Digital Earth Pacific Web Services TODO... Digital Earth Pacific OGC WMTS 1.0.0 none none Digital Earth Pacific TODO TODO TODO TODO TODO TODO New Caledonia TODO KVP KVP KVP Sentinel-2 L2A TODO -180.0 -30.821320217 180.0 15.377139587 sentinel_2_c1_l2a image/png application/json Time Date 2025-01-01 2025-01-02 2025-01-03 2025-01-04 2025-01-05 2025-01-06 2025-01-07 2025-01-08 2025-01-09 2025-01-10 2025-01-11 2025-01-12 2025-01-13 2025-01-14 2025-01-15 2025-01-16 2025-01-17 2025-01-18 2025-01-19 2025-01-20 2025-01-21 2025-01-22 2025-01-23 2025-01-24 2025-01-25 2025-01-26 2025-01-27 2025-01-28 2025-01-29 2025-01-30 2025-01-31 2025-02-01 2025-02-02 2025-02-03 2025-02-04 2025-02-05 2025-02-06 2025-02-07 2025-02-08 2025-02-09 2025-02-10 2025-02-11 2025-02-12 2025-02-13 2025-02-14 2025-02-15 2025-02-16 2025-02-17 2025-02-18 2025-02-19 2025-02-20 2025-02-21 2025-02-22 2025-02-23 2025-02-24 2025-02-25 2025-02-26 2025-02-27 2025-02-28 2025-03-01 2025-03-02 2025-03-03 2025-03-04 2025-03-05 2025-03-06 2025-03-07 2025-03-08 2025-03-09 2025-03-10 2025-03-11 2025-03-12 2025-03-13 2025-03-14 2025-03-15 2025-03-16 2025-03-17 2025-03-18 2025-03-19 2025-03-20 2025-03-21 2025-03-22 2025-03-23 2025-03-24 2025-03-25 2025-03-26 2025-03-27 2025-03-28 2025-03-29 2025-03-30 2025-03-31 2025-04-01 2025-04-02 2025-04-03 2025-04-04 2025-04-05 2025-04-06 2025-04-07 2025-04-08 2025-04-09 2025-04-10 2025-04-11 2025-04-12 2025-04-13 2025-04-14 2025-04-15 2025-04-16 2025-04-17 2025-04-18 2025-04-19 2025-04-20 2025-04-21 2025-04-22 2025-04-23 2025-04-24 2025-04-25 2025-04-26 2025-04-27 2025-04-28 2025-04-29 2025-04-30 2025-05-01 2025-05-02 2025-05-03 2025-05-04 2025-05-05 2025-05-06 2025-05-07 2025-05-08 2025-05-09 2025-05-10 2025-05-11 2025-05-12 2025-05-13 2025-05-14 2025-05-15 2025-05-16 2025-05-17 2025-05-18 2025-05-19 2025-05-20 2025-05-21 2025-05-22 2025-05-23 2025-05-24 2025-05-25 2025-05-26 2025-05-27 2025-05-28 2025-05-29 2025-05-30 2025-05-31 2025-06-01 2025-06-02 2025-06-03 2025-06-04 2025-06-05 2025-06-06 2025-06-07 2025-06-08 2025-06-09 2025-06-10 2025-06-11 2025-06-12 2025-06-13 2025-06-14 2025-06-15 2025-06-16 2025-06-17 2025-06-18 2025-06-19 2025-06-20 2025-06-21 2025-06-22 2025-06-23 2025-06-24 2025-06-25 2025-06-26 2025-06-27 2025-06-28 2025-06-29 2025-06-30 2025-07-01 2025-07-02 2025-07-03 2025-07-04 2025-07-05 2025-07-06 2025-07-07 2025-07-08 2025-07-09 2025-07-10 2025-07-11 2025-07-12 2025-07-13 2025-07-14 2025-07-15 2025-07-16 2025-07-17 2025-07-18 2025-07-19 2025-07-20 2025-07-21 2025-07-22 2025-07-25 2025-07-26 2025-07-27 2025-07-28 2025-07-29 2025-07-30 2025-07-31 2025-08-01 2025-08-02 2025-08-03 2025-08-04 2025-08-05 2025-08-06 2025-08-07 2025-08-08 2025-08-09 2025-08-10 2025-08-11 2025-08-12 2025-08-13 2025-08-14 2025-08-15 2025-08-16 2025-08-17 2025-08-18 2025-08-19 2025-08-20 2025-08-21 2025-08-22 2025-08-23 2025-08-24 2025-08-25 2025-08-26 2025-08-27 2025-08-28 2025-08-29 2025-08-30 2025-08-31 2025-09-01 2025-09-02 2025-09-03 2025-09-04 2025-09-05 2025-09-06 2025-09-07 2025-09-08 2025-09-09 2025-09-10 2025-09-11 2025-09-12 2025-09-13 2025-09-14 2025-09-15 2025-09-16 2025-09-17 2025-09-18 2025-09-19 2025-09-20 2025-09-21 2025-09-22 2025-09-23 2025-09-24 2025-09-25 2025-09-26 2025-09-27 2025-09-28 2025-09-29 2025-09-30 2025-10-01 2025-10-02 2025-10-03 2025-10-04 2025-10-05 2025-10-06 2025-10-07 2025-10-08 2025-10-09 2025-10-10 2025-10-11 2025-10-12 2025-10-13 2025-10-14 2025-10-15 2025-10-16 2025-10-17 2025-10-18 2025-10-19 2025-10-20 2025-10-21 2025-10-22 2025-10-23 2025-10-24 2025-10-25 2025-10-26 2025-10-27 2025-10-28 2025-10-29 2025-10-30 2025-10-31 2025-11-01 2025-11-02 2025-11-03 2025-11-04 2025-11-05 2025-11-06 2025-11-07 2025-11-08 2025-11-09 2025-11-10 2025-11-11 2025-11-12 2025-11-13 2025-11-14 2025-11-15 2025-11-16 2025-11-17 2025-11-18 2025-11-19 2025-11-20 2025-11-21 2025-11-22 2025-11-23 2025-11-24 2025-11-25 2025-11-26 2025-11-27 2025-11-28 2025-11-29 2025-11-30 2025-12-01 2025-12-02 2025-12-03 2025-12-04 2025-12-05 2025-12-06 2025-12-07 2025-12-08 2025-12-09 2025-12-10 2025-12-11 2025-12-12 2025-12-13 2025-12-14 2025-12-15 2025-12-16 2025-12-17 2025-12-18 2025-12-19 2025-12-20 2025-12-21 2025-12-22 2025-12-23 2025-12-24 2025-12-25 2025-12-26 2025-12-27 2025-12-28 2025-12-29 2025-12-30 2025-12-31 2026-01-01 2026-01-02 2026-01-03 2026-01-04 2026-01-05 2026-01-06 2026-01-07 2026-01-08 2026-01-09 2026-01-10 2026-01-11 2026-01-12 2026-01-13 2026-01-14 2026-01-15 2026-01-16 2026-01-17 2026-01-18 2026-01-19 2026-01-20 2026-01-21 2026-01-22 2026-01-23 2026-01-24 2026-01-25 2026-01-26 2026-01-27 2026-01-28 2026-01-29 2026-01-30 2026-01-31 2026-02-01 2026-02-02 2026-02-03 2026-02-04 2026-02-05 2026-02-06 2026-02-07 2026-02-08 2026-02-09 2026-02-10 2026-02-11 2026-02-12 2026-02-13 2026-02-14 2026-02-15 2026-02-16 2026-02-17 2026-02-18 2026-02-19 2026-02-20 2026-02-21 2026-02-22 2026-02-23 2026-02-24 2026-02-25 2026-02-26 2026-02-27 2026-02-28 2026-03-01 2026-03-02 2026-03-03 2026-03-04 2026-03-05 2026-03-06 2026-03-07 2026-03-08 2026-03-09 2026-03-10 2026-03-11 2026-03-12 2026-03-13 2026-03-14 2026-03-15 2026-03-16 2026-03-17 2026-03-18 2026-03-19 2026-03-20 2026-03-21 2026-03-22 2026-03-23 2026-03-24 2026-03-25 2026-03-26 2026-03-27 2026-03-28 2026-03-29 2026-03-30 2026-03-31 2026-04-01 2026-04-02 2026-04-02 WholeWorld_WebMercator Landsat 5 C2L2 TODO -180.0 -31.802388969 180.0 16.948625376 ls5_c2l2_sr image/png application/json Time Date 1984-06-12 1984-07-15 1984-07-30 1984-10-02 1984-11-19 1986-08-16 1986-08-17 1986-08-18 1986-08-19 1986-08-20 1986-08-21 1986-08-22 1986-08-23 1986-08-25 