The false color composite of PALSAR 50-m orthorectified mosaic imagery (R/G/B = HH/HV/HH-HV) in Southeast Asia in 2009.

<p>Country names were labeled as Myanmar (A), Thailand (B), Laos (C), Vietnam (D), Cambodia (E), Malaysia (F), Brunei (G), Indonesia (H), Philippines (I), Singapore (J), and East Timor (K). The inset graphs show forest, cropland, water body, and built-up land, respectively. The PALSAR 50-m mosaic data was unavailable in the West Papua and Papua regions.</p

The comparison between the three fractional forest maps at a spatial resolution of 1.5-km by 1.5-km gridcell: (<i>A</i>) PALSAR – MCD12Q1 and (<i>B</i>) PALSAR – GlobCover.

<p>The maps show the differences between two maps. The inset histograms show frequencies at various levels of difference between two maps. The scatter plots show the comparison in forest area at the sub-national level among PALSAR, MCD12Q1 and GlobCover in 2009. The data from the four provinces (Irian Jaya Barat, Maluku, Maluku Utara, and Papua) are excluded due to missing PALSAR data.</p

The resultant land cover map of Southeast Asia based on the PALSAR 50-m orthorectified mosaic data in 2009 and the decision tree algorithm.

<p>The resultant land cover map of Southeast Asia based on the PALSAR 50-m orthorectified mosaic data in 2009 and the decision tree algorithm.</p

The spatial distribution of geo-referenced field photos in the study area, as hosted in (<i>A</i>) the Global Geo-referenced Field Photo Library.

<p>The circle size indicates the number of the field photos. The figure also shows the search options, selected photos with GPS locations, and the link to extract the MODIS time series data. More information can be found in the data portal (<a href="http://www.eomf.ou.edu/photos" target="_blank">www.eomf.ou.edu/photos</a>). (<i>B</i>) The Regions of Interest (ROIs) used for the algorithm training and results validation, which were acquired by referring to the field photos shown in Fig. 2<i>A</i> and Google Earth.</p

The confusion matrix between PALSAR-based land cover classification in Southeast Asia and Regions of Interest (ROIs) by referring to field photos and Google Earth.

<p>The confusion matrix between PALSAR-based land cover classification in Southeast Asia and Regions of Interest (ROIs) by referring to field photos and Google Earth.</p

Visual interpretation and comparison of different land cover products in a region mixed with natural forest and oil palm plantation.

<p>A) the location of the case region in Borneo Island, Southeast Asia; B) the false color composited graph of Landsat 5 image (30 m, path/row = 117/56, R/G/B  =  Band NIR/Red/Green) on August 11, 2009; C) the false color composited graph of PALSAR image (R/G/B  =  HH, HV, HH/HV) in 2009; D) PALSAR-based land cover map (50 m) in 2009 from this study; E) GlobCover 2009 land cover map (300 m); and F) MCD12Q1 2009 land cover map (500 m). The differences of these three products in separating natural forest and oil palm plantation are obvious, MCD12Q1 considers oil palm plantation as forest, while GlobCover and PALSAR don't, and PALSAR has better performance in separating natural forest and oil palm plantation.</p

The spatial distribution of forest fragmentation in Southeast Asia with (<i>A</i>) 9×9 pixel window, (<i>B</i>) 21×21 pixel window, and (<i>C</i>) 101×101 pixel window.

<p>The stacked-bar histogram charts (<i>D</i>, <i>E</i>, and <i>F</i>) under the maps show the percent areas of five forest fragmentation categories corresponding with the forest fragmentation maps (<i>A</i>, <i>B</i>, and <i>C</i>).</p

The spatial distribution of forest cover in the Southeast Asia from (<i>A</i>) PALSAR 2009 forest map, (<i>B</i>) GlobCover 2009 forest map, and (<i>C</i>) MCD12Q1 2009 forest map.

<p>The blue box in <i>A</i> shows the region missing PALSAR data (the West Papua and Papua regions).</p

National forest area comparison among three forest maps from PALSAR, GlobCover, MCD12Q1 in 2009 as well as the statistical data of FAO FRA 2010 (Unit: ×10³ km²).

<p>National forest area comparison among three forest maps from PALSAR, GlobCover, MCD12Q1 in 2009 as well as the statistical data of FAO FRA 2010 (Unit: ×10³ km²).</p