WMS A compliant implementation of WMS plus most of the SLD extension (dynamic styling). Can also generate PDF, SVG, KML, GeoRSS WFS WMS GEOSERVER EWMI-ODI

contact@ewmi-odi.org NONE NONE text/xml image/png application/atom+xml application/geopackage+sqlite3 application/json;type=geojson application/json;type=topojson application/json;type=utfgrid application/pdf application/rss+xml application/vnd.google-earth.kml+xml application/vnd.google-earth.kml+xml;mode=networklink application/vnd.google-earth.kmz application/vnd.mapbox-vector-tile application/x-sqlite3 image/geotiff image/geotiff8 image/gif image/jpeg image/png; mode=8bit image/svg+xml image/tiff image/tiff8 image/vnd.jpeg-png image/vnd.jpeg-png8 text/html; subtype=openlayers text/html; subtype=openlayers2 text/html; subtype=openlayers3 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml; subtype=gml/3.1.1 text/html text/javascript application/json XML INIMAGE BLANK JSON JSONP A compliant implementation of WMS plus most of the SLD extension (dynamic styling). Can also generate PDF, SVG, KML, GeoRSS EPSG:3148 EPSG:3246 EPSG:32647 EPSG:32648 EPSG:32649 EPSG:3857 EPSG:404000 EPSG:4326 EPSG:900913 CRS:84 -296104.6875 645836.25 -90.0 3223684.5 Aqua_Monitor_300m_Land http://aqua-monitor.appspot.com/ EPSG:4326 92.17253804236762 109.46331063110017 5.608182318758175 28.550256359886635 Aqua_Monitor_300m_Water http://aqua-monitor.appspot.com/ EPSG:4326 92.17253804236762 109.46331063110017 5.608182318758175 28.550256359886635 ODM_LandsatBaselayer EPSG:4326 89.86858391742189 111.57430206532337 5.087267936945518 30.054260724323886 South China Sea Combined layers for maritime boundaries of SE Asia and disputed area of the South China Sea. EPSG:4326 88.79875114634882 141.39999999999998 -13.942138889198304 42.426381469129524 0d62299f-6126-40f4-8836-f5ae64131947 features 0d62299f-6126-40f4-8836-f5ae64131947 EPSG:4326 CRS:84 98.9166946411133 103.358001708984 14.3299999237061 17.5486011505127 1e74f598-57fe-4ca3-b543-a6e7c0de1be4 features 1e74f598-57fe-4ca3-b543-a6e7c0de1be4 EPSG:4326 CRS:84 98.9166641235352 103.358306884766 14.3299999237061 17.5486106872559 1f48401c-6c01-4917-acc3-d428e36bb605 features 1f48401c-6c01-4917-acc3-d428e36bb605 EPSG:4326 CRS:84 102.186973571777 105.868537902832 15.0942230224609 19.9218406677246 2019.01.18_EWS_projects_Mekong_point features 2019.01.18_EWS_projects_Mekong_point EPSG:4326 CRS:84 96.16473175266185 105.8480683412422 11.55197598855841 21.035273107737055 286cca68-b84d-4151-b95f-d31ba7a9f640 features 286cca68-b84d-4151-b95f-d31ba7a9f640 EPSG:4326 CRS:84 97.8479995727539 104.742004394531 6.48617172241211 19.7939491271973 2a180700-bff4-4b72-a47b-e02ff9cfa909 features 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features 31b193ed-8a70-4be4-a71e-4d743e4144ea EPSG:4326 CRS:84 92.8983459472656 108.805046081543 6.83332967758179 26.0 68ecc5ba-f115-4ec1-9c4a-9f5cccb1e1b3 features 68ecc5ba-f115-4ec1-9c4a-9f5cccb1e1b3 EPSG:4326 CRS:84 97.8479995727539 104.742004394531 6.48617172241211 19.7939491271973 7c0f8345-c8a8-4b61-824a-42b391d6097f features Mekong_Hydro_Power_Dam_2020 EPSG:4326 CRS:84 92.652188 108.939722 6.141788 27.52594 9d9aebfa-c5dd-4701-9408-b4cf23bd5e90 features