1986-08-26 1986-08-27 1986-09-01 1987-02-20 1987-05-20 1987-05-22 1987-05-23 1987-05-24 1987-05-25 1987-05-26 1987-05-27 1987-05-28 1987-05-29 1987-05-30 1987-05-31 1987-06-01 1987-06-08 1987-06-10 1987-06-15 1987-06-24 1987-06-26 1987-07-01 1987-07-10 1987-07-12 1987-07-13 1987-07-14 1987-07-16 1987-07-17 1987-07-18 1987-07-20 1987-07-21 1987-07-26 1987-07-27 1987-07-28 1987-07-31 1987-08-02 1987-08-18 1987-08-22 1987-08-23 1987-08-25 1987-09-01 1987-09-02 1987-09-03 1987-09-04 1987-09-05 1987-09-06 1987-09-07 1987-09-08 1987-09-09 1987-09-10 1987-09-11 1987-09-12 1987-09-13 1987-09-14 1987-09-15 1987-09-16 1987-09-17 1987-09-18 1987-09-19 1987-09-20 1987-09-21 1987-09-22 1987-09-23 1987-09-24 1987-09-25 1987-09-26 1987-09-27 1987-09-28 1987-09-29 1987-09-30 1987-10-01 1987-10-02 1987-10-03 1987-10-04 1987-10-05 1987-10-06 1987-10-07 1987-10-08 1987-10-09 1987-10-10 1987-10-11 1987-10-12 1987-10-13 1987-10-14 1987-10-15 1987-10-16 1987-10-17 1987-10-18 1987-10-19 1987-10-20 1987-10-21 1987-10-22 1987-10-23 1987-10-24 1987-10-25 1987-10-26 1987-10-27 1987-10-30 1987-10-31 1987-11-01 1987-11-03 1987-11-04 1987-11-05 1987-11-06 1987-11-07 1987-11-08 1987-11-09 1987-11-10 1987-11-11 1987-11-12 1987-11-13 1987-11-14 1987-11-15 1987-11-17 1987-11-18 1987-11-19 1987-11-20 1987-11-21 1987-11-22 1987-11-23 1987-11-24 1987-11-25 1987-11-26 1987-11-27 1987-11-28 1987-11-29 1987-11-30 1987-12-01 1987-12-02 1987-12-03 1987-12-04 1987-12-05 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2023-12-10 2023-12-12 2023-12-13 2023-12-14 2023-12-15 2023-12-16 2023-12-17 2023-12-18 2023-12-19 2023-12-20 2023-12-21 2023-12-22 2023-12-23 2023-12-24 2023-12-25 2023-12-26 2023-12-27 2023-12-28 2023-12-29 2023-12-30 2023-12-31 2024-01-01 2024-01-02 2024-01-03 2024-01-04 2024-01-05 2024-01-06 2024-01-07 2024-01-08 2024-01-09 2024-01-10 2024-01-11 2024-01-12 2024-01-13 2024-01-14 2024-01-15 2024-01-16 2024-01-17 2024-01-18 2024-01-19 2024-01-19 WholeWorld_WebMercator Landsat 8 C2L2 TODO -180.0 -90.0 180.0 90.0 ls8_c2l2_sr image/png application/json Time Date 2013-03-19 2013-03-22 2013-03-24 2013-03-25 2013-03-26 2013-03-27 2013-03-28 2013-03-29 2013-03-30 2013-03-31 2013-04-01 2013-04-02 2013-04-03 2013-04-04 2013-04-05 2013-04-06 2013-04-07 2013-04-08 2013-04-09 2013-04-10 2013-04-11 2013-04-12 2013-04-13 2013-04-14 2013-04-15 2013-04-16 2013-04-17 2013-04-18 2013-04-19 2013-04-20 2013-04-21 2013-04-22 2013-04-23 2013-04-24 2013-04-25 2013-04-26 2013-04-27 2013-04-28 2013-04-29 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2025-07-27 2025-07-28 2025-07-29 2025-07-30 2025-07-31 2025-08-01 2025-08-02 2025-08-03 2025-08-04 2025-08-05 2025-08-06 2025-08-07 2025-08-08 2025-08-09 2025-08-10 2025-08-11 2025-08-12 2025-08-13 2025-08-14 2025-08-15 2025-08-16 2025-08-17 2025-08-18 2025-08-19 2025-08-20 2025-08-21 2025-08-22 2025-08-23 2025-08-24 2025-08-25 2025-08-26 2025-08-27 2025-08-28 2025-08-29 2025-08-30 2025-08-31 2025-09-01 2025-09-02 2025-09-03 2025-09-04 2025-09-05 2025-09-06 2025-09-07 2025-09-08 2025-09-09 2025-09-10 2025-09-11 2025-09-12 2025-09-13 2025-09-14 2025-09-15 2025-09-16 2025-09-17 2025-09-18 2025-09-19 2025-09-20 2025-09-21 2025-09-22 2025-09-23 2025-09-24 2025-09-25 2025-09-26 2025-09-27 2025-09-28 2025-09-29 2025-09-30 2025-12-13 2025-12-14 2026-01-03 2026-01-11 2026-01-12 2026-01-18 2026-02-01 2026-02-02 2026-02-17 2026-02-24 2026-03-03 2026-03-04 2026-03-10 2026-03-11 2026-03-12 2026-03-12 WholeWorld_WebMercator Landsat 9 C2L2 TODO -180.0 -31.395150402 180.0 16.953534847 ls9_c2l2_sr image/png application/json Time Date 2024-01-01 2024-01-02 2024-01-03 2024-01-04 2024-01-05 2024-01-06 2024-01-07 2024-01-08 2024-01-09 2024-01-10 2024-01-11 2024-01-12 2024-01-13 2024-01-14 2024-01-15 2024-01-16 2024-01-17 2024-01-18 2024-01-19 2024-01-20 2024-01-21 2024-01-22 2024-01-23 2024-01-24 2024-01-25 2024-01-26 2024-01-27 2024-01-28 2024-01-29 2024-01-30 2024-01-31 2024-02-01 2024-02-02 2024-02-03 2024-02-04 2024-02-05 2024-02-06 2024-02-07 2024-02-08 2024-02-09 2024-02-10 2024-02-11 2024-02-12 2024-02-13 2024-02-14 2024-02-15 2024-02-16 2024-02-17 2024-02-18 2024-02-19 2024-02-20 2024-02-21 2024-02-22 2024-02-23 2024-02-24 2024-02-25 2024-02-26 2024-02-27 2024-02-28 2024-02-29 2024-03-01 2024-03-02 2024-03-03 2024-03-04 2024-03-05 2024-03-06 2024-03-07 2024-03-08 2024-03-09 2024-03-10 2024-03-11 2024-03-12 2024-03-13 2024-03-14 2024-03-15 2024-03-16 2024-03-17 2024-03-18 2024-03-19 2024-03-20 2024-03-21 2024-03-22 2024-03-23 2024-03-24 2024-03-25 2024-03-26 2024-03-27 2024-03-28 2024-03-29 2024-03-30 2024-03-31 2024-04-01 2024-04-02 2024-04-03 2024-04-04 2024-04-05 2024-04-06 2024-04-07 2024-04-08 2024-04-09 2024-04-10 2024-04-11 2024-04-12 2024-04-13 2024-04-14 2024-04-15 2024-04-16 2024-04-17 2024-04-18 2024-04-19 2024-04-20 2024-04-21 2024-04-22 2024-04-23 2024-04-24 2024-04-25 2024-04-26 2024-04-27 2024-04-28 2024-04-29 2024-04-30 2024-05-01 2024-05-02 2024-05-03 2024-05-04 2024-05-05 2024-05-06 2024-05-07 2024-05-08 2024-05-09 2024-05-10 2024-05-11 2024-05-12 2024-05-13 2024-05-14 2024-05-15 2024-05-16 2024-05-17 2024-05-18 2024-05-19 2024-05-20 2024-05-21 2024-05-22 2024-05-23 2024-05-24 2024-05-25 2024-05-26 2024-05-27 2024-05-28 2024-05-29 2024-05-30 2024-05-31 2024-06-01 2024-06-02 2024-06-03 2024-06-04 2024-06-05 2024-06-06 2024-06-07 2024-06-08 2024-06-09 2024-06-10 2024-06-11 2024-06-12 2024-06-13 2024-06-14 2024-06-15 2024-06-16 2024-06-17 2024-06-18 2024-06-19 2024-06-20 2024-06-21 2024-06-22 2024-06-23 2024-06-24 2024-06-25 2024-06-26 2024-06-27 2024-06-28 2024-06-29 