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
2017-08-07 11:38:33	ga_s2bm_ard_3-2-1_51KTS_2017-08-07_final.stac-item
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50KPV_2017-08-20_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KTP_2017-11-15_final.stac-item
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KZS_2017-12-09_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KTS_2017-12-15_final.stac-item
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_52JCT_2018-01-15_final.stac-item
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KZS_2018-05-18_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50KKU_2018-05-20_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51JTF_2018-05-21_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51KVP_2018-06-10_final.stac-item
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51LVF_2018-06-23_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50KPV_2018-08-25_final.stac-item
2018-08-26 11:17:49	ga_s2bm_ard_3-2-1_51KZU_2018-08-26_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50JQR_2018-09-11_final.stac-item
2018-10-02 11:12:46	ga_s2bm_ard_3-2-1_51JZM_2018-10-02_final.stac-item
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50KNA_2018-10-24_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KTP_2018-10-31_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JMQ_2018-11-03_final.stac-item
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_51KZU_2018-11-04_final.stac-item
2018-11-20 11:44:13	ga_s2bm_ard_3-2-1_50KRU_2018-11-20_final.stac-item
2019-01-12 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2019-01-12_final.stac-item
2019-01-12 11:54:07	ga_s2bm_ard_3-2-1_50KNV_2019-01-12_final.stac-item
2019-02-11 11:54:37	ga_s2bm_ard_3-2-1_50JNT_2019-02-11_final.stac-item
2019-02-25 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2019-02-25_final.stac-item
2019-04-29 11:44:27	ga_s2bm_ard_3-2-1_50KQU_2019-04-29_final.stac-item
2019-05-13 11:22:16	ga_s2bm_ard_3-2-1_52KBG_2019-05-13_final.stac-item
2019-05-19 11:42:07	ga_s2bm_ard_3-2-1_51LVC_2019-05-19_final.stac-item
2019-05-27 11:05:39	ga_s2bm_ard_3-2-1_52JEN_2019-05-27_final.stac-item
2019-06-12 11:22:59	ga_s2bm_ard_3-2-1_52KBD_2019-06-12_final.stac-item
2019-08-01 11:23:00	ga_s2bm_ard_3-2-1_51KZU_2019-08-01_final.stac-item
2019-08-05 11:05:12	ga_s2bm_ard_3-2-1_52JDQ_2019-08-05_final.stac-item
2019-08-11 11:22:59	ga_s2bm_ard_3-2-1_51KZU_2019-08-11_final.stac-item
2019-09-20 11:22:08	ga_s2bm_ard_3-2-1_51KZB_2019-09-20_final.stac-item
2019-10-01 10:55:46	ga_s2bm_ard_3-2-1_52JFM_2019-10-01_final.stac-item
2019-10-23 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2019-10-23_final.stac-item
2019-10-26 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2019-10-26_final.stac-item
2019-11-05 11:43:47	ga_s2bm_ard_3-2-1_50KRA_2019-11-05_final.stac-item
2019-11-09 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2019-11-09_final.stac-item
2019-11-09 11:24:55	ga_s2bm_ard_3-2-1_51JXL_2019-11-09_final.stac-item
2019-11-10 10:55:30	ga_s2bm_ard_3-2-1_52JFN_2019-11-10_final.stac-item
2019-11-19 11:24:38	ga_s2bm_ard_3-2-1_51JXM_2019-11-19_final.stac-item
2019-11-19 11:24:53	ga_s2bm_ard_3-2-1_51JXL_2019-11-19_final.stac-item
2019-12-11 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2019-12-11_final.stac-item
2020-01-04 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2020-01-04_final.stac-item
2020-02-19 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2020-02-19_final.stac-item
2020-04-27 11:22:00	ga_s2bm_ard_3-2-1_52KCG_2020-04-27_final.stac-item
2020-04-29 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2020-04-29_final.stac-item
2020-05-14 11:13:36	ga_s2bm_ard_3-2-1_52KCA_2020-05-14_final.stac-item
