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Data download links:

2016

Congo Basin

  1. Detection day http://glad.geog.umd.edu/alarm/Africa_day_2016n.tif
  2. Confidence http://glad.geog.umd.edu/alarm/Africa_conf_2016n.tif
  3. Landsat composite http://glad.geog.umd.edu/alarm/africa_last.tif

Insular Southeast Asia

  1. Detection day http://glad.geog.umd.edu/alarm/SEA_day_2016n.tif
  2. Confidence http://glad.geog.umd.edu/alarm/SEA_conf_2016n.tif
  3. Landsat composite http://glad.geog.umd.edu/alarm/SEA_last.tif

Peru

  1. Detection day http://glad.geog.umd.edu/alarm/peru_day2016m.tif
  2. Confidence http://glad.geog.umd.edu/alarm/peru_conf2016m.tif
  3. Landsat composite http://glad.geog.umd.edu/alarm/last_peru_2016.tif

Brazil

  1. Detection day http://glad.geog.umd.edu/alarm/brazil_day2016.tif
  2. Confidence http://glad.geog.umd.edu/alarm/brazil_conf2016.tif
  3. Landsat composite part 1 http://glad.geog.umd.edu/alarm/brazil_last_q1_2016.tif
  4. Landsat composite part 2 http://glad.geog.umd.edu/alarm/brazil_last_q2_2016.tif
  5. Landsat composite part 3 http://glad.geog.umd.edu/alarm/brazil_last_q3_1_2016.tif
  6. Landsat composite part 4 http://glad.geog.umd.edu/alarm/brazil_last_q3_2_2016.tif
  7. Landsat composite part 5 http://glad.geog.umd.edu/alarm/brazil_last_q4_1_2016.tif
  8. Landsat composite part 6 http://glad.geog.umd.edu/alarm/brazil_last_q4_2_2016.tif

 

2017

Congo Basin

  1. Detection day http://glad.geog.umd.edu/alarm/Africa_day_2017n.tif
  2. Confidence http://glad.geog.umd.edu/alarm/Africa_conf_2017n.tif
  3. Landsat composite http://glad.geog.umd.edu/alarm/africa_last_2017.tif

Insular Southeast Asia

  1. Detection day http://glad.geog.umd.edu/alarm/SEA_day_2017n.tif
  2. Confidence http://glad.geog.umd.edu/alarm/SEA_conf_2017n.tif
  3. Landsat composite http://glad.geog.umd.edu/alarm/SEA_last_2017.tif

Peru

  1. Detection day http://glad.geog.umd.edu/alarm/peru_day2017m.tif
  2. Confidence http://glad.geog.umd.edu/alarm/peru_conf2017m.tif
  3. Landsat composite http://glad.geog.umd.edu/alarm/last_peru_2017.tif

Brazil

  1. Detection day http://glad.geog.umd.edu/alarm/brazil_day2017.tif
  2. Confidence http://glad.geog.umd.edu/alarm/brazil_conf2017.tif
  3. Landsat composite part 1 - http://glad.geog.umd.edu/alarm/brazil_last_q1_2017.tif
  4. Landsat composite part 2 - http://glad.geog.umd.edu/alarm/brazil_last_q2_2017.tif
  5. Landsat composite part 3  - http://glad.geog.umd.edu/alarm/brazil_last_q3_1_2017.tif
  6. Landsat composite part 4 - http://glad.geog.umd.edu/alarm/brazil_last_q3_2_2017.tif
  7. Landsat composite part 5 - http://glad.geog.umd.edu/alarm/brazil_last_q4_1_2017.tif
  8. Landsat composite part 6 - http://glad.geog.umd.edu/alarm/brazil_last_q4_2_2017.tif

Now GLAD Alert data can be used on a mobile device

  • You can use application like Locus Map (http://www.locusmap.eu/) or NextGIS mobile (http://nextgis.com/nextgis-mobile/).
  • To use GLAD Alert data in Locus Map download alerts.xml file (http://glad.geog.umd.edu/alarm/alerts.zip), copy it to /CARD_ROOT/Locus/mapsOnline/custom/ folder and reboot Locus Map.
  • Data can be saved for offline use via the "Download" option.
  • To overlay an administrative or landuse boundary, convert it to KML format and copy to /CARD_ROOT/Locus/mapItems/ folder.
  • To use GLAD Alert data in NextGIS mobile:
    • Click on menu button in upper left corner, click on add layer (+) button, select “Add geoservice” and type “Glad” in Search field. Than select “GLAD Alert forest loss” and “GLAD Alert last Landsat composite image”.

    • Alterative way:

      • To use GLAD Alert data in NextGIS mobile use function Add Layer>Add web and flowing parameters.
        • For forest loss detection layer:
          • Layer name - GLAD Alert loss
          • Layer URL - http://glad.geog.umd.edu/alarm/4C_2017_loss_mobile/{z}/{x}/{y}.png
          • Tile layer type - TMS (OSGeo spec.)
        • For last Landsat composite image:
          • Layer name - GLAD Alert composite
          • Layer URL - http://glad.geog.umd.edu/alarm/4C_2017_last_mobile/{z}/{x}/{y}.png
          • Tile layer type - TMS (OSGeo spec.)
  • Data can be saved for offline use via the "Download tiles" option.
  • To overlay an administrative or landuse boundary, convert it to GeoJSON format and open it using "Open local" function.

Video tutorial from NextGIS https://www.youtube.com/watch?v=TzLkF030Jrs

Later this year GFW mobile application will be available.