2024-06-30 2024-07-01 2024-07-02 2024-07-03 2024-07-04 2024-07-05 2024-07-06 2024-07-07 2024-07-08 2024-07-09 2024-07-10 2024-07-11 2024-07-12 2024-07-13 2024-07-14 2024-07-15 2024-07-16 2024-07-17 2024-07-18 2024-07-19 2024-07-20 2024-07-21 2024-07-22 2024-07-23 2024-07-24 2024-07-25 2024-07-26 2024-07-27 2024-07-28 2024-07-29 2024-07-30 2024-07-31 2024-08-01 2024-08-02 2024-08-03 2024-08-04 2024-08-05 2024-08-06 2024-08-07 2024-08-08 2024-08-09 2024-08-10 2024-08-11 2024-08-12 2024-08-13 2024-08-14 2024-08-15 2024-08-16 2024-08-17 2024-08-18 2024-08-19 2024-08-20 2024-08-21 2024-08-22 2024-08-23 2024-08-24 2024-08-25 2024-08-26 2024-08-27 2024-08-28 2024-08-29 2024-08-30 2024-08-31 2024-09-01 2024-09-02 2024-09-03 2024-09-04 2024-09-05 2024-09-06 2024-09-07 2024-09-08 2024-09-09 2024-09-10 2024-09-11 2024-09-12 2024-09-13 2024-09-14 2024-09-15 2024-09-16 2024-09-17 2024-09-18 2024-09-19 2024-09-20 2024-09-21 2024-09-22 2024-09-23 2024-09-24 2024-09-25 2024-09-26 2024-09-27 2024-09-28 2024-09-29 2024-09-30 2024-10-01 2024-10-02 2024-10-03 2024-10-04 2024-10-05 2024-10-06 2024-10-07 2024-10-08 2024-10-09 2024-10-10 2024-10-11 2024-10-12 2024-10-13 2024-10-14 2024-10-15 2024-10-16 2024-10-17 2024-10-18 2024-10-19 2024-10-20 2024-10-21 2024-10-22 2024-10-23 2024-10-24 2024-10-25 2024-10-26 2024-10-27 2024-10-28 2024-10-29 2024-10-30 2024-10-31 2024-11-01 2024-11-02 2024-11-03 2024-11-04 2024-11-05 2024-11-06 2024-11-07 2024-11-08 2024-11-09 2024-11-10 2024-11-11 2024-11-12 2024-11-13 2024-11-14 2024-11-15 2024-11-16 2024-11-17 2024-11-18 2024-11-19 2024-11-20 2024-11-21 2024-11-22 2024-11-23 2024-11-24 2024-11-25 2024-11-26 2024-11-27 2024-11-28 2024-11-29 2024-11-30 2024-12-01 2024-12-02 2024-12-03 2024-12-04 2024-12-05 2024-12-06 2024-12-07 2024-12-08 2024-12-09 2024-12-10 2024-12-11 2024-12-12 2024-12-13 2024-12-14 2024-12-15 2024-12-16 2024-12-17 2024-12-18 2024-12-19 2024-12-20 2024-12-21 2024-12-22 2024-12-23 2024-12-24 2024-12-25 2024-12-26 2024-12-27 2024-12-28 2024-12-29 2024-12-30 2024-12-31 2025-01-01 2025-01-02 2025-01-03 2025-01-04 2025-01-05 2025-01-06 2025-01-07 2025-01-08 2025-01-09 2025-01-10 2025-01-11 2025-01-12 2025-01-13 2025-01-14 2025-01-15 2025-01-16 2025-01-17 2025-01-19 2025-01-20 2025-01-21 2025-01-22 2025-01-23 2025-01-24 2025-01-25 2025-01-26 2025-01-27 2025-01-28 2025-01-29 2025-01-30 2025-01-31 2025-02-01 2025-02-02 2025-02-03 2025-02-04 2025-02-05 2025-02-06 2025-02-07 2025-02-08 2025-02-09 2025-02-10 2025-02-11 2025-02-12 2025-02-13 2025-02-14 2025-02-15 2025-02-16 2025-02-17 2025-02-18 2025-02-19 2025-02-20 2025-02-21 2025-02-22 2025-02-23 2025-02-24 2025-02-25 2025-02-26 2025-02-27 2025-02-28 2025-03-01 2025-03-02 2025-03-03 2025-03-04 2025-03-05 2025-03-06 2025-03-07 2025-03-08 2025-03-09 2025-03-10 2025-03-11 2025-03-12 2025-03-13 2025-03-14 2025-03-15 2025-03-16 2025-03-17 2025-03-18 2025-03-19 2025-03-20 2025-03-21 2025-03-22 2025-03-23 2025-03-24 2025-03-25 2025-03-26 2025-03-27 2025-03-28 2025-03-29 2025-03-30 2025-03-31 2025-04-01 2025-04-02 2025-04-03 2025-04-04 2025-04-05 2025-04-06 2025-04-07 2025-04-08 2025-04-09 2025-04-10 2025-04-11 2025-04-12 2025-04-13 2025-04-14 2025-04-15 2025-04-16 2025-04-17 2025-04-18 2025-04-19 2025-04-20 2025-04-21 2025-04-22 2025-04-23 2025-04-24 2025-04-25 2025-04-26 2025-04-27 2025-04-28 2025-04-29 2025-04-30 2025-05-01 2025-05-02 2025-05-03 2025-05-04 2025-05-05 2025-05-06 2025-05-07 2025-05-08 2025-05-09 2025-05-10 2025-05-11 2025-05-12 2025-05-13 2025-05-14 2025-05-15 2025-05-16 2025-05-17 2025-05-18 2025-05-19 2025-05-20 2025-05-21 2025-05-22 2025-05-23 2025-05-24 2025-05-25 2025-05-26 2025-05-27 2025-05-28 2025-05-29 2025-05-30 2025-05-31 2025-06-01 2025-06-02 2025-06-03 2025-06-04 2025-06-05 2025-06-06 2025-06-07 2025-06-08 2025-06-09 2025-06-10 2025-06-11 2025-06-12 2025-06-13 2025-06-14 2025-06-15 2025-06-16 2025-06-17 2025-06-18 2025-06-19 2025-06-20 2025-06-21 2025-06-22 2025-06-23 2025-06-24 2025-06-25 2025-06-26 2025-06-27 2025-06-28 2025-06-29 2025-06-30 2025-07-01 2025-07-02 2025-07-03 2025-07-04 2025-07-05 2025-07-06 2025-07-07 2025-07-08 2025-07-09 2025-07-10 2025-07-11 2025-07-12 2025-07-13 2025-07-14 2025-07-15 2025-07-16 2025-07-17 2025-07-18 2025-07-19 2025-07-20 2025-07-21 2025-07-22 2025-07-23 2025-07-24 2025-07-25 2025-07-26 2025-07-27 2025-07-28 2025-07-29 2025-07-30 2025-07-31 2025-08-01 2025-08-02 2025-08-03 2025-08-04 2025-08-05 2025-08-06 2025-08-07 2025-08-08 2025-08-09 2025-08-10 2025-08-11 2025-08-12 2025-08-13 2025-08-14 2025-08-15 2025-08-16 2025-08-17 2025-08-18 2025-08-19 2025-08-20 2025-08-21 2025-08-22 2025-08-23 2025-08-24 2025-08-25 2025-08-26 2025-08-27 2025-08-28 2025-08-29 2025-08-30 2025-08-31 2025-09-01 2025-09-02 2025-09-03 2025-09-04 2025-09-05 2025-09-06 2025-09-07 2025-09-08 2025-09-09 2025-09-10 2025-09-11 2025-09-12 2025-09-13 2025-09-14 2025-09-15 2025-09-16 2025-09-17 2025-09-18 2025-09-19 2025-09-20 2025-09-21 2025-09-22 2025-09-23 2025-09-24 2025-09-25 2025-09-26 2025-09-27 2025-09-28 2025-09-29 2025-09-30 2025-10-01 2025-12-08 2025-12-09 2025-12-10 2025-12-11 2025-12-12 2025-12-13 2025-12-14 2025-12-15 2025-12-16 2025-12-17 2025-12-18 2025-12-19 2025-12-20 2025-12-21 2025-12-22 2025-12-23 2025-12-24 2025-12-25 2025-12-26 2025-12-27 2025-12-28 2025-12-29 2025-12-30 2025-12-31 2026-01-01 2026-01-02 2026-01-03 2026-01-04 2026-01-05 2026-01-06 2026-01-07 2026-01-08 2026-01-09 2026-01-10 2026-01-11 2026-01-12 2026-01-13 2026-01-14 2026-01-15 2026-01-16 2026-01-17 2026-01-18 2026-01-19 2026-01-20 2026-01-21 2026-01-22 2026-01-23 2026-01-24 2026-01-25 2026-01-26 