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 11:45:07	ga_s2bm_ard_3-2-1_50HPK_2017-08-07_final.stac-item
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51HVD_2017-09-30_final.stac-item
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KVU_2017-11-02_final.stac-item
2017-11-10 10:53:01	ga_s2bm_ard_3-2-1_52JGM_2017-11-10_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KVP_2017-11-12_final.stac-item
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52JDL_2017-11-13_final.stac-item
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KVS_2018-02-10_final.stac-item
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_52KCE_2018-02-17_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51JTK_2018-03-05_final.stac-item
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_50JPS_2018-03-25_final.stac-item
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_51KZR_2018-07-04_final.stac-item
2018-08-26 11:17:49	ga_s2bm_ard_3-2-1_51KZT_2018-08-26_final.stac-item
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52KEC_2018-08-30_final.stac-item
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_52KEA_2018-10-12_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HMK_2018-10-14_final.stac-item
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JKM_2018-10-24_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JKP_2018-11-03_final.stac-item
2019-01-16 11:35:15	ga_s2bm_ard_3-2-1_51JUK_2019-01-16_final.stac-item
2019-01-26 11:35:04	ga_s2bm_ard_3-2-1_51JTL_2019-01-26_final.stac-item
2019-03-20 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2019-03-20_final.stac-item
2019-03-23 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2019-03-23_final.stac-item
2019-04-12 11:55:11	ga_s2bm_ard_3-2-1_50JNR_2019-04-12_final.stac-item
2019-07-02 11:23:53	ga_s2bm_ard_3-2-1_51KZR_2019-07-02_final.stac-item
2019-08-20 11:53:16	ga_s2bm_ard_3-2-1_50KRC_2019-08-20_final.stac-item
2019-10-13 11:34:07	ga_s2bm_ard_3-2-1_51KXP_2019-10-13_final.stac-item
2019-10-27 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2019-10-27_final.stac-item
2019-11-29 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2019-11-29_final.stac-item
2019-12-22 11:32:14	ga_s2bm_ard_3-2-1_51KVB_2019-12-22_final.stac-item
2019-12-26 11:12:45	ga_s2bm_ard_3-2-1_52KDD_2019-12-26_final.stac-item
2020-02-09 12:04:01	ga_s2bm_ard_3-2-1_50KMV_2020-02-09_final.stac-item
2020-02-17 11:24:47	ga_s2bm_ard_3-2-1_51JYL_2020-02-17_final.stac-item
2020-02-20 11:34:54	ga_s2bm_ard_3-2-1_51JVL_2020-02-20_final.stac-item
2020-02-26 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2020-02-26_final.stac-item
2020-03-07 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2020-03-07_final.stac-item
2020-03-14 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2020-03-14_final.stac-item
2020-04-06 11:54:08	ga_s2bm_ard_3-2-1_50KMV_2020-04-06_final.stac-item
2020-04-07 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2020-04-07_final.stac-item
2020-04-20 11:34:56	ga_s2bm_ard_3-2-1_51JUL_2020-04-20_final.stac-item
2020-05-10 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2020-05-10_final.stac-item
2020-07-13 11:15:31	ga_s2bm_ard_3-2-1_51JXJ_2020-07-13_final.stac-item
2020-07-28 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-07-28_final.stac-item
2020-07-28 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2020-07-28_final.stac-item
2020-08-17 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2020-08-17_final.stac-item
2020-10-04 11:24:26	ga_s2bm_ard_3-2-1_51JYN_2020-10-04_final.stac-item
2020-10-24 11:22:52	ga_s2bm_ard_3-2-1_52KCD_2020-10-24_final.stac-item
2020-12-09 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2020-12-09_final.stac-item
2021-01-16 11:03:19	ga_s2bm_ard_3-2-1_52KEB_2021-01-16_final.stac-item
2021-02-01 11:22:08	ga_s2bm_ard_3-2-1_51KZB_2021-02-01_final.stac-item
2021-03-03 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2021-03-03_final.stac-item
