/02_03_1.htm
 
-<h2>TODO</h2>
-
-
 <h2>SEE ALSO</h2>
 
 <em>
-<a href="i.evapo.PM.html">i.evapo.PM</A><br>
-<a href="i.evapo.potrad.html">i.evapo.potrad</A><br>
-<a href="i.eb.netrad.html">i.eb.netrad</A><br>
-<a href="i.eb.g0.html">i.eb.g0</A><br>
+<a href="i.evapo.pm.html">i.evapo.pm</a>,
+<a href="i.evapo.potrad.html">i.evapo.potrad</a>,
+<a href="i.eb.netrad.html">i.eb.netrad</a>,
+<a href="i.eb.g0.html">i.eb.g0</a>
 </em>
 
-
 <h2>AUTHORS</h2>
 
-Yann Chemin, GRASS Development team, 2007-08<br>
-
+Yann Chemin, GRASS Development team, 2007-08
 
 <p>
 <i>Last changed: $Date$</i>

imagery/i.evapo.time/i.evapo.time.html

@@ -1,58 +1,68 @@
 <h2>DESCRIPTION</h2>
 
-<em>i.evapo.time_integration</em> integrates ETa in time following a reference ET (typically) from a set of meteorological stations dataset.
+<em>i.evapo.time_integration</em> integrates ETa in time following a
+reference ET (typically) from a set of meteorological stations dataset.
 
 Inputs:
-- ETa images
-- ETa images DOY (Day of Year)
-- ETo images
-- ETo DOYmin as a single value 
+<ul>
+<li> ETa images
+<li> ETa images DOY (Day of Year)
+<li> ETo images
+<li> ETo DOYmin as a single value 
+</ul>
 
 Method:
-1 - each ETa pixel is divided by the same day ETo and become ETrF
-2 - each ETrF pixel is multiplied by the ETo sum for the representative days
-3 - Sum all n temporal [ETrF*ETo_sum] pixels to make a summed(ET) in [DOYmin;DOYmax]
+<ol>
+<li> each ETa pixel is divided by the same day ETo and become ETrF
+<li> each ETrF pixel is multiplied by the ETo sum for the representative days
+<li> Sum all n temporal [ETrF*ETo_sum] pixels to make a summed(ET) in [DOYmin;DOYmax]
+</ol>
 
 representative days calculation:
 let assume i belongs to range [DOYmin;DOYmax]
 
+<div class="code"><pre>
 DOYbeforeETa[i] = ( DOYofETa[i] - DOYofETa[i-1] ) / 2
 DOYafterETa[i] = ( DOYofETa[i+1] - DOYofETa[i] ) / 2
-
+</pre></div>
 
 <h2>NOTES</h2>
 
 ETo images preparation:
 If you only have one meteorological station data, the easiest way is:
 
+<div class="code"><pre>
 n=0
 for ETo_val in Eto[1] Eto[2] ...
 do
 	r.mapcalc "eto$n = $ETo_val" 
 	`expr n = n + 1'
 done
+</pre></div>
 
-with Eto[1], Eto[2], etc being a simple copy and paste from your data file of all ETo values separated by an empty space from each other.
-
-If you have several meteorological stations data, then you need to grid them, Thiessen polygons or interpolation for each day.
+with Eto[1], Eto[2], etc being a simple copy and paste from your data file
+of all ETo values separated by an empty space from each other.
 
-For multi-year calculations, just continue incrementing DOY values above 366, it will continue working, up to maximum input of 400 satellite images.
+If you have several meteorological stations data, then you need to grid
+them, Thiessen polygons or interpolation for each day.
 
-<h2>TODO</h2>
+For multi-year calculations, just continue incrementing DOY values above
+366, it will continue working, up to maximum input of 400 satellite images.
 
 <h2>SEE ALSO</h2>
 
 <em>
-<a href="i.eb.eta.html">i.eb.eta</A><br>
-<a href="i.evapo.potrad.html">i.evapo.potrad</A><br>
-<a href="i.evapo.SENAY.html">i.evapo.SENAY</A><br>
-<a href="r.surf.idw.html">r.surf.idw</A><br>
-<a href="r.surf.idw2.html">r.surf.idw2</A><br>
-<a href="r.bilinear.html">r.bilinear</A><br>
+<a href="i.eb.eta.html">i.eb.eta</a>,
+<a href="i.evapo.potrad.html">i.evapo.potrad</a>,
+<a href="i.evapo.SENAY.html">i.evapo.SENAY</a>,
+<a href="r.surf.idw.html">r.surf.idw</a>,
+<a href="r.surf.idw2.html">r.surf.idw2</a>,
+<a href="r.bilinear.html">r.bilinear</a>
 </em>
 