2026-01-27 2026-01-28 2026-01-29 2026-01-30 2026-01-31 2026-02-01 2026-02-02 2026-02-03 2026-02-04 2026-02-05 2026-02-06 2026-02-07 2026-02-08 2026-02-09 2026-02-10 2026-02-11 2026-02-12 2026-02-13 2026-02-14 2026-02-15 2026-02-16 2026-02-17 2026-02-18 2026-02-19 2026-02-20 2026-02-21 2026-02-22 2026-02-23 2026-02-24 2026-02-25 2026-02-26 2026-02-27 2026-02-28 2026-03-01 2026-03-02 2026-03-03 2026-03-04 2026-03-05 2026-03-06 2026-03-07 2026-03-08 2026-03-09 2026-03-10 2026-03-11 2026-03-12 2026-03-13 2026-03-14 2026-03-15 2026-03-16 2026-03-17 2026-03-18 2026-03-21 2026-03-22 2026-03-23 2026-03-24 2026-03-25 2026-03-26 2026-03-26 WholeWorld_WebMercator Surface Reflectance (Landsat) USGS Landsat Analysis Ready Data Collection 2 Level 2, Surface Reflectance (SR) products for Landsat 5, 7, 8 and 9. -180.0 -90.0 180.0 90.0 landsat-c2-l2-sr image/png application/json Time Date 1984-06-12 1984-07-15 1984-07-30 1984-10-02 1984-11-19 1986-08-16 1986-08-17 1986-08-18 1986-08-19 1986-08-20 1986-08-21 1986-08-22 1986-08-23 1986-08-25 1986-08-26 1986-08-27 1986-09-01 1987-02-20 1987-05-20 1987-05-22 1987-05-23 1987-05-24 1987-05-25 1987-05-26 1987-05-27 1987-05-28 1987-05-29 1987-05-30 1987-05-31 1987-06-01 1987-06-08 1987-06-10 1987-06-15 1987-06-24 1987-06-26 1987-07-01 1987-07-10 1987-07-12 1987-07-13 1987-07-14 1987-07-16 1987-07-17 1987-07-18 1987-07-20 1987-07-21 1987-07-26 1987-07-27 1987-07-28 1987-07-31 1987-08-02 1987-08-18 1987-08-22 1987-08-23 1987-08-25 1987-09-01 1987-09-02 1987-09-03 1987-09-04 1987-09-05 1987-09-06 1987-09-07 1987-09-08 1987-09-09 1987-09-10 1987-09-11 1987-09-12 1987-09-13 1987-09-14 1987-09-15 1987-09-16 1987-09-17 1987-09-18 1987-09-19 1987-09-20 1987-09-21 1987-09-22 1987-09-23 1987-09-24 1987-09-25 1987-09-26 1987-09-27 1987-09-28 1987-09-29 1987-09-30 1987-10-01 1987-10-02 1987-10-03 1987-10-04 1987-10-05 1987-10-06 1987-10-07 1987-10-08 1987-10-09 1987-10-10 1987-10-11 1987-10-12 1987-10-13 1987-10-14 1987-10-15 1987-10-16 1987-10-17 1987-10-18 1987-10-19 1987-10-20 1987-10-21 1987-10-22 1987-10-23 1987-10-24 1987-10-25 1987-10-26 1987-10-27 1987-10-30 1987-10-31 1987-11-01 1987-11-03 1987-11-04 1987-11-05 1987-11-06 1987-11-07 1987-11-08 1987-11-09 1987-11-10 1987-11-11 1987-11-12 1987-11-13 1987-11-14 1987-11-15 1987-11-17 1987-11-18 1987-11-19 1987-11-20 1987-11-21 1987-11-22 1987-11-23 1987-11-24 1987-11-25 1987-11-26 1987-11-27 1987-11-28 1987-11-29 1987-11-30 1987-12-01 1987-12-02 1987-12-03 1987-12-04 1987-12-05 1987-12-06 1987-12-07 1987-12-08 1987-12-09 1987-12-10 1987-12-11 1987-12-13 1987-12-14 1987-12-15 1987-12-16 1987-12-17 1987-12-18 1987-12-19 1987-12-20 1987-12-21 1987-12-22 1987-12-23 1987-12-24 1987-12-25 1987-12-26 1987-12-27 1987-12-28 1987-12-29 1987-12-30 1987-12-31 1988-01-02 1988-01-03 1988-01-04 1988-01-05 1988-01-06 1988-01-07 1988-01-09 1988-01-10 1988-01-11 1988-01-12 1988-01-13 1988-01-14 1988-01-15 1988-01-16 1988-01-17 1988-01-18 1988-01-19 1988-01-21 1988-01-22 1988-01-23 1988-01-24 1988-01-25 1988-01-26 1988-01-27 1988-01-28 1988-01-29 1988-01-30 1988-01-31 1988-02-01 1988-02-02 1988-02-05 1988-02-06 1988-02-07 1988-02-08 1988-02-09 1988-02-10 1988-02-11 1988-02-12 1988-02-14 1988-02-15 1988-02-16 1988-02-17 1988-02-18 1988-02-19 1988-02-20 1988-02-21 1988-02-22 1988-02-23 1988-02-24 1988-02-25 1988-02-26 1988-02-27 1988-02-28 1988-02-29 1988-03-01 1988-03-02 1988-03-03 1988-03-04 1988-03-05 1988-03-06 1988-03-07 1988-03-08 1988-03-09 1988-03-10 1988-03-11 1988-03-12 1988-03-13 1988-03-14 1988-03-15 1988-03-16 1988-03-17 1988-03-18 1988-03-19 1988-03-20 1988-03-21 1988-03-22 1988-03-23 1988-03-24 1988-03-26 1988-03-27 1988-03-28 1988-03-29 1988-03-30 1988-03-31 1988-04-01 1988-04-02 1988-04-03 1988-04-04 1988-04-06 1988-04-07 1988-04-08 1988-04-09 1988-04-10 1988-04-11 1988-04-12 1988-04-13 1988-04-14 1988-04-15 1988-04-16 1988-04-17 1988-04-18 1988-04-19 1988-04-20 1988-04-21 1988-04-22 1988-04-23 1988-04-24 1988-04-26 1988-04-27 1988-04-28 1988-04-29 1988-04-30 1988-05-01 1988-05-02 1988-05-03 1988-05-04 1988-05-05 1988-05-06 1988-05-07 1988-05-08 1988-05-09 1988-05-10 1988-05-13 1988-05-14 1988-05-15 1988-05-16 1988-05-17 1988-05-18 1988-05-19 1988-05-20 1988-05-21 1988-05-22 1988-05-23 1988-05-24 1988-05-25 1988-05-26 1988-05-27 1988-05-29 1988-05-30 1988-05-31 1988-06-01 1988-06-02 1988-06-03 1988-06-04 1988-06-05 1988-06-06 1988-06-07 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2025-02-13 2025-02-14 2025-02-15 2025-02-16 2025-02-17 2025-02-18 2025-02-19 2025-02-20 2025-02-21 2025-02-22 2025-02-23 2025-02-24 2025-02-25 2025-02-26 2025-02-27 2025-02-28 2025-03-01 2025-03-02 2025-03-03 2025-03-04 2025-03-05 2025-03-06 2025-03-07 2025-03-08 2025-03-09 2025-03-10 2025-03-11 2025-03-12 2025-03-13 2025-03-14 2025-03-15 2025-03-16 2025-03-17 2025-03-18 2025-03-19 2025-03-20 2025-03-21 2025-03-22 2025-03-23 2025-03-24 2025-03-25 2025-03-26 2025-03-27 2025-03-28 2025-03-29 2025-03-30 2025-03-31 2025-04-01 2025-04-02 2025-04-03 2025-04-04 2025-04-05 2025-04-06 2025-04-07 2025-04-08 2025-04-09 2025-04-10 2025-04-11 2025-04-12 2025-04-13 2025-04-14 2025-04-15 2025-04-16 2025-04-17 2025-04-18 2025-04-19 2025-04-20 2025-04-21 2025-04-22 2025-04-23 2025-04-24 2025-04-25 2025-04-26 2025-04-27 2025-04-28 2025-04-29 2025-04-30 2025-05-01 2025-05-02 2025-05-03 2025-05-04 2025-05-05 2025-05-06 2025-05-07 2025-05-08 2025-05-09 2025-05-10 2025-05-11 2025-05-12 2025-05-13 2025-05-14 2025-05-15 2025-05-16 2025-05-17 2025-05-18 2025-05-19 2025-05-20 2025-05-21 2025-05-22 2025-05-23 2025-05-24 2025-05-25 2025-05-26 2025-05-27 2025-05-28 