2021-03-13 11:26:32	ga_s2bm_ard_3-2-1_51HUE_2021-03-13_final.stac-item
2021-05-29 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2021-05-29_final.stac-item
2021-06-18 11:13:37	ga_s2bm_ard_3-2-1_52KCA_2021-06-18_final.stac-item
2021-07-22 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2021-07-22_final.stac-item
2021-07-30 11:55:04	ga_s2bm_ard_3-2-1_50JPR_2021-07-30_final.stac-item
2021-08-22 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2021-08-22_final.stac-item
2021-09-02 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2021-09-02_final.stac-item
2021-09-11 12:04:44	ga_s2bm_ard_3-2-1_49JHM_2021-09-11_final.stac-item
2021-09-15 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2021-09-15_final.stac-item
2021-09-25 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-09-25_final.stac-item
2021-10-19 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2021-10-19_final.stac-item
2021-11-08 11:25:42	ga_s2bm_ard_3-2-1_51JWH_2021-11-08_final.stac-item
2021-11-18 11:25:02	ga_s2bm_ard_3-2-1_51JXK_2021-11-18_final.stac-item
2021-11-25 11:15:03	ga_s2bm_ard_3-2-1_52JBQ_2021-11-25_final.stac-item
2021-12-05 11:14:12	ga_s2bm_ard_3-2-1_52JDT_2021-12-05_final.stac-item
2021-12-17 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2021-12-17_final.stac-item
2021-12-21 11:35:57	ga_s2bm_ard_3-2-1_51JTG_2021-12-21_final.stac-item
2022-01-20 11:32:57	ga_s2bm_ard_3-2-1_51KVU_2022-01-20_final.stac-item
2022-01-24 11:16:05	ga_s2bm_ard_3-2-1_52JBL_2022-01-24_final.stac-item
2022-03-18 11:23:14	ga_s2bm_ard_3-2-1_52KCB_2022-03-18_final.stac-item
2022-05-23 11:45:00	ga_s2bm_ard_3-2-1_51JTL_2022-05-23_final.stac-item
2022-05-26 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2022-05-26_final.stac-item
2022-08-05 11:26:40	ga_s2bm_ard_3-2-1_51HXD_2022-08-05_final.stac-item
2022-08-08 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2022-08-08_final.stac-item
2022-08-31 11:44:17	ga_s2bm_ard_3-2-1_51KTP_2022-08-31_final.stac-item
2022-10-21 11:13:29	ga_s2bm_ard_3-2-1_52KEA_2022-10-21_final.stac-item
2022-10-28 11:03:36	ga_s2bm_ard_3-2-1_52KEA_2022-10-28_final.stac-item
2022-11-18 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2022-11-18_final.stac-item
2022-11-19 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2022-11-19_final.stac-item
2022-11-20 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2022-11-20_final.stac-item
2022-12-29 13:21:44	ga_s2bm_ard_3-2-1_46LHM_2022-12-29_interim
2023-03-26 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2023-03-26_final
2023-04-19 11:16:04	ga_s2bm_ard_3-2-1_52JCL_2023-04-19_final
2023-05-01 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2023-05-01_final
2023-05-14 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2023-05-14_final
2023-07-02 10:55:04	ga_s2bm_ard_3-2-1_52JGQ_2023-07-02_final
2023-07-08 11:13:24	ga_s2bm_ard_3-2-1_52KDB_2023-07-08_final
2023-08-13 11:34:16	ga_s2bm_ard_3-2-1_51KWP_2023-08-13_final
2023-08-23 11:35:02	ga_s2bm_ard_3-2-1_51JVL_2023-08-23_final
2023-10-10 10:54:23	ga_s2bm_ard_3-2-1_52JFT_2023-10-10_final
2023-11-12 11:04:37	ga_s2bm_ard_3-2-1_52JDS_2023-11-12_final
2023-12-12 11:05:49	ga_s2bm_ard_3-2-1_52JCM_2023-12-12_final
2024-01-04 11:15:51	ga_s2bm_ard_3-2-1_52JBM_2024-01-04_final
2024-02-03 11:15:27	ga_s2bm_ard_3-2-1_51JXJ_2024-02-03_final
2024-02-13 11:16:35	ga_s2bm_ard_3-2-1_52HBJ_2024-02-13_nrt
2024-02-15 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2024-02-15_final
2024-03-07 11:24:50	ga_s2bm_ard_3-2-1_51JXL_2024-03-07_final
2024-03-17 11:25:51	ga_s2bm_ard_3-2-1_51JXG_2024-03-17_final
2024-03-20 11:31:48	ga_s2bm_ard_3-2-1_51LYC_2024-03-20_final
2024-03-24 11:12:21	ga_s2bm_ard_3-2-1_52KDF_2024-03-24_final
2024-05-02 11:45:47	ga_s2bm_ard_3-2-1_50JQN_2024-05-02_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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