 
 <h2>AUTHORS</h2>
-Yann Chemin, International Rice Research Institute, The Philippines<br>
+Yann Chemin, International Rice Research Institute, The Philippines
+
 <p>
 <i>Last changed: $Date$</i>

imagery/i.latlong/i.latlong.html

@@ -14,15 +14,13 @@ Datum transform is not implemented, the same datum is taken as output.
 <h2>SEE ALSO</h2>
 
 <em>
-<a href="i.evapo.potrad.html">i.evapo.potrad</A><br>
-<a href="r.sun.html">r.sun</A><br>
+<a href="i.evapo.potrad.html">i.evapo.potrad</a>,
+<a href="r.sun.html">r.sun</a>
 </em>
 
-
 <h2>AUTHORS</h2>
 
-Yann Chemin, International Rice Research Institute, The Philippines.<br>
-
+Yann Chemin, International Rice Research Institute, The Philippines
 
 <p>
 <i>Last changed: $Date$</i>

imagery/i.modis.qc/i.modis.qc.html

@@ -1,6 +1,8 @@
 <h2>DESCRIPTION</h2>
 
-<em>i.modis.qc</em> Extracts Requested Quality Assessment flags from the following Modis products: MOD09A1, MOD09Q1, MOD11A1, MOD11A2, MOD13A2, MCD43B2. This does include MOD09A1 QA_state_500m layer (see Notes).
+<em>i.modis.qc</em> Extracts Requested Quality Assessment flags from the
+following MODIS products: MOD09A1, MOD09Q1, MOD11A1, MOD11A2, MOD13A2,
+MCD43B2. This does include MOD09A1 QA_state_500m layer (see Notes).
 
 <pre>
 <em>MOD09A1/Q1: MODLAND QA Bits. bits=[0-1]</em>
@@ -9,7 +11,8 @@
  <li>[00]= class 0: Corrected product produced at ideal quality -- all bands</li>
  <li>[01]= class 1: Corrected product produced at less than ideal quality -- some or all bands</li>
  <li>[10]= class 2: Corrected product NOT produced due to cloud effect -- all bands</li>
- <li>[11]= class 3: Corrected product NOT produced due to other reasons -- some or all bands maybe be fill value (Note that a value of [11] overrides a value of [01])</li>
+ <li>[11]= class 3: Corrected product NOT produced due to other reasons --
+ some or all bands maybe be fill value (Note that a value of [11] overrides a value of [01])</li>
 </ul>
 
 <pre>
@@ -391,30 +394,28 @@ bits[0-3][4-7][8-11][12-15][16-19][20-23][24-27]<br>
 
 
 <h2>NOTES</h2>
-In MOD09A1: It seems that cloud related info is not filled properly in the standard QC (MOD09A1 in this module) since version 3, State-QA 500m images (MOD09A1s in this module) should be used (see Vermote et al., 2008).<br>
+In MOD09A1: It seems that cloud related info is not filled properly in the
+standard QC (MOD09A1 in this module) since version 3, State-QA 500m images
+(MOD09A1s in this module) should be used (see Vermote et al., 2008).
 
 <h2>TODO</h2>
-Add one Day products.<br>
+Add one Day products.
 
 <h2>SEE ALSO</h2>
-<br>
-<a href="https://lpdaac.usgs.gov/lpdaac/products/modis_products_table">MODIS Products</A><br>
-<br>
-Vermote E.F., Kotchenova S.Y., Ray J.P.<br>
-MODIS Surface Reflectance User's Guide.<br>
-Version 1.2. June 2008.<br>
-MODIS Land Surface Reflectance Science Computing Facility.<br>
-<a href="http://modis-sr.ltdri.org">Homepage</A><br>
-
-
 <em>
-<a href="i.vi.html">i.vi</A><br>
+<a href="i.vi.html">i.vi</a>
 </em>
 
+<h2>REFERENCES</h2>
 
-<h2>AUTHORS</h2>
-Yann Chemin<br>
+<ul>
+<li> <a href="https://lpdaac.usgs.gov/lpdaac/products/modis_products_table">MODIS Products</a>
+<li> Vermote E.F., Kotchenova S.Y., Ray J.P. MODIS Surface Reflectance User's Guide. 
+ Version 1.2. June 2008. MODIS Land Surface Reflectance Science Computing Facility. <a href="http://modis-sr.ltdri.org">Homepage</a>
+</ul>
 
+<h2>AUTHOR</h2>
+Yann Chemin
 
 <p>
 <i>Last changed: $Date$</i>

imagery/i.sunhours/i.sunhours.html

@@ -15,28 +15,25 @@ The latitude input map can be created with the <em>i.latlong</em>
 module, or with <em>r.mapcalc</em>'s <tt>y()</tt> function in a
 latitude-longitude location (possibly reprojected with <em>r.proj</em>.
 