d58b74ba-27b3-4ebe-b386-538ac4f59b53 EPSG:4326 CRS:84 97.5484008789062 105.606018066406 5.71258354187012 20.4388465881348 AOI2_TerrEcoregions features 987b3c1b-ebff-4fd9-aca6-36c141d66e97 EPSG:3857 CRS:84 92.17260990759036 112.0574834748862 5.610065155191805 29.282084138712648 Agro-Ecological Regions of Myanmar features b973605e-a81c-47f0-8932-508852449105 EPSG:4326 CRS:84 -296104.6875 645836.25 1170625.625 3223684.5 Agro-Ecological Zones of Myanmar features 46f915a5-764a-4eea-a80a-3b506d546739 EPSG:4326 CRS:84 -296104.6875 645836.25 1170625.625 3223684.5 AirQuality_25032021 s5_202103 WCS GeoTIFF EPSG:4326 CRS:84 86.37301456809199 119.86220836006775 -6.4813447749223485 30.15644408789234 All_states_region_MVLine_tsp_level 11c5b162-218a-464e-9fe5-ee9d28dced41 features EPSG:4326 CRS:84 94.2074890136719 99.6034240722656 15.1958456039429 25.6654434204102 Assessment of undiscovered copper resources in Cambodia features 2029aec3-0483-4c6a-8626-f6250eaefb22 EPSG:32648 CRS:84 102.37461302597275 107.6423997362471 10.507011046490923 14.704156916001768 Bus Routes features 3950b2ad-5d8a-43cb-8f7b-0a3cabf0ce0d EPSG:4326 CRS:84 95.9283905029297 96.6333847045898 16.4398880004883 17.347972869873 Bus Stops features e593c3f1-7855-46ce-ad1a-11f3f8c54e81 EPSG:4326 CRS:84 95.9544067382812 96.5204925537109 16.6333122253418 17.350679397583 CAM_aqueduct_20150409 features 7ebc25c4-ffcf-4caf-b392-0d6ec400d47e EPSG:4326 CRS:84 102.335456848145 107.625015258789 10.4033641815186 14.6883783340454 CFi features 49a15ea9-aff0-475a-b68b-987768cb42d4 EPSG:32648 CRS:84 102.9940845566991 106.25913130336272 10.504919839981296 13.934043680035312 Canals in Cambodia (2008) bffcf123-ee88-46c2-939c-03aa70633170 features EPSG:32648 CRS:84 102.73269498102891 107.16323781250203 10.444190809037421 14.2790435564708 Cang features 83f0f637-e62d-45f8-9395-adbd80824b62 EPSG:4326 CRS:84 104.012985229492 109.418884277344 9.54392242431641 21.758716583252 Dams in Cambodia (2008) features 80740398-cd26-4a12-b85e-78fabd43c459 EPSG:32648 CRS:84 102.67047188997337 107.39557286162258 10.425181892971976 14.299890515175832 Domestic_Investments_2019 features e77ae566-87b7-401d-b389-feaea1538239 EPSG:4326 CRS:84 92.1719360351562 101.170082092285 9.5980224609375 28.5478363037109 Eastern plains protected landscape (EPL) in Cambodia features 2a6c22fb-c4fc-4cd7-8f17-6d0f2d385474 EPSG:32648 CRS:84 106.39965193027396 107.60558170532991 11.953936322286278 13.54927911587594 Electricity generation plants features 9729d89d-4a88-4c7e-845a-8afb535035a0 EPSG:32648 CRS:84 103.08544813604531 105.4578043194845 10.64252024496292 12.908397685561514 FEOWv1_TNC features 0ecd7f42-918c-4b93-87d8-9c64d144aefc EPSG:4326 CRS:84 -180.0 180.0 -90.0 83.6235961914062 FLASHFLOOD_TAMBON_OPD features aa23cad7-ffe0-43a4-91be-e9ac63b93f44 EPSG:32647 CRS:84 97.32458630227191 105.75035489080102 5.689944020111633 20.448339682952103 Giao_Thong_WGS84 features c6d01631-1ca7-468a-9b67-b6d395527879 EPSG:4326 CRS:84 102.907287597656 109.398544311523 8.64191341400146 23.2791023254395 Global_Critical_Habitat Global_Critical_Habitat WCS GeoTIFF EPSG:3857 CRS:84 92.17157624168851 109.47312861383048 5.623136217898875 28.54587391479387 Global_Lakes_and_Wetlands w001001 WCS