array( '!username' => $variables['name'], '!datetime' => format_date($variables['node']->created, 'custom', 'F j, Y') ) ); } $variables['unpublished'] = (!$variables['status']) ? TRUE : FALSE; $variables['title_attributes_array']['class'][] = 'node-title'; } /** * Alters link url in calendar events block in order to filter events at /events * * @see template_preprocess_calendar_datebox() */ function cga_preprocess_calendar_datebox(&$vars) { $date = $vars['date']; $view = $vars['view']; $day_path = calendar_granularity_path($view, 'day'); $vars['url'] = 'calendar/day/' . $date; $vars['link'] = !empty($day_path) ? l($vars['day'], $vars['url']) : $vars['day']; } ?> Spectrometry | Center for Geographic Analysis, Harvard University
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Spectrometry

Spectrometry-derived Ecosystem Composition

Recent technological advances in remote sensing are moving terrestrial ecosystem monitoring beyond land cover change mapping, in the form of imaging spectrometry able to detect light intensity from tens to hundreds of contiguous spectral bands, providing more resolved information on ecosystem composition.

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