2025-05-29 2025-05-30 2025-05-31 2025-06-01 2025-06-02 2025-06-03 2025-06-04 2025-06-05 2025-06-06 2025-06-07 2025-06-08 2025-06-09 2025-06-10 2025-06-11 2025-06-12 2025-06-13 2025-06-14 2025-06-15 2025-06-16 2025-06-17 2025-06-18 2025-06-19 2025-06-20 2025-06-21 2025-06-22 2025-06-23 2025-06-24 2025-06-25 2025-06-26 2025-06-27 2025-06-28 2025-06-29 2025-06-30 2025-07-01 2025-07-02 2025-07-03 2025-07-04 2025-07-05 2025-07-06 2025-07-07 2025-07-08 2025-07-09 2025-07-10 2025-07-11 2025-07-12 2025-07-13 2025-07-14 2025-07-15 2025-07-16 2025-07-17 2025-07-18 2025-07-19 2025-07-20 2025-07-21 2025-07-22 2025-07-23 2025-07-24 2025-07-25 2025-07-26 2025-07-27 2025-07-28 2025-07-29 2025-07-30 2025-07-31 2025-08-01 2025-08-02 2025-08-03 2025-08-04 2025-08-05 2025-08-06 2025-08-07 2025-08-08 2025-08-09 2025-08-10 2025-08-11 2025-08-12 2025-08-13 2025-08-14 2025-08-15 2025-08-16 2025-08-17 2025-08-18 2025-08-19 2025-08-20 2025-08-21 2025-08-22 2025-08-23 2025-08-24 2025-08-25 2025-08-26 2025-08-27 2025-08-28 2025-08-29 2025-08-30 2025-08-31 2025-09-01 2025-09-02 2025-09-03 2025-09-04 2025-09-05 2025-09-06 2025-09-07 2025-09-08 2025-09-09 2025-09-10 2025-09-11 2025-09-12 2025-09-13 2025-09-14 2025-09-15 2025-09-16 2025-09-17 2025-09-18 2025-09-19 2025-09-20 2025-09-21 2025-09-22 2025-09-23 2025-09-24 2025-09-25 2025-09-26 2025-09-27 2025-09-28 2025-09-29 2025-09-30 2025-10-01 2025-12-08 2025-12-09 2025-12-10 2025-12-11 2025-12-12 2025-12-13 2025-12-14 2025-12-15 2025-12-16 2025-12-17 2025-12-18 2025-12-19 2025-12-20 2025-12-21 2025-12-22 2025-12-23 2025-12-24 2025-12-25 2025-12-26 2025-12-27 2025-12-28 2025-12-29 2025-12-30 2025-12-31 2026-01-01 2026-01-02 2026-01-03 2026-01-04 2026-01-05 2026-01-06 2026-01-07 2026-01-08 2026-01-09 2026-01-10 2026-01-11 2026-01-12 2026-01-13 2026-01-14 2026-01-15 2026-01-16 2026-01-17 2026-01-18 2026-01-19 2026-01-20 2026-01-21 2026-01-22 2026-01-23 2026-01-24 2026-01-25 2026-01-26 2026-01-27 2026-01-28 2026-01-29 2026-01-30 2026-01-31 2026-02-01 2026-02-02 2026-02-03 2026-02-04 2026-02-05 2026-02-06 2026-02-07 2026-02-08 2026-02-09 2026-02-10 2026-02-11 2026-02-12 2026-02-13 2026-02-14 2026-02-15 2026-02-16 2026-02-17 2026-02-18 2026-02-19 2026-02-20 2026-02-21 2026-02-22 2026-02-23 2026-02-24 2026-02-25 2026-02-26 2026-02-27 2026-02-28 2026-03-01 2026-03-02 2026-03-03 2026-03-04 2026-03-05 2026-03-06 2026-03-07 2026-03-08 2026-03-09 2026-03-10 2026-03-11 2026-03-12 2026-03-13 2026-03-14 2026-03-15 2026-03-16 2026-03-17 2026-03-18 2026-03-21 2026-03-22 2026-03-23 2026-03-24 2026-03-25 2026-03-26 2026-03-26 WholeWorld_WebMercator Annual GeoMAD (Sentinel-2) TODO -180.0 -30.295196431 180.0 21.466825746 dep_s2_geomad image/png application/json Time Date 2022-01-01 2023-01-01 2024-01-01 2024-01-01 WholeWorld_WebMercator Annual GeoMAD (Sentinel-1) todo... -180.0 -23.337794979 180.0 8.93442957 dep_s1_geomad image/png application/json Time Date 2024-01-01 2024-01-01 WholeWorld_WebMercator Satellite Derived Bathymetry Todo... -180.0 -28.024566345 180.0 23.072085441 sdb image/png application/json Time Date 2024-01-01 2024-01-01 WholeWorld_WebMercator Intertidal Todo... -180.0 -27.903251062 180.0 20.556100328 dep_s2ls_intertidal image/png application/json Time Date 2024-01-01 2024-01-01 WholeWorld_WebMercator Water Observations from Space all time summary All-time water summary is one of the statistical summaries of the Water Observation from Space (WOfS) product that shows what percentage of clear observations were detected as wet (ie. the ration of wet to clear as a percentage) from each calendar year. This product has a spatial resolution of 30 m and a temporal coverage of 1980s to last calender year. It is derived from Landsat Collection 2 surface reflectance product. The all time summaries can be used to understand static patterns of water on the landscape. WOfS shows surface water on the day and time that satellite passed overhead, which might be before, during or after a flood peak. Given the time between satellite passes (approximately once every 16 days) it is unlikely that the satellite will capture the maximum extent of any given flood. Instead, it aims to provide large scale, regional information on surface water. For more information on the algorithm, see https://doi.org/10.1016/j.rse.2015.11.003 -180.0 -28.024566345 180.0 20.657343096 wofs_ls_summary_alltime image/png application/json Time Date 1984-01-01 1986-01-01 1987-01-01 1988-01-01 1989-01-01 1990-01-01 1993-01-01 1994-01-01 1999-01-01 2000-01-01 2000-01-01 WholeWorld_WebMercator Water Observations from Space annual summary Annual water summary is one of the statistical summaries of the Water Observation from Space (WOfS) product that shows what percentage of clear observations were detected as wet (ie. the ration of wet to clear as a percentage) from each calendar year. This product has a spatial resolution of 30 m and a temporal coverage of 1980s to last calender year. The exact start year varies regionally due to data availability. It is derived from Landsat Collection 2 surface reflectance product. The annual summaries can be used to understand year to year changes in surface water extent. WOfS shows surface water on the day and time that satellite passed overhead, which might be before, during or after a flood peak. Given the time between satellite passes (approximately once every 16 days) it is unlikely that the satellite will capture the maximum extent of any given flood. Instead, it aims to provide large scale, regional information on surface water. For more information on the algorithm, see