2020-07-10 11:05:32	ga_s2bm_ard_3-2-1_52JEN_2020-07-10_final.stac-item
2020-07-30 11:05:33	ga_s2bm_ard_3-2-1_52JEN_2020-07-30_final.stac-item
2020-07-30 11:05:37	ga_s2bm_ard_3-2-1_52JDN_2020-07-30_final.stac-item
2020-08-01 11:43:50	ga_s2bm_ard_3-2-1_50KRA_2020-08-01_final.stac-item
2020-08-18 11:35:05	ga_s2bm_ard_3-2-1_51JUL_2020-08-18_final.stac-item
2020-08-21 11:42:02	ga_s2bm_ard_3-2-1_51LVC_2020-08-21_final.stac-item
2020-09-08 11:04:50	ga_s2bm_ard_3-2-1_52JER_2020-09-08_final.stac-item
2020-11-05 12:04:15	ga_s2bm_ard_3-2-1_50KKV_2020-11-05_final.stac-item
2020-11-24 10:55:28	ga_s2bm_ard_3-2-1_52JGN_2020-11-24_final.stac-item
2020-12-03 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2020-12-03_final.stac-item
2020-12-25 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2020-12-25_final.stac-item
2021-01-19 11:16:26	ga_s2bm_ard_3-2-1_51HXE_2021-01-19_final.stac-item
2021-03-03 11:22:07	ga_s2bm_ard_3-2-1_52KBG_2021-03-03_final.stac-item
2021-03-10 11:15:03	ga_s2bm_ard_3-2-1_52JCQ_2021-03-10_final.stac-item
2021-05-02 11:24:33	ga_s2bm_ard_3-2-1_51JYM_2021-05-02_final.stac-item
2021-07-27 11:41:49	ga_s2bm_ard_3-2-1_51LUD_2021-07-27_final
2021-08-16 11:44:02	ga_s2bm_ard_3-2-1_51KTQ_2021-08-16_final.stac-item
2021-08-26 11:43:31	ga_s2bm_ard_3-2-1_50KRB_2021-08-26_final.stac-item
2021-08-30 11:22:20	ga_s2bm_ard_3-2-1_52KBF_2021-08-30_final.stac-item
2021-09-29 11:22:22	ga_s2bm_ard_3-2-1_51KZA_2021-09-29_final.stac-item
2021-10-05 11:43:33	ga_s2bm_ard_3-2-1_50KRB_2021-10-05_final.stac-item
2021-10-13 11:04:16	ga_s2bm_ard_3-2-1_52JFT_2021-10-13_final.stac-item
2021-11-17 11:54:35	ga_s2bm_ard_3-2-1_50JNT_2021-11-17_final.stac-item
2021-11-24 11:41:26	ga_s2bm_ard_3-2-1_51LVE_2021-11-24_final.stac-item
2021-11-24 11:43:43	ga_s2bm_ard_3-2-1_50KRA_2021-11-24_final.stac-item
2021-12-11 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2021-12-11_final.stac-item
2022-01-03 11:45:17	ga_s2bm_ard_3-2-1_50JPQ_2022-01-03_final.stac-item
2022-01-06 11:54:33	ga_s2bm_ard_3-2-1_50JNT_2022-01-06_final.stac-item
2022-06-27 10:55:32	ga_s2bm_ard_3-2-1_52JGN_2022-06-27_final.stac-item
2022-07-03 11:13:27	ga_s2bm_ard_3-2-1_52KCB_2022-07-03_final.stac-item
2022-10-18 11:05:19	ga_s2bm_ard_3-2-1_52JDP_2022-10-18_final.stac-item
2022-11-25 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2022-11-25_final.stac-item
2022-12-10 11:14:17	ga_s2bm_ard_3-2-1_52JCT_2022-12-10_final.stac-item
2022-12-24 10:55:27	ga_s2bm_ard_3-2-1_52JGN_2022-12-24_final.stac-item
2023-01-01 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2023-01-01_final.stac-item
2023-01-22 11:25:26	ga_s2bm_ard_3-2-1_51JWJ_2023-01-22_final.stac-item
2023-01-22 11:25:40	ga_s2bm_ard_3-2-1_51JWH_2023-01-22_final.stac-item
2023-03-26 11:35:04	ga_s2bm_ard_3-2-1_51JUL_2023-03-26_final
2023-03-27 11:04:32	ga_s2bm_ard_3-2-1_52JFS_2023-03-27_final
2023-05-05 11:36:20	ga_s2bm_ard_3-2-1_51JTF_2023-05-05_final
2023-05-14 12:03:15	ga_s2bm_ard_3-2-1_50KLD_2023-05-14_nrt
2023-05-25 11:31:32	ga_s2bm_ard_3-2-1_51LXE_2023-05-25_nrt
2023-07-05 11:04:20	ga_s2bm_ard_3-2-1_52JFT_2023-07-05_final
2023-07-07 11:42:07	ga_s2bm_ard_3-2-1_51LUC_2023-07-07_final
2023-07-08 11:14:26	ga_s2bm_ard_3-2-1_52JCT_2023-07-08_final
2023-07-20 11:52:58	ga_s2bm_ard_3-2-1_50KPE_2023-07-20_nrt
2023-08-29 11:54:27	ga_s2bm_ard_3-2-1_50KNU_2023-08-29_final
2023-09-11 12:04:46	ga_s2bm_ard_3-2-1_50JKT_2023-09-11_final
2023-12-31 11:30:56	ga_s2bm_ard_3-2-1_51LYG_2023-12-31_nrt
2024-01-24 11:16:21	ga_s2bm_ard_3-2-1_51HYE_2024-01-24_final
2024-02-16 11:24:27	ga_s2bm_ard_3-2-1_51JXN_2024-02-16_final
2024-04-10 11:04:47	ga_s2bm_ard_3-2-1_52JER_2024-04-10_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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