-
-<h2>NOTES</h2>
+<h2>REFERENCES</h2>
 
 Iqbal, M., 1983. An Introduction to Solar Radiation. Iqbal, M.,
  Editorial: Academic Press. Toronto, Canada.
+<p>
 Parodi, G., 2000. AVHRR Hydrological Analysis System. Algorithms
  and Theory, Version 1.0. WRES - ITC, The Netherlands.
-<h2>TODO</h2>
-
 
 <h2>SEE ALSO</h2>
 
 <em>
-<a href="i.evapo.TSA.html">i.evapo.TSA</A><br>
-<a href="i.latitude.html">i.latitude</A><br>
+<a href="i.evapo.TSA.html">i.evapo.TSA</a>,
+<a href="i.latitude.html">i.latitude</a>
 </em>
 
 
-<h2>AUTHORS</h2>
-
-Yann Chemin, GRASS Development Team<br>
+<h2>AUTHOR</h2>
 
+Yann Chemin, GRASS Development Team
 
 <p>
 <i>Last changed: $Date$</i>

imagery/i.vi/i.vi.html

@@ -21,8 +21,9 @@ parameters.
   <li>WDVI: Weighted Difference Vegetation Index</li>
 </ul>
 
-<pre>
+<div class="code"><pre>
 ARVI: Atmospheric Resistant Vegetation Index 
+
 ARVI is resistant to atmospheric effects (in comparison to 
 the NDVI) and is accomplished by a self correcting process 
 for the atmospheric effect in the red channel, using the 
@@ -31,147 +32,156 @@ channels.(Kaufman and Tanre 1996).
 ARVI = (nirchan - (2.0*redchan - bluechan)) / 
 ( nirchan + (2.0*redchan - bluechan))
 arvi( redchan, nirchan, bluechan )
-</pre>
+</pre></div>
 
-<pre>
+<div class="code"><pre>
 DVI: Difference Vegetation Index
+
 DVI = ( nirchan - redchan )
 dvi( redchan, nirchan )
-</pre>
+</pre></div>
 
-<pre>
+<div class="code"><pre>
 EVI: Enhanced Vegetation Index
+
 Huete A.R., Liu H.Q., Batchily K., vanLeeuwen W. (1997). 
 A comparison of vegetation indices global set of TM images for 
 EOS-MODIS. Remote Sensing of Environment, 59:440-451.
 EVI = 2.5 * ( nirchan - redchan ) / 
 ( nirchan + 6.0 * redchan - 7.5 * bluechan + 1.0 )
 evi( bluechan, redchan, nirchan )
-</pre>
+</pre></div>
 
-<pre>
+<div class="code"><pre>
 GARI: green atmospherically resistant vegetation index
+
 GARI = ( nirchan - (greenchan-(bluechan - redchan))) / 
 ( nirchan- (greenchan-(bluechan - redchan)))
 gari( redchan, nirchan, bluechan, greenchan )
-</pre>
+</pre></div>
 
-<pre>
+<div class="code"><pre>
 GEMI: Global Environmental Monitoring Index
+
 GEMI = (( (2*((nirchan * nirchan)-(redchan * redchan))+
 1.5*nirchan+0.5*redchan) / (nirchan + redchan + 0.5)) * 
 (1 - 0.25 * (2*((nirchan * nirchan)-(redchan * redchan))
 +1.5*nirchan+0.5*redchan) /(nirchan + redchan + 0.5)))-
 ( (redchan - 0.125) / (1 - redchan))
 gemi( redchan, nirchan )
-</pre>
+</pre></div>
 
-<pre>
+<div class="code"><pre>
 GVI: Green Vegetation Index
+
 GVI = ( -0.2848 * bluechan - 0.2435 * greenchan - 
 0.5436 * redchan + 0.7243 * nirchan + 0.0840 * chan5chan-
 0.1800 * chan7chan)
 gvi( bluechan, greenchan, redchan, nirchan, chan5chan, chan7chan)
-</pre>
+</pre></div>
 