https://doi.org/10.1016/j.rse.2015.11.003 -180.0 -28.024566345 180.0 20.657343096 wofs_ls_summary_annual image/png application/json Time Date 2023-01-01 2024-01-01 2024-01-01 WholeWorld_WebMercator Water Observations from Space feature layer Water Observations from Space (WOfS) provides surface water observations derived from satellite imagery for all Pacific nations. The WOfS product allows users to get a better understanding of where water is normally present in a landscape, where water is seldom observed, and where inundation has occurred occasionally. Data is provided as Water Observation Feature Layers (WOFLs), in a 1 to 1 relationship with the input satellite data. Hence there is one WOFL for each satellite dataset processed for the occurrence of water. This product has a spatial resolution of 30 m and a temporal coverage of 1980s to current. It is derived from Landsat Collection 2 surface reflectance product. Daily water observations can be used to map historical flood and to understand surface water dynamics. WOfS shows surface water on the day and time that satellite passed overhead, which might be before, during or after a flood peak. Given the time between satellite passes (approximately once every 16 days) it is unlikely that the satellite will capture the maximum extent of any given flood. Instead, it aims to provide large scale, regional information on surface water. For more information on the algorithm, see https://doi.org/10.1016/j.rse.2015.11.003 -180.0 -28.511816173 180.0 21.293368854 dep_ls_wofl image/png application/json Time Date 2024-01-01 2024-01-02 2024-01-03 2024-01-04 2024-01-05 2024-01-06 2024-01-07 2024-01-08 2024-01-09 2024-01-10 2024-01-11 2024-01-12 2024-01-13 2024-01-14 2024-01-15 2024-01-16 2024-01-17 2024-01-18 2024-01-19 2024-01-20 2024-01-21 2024-01-22 2024-01-23 2024-01-24 2024-01-25 2024-01-26 2024-01-27 2024-01-28 2024-01-29 2024-01-30 2024-01-31 2024-02-01 2024-02-02 2024-02-03 2024-02-04 2024-02-05 2024-02-06 2024-02-07 2024-02-08 2024-02-09 2024-02-10 2024-02-11 2024-02-12 2024-02-13 2024-02-14 2024-02-15 2024-02-16 2024-02-17 2024-02-18 2024-02-19 2024-02-20 2024-02-21 2024-02-22 2024-02-23 2024-02-24 2024-02-25 2024-02-26 2024-02-27 2024-02-28 2024-02-29 2024-03-01 2024-03-02 2024-03-03 2024-03-04 2024-03-05 2024-03-06 2024-03-07 2024-03-08 2024-03-09 2024-03-10 2024-03-11 2024-03-12 2024-03-13 2024-03-14 2024-03-15 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2025-12-13 2025-12-14 2025-12-15 2025-12-16 2025-12-17 2025-12-18 2025-12-19 2025-12-20 2025-12-21 2025-12-22 2025-12-23 2025-12-24 2025-12-25 2025-12-26 2025-12-27 2025-12-28 2025-12-29 2025-12-30 2025-12-31 2026-01-01 2026-01-02 2026-01-03 2026-01-04 2026-01-05 2026-01-06 2026-01-07 2026-01-08 2026-01-09 2026-01-10 2026-01-11 2026-01-12 2026-01-13 2026-01-14 2026-01-15 2026-01-16 2026-01-17 2026-01-18 2026-01-19 2026-01-20 2026-01-21 2026-01-22 2026-01-23 2026-01-24 2026-01-25 2026-01-26 2026-01-27 2026-01-28 2026-01-29 2026-01-30 2026-01-31 2026-02-01 2026-02-02 2026-02-03 2026-02-04 2026-02-05 2026-02-06 2026-02-07 2026-02-08 2026-02-09 2026-02-10 2026-02-11 2026-02-12 2026-02-13 2026-02-14 2026-02-15 2026-02-16 2026-02-17 2026-02-18 2026-02-19 2026-02-20 2026-02-21 2026-02-22 2026-02-23 2026-02-24 2026-02-25 2026-02-26 2026-02-27 2026-02-28 2026-03-01 2026-03-02 2026-03-03 2026-03-04 2026-03-05 2026-03-06 2026-03-07 2026-03-08 2026-03-09 2026-03-10 2026-03-11 2026-03-12 2026-03-13 2026-03-14 2026-03-15 2026-03-16 2026-03-17 2026-03-18 2026-03-21 2026-03-22 2026-03-23 2026-03-24 2026-03-25 2026-03-26 2026-03-26 WholeWorld_WebMercator Mangroves Todo... -180.0 -23.337794979 180.0 14.036086233 mangroves image/png application/json Time Date 2017-01-01 2018-01-01 2019-01-01 2020-01-01 2021-01-01 2022-01-01 2023-01-01 2024-01-01 2024-01-01 WholeWorld_WebMercator Mangroves (AMMI) Mangrove distribution map derived from Sentinel-2 data using the Automated Mangrove Mapping Index (AMMI) -180.0 -28.024566345 180.0 20.657343096 dep_s2_ammi image/png application/json Time Date 2024-01-01 2024-01-01 WholeWorld_WebMercator Seagrass detection Todo... -180.0 -28.024566345 180.0 20.657343096 dep_s2_seagrass image/png application/json Time Date 2017-01-01 2020-01-01 2024-01-01 2024-01-01 WholeWorld_WebMercator Fractional cover (alpha) Fractional cover describes the landscape in terms of coverage by green vegetation, non-green vegetation (including deciduous trees during autumn, dry grass, etc.) and bare soil. It provides insight into how areas of dry vegetation and/or bare soil and green vegetation are changing over time. This product has a spatial resolution of 30 m and a temporal coverage of 1980s to current. It is derived from Landsat Collection 2 Surface Reflectance product. Fractional cover allows users to understand the large scale patterns and trends and inform evidence based decision making and policy on topics including wind and water erosion risk, soil carbon dynamics, land surface process monitoring, land management practices, vegetation studies, fuel load estimation, ecosystem modelling, and rangeland condition. The fractional cover algorithm was developed by the Joint Remote Sensing Research Program. -180.0 -28.511816173 180.0 21.293368854 dep_ls_fc image/png application/json Time Date 2024-01-01 2024-01-02 2024-01-03 2024-01-04 2024-01-05 2024-01-06 2024-01-07 2024-01-08 2024-01-09 2024-01-10 2024-01-11 2024-01-12 2024-01-13 2024-01-14 2024-01-15 2024-01-16 2024-01-17 2024-01-18 2024-01-19 2024-01-20 2024-01-21 2024-01-22 2024-01-23 2024-01-24 2024-01-25 2024-01-26 2024-01-27 