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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KYT_2017-07-05_final.stac-item
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51JXH_2017-09-30_final.stac-item
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_52JBM_2017-11-03_final.stac-item
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_51JYN_2017-11-06_final.stac-item
2017-11-20 10:47:12	ga_s2bm_ard_3-2-1_52JFS_2017-11-20_final.stac-item
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KXQ_2017-12-02_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JXF_2017-12-29_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KVT_2018-01-14_final.stac-item
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KXT_2018-01-21_final.stac-item
2018-04-08 11:16:56	ga_s2bm_ard_3-2-1_51KZP_2018-04-08_final.stac-item
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49JHN_2018-05-30_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KUV_2018-06-03_final.stac-item
2018-06-11 11:03:54	ga_s2bm_ard_3-2-1_52JET_2018-06-11_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50JPL_2018-08-12_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_50KKB_2018-08-28_final.stac-item
2018-11-19 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2018-11-19_final.stac-item
2018-11-24 11:23:50	ga_s2bm_ard_3-2-1_51KYQ_2018-11-24_final.stac-item
2019-01-26 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2019-01-26_final.stac-item
2019-03-04 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2019-03-04_final.stac-item
2019-03-18 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2019-03-18_final.stac-item
2019-03-24 11:23:50	ga_s2bm_ard_3-2-1_51KZQ_2019-03-24_final.stac-item
2019-05-06 11:34:19	ga_s2bm_ard_3-2-1_51KWP_2019-05-06_final.stac-item
2019-06-29 11:15:23	ga_s2bm_ard_3-2-1_52JBP_2019-06-29_final.stac-item
2019-07-17 12:15:08	ga_s2bm_ard_3-2-1_49JFM_2019-07-17_final.stac-item
2019-07-27 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-07-27_final.stac-item
2019-07-28 11:43:37	ga_s2bm_ard_3-2-1_51KUS_2019-07-28_final.stac-item
2019-08-17 11:46:54	ga_s2bm_ard_3-2-1_50HPJ_2019-08-17_final.stac-item
2019-09-06 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2019-09-06_final.stac-item
2019-10-06 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2019-10-06_final.stac-item
2019-11-25 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2019-11-25_final.stac-item
2019-11-29 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2019-11-29_final.stac-item
2020-01-11 11:31:33	ga_s2bm_ard_3-2-1_51LYD_2020-01-11_final.stac-item
2020-01-11 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2020-01-11_final.stac-item
2020-01-14 11:41:13	ga_s2bm_ard_3-2-1_51LUF_2020-01-14_final.stac-item
2020-02-20 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2020-02-20_final.stac-item
2020-03-21 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2020-03-21_final.stac-item
2020-04-01 11:04:59	ga_s2bm_ard_3-2-1_52JEQ_2020-04-01_final.stac-item
2020-06-02 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2020-06-02_final.stac-item
2020-06-12 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2020-06-12_final.stac-item
2020-06-29 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2020-06-29_final.stac-item
2020-06-29 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2020-06-29_final.stac-item
2020-07-03 11:15:24	ga_s2bm_ard_3-2-1_52JBP_2020-07-03_final.stac-item
2020-07-26 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2020-07-26_final.stac-item
2020-07-26 11:25:55	ga_s2bm_ard_3-2-1_51JXG_2020-07-26_final.stac-item
2020-08-01 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2020-08-01_final.stac-item
2020-09-16 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2020-09-16_final.stac-item
2020-09-17 11:34:07	ga_s2bm_ard_3-2-1_51KXP_2020-09-17_final.stac-item
2021-01-02 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2021-01-02_final.stac-item
2021-01-08 11:41:17	ga_s2bm_ard_3-2-1_51LUF_2021-01-08_final.stac-item