-<pre>
+<div class="code"><pre>
 IPVI: Infrared Percentage Vegetation Index 
+
 IPVI = nirchan/(nirchan+redchan)
 ipvi( redchan, nirchan )
-</pre>
+</pre></div>
 
-<pre>
+<div class="code"><pre>
 MSAVI2: second Modified Soil Adjusted Vegetation Index
+
 MSAVI2 = (1/2)*(2(NIR+1)-sqrt((2*NIR+1)^2-8(NIR-red)))
 msavi2( redchan, nirchan )
-</pre>
+</pre></div>
 
-<pre>
+<div class="code"><pre>
 MSAVI: Modified Soil Adjusted Vegetation Index
+
 MSAVI = s(NIR-s*red-a) / (a*NIR+red-a*s+X*(1+s*s))	
 where a is the soil line intercept, s is the
 soil line slope, and X 	is an adjustment factor
 which is set to minimize soil noise (0.08 in 
 original papers).			
 msavi( redchan, nirchan )
-</pre>
+</pre></div>
+
+<div class="code"><pre>
+NDVI: Normalized Difference Vegetation Index
 
-<pre>
-NDVI: Normalized Difference Vegetation Index 
 Data Type Band Numbers ([IR, Red]) 
 TM Bands= [4,3] 
 MSS Bands = [7, 5] 
 AVHRR Bands = [2, 1] 
 SPOT XS Bands = [3, 2] 
 AVIRIS Bands = [51, 29] 
-
-
 (AVHRR) NDVI = (channel 2 - channel 1) / (channel 2 + channel 1)
-</pre>
+</pre></div>
 
-<pre>
+<div class="code"><pre>
 PVI: Perpendicular Vegetation Index
+
 PVI = sin(a)NIR-cos(a)red 
 for a isovegetation lines (lines of equal vegetation)
 would all be parallel to the soil line therefore a=1
 pvi( redchan, nirchan )
-</pre>
+</pre></div>
 
-<pre>
+<div class="code"><pre>
 SAVI: Soil Adjusted Vegetation Index
+
 SAVI = ((1.0+0.5)*(nirchan - redchan)) / (nirchan + redchan +0.5)
 savi( redchan, nirchan )
-</pre>
+</pre></div>
 
-<pre>
+<div class="code"><pre>
 SR: Simple Vegetation ratio
+
 SR = (nirchan/redchan)
 sr( redchan, nirchan )
-</pre>
+</pre></div>
 
-<pre>
+<div class="code"><pre>
 VARI: Visible Atmospherically Resistant Index
+
 VARI = (green - red ) / (green + red - blue)
 it was designed to introduce an atmospheric self-correction 
 Gitelson A.A., Kaufman Y.J., Stark R., Rundquist D., 2002.
 Novel algorithms for estimation of vegetation fraction 
 Remote Sensing of Environment (80), pp76-87. 
-</pre>
+</pre></div>
 
-<pre>
+<div class="code"><pre>
 WDVI: Weighted Difference Vegetation Index
+
 WDVI = nirchan - a * redchan
 if(soil_weight_line == None):
 a = 1.0 #slope of soil line
 wdvi( redchan, nirchan, soil_line_weight )
-</pre>
+</pre></div>
 
 <h2>NOTES</h2>
 
-<pre>
 Originally from kepler.gps.caltech.edu
-A FAQ on Vegetation in Remote Sensing 
-Written by Terrill W. Ray
-	   Div. of Geological and Planetary Sciences
-	   California Institute of Technology
-email: terrill@mars1.gps.caltech.edu
-Snail Mail:  Terrill Ray
-	     Division of Geological and Planetary Sciences
-	     Caltech
-	     Mail Code 170-25
+<p>
+A FAQ on Vegetation in Remote Sensing<br>
+Written by Terrill W. Ray, Div. of Geological and Planetary Sciences,
+California Institute of Technology, email: terrill@mars1.gps.caltech.edu
+<p>
+Snail Mail:  Terrill Ray<br>
+	     Division of Geological and Planetary Sciences<br>
+	     Caltech, Mail Code 170-25<br>
 	     Pasadena, CA  91125
-</pre>
 
 <h2>SEE ALSO</h2>
 
 <em>
-  <a href="i.albedo.html">i.albedo</a>
+<a href="i.albedo.html">i.albedo</a>
 </em>
 
 
 <h2>AUTHORS</h2>
 Baburao Kamble, Asian Institute of Technology, Thailand<br>
-Yann Chemin, Asian Institute of Technology, Thailand<br>
+Yann Chemin, Asian Institute of Technology, Thailand
 
 <p>
 <i>Last changed: $Date$</i>