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
2017-07-09 11:12:15	ga_s2bm_ard_3-2-1_52KFD_2017-07-09_final.stac-item
2017-09-11 10:47:16	ga_s2bm_ard_3-2-1_53KKB_2017-09-11_final.stac-item
2017-11-17 10:37:14	ga_s2bm_ard_3-2-1_53KRB_2017-11-17_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KXU_2017-11-22_final.stac-item
2018-02-01 10:57:09	ga_s2bm_ard_3-2-1_52LGK_2018-02-01_final.stac-item
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51KXR_2018-02-07_final.stac-item
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_52LEJ_2018-03-06_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51HUD_2018-05-21_final.stac-item
2018-06-15 10:37:25	ga_s2bm_ard_3-2-1_53JLH_2018-06-15_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51KUV_2018-07-23_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51LUF_2018-07-23_final.stac-item
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_52KCB_2018-08-13_final.stac-item
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51HUE_2018-09-05_final.stac-item
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_52KCD_2018-10-25_final.stac-item
2018-11-08 11:02:52	ga_s2bm_ard_3-2-1_52KHC_2018-11-08_final.stac-item
2018-12-09 10:34:55	ga_s2bm_ard_3-2-1_53JQJ_2018-12-09_final.stac-item
2018-12-14 11:26:55	ga_s2bm_ard_3-2-1_51HUC_2018-12-14_final.stac-item
2018-12-21 11:16:18	ga_s2bm_ard_3-2-1_51HYE_2018-12-21_final.stac-item
2018-12-27 11:31:14	ga_s2bm_ard_3-2-1_51LZE_2018-12-27_final.stac-item
2019-01-30 11:13:14	ga_s2bm_ard_3-2-1_52KBC_2019-01-30_final.stac-item
2019-02-04 10:26:54	ga_s2bm_ard_3-2-1_53HNB_2019-02-04_final.stac-item
2019-02-25 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2019-02-25_final.stac-item
2019-04-10 11:13:34	ga_s2bm_ard_3-2-1_52KEA_2019-04-10_final.stac-item
2019-04-23 11:23:49	ga_s2bm_ard_3-2-1_51KXR_2019-04-23_final.stac-item
2019-05-13 11:24:13	ga_s2bm_ard_3-2-1_52KBU_2019-05-13_final.stac-item
2019-05-28 10:36:11	ga_s2bm_ard_3-2-1_53HPE_2019-05-28_final.stac-item
2019-06-04 12:04:18	ga_s2bm_ard_3-2-1_50KLV_2019-06-04_final.stac-item
2019-06-11 11:56:33	ga_s2bm_ard_3-2-1_50JLL_2019-06-11_final.stac-item
2019-06-15 11:34:07	ga_s2bm_ard_3-2-1_51KVQ_2019-06-15_final.stac-item
2019-06-16 11:03:42	ga_s2bm_ard_3-2-1_52KEA_2019-06-16_final.stac-item
2019-07-07 10:34:59	ga_s2bm_ard_3-2-1_53JPK_2019-07-07_final.stac-item
2019-07-08 11:43:38	ga_s2bm_ard_3-2-1_51KUS_2019-07-08_final.stac-item
2019-07-23 10:54:56	ga_s2bm_ard_3-2-1_52JFR_2019-07-23_final.stac-item
2019-09-21 10:50:48	ga_s2bm_ard_3-2-1_53LPF_2019-09-21_final.stac-item
2019-09-29 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2019-09-29_final.stac-item
2019-10-07 11:13:52	ga_s2bm_ard_3-2-1_52KCV_2019-10-07_final.stac-item
2019-11-12 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2019-11-12_final.stac-item
2019-11-23 11:01:57	ga_s2bm_ard_3-2-1_52KGG_2019-11-23_final.stac-item
2020-01-09 10:52:54	ga_s2bm_ard_3-2-1_52KHC_2020-01-09_final.stac-item
2020-02-03 11:42:50	ga_s2bm_ard_3-2-1_51KVU_2020-02-03_final.stac-item
2020-02-17 11:24:07	ga_s2bm_ard_3-2-1_51KXP_2020-02-17_final.stac-item
2020-03-12 11:03:14	ga_s2bm_ard_3-2-1_52KFB_2020-03-12_final.stac-item
2020-03-23 10:34:59	ga_s2bm_ard_3-2-1_53JQJ_2020-03-23_final.stac-item
2020-05-03 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2020-05-03_final.stac-item
2020-06-03 11:13:30	ga_s2bm_ard_3-2-1_51KZS_2020-06-03_final.stac-item
2020-07-04 10:46:08	ga_s2bm_ard_3-2-1_53HME_2020-07-04_final.stac-item
2020-09-28 11:03:08	ga_s2bm_ard_3-2-1_52KEC_2020-09-28_final.stac-item
2020-12-03 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2020-12-03_final.stac-item
2020-12-31 10:42:10	ga_s2bm_ard_3-2-1_53KRV_2020-12-31_final.stac-item