AIG EPSG:404000 CRS:84 -180.0000010174699 180.0000177579932 -90.00000837026164 90.00000101746991 Global_Surface_Water_Extend extend WCS ImageMosaic EPSG:4326 CRS:84 90.0 110.0 0.0 30.0 Globcover2009_V2.3_LMR Mekong_GLOBCOVER_L4 WCS GeoTIFF EPSG:4326 CRS:84 92.17361111111111 109.47083333333333 5.631944444444432 28.540277777777767 Hansen_GFC-2016-v1.4_lossyear_Mekong Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this study, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year. Brazil’s well-documented reduction in deforestation was offset by increasing forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and elsewhere. Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally. Boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms. These results depict a globally consistent and locally relevant record of forest change. WCS GeoTIFF Hansen_GFC-2016-v1.4_lossyear_Mekong forest change forest cover loss EPSG:4326 CRS:84 90.0 110.0 0.0 30.0 text/plain Hansen_GFC-2016-v1.4_treecover2000_Mekong Tree canopy cover for year 2000 (treecover2000) Tree cover in the year 2000, defined as canopy closure for all vegetation taller than 5m in height. Encoded as a percentage per output grid cell, in the range 0–100. 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107.604293823242 10.4173450469971 14.5866413116455 KH_TerrEcoregions features 64cb7752-c0e3-40a7-90bf-9b6b633bd34a EPSG:4326 CRS:84 102.335456848145 107.625015258789 10.2735996246338 14.6883783340454 L10_ProtectedArea_MNRE_50k features 81d5df27-fb56-4f82-aca2-4bc9f7387d07 EPSG:3857 CRS:84 97.34346539658061 105.63701752676863 5.732751471177013 20.397155282264574 LAO_GMS_SEZ_CBEZ features f3c60d91-cdfb-4747-addf-30acd88a5fc6 EPSG:4326 CRS:84 100.407012939453 104.973625183105 16.5994911193848 21.1842021942139 LAO_airport2015 features 907e8138-0a4f-4b76-adc2-abcc5dd4b8dd EPSG:4326 CRS:84 100.436996459961 105.78141784668 15.1320524215698 20.9605560302734 LAO_aqueduct_20150409 features 69a8d95c-b8ac-498d-a2ca-4e3c15e2859c EPSG:4326 CRS:84 100.084732055664 107.635711669922 13.9102363586426 22.4960441589355 LAO_rivers features 9ddda7f5-4ee5-4ad9-a91e-f1b3055ab67d EPSG:4326 CRS:84 100.085411071777 107.51042175293 13.9255084991455 22.3458347320557 LA_TerrEcoregions features 38952644-24f9-4b6c-a042-dd36a4331936 EPSG:4326 CRS:84 100.084732055664 107.635711669922 13.9102363586426 22.5089263916016 LA_UrbanAreas features 5bbd5603-4958-4c6c-8c93-da28c695491f EPSG:4326 CRS:84 102.10131072998 105.841873168945 15.1026630401611 19.9154396057129 LandCover2021_Laos LandCover2021_Laos WCS ImageMosaic EPSG:4326 CRS:84 100.08316666666667 107.635 13.909833333333333 22.509166666666665 Landcover2021_Cambodia Landcover2021_Cambodia WCS ImageMosaic EPSG:4326 CRS:84 102.33558333333333 107.62991666666667 9.913666666666668 14.688166666666667 Landcover2021_Myanmar Landcover2021_Myanmar WCS ImageMosaic EPSG:4326 CRS:84 92.18925 101.17683333333333 8.824416666666666 28.543333333333333 Landcover2021_Thailand Landcover2021_Thailand WCS ImageMosaic EPSG:4326 CRS:84 97.34341666666667 105.63691666666666 5.613083333333332 20.465 Landfill_sites features e897a705-82ba-43bc-8891-2d3b839d17bd EPSG:4326 CRS:84 97.6970825195312 105.604721069336 