Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-08-08 11:12:00	ga_s2bm_ard_3-2-1_52JBS_2017-08-08_final.stac-item
2017-09-04 11:02:04	ga_s2bm_ard_3-2-1_52JFT_2017-09-04_final.stac-item
2017-10-30 11:20:19	ga_s2bm_ard_3-2-1_51KYT_2017-10-30_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KWS_2017-12-12_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50JPR_2017-12-15_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPH_2018-01-11_final.stac-item
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JXH_2018-02-17_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KHR_2018-03-21_final.stac-item
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_52JBQ_2018-04-25_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51LZD_2018-05-01_final.stac-item
2018-07-08 10:51:28	ga_s2bm_ard_3-2-1_52JEM_2018-07-08_final.stac-item
2018-07-21 11:01:52	ga_s2bm_ard_3-2-1_52JFN_2018-07-21_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JHM_2018-09-07_final.stac-item
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_51JYK_2018-10-22_final.stac-item
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51KYP_2018-10-25_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HPK_2018-10-31_final.stac-item
2018-11-14 11:22:50	ga_s2bm_ard_3-2-1_51KZU_2018-11-14_final.stac-item
2018-11-24 11:26:37	ga_s2bm_ard_3-2-1_51HWD_2018-11-24_final.stac-item
2019-01-06 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2019-01-06_final.stac-item
2019-06-04 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-04_final.stac-item
2019-06-05 11:37:05	ga_s2bm_ard_3-2-1_51HUC_2019-06-05_final.stac-item
2019-08-28 11:13:44	ga_s2bm_ard_3-2-1_52KBA_2019-08-28_final.stac-item
2019-09-12 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2019-09-12_final.stac-item
2019-09-23 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2019-09-23_final.stac-item
2019-10-16 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2019-10-16_final.stac-item
2019-10-26 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2019-10-26_final.stac-item
2019-10-26 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2019-10-26_final.stac-item
2019-11-19 11:21:52	ga_s2bm_ard_3-2-1_51LZC_2019-11-19_final.stac-item
2019-11-19 11:23:33	ga_s2bm_ard_3-2-1_51KZR_2019-11-19_final.stac-item
2019-12-01 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2019-12-01_final.stac-item
2019-12-19 11:22:10	ga_s2bm_ard_3-2-1_51KYB_2019-12-19_final.stac-item
2020-01-18 11:24:20	ga_s2bm_ard_3-2-1_51JXN_2020-01-18_final.stac-item
2020-03-21 11:34:43	ga_s2bm_ard_3-2-1_51JVM_2020-03-21_final.stac-item
2020-03-31 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2020-03-31_final.stac-item
2020-04-01 11:04:53	ga_s2bm_ard_3-2-1_52JCR_2020-04-01_final.stac-item
2020-04-29 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2020-04-29_final.stac-item
2020-05-24 11:14:08	ga_s2bm_ard_3-2-1_52JET_2020-05-24_final.stac-item
2020-05-24 11:15:11	ga_s2bm_ard_3-2-1_51JYK_2020-05-24_final.stac-item
2020-06-02 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2020-06-02_final.stac-item
2020-06-03 11:16:07	ga_s2bm_ard_3-2-1_52JBL_2020-06-03_final.stac-item
2020-06-19 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2020-06-19_final.stac-item
2020-07-28 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-07-28_final.stac-item
2020-08-05 11:25:02	ga_s2bm_ard_3-2-1_51JWL_2020-08-05_final.stac-item
2020-08-21 11:42:46	ga_s2bm_ard_3-2-1_51KVV_2020-08-21_final.stac-item
2020-09-18 11:04:57	ga_s2bm_ard_3-2-1_52JCR_2020-09-18_final.stac-item
2020-10-20 11:41:36	ga_s2bm_ard_3-2-1_51LUE_2020-10-20_final.stac-item
2020-10-24 11:24:18	ga_s2bm_ard_3-2-1_51KWP_2020-10-24_final.stac-item
2020-11-19 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2020-11-19_final.stac-item
2020-12-16 11:31:56	ga_s2bm_ard_3-2-1_51LWC_2020-12-16_final.stac-item
2020-12-25 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2020-12-25_final.stac-item
