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
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KWB_2017-10-13_final.stac-item
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50JRS_2017-10-26_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50JPL_2017-11-05_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KVQ_2017-11-12_final.stac-item
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50HQH_2017-12-02_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KVU_2017-12-15_final.stac-item
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50HLK_2017-12-18_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JGJ_2017-12-21_final.stac-item
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KUQ_2018-01-21_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JPR_2018-02-06_final.stac-item
2018-03-19 11:26:26	ga_s2bm_ard_3-2-1_51HUC_2018-03-19_final.stac-item
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KWP_2018-06-27_final.stac-item
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KUV_2018-07-03_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50KRC_2018-07-13_final.stac-item
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JNQ_2018-07-16_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51HTC_2018-07-30_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JNR_2018-08-05_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_50KKB_2018-08-08_final.stac-item
2018-09-02 11:14:34	ga_s2bm_ard_3-2-1_51HYE_2018-09-02_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HMH_2018-09-11_final.stac-item
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_51JYK_2018-10-22_final.stac-item
2018-11-24 11:26:41	ga_s2bm_ard_3-2-1_51HUD_2018-11-24_final.stac-item
2018-12-27 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2018-12-27_final.stac-item
2019-01-22 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2019-01-22_final.stac-item
2019-02-14 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2019-02-14_final.stac-item
2019-02-28 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2019-02-28_final.stac-item
2019-03-30 11:46:17	ga_s2bm_ard_3-2-1_50JQL_2019-03-30_final.stac-item
2019-05-06 11:32:37	ga_s2bm_ard_3-2-1_51KWA_2019-05-06_final.stac-item
2019-05-22 11:53:30	ga_s2bm_ard_3-2-1_50KPC_2019-05-22_final.stac-item
2019-05-25 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-05-25_final.stac-item
2019-09-09 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2019-09-09_final.stac-item
2019-10-06 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2019-10-06_final.stac-item
2019-10-16 11:42:23	ga_s2bm_ard_3-2-1_51KWA_2019-10-16_final.stac-item
2019-12-02 11:34:23	ga_s2bm_ard_3-2-1_51JVN_2019-12-02_final.stac-item
2019-12-08 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2019-12-08_final.stac-item
2020-01-01 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2020-01-01_final.stac-item
2020-01-27 11:52:12	ga_s2bm_ard_3-2-1_50KQG_2020-01-27_final
2020-02-17 11:25:09	ga_s2bm_ard_3-2-1_51JWK_2020-02-17_final.stac-item
2020-02-27 11:26:41	ga_s2bm_ard_3-2-1_51HVD_2020-02-27_final.stac-item
2020-02-29 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-02-29_final.stac-item
2020-05-03 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2020-05-03_final.stac-item
2020-05-10 11:34:38	ga_s2bm_ard_3-2-1_51JWM_2020-05-10_final.stac-item
2020-06-29 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2020-06-29_final.stac-item
2020-08-05 11:25:13	ga_s2bm_ard_3-2-1_51JXK_2020-08-05_final.stac-item
2020-08-11 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2020-08-11_final.stac-item
2020-09-06 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2020-09-06_final.stac-item
2020-11-29 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2020-11-29_final.stac-item
2020-12-19 11:43:14	ga_s2bm_ard_3-2-1_50KRC_2020-12-19_final.stac-item
2021-01-05 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2021-01-05_final.stac-item
2021-02-07 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2021-02-07_final.stac-item
2021-03-03 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2021-03-03_final.stac-item
2021-03-05 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-03-05_final.stac-item
2021-04-15 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2021-04-15_final.stac-item
2021-05-25 11:34:18	ga_s2bm_ard_3-2-1_51KUP_2021-05-25_final.stac-item
2021-06-08 11:15:26	ga_s2bm_ard_3-2-1_51JYJ_2021-06-08_final.stac-item
2021-06-24 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2021-06-24_final.stac-item
2021-08-10 11:24:41	ga_s2bm_ard_3-2-1_51JXM_2021-08-10_final.stac-item
2021-10-05 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2021-10-05_final.stac-item
2021-10-29 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2021-10-29_final.stac-item
2021-10-29 11:24:42	ga_s2bm_ard_3-2-1_51JXM_2021-10-29_final.stac-item
2021-11-01 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2021-11-01_final.stac-item
2021-11-11 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2021-11-11_final.stac-item
2021-12-18 11:25:00	ga_s2bm_ard_3-2-1_51JYK_2021-12-18_final.stac-item
2021-12-24 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2021-12-24_final.stac-item
2022-01-20 11:32:10	ga_s2bm_ard_3-2-1_51KWB_2022-01-20_final.stac-item
2022-03-08 11:26:30	ga_s2bm_ard_3-2-1_51HUE_2022-03-08_final.stac-item
2022-03-14 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2022-03-14_final.stac-item
2022-03-20 12:03:31	ga_s2bm_ard_3-2-1_50KNB_2022-03-20_final.stac-item
2022-04-29 12:05:44	ga_s2bm_ard_3-2-1_50JLN_2022-04-29_final.stac-item
2022-07-12 11:44:27	ga_s2bm_ard_3-2-1_50KPU_2022-07-12_final.stac-item
2022-07-18 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2022-07-18_final.stac-item
2022-08-28 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2022-08-28_final.stac-item
2022-09-13 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2022-09-13_final.stac-item
2022-09-20 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2022-09-20_final.stac-item
2022-09-23 11:53:26	ga_s2bm_ard_3-2-1_50KNC_2022-09-23_final.stac-item
2022-10-10 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-10-10_final.stac-item
2022-11-13 11:24:29	ga_s2bm_ard_3-2-1_51JWN_2022-11-13_final.stac-item
2022-12-02 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2022-12-02_final.stac-item
2023-01-01 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2023-01-01_final.stac-item
2023-02-21 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2023-02-21_nrt.stac-item
2023-04-01 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2023-04-01_final
2023-04-12 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2023-04-12_final
2023-04-21 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2023-04-21_final
2023-06-04 11:32:19	ga_s2bm_ard_3-2-1_51KWB_2023-06-04_final
2023-06-08 11:15:15	ga_s2bm_ard_3-2-1_51JYK_2023-06-08_final
2023-09-02 11:33:53	ga_s2bm_ard_3-2-1_51KUR_2023-09-02_final
2023-10-11 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2023-10-11_final
2023-11-27 11:56:18	ga_s2bm_ard_3-2-1_50JML_2023-11-27_final
2023-12-01 11:32:17	ga_s2bm_ard_3-2-1_51KVB_2023-12-01_final
2023-12-04 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2023-12-04_final
2024-01-29 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2024-01-29_final
2024-02-03 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2024-02-03_final
2024-02-05 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-02-05_final
2024-02-29 11:36:15	ga_s2bm_ard_3-2-1_51JTF_2024-02-29_final
2024-03-06 11:53:27	ga_s2bm_ard_3-2-1_50KQB_2024-03-06_final
2024-04-13 11:15:25	ga_s2bm_ard_3-2-1_51JYJ_2024-04-13_final
2024-04-16 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2024-04-16_final
2024-04-22 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2024-04-22_final
2024-04-25 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2024-04-25_final
2024-05-08 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2024-05-08_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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