2024-01-28 2024-01-29 2024-01-30 2024-01-31 2024-02-01 2024-02-02 2024-02-03 2024-02-04 2024-02-05 2024-02-06 2024-02-07 2024-02-08 2024-02-09 2024-02-10 2024-02-11 2024-02-12 2024-02-13 2024-02-14 2024-02-15 2024-02-16 2024-02-17 2024-02-18 2024-02-19 2024-02-20 2024-02-21 2024-02-22 2024-02-23 2024-02-24 2024-02-25 2024-02-26 2024-02-27 2024-02-28 2024-02-29 2024-03-01 2024-03-02 2024-03-03 2024-03-04 2024-03-05 2024-03-06 2024-03-07 2024-03-08 2024-03-09 2024-03-10 2024-03-11 2024-03-12 2024-03-13 2024-03-14 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2026-03-02 2026-03-03 2026-03-04 2026-03-05 2026-03-06 2026-03-07 2026-03-08 2026-03-09 2026-03-10 2026-03-11 2026-03-12 2026-03-13 2026-03-14 2026-03-15 2026-03-16 2026-03-17 2026-03-18 2026-03-21 2026-03-22 2026-03-23 2026-03-24 2026-03-25 2026-03-26 2026-03-26 WholeWorld_WebMercator Fractional Cover annual summary Fractional cover provides information about the proportions of green vegetation, non-green vegetation (including deciduous trees during autumn, dry grass, etc.), and bare soil for every 30 m x 30 m ground footprint. Fractional cover provides insight into how areas of dry vegetation and/or bare soil and green vegetation are changing over time. The percentile summaries are designed to make it easier to analyse and interpret fractional cover. Percentiles provide an indicator of where an observation sits, relative to the rest of the observations for the pixel. For example, the 90th percentile is the value below which 90% of the observations fall. Each annual summary contains the 10th, 50th, and 90th percentiles estimated independently for the green vegetation, non-green vegetation, and bare fractions observed in a calendar year. It provides robust estimates of the lowest, median, and highest proportion values observed for each cover type, which can be used to characterise the land cover. The annual summaries are available from 1984 to the most recent full calendar year. The fractional cover algorithm was developed by the Joint Remote Sensing Research Program. Before the percentile calculation, areas of water and cloud cover, as mapped in the Water Observations from Space (WOfS) Feature Layer, are excluded. -180.0 -28.024566345 180.0 20.657343096 dep_ls_fc_summary_annual image/png application/json Time Date 2024-01-01 2024-01-01 WholeWorld_WebMercator WholeWorld_WebMercator urn:ogc:def:crs:EPSG::3857 urn:ogc:def:wkss:OGC:1.0:GoogleMapsCompatible 0 559082264.0287178 -20037508.3427892 20037508.3427892 256 256 1 1 1 279541132.0143589 -20037508.3427892 20037508.3427892 256 256 2 2 2 139770566.0071794 -20037508.3427892 20037508.3427892 256 256 4 4 3 69885283.00358972 -20037508.3427892 20037508.3427892 256 256 8 8 4 34942641.50179486 -20037508.3427892 20037508.3427892 256 256 16 16 5 17471320.75089743 -20037508.3427892 20037508.3427892 256 256 32 32 6 8735660.375448715 -20037508.3427892 20037508.3427892 256 256 64 64 7 4367830.187724357 -20037508.3427892 20037508.3427892 256 256 128 128 8 2183915.093862179 -20037508.3427892 20037508.3427892 256 256 256 256 9 1091957.546931089 -20037508.3427892 20037508.3427892 256 256 512 512 10 545978.7734655447 -20037508.3427892 20037508.3427892 256 256 1024 1024 11 272989.3867327723 -20037508.3427892 20037508.3427892 256 256 2048 2048 12 136494.6933663862 -20037508.3427892 20037508.3427892 256 256 4096 4096 13 68247.34668319309 -20037508.3427892 20037508.3427892 256 256 8192 8192 14 34123.67334159654 -20037508.3427892 20037508.3427892 256 256 16384 16384 Digital Earth Pacific OWS TODO digital_earth_pacific_ows Earth Observation Earth Observation earth_observation Surface Reflectance Surface Reflectance surface_reflectance Sentinel-2 L2A TODO sentinel_2_c1_l2a sentinel_2_c1_l2a Landsat 5 C2L2 TODO ls5_c2l2_sr ls5_c2l2_sr Landsat 7 C2L2 TODO ls7_c2l2_sr ls7_c2l2_sr Landsat 8 C2L2 TODO ls8_c2l2_sr ls8_c2l2_sr Landsat 9 C2L2 TODO ls9_c2l2_sr ls9_c2l2_sr Surface Reflectance (Landsat) USGS Landsat Analysis Ready Data Collection 2 Level 2, Surface Reflectance (SR) products for Landsat 5, 7, 8 and 9. landsat-c2-l2-sr landsat-c2-l2-sr Annual Summary Products Annual Summary Products annual_summary_products Annual GeoMAD (Sentinel-2) TODO dep_s2_geomad dep_s2_geomad Annual GeoMAD (Sentinel-1) todo... dep_s1_geomad dep_s1_geomad Elevation Elevation Models elevation Satellite Derived Bathymetry Todo... sdb sdb Intertidal Todo... dep_s2ls_intertidal dep_s2ls_intertidal Surface water Surface water as measured by the Water Observations from Space (WOfS) algorithm. surface_water Surface water All-time surface water surface_water Water Observations from Space all time summary All-time water summary is one of the statistical summaries of the Water Observation from Space (WOfS) product that shows what percentage of clear observations were detected as wet (ie. the ration of wet to clear as a percentage) from each calendar year. This product has a spatial resolution of 30 m and a temporal coverage of 1980s to last calender year. It is derived from Landsat Collection 2 surface reflectance product. The all time summaries can be used to understand static patterns of water on the landscape. WOfS shows surface water on the day and time that satellite passed overhead, which might be before, during or after a flood peak. Given the time between satellite passes (approximately once every 16 days) it is unlikely that the satellite will capture the maximum extent of any given flood. Instead, it aims to provide large scale, regional information on surface water. For more information on the algorithm, see