2021-01-31 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2021-01-31_final.stac-item
2021-03-02 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2021-03-02_final.stac-item
2021-03-03 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2021-03-03_final.stac-item
2021-03-06 11:34:24	ga_s2bm_ard_3-2-1_51JWN_2021-03-06_final.stac-item
2021-04-25 11:33:04	ga_s2bm_ard_3-2-1_51KXT_2021-04-25_final.stac-item
2021-04-28 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2021-04-28_final.stac-item
2021-04-28 11:43:14	ga_s2bm_ard_3-2-1_50KRC_2021-04-28_final.stac-item
2021-06-01 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2021-06-01_final
2021-06-17 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2021-06-17_final.stac-item
2021-06-20 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2021-06-20_final
2021-08-09 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-08-09_final.stac-item
2021-08-27 11:13:38	ga_s2bm_ard_3-2-1_51KZR_2021-08-27_final.stac-item
2021-08-30 11:24:12	ga_s2bm_ard_3-2-1_51KWP_2021-08-30_final.stac-item
2021-12-27 11:53:20	ga_s2bm_ard_3-2-1_50KNC_2021-12-27_final.stac-item
2022-01-10 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2022-01-10_final.stac-item
2022-01-24 11:16:14	ga_s2bm_ard_3-2-1_52HBK_2022-01-24_final.stac-item
2022-02-16 11:23:18	ga_s2bm_ard_3-2-1_51KYS_2022-02-16_final.stac-item
2022-04-27 11:23:14	ga_s2bm_ard_3-2-1_51KZS_2022-04-27_final.stac-item
2022-05-03 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2022-05-03_final.stac-item
2022-05-03 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2022-05-03_final.stac-item
2022-06-30 11:05:00	ga_s2bm_ard_3-2-1_52JCR_2022-06-30_final.stac-item
2022-07-13 11:14:13	ga_s2bm_ard_3-2-1_51KZP_2022-07-13_final.stac-item
2022-08-12 11:13:44	ga_s2bm_ard_3-2-1_51KZR_2022-08-12_final.stac-item
2022-08-15 11:23:42	ga_s2bm_ard_3-2-1_51KYR_2022-08-15_final.stac-item
2022-09-23 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2022-09-23_final.stac-item
2022-09-27 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2022-09-27_final.stac-item
2022-10-07 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2022-10-07_final.stac-item
2022-10-11 11:14:07	ga_s2bm_ard_3-2-1_51KZP_2022-10-11_final.stac-item
2022-10-17 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2022-10-17_final.stac-item
2022-10-24 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2022-10-24_final.stac-item
2022-12-03 11:24:06	ga_s2bm_ard_3-2-1_51KYP_2022-12-03_final.stac-item
2022-12-16 11:32:13	ga_s2bm_ard_3-2-1_51KWB_2022-12-16_final.stac-item
2023-01-15 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2023-01-15_final.stac-item
2023-01-18 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2023-01-18_final.stac-item
2023-01-28 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2023-01-28_final.stac-item
2023-03-29 11:41:21	ga_s2bm_ard_3-2-1_51LUF_2023-03-29_final
2023-04-24 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2023-04-24_final
2023-05-25 11:32:45	ga_s2bm_ard_3-2-1_51KXV_2023-05-25_final
2023-06-01 11:23:10	ga_s2bm_ard_3-2-1_51KZT_2023-06-01_final
2023-06-12 10:55:22	ga_s2bm_ard_3-2-1_52JFP_2023-06-12_final
2023-06-21 11:26:40	ga_s2bm_ard_3-2-1_51HXD_2023-06-21_final
2023-10-12 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2023-10-12_final
2023-10-25 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2023-10-25_final
2023-12-18 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2023-12-18_final
2023-12-18 11:24:15	ga_s2bm_ard_3-2-1_51KWP_2023-12-18_final
2024-01-09 12:03:18	ga_s2bm_ard_3-2-1_50KNC_2024-01-09_final
2024-01-27 11:22:54	ga_s2bm_ard_3-2-1_51KYU_2024-01-27_final
2024-01-27 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2024-01-27_final
2024-02-19 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2024-02-19_final
2024-03-27 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2024-03-27_final
2024-04-02 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2024-04-02_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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