2021-01-19 11:11:16	ga_s2bm_ard_3-2-1_52LFK_2021-01-19_final.stac-item
2021-01-25 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2021-01-25_final
2021-02-05 11:00:25	ga_s2bm_ard_3-2-1_53LLH_2021-02-05_final
2021-02-25 11:01:27	ga_s2bm_ard_3-2-1_52LHJ_2021-02-25_final.stac-item
2021-04-04 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2021-04-04_final.stac-item
2021-04-15 11:34:11	ga_s2bm_ard_3-2-1_51JXN_2021-04-15_final.stac-item
2021-05-08 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2021-05-08_final.stac-item
2021-05-21 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2021-05-21_final.stac-item
2021-06-20 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2021-06-20_final.stac-item
2021-08-08 10:46:25	ga_s2bm_ard_3-2-1_53HLD_2021-08-08_final.stac-item
2021-08-11 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2021-08-11_final.stac-item
2021-08-18 10:45:47	ga_s2bm_ard_3-2-1_52JGM_2021-08-18_final.stac-item
2021-09-19 11:21:21	ga_s2bm_ard_3-2-1_52LBK_2021-09-19_final.stac-item
2021-09-24 10:33:29	ga_s2bm_ard_3-2-1_53KRQ_2021-09-24_final.stac-item
2021-10-14 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2021-10-14_final.stac-item
2021-11-05 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2021-11-05_final.stac-item
2022-02-03 11:11:28	ga_s2bm_ard_3-2-1_52LEJ_2022-02-03_final.stac-item
2022-03-05 11:11:13	ga_s2bm_ard_3-2-1_52LFK_2022-03-05_final.stac-item
2022-03-31 11:31:56	ga_s2bm_ard_3-2-1_51LWC_2022-03-31_final.stac-item
2022-06-09 11:31:44	ga_s2bm_ard_3-2-1_51LXD_2022-06-09_final.stac-item
2022-06-23 11:15:16	ga_s2bm_ard_3-2-1_52JDP_2022-06-23_final.stac-item
2022-09-01 11:15:44	ga_s2bm_ard_3-2-1_51JXH_2022-09-01_final.stac-item
2022-09-10 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2022-09-10_final.stac-item
2022-09-18 11:00:32	ga_s2bm_ard_3-2-1_52LHN_2022-09-18_final.stac-item
2022-10-11 11:13:38	ga_s2bm_ard_3-2-1_52KBA_2022-10-11_final.stac-item
2022-10-17 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2022-10-17_final.stac-item
2022-10-19 10:36:06	ga_s2bm_ard_3-2-1_53HNE_2022-10-19_final.stac-item
2022-11-20 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2022-11-20_final.stac-item
2022-12-11 10:42:58	ga_s2bm_ard_3-2-1_53KQS_2022-12-11_final.stac-item
2022-12-20 11:11:33	ga_s2bm_ard_3-2-1_52LEJ_2022-12-20_final.stac-item
2022-12-25 12:04:12	ga_s2bm_ard_3-2-1_50KKV_2022-12-25_final.stac-item
2023-01-26 11:04:04	ga_s2bm_ard_3-2-1_52KDU_2023-01-26_final.stac-item
2023-01-29 11:14:21	ga_s2bm_ard_3-2-1_51JZN_2023-01-29_final.stac-item
2023-02-25 11:04:00	ga_s2bm_ard_3-2-1_52KFU_2023-02-25_final
2023-03-01 10:44:21	ga_s2bm_ard_3-2-1_53JNM_2023-03-01_final
2023-03-03 11:21:25	ga_s2bm_ard_3-2-1_52LBK_2023-03-03_final
2023-04-11 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2023-04-11_final
2023-05-14 10:26:50	ga_s2bm_ard_3-2-1_53HQB_2023-05-14_final
2023-05-26 11:03:46	ga_s2bm_ard_3-2-1_52KGV_2023-05-26_final
2023-06-18 11:13:35	ga_s2bm_ard_3-2-1_52KEA_2023-06-18_final
2023-06-25 11:04:47	ga_s2bm_ard_3-2-1_52JFR_2023-06-25_final
2023-08-03 11:33:53	ga_s2bm_ard_3-2-1_51KUR_2023-08-03_final
2023-08-08 10:45:34	ga_s2bm_ard_3-2-1_53JKH_2023-08-08_final
2023-10-25 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2023-10-25_final
2023-12-08 11:24:01	ga_s2bm_ard_3-2-1_52KBU_2023-12-08_final
2023-12-15 11:15:23	ga_s2bm_ard_3-2-1_51JYJ_2023-12-15_final
2024-02-20 11:03:28	ga_s2bm_ard_3-2-1_52KGA_2024-02-20_final
2024-03-04 11:11:30	ga_s2bm_ard_3-2-1_52LEJ_2024-03-04_final
2024-03-12 10:35:49	ga_s2bm_ard_3-2-1_53JNF_2024-03-12_final
2024-04-04 10:43:50	ga_s2bm_ard_3-2-1_53KNP_2024-04-04_final
2024-04-30 11:04:43	ga_s2bm_ard_3-2-1_52JFR_2024-04-30_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

All years