https://doi.org/10.1016/j.rse.2015.11.003 wofs_ls_summary_alltime wofs_ls_summary_alltime Annual surface water Annual surface water annual_surface_water Water Observations from Space annual summary Annual water summary is one of the statistical summaries of the Water Observation from Space (WOfS) product that shows what percentage of clear observations were detected as wet (ie. the ration of wet to clear as a percentage) from each calendar year. This product has a spatial resolution of 30 m and a temporal coverage of 1980s to last calender year. The exact start year varies regionally due to data availability. It is derived from Landsat Collection 2 surface reflectance product. The annual summaries can be used to understand year to year changes in surface water extent. WOfS shows surface water on the day and time that satellite passed overhead, which might be before, during or after a flood peak. Given the time between satellite passes (approximately once every 16 days) it is unlikely that the satellite will capture the maximum extent of any given flood. Instead, it aims to provide large scale, regional information on surface water. For more information on the algorithm, see https://doi.org/10.1016/j.rse.2015.11.003 wofs_ls_summary_annual wofs_ls_summary_annual Daily surface water Daily surface water daily_surface_water Water Observations from Space feature layer Water Observations from Space (WOfS) provides surface water observations derived from satellite imagery for all Pacific nations. The WOfS product allows users to get a better understanding of where water is normally present in a landscape, where water is seldom observed, and where inundation has occurred occasionally. Data is provided as Water Observation Feature Layers (WOFLs), in a 1 to 1 relationship with the input satellite data. Hence there is one WOFL for each satellite dataset processed for the occurrence of water. This product has a spatial resolution of 30 m and a temporal coverage of 1980s to current. It is derived from Landsat Collection 2 surface reflectance product. Daily water observations can be used to map historical flood and to understand surface water dynamics. WOfS shows surface water on the day and time that satellite passed overhead, which might be before, during or after a flood peak. Given the time between satellite passes (approximately once every 16 days) it is unlikely that the satellite will capture the maximum extent of any given flood. Instead, it aims to provide large scale, regional information on surface water. For more information on the algorithm, see https://doi.org/10.1016/j.rse.2015.11.003 dep_ls_wofl dep_ls_wofl Vegetation Vegetation vegetation Mangroves Mangrove cover mangroves Mangroves Todo... mangroves mangroves Mangroves (AMMI) Mangrove cover (AMMI) mangroves_ammi Mangroves (AMMI) Mangrove distribution map derived from Sentinel-2 data using the Automated Mangrove Mapping Index (AMMI) dep_s2_ammi dep_s2_ammi Seagrass Seagrass extent seagrass Seagrass detection Todo... dep_s2_seagrass dep_s2_seagrass Vegetation Height Vegetation height vegetation_height Daily Fractional Cover Daily Fractional Cover daily_fractional_cover Fractional cover (alpha) Fractional cover describes the landscape in terms of coverage by green vegetation, non-green vegetation (including deciduous trees during autumn, dry grass, etc.) and bare soil. It provides insight into how areas of dry vegetation and/or bare soil and green vegetation are changing over time. This product has a spatial resolution of 30 m and a temporal coverage of 1980s to current. It is derived from Landsat Collection 2 Surface Reflectance product. Fractional cover allows users to understand the large scale patterns and trends and inform evidence based decision making and policy on topics including wind and water erosion risk, soil carbon dynamics, land surface process monitoring, land management practices, vegetation studies, fuel load estimation, ecosystem modelling, and rangeland condition. The fractional cover algorithm was developed by the Joint Remote Sensing Research Program. dep_ls_fc dep_ls_fc Annual Fractional Cover Annual Fractional Cover annual_fractional_cover Fractional Cover annual summary Fractional cover provides information about the proportions of green vegetation, non-green vegetation (including deciduous trees during autumn, dry grass, etc.), and bare soil for every 30 m x 30 m ground footprint. Fractional cover provides insight into how areas of dry vegetation and/or bare soil and green vegetation are changing over time. The percentile summaries are designed to make it easier to analyse and interpret fractional cover. Percentiles provide an indicator of where an observation sits, relative to the rest of the observations for the pixel. For example, the 90th percentile is the value below which 90% of the observations fall. Each annual summary contains the 10th, 50th, and 90th percentiles estimated independently for the green vegetation, non-green vegetation, and bare fractions observed in a calendar year. It provides robust estimates of the lowest, median, and highest proportion values observed for each cover type, which can be used to characterise the land cover. The annual summaries are available from 1984 to the most recent full calendar year. The fractional cover algorithm was developed by the Joint Remote Sensing Research Program. Before the percentile calculation, areas of water and cloud cover, as mapped in the Water Observations from Space (WOfS) Feature Layer, are excluded. dep_ls_fc_summary_annual dep_ls_fc_summary_annual