2021-01-05 11:31:19	ga_s2bm_ard_3-2-1_51LZE_2021-01-05_final.stac-item
2021-01-15 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2021-01-15_final.stac-item
2021-01-18 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2021-01-18_final.stac-item
2021-01-25 11:33:02	ga_s2bm_ard_3-2-1_51KYT_2021-01-25_final.stac-item
2021-05-02 11:22:49	ga_s2bm_ard_3-2-1_51KZU_2021-05-02_final.stac-item
2021-05-06 11:05:10	ga_s2bm_ard_3-2-1_52JFP_2021-05-06_final.stac-item
2021-06-08 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2021-06-08_final.stac-item
2021-07-04 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2021-07-04_final.stac-item
2021-08-25 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2021-08-25_final.stac-item
2021-09-15 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2021-09-15_final.stac-item
2021-10-16 11:14:42	ga_s2bm_ard_3-2-1_51JYM_2021-10-16_final.stac-item
2021-11-11 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2021-11-11_final.stac-item
2021-12-18 11:25:04	ga_s2bm_ard_3-2-1_51JXK_2021-12-18_final.stac-item
2021-12-22 11:04:42	ga_s2bm_ard_3-2-1_52JER_2021-12-22_final.stac-item
2022-01-03 11:43:14	ga_s2bm_ard_3-2-1_50KRC_2022-01-03_final.stac-item
2022-01-07 11:22:48	ga_s2bm_ard_3-2-1_51KZU_2022-01-07_final.stac-item
2022-01-27 11:24:02	ga_s2bm_ard_3-2-1_51KYP_2022-01-27_final.stac-item
2022-02-16 11:22:54	ga_s2bm_ard_3-2-1_51KXU_2022-02-16_final.stac-item
2022-04-17 11:24:07	ga_s2bm_ard_3-2-1_51KXP_2022-04-17_final.stac-item
2022-04-20 11:32:46	ga_s2bm_ard_3-2-1_51KYU_2022-04-20_final.stac-item
2022-04-20 11:35:46	ga_s2bm_ard_3-2-1_50JQN_2022-04-20_final.stac-item
2022-05-24 11:14:29	ga_s2bm_ard_3-2-1_51JYN_2022-05-24_final.stac-item
2022-05-31 11:04:36	ga_s2bm_ard_3-2-1_52JDS_2022-05-31_final.stac-item
2022-06-22 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2022-06-22_final.stac-item
2022-07-31 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2022-07-31_final.stac-item
2022-08-07 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2022-08-07_final.stac-item
2022-10-04 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2022-10-04_final.stac-item
2022-10-10 13:21:36	ga_s2bm_ard_3-2-1_46LHN_2022-10-10_interim
2023-01-08 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2023-01-08_final.stac-item
2023-01-09 12:50:56	ga_s2bm_ard_3-2-1_48LXP_2023-01-09_interim
2023-02-21 11:22:23	ga_s2bm_ard_3-2-1_51KZA_2023-02-21_final
2023-03-06 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2023-03-06_final
2023-03-13 11:22:46	ga_s2bm_ard_3-2-1_51KYV_2023-03-13_final
2023-04-19 11:15:53	ga_s2bm_ard_3-2-1_52JBM_2023-04-19_final
2023-04-28 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2023-04-28_final
2023-06-22 10:54:51	ga_s2bm_ard_3-2-1_52JFR_2023-06-22_final
2023-06-24 11:32:01	ga_s2bm_ard_3-2-1_51LXC_2023-06-24_final
2023-07-14 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-07-14_final
2023-08-19 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-08-19_final
2023-09-14 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-09-14_final
2023-09-15 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2023-09-15_final
2023-10-09 11:24:45	ga_s2bm_ard_3-2-1_52JBR_2023-10-09_final
2023-11-28 11:22:38	ga_s2bm_ard_3-2-1_51KYV_2023-11-28_final
2023-12-11 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2023-12-11_final
2023-12-14 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2023-12-14_final
2023-12-24 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2023-12-24_final
2024-01-26 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2024-01-26_final
2024-02-23 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2024-02-23_final
2024-02-29 11:32:42	ga_s2bm_ard_3-2-1_51KWV_2024-02-29_final
2024-03-30 11:32:22	ga_s2bm_ard_3-2-1_51KYA_2024-03-30_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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