6.61993885040283 20.4017772674561 LandsatMaskMekong features LandsatMaskMekong EPSG:4326 CRS:84 89.86858391742189 111.57430206532337 5.087267936945518 30.054260724323886 Lao_Population_and_Education_2019 e6789063-fae3-4845-94ab-13d947a61ca3 features EPSG:4326 CRS:84 100.083129882812 107.635070800781 13.9098234176636 22.5092086791992 Laos_Census_2015 u_pop_density features Laos_Population_Census_2015 EPSG:4326 CRS:84 100.08313145141692 107.63504023994705 13.90982430657472 22.509206813176036 Laos_Laos_Roads features d270ec4d-681a-44f3-8034-1719b1fd25db EPSG:4326 CRS:84 100.086380004883 107.556686401367 14.0007219314575 22.4826374053955 Laos_Population_Census_2015 u_water_source_main features Laos_Population_Census_2015 EPSG:4326 CRS:84 100.08313145141692 107.63504023994705 13.90982430657472 22.509206813176036 Laos_Population_Census_2015 u_energy_cooking_type_main features Laos_Population_Census_2015 EPSG:4326 CRS:84 100.08313145141692 107.63504023994705 13.90982430657472 22.509206813176036 Laos_Population_Census_2015 u_eth_cat features Laos_Population_Census_2015 EPSG:4326 CRS:84 100.08313145141692 107.63504023994705 13.90982430657472 22.509206813176036 Laos_Population_Census_2015 u_hhs_head_f_pct features Laos_Population_Census_2015 EPSG:4326 CRS:84 100.08313145141692 107.63504023994705 13.90982430657472 22.509206813176036 Laos_Population_Census_2015 u_hhs_w_electricity_pct features Laos_Population_Census_2015 EPSG:4326 CRS:84 100.08313145141692 107.63504023994705 13.90982430657472 22.509206813176036 Laos_Population_Census_2015 u_hhs_with_disabled features Laos_Population_Census_2015 EPSG:4326 CRS:84 100.08313145141692 107.63504023994705 13.90982430657472 22.509206813176036 Laos_Population_Census_2015 u_hhs_with_farm_land_pct features Laos_Population_Census_2015 EPSG:4326 CRS:84 100.08313145141692 107.63504023994705 13.90982430657472 22.509206813176036 Laos_Population_Census_2015 u_literacy_rate_pct features Laos_Population_Census_2015 EPSG:4326 CRS:84 100.08313145141692 107.63504023994705 13.90982430657472 22.509206813176036 Laos_Population_Census_2015 u_literacy_sex_ratio features Laos_Population_Census_2015 EPSG:4326 CRS:84 100.08313145141692 107.63504023994705 13.90982430657472 22.509206813176036 Laos_Population_Census_2015 u_pop_activity_unemployed features Laos_Population_Census_2015 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 Laos_Population_Census_2015 u_pop_econ_active_pct features Laos_Population_Census_2015 EPSG:4326 CRS:84 100.08313145141692 107.63504023994705 13.90982430657472 22.509206813176036 Laos_Population_Census_2015 u_poverty_incidence features Laos_Population_Census_2015 EPSG:4326 CRS:84 100.08313145141692 107.63504023994705 13.90982430657472 22.509206813176036 Laos_Population_Census_2015 u_sex_ratio features Laos_Population_Census_2015 EPSG:4326 CRS:84 100.08313145141692 107.63504023994705 13.90982430657472 22.509206813176036 Laos_Population_Census_2015 u_toilet_type_main features Laos_Population_Census_2015 EPSG:4326 CRS:84 100.08313145141692 107.63504023994705 13.90982430657472 22.509206813176036 MMR_GMS_SEZ_CBEZ features 6d4955fc-d019-4766-b558-cf1b0020ef74 EPSG:4326 CRS:84 94.0525588989258 98.6102142333984 12.4160823822021 23.8374080657959 MMR_GMS_soil features 86ba7822-a390-4f83-99e3-e9f9c13e2c98 EPSG:4326 CRS:84 92.1892318725586 101.170234680176 9.87821388244629 28.546745300293 MMR_MangroveUSGS2011 features 1e9a5e3c-f978-4996-b7b7-6fd8c895ca49 EPSG:4326 CRS:84 92.1959228515625 98.9320220947266 9.84923648834229 21.1794204711914 MM_AgroEcoRegions features 0441336b-63ee-425c-90e3-5cc62ded46af EPSG:4326 CRS:84 92.1704406738281 101.171569824219 10.001594543457 28.5448741912842 MM_AgroEcoZones features 466abce8-ef7c-42bb-b6bf-265096b918e8 EPSG:4326 CRS:84 92.1704406738281 101.171569824219 10.001594543457 28.5448741912842 MM_TerrEcoregions features e8f033a5-9075-4da7-b9d9-3cb9fa5bc365 EPSG:4326 CRS:84 92.1726150512695 101.170234680176 9.60583114624023 28.5483169555664 MODIS_250m_watermask WCS GeoTIFF MODIS_250m_watermask 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28.545539855957 hydrobasin_L3_mekong features hydrobasin_L3_mekong hydrobasins EPSG:4326 CRS:84 91.14999999999964 112.74583333333283 1.1666666666666807 33.8208333333328 hydrobasin_L6_SE-ASIA features hydrobasin_L6_SE-ASIA hydrobasins EPSG:4326 CRS:84 91.14999999999964 112.74583333333271 1.1666666666666807 33.8208333333328 hydropower-dam-in-myanmar-2017 features 32fdb297-3cd3-4682-a64f-5c829f1c0fd1 EPSG:4326 CRS:84 92.6521835327148 100.720932006836 10.7752084732056 27.5259418487549 jrc-change-LMR-small The Occurrence Change Intensity map provides information on where surface water occurrence increased, decreased or remained the same between 1984-1999 and 2000-2015. Both the direction of change and its intensity are documented. WCS GeoTIFF jrc-change-LMR-small hydrology surface water EPSG:4326 CRS:84 90.0 110.0 0.0 30.0 text/plain jrc-occurrence-LMR-small Change in water occurrence intensity between two epochs (16 March 1984 to 31 December 1999, and 1 January 2000 to 10 October 2015) was also produced. This is derived from homologous pairs of months (that is, the same months contain valid observations in both epochs). The occurrence difference between epochs was computed for each pair and differences between all homologous pairs of months were then averaged to create the surface water occurrence change intensity map. Areas where there are no pairs of homologue months could not be mapped. The averaging of the monthly processing mitigates variations in data distribution over time (that is, both seasonal variation in the distribution of valid observations, temporal depth and frequency of observations through the archive) and provides a consistent estimation of the water occurrence change. An example of the Occurrence Change Intensity dataset is shown below for the Brahmaputra River. Increases in water occurrence are shown in green and decreases are shown in red. Black areas are those areas where there is no significant change in the water occurrence during the 1984 -2015 period. The intensity of the color represents the degree of change (as a percentage). For example, bright red areas show greater loss of water than light red areas. Some areas appear grey in the maps, these are locations where there is insufficient data to compute meaningful change statistics. 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