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
2017-08-02 10:53:14	ga_s2bm_ard_3-2-1_52JFM_2017-08-02_final.stac-item
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51KVT_2017-09-23_final.stac-item
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52KDV_2018-01-22_final.stac-item
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_52KEA_2018-02-14_final.stac-item
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JWH_2018-02-17_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JLL_2018-02-26_final.stac-item
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_52JBP_2018-08-23_final.stac-item
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52JCM_2018-08-30_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JVF_2018-10-05_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HMJ_2018-10-14_final.stac-item
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_52KEB_2018-11-01_final.stac-item
2018-11-18 11:05:56	ga_s2bm_ard_3-2-1_52JEL_2018-11-18_final.stac-item
2018-12-03 11:55:45	ga_s2bm_ard_3-2-1_50JNN_2018-12-03_final.stac-item
2018-12-14 11:21:11	ga_s2bm_ard_3-2-1_51LZE_2018-12-14_final.stac-item
2019-01-23 11:23:06	ga_s2bm_ard_3-2-1_52KBC_2019-01-23_final.stac-item
2019-01-25 12:03:44	ga_s2bm_ard_3-2-1_50KNA_2019-01-25_final.stac-item
2019-04-06 11:33:06	ga_s2bm_ard_3-2-1_51KYT_2019-04-06_final.stac-item
2019-04-15 12:05:32	ga_s2bm_ard_3-2-1_50JKQ_2019-04-15_final.stac-item
2019-05-23 11:27:07	ga_s2bm_ard_3-2-1_51HVC_2019-05-23_final.stac-item
2019-05-26 11:35:10	ga_s2bm_ard_3-2-1_51JUL_2019-05-26_final.stac-item
2019-06-09 11:14:02	ga_s2bm_ard_3-2-1_52KBV_2019-06-09_final.stac-item
2019-07-16 11:03:28	ga_s2bm_ard_3-2-1_52KEB_2019-07-16_final.stac-item
2019-09-06 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2019-09-06_final.stac-item
2019-09-26 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2019-09-26_final.stac-item
2019-10-03 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2019-10-03_final.stac-item
2019-10-12 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2019-10-12_final.stac-item
2019-11-01 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2019-11-01_final.stac-item
2019-11-09 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2019-11-09_final.stac-item
2019-12-05 11:42:54	ga_s2bm_ard_3-2-1_51KUU_2019-12-05_final.stac-item
2020-01-05 11:13:24	ga_s2bm_ard_3-2-1_51KZS_2020-01-05_final.stac-item
2020-02-10 11:34:27	ga_s2bm_ard_3-2-1_51JUN_2020-02-10_final.stac-item
2020-02-10 11:34:44	ga_s2bm_ard_3-2-1_51JTM_2020-02-10_final.stac-item
2020-02-20 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2020-02-20_final.stac-item
2020-04-10 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2020-04-10_final.stac-item
2020-05-13 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2020-05-13_final.stac-item
2020-07-16 11:23:07	ga_s2bm_ard_3-2-1_52KBC_2020-07-16_final.stac-item
2020-10-14 11:23:32	ga_s2bm_ard_3-2-1_51KXS_2020-10-14_final.stac-item
2020-10-17 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2020-10-17_final.stac-item
2020-10-20 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2020-10-20_final.stac-item
2020-10-27 11:32:58	ga_s2bm_ard_3-2-1_51KXU_2020-10-27_final.stac-item
2020-11-30 11:14:20	ga_s2bm_ard_3-2-1_52JCT_2020-11-30_final.stac-item
2020-12-06 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2020-12-06_final.stac-item
2020-12-10 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2020-12-10_final.stac-item
2021-01-29 11:12:17	ga_s2bm_ard_3-2-1_52KEF_2021-01-29_final.stac-item
2021-02-01 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2021-02-01_final.stac-item
2021-02-01 11:25:45	ga_s2bm_ard_3-2-1_51JVH_2021-02-01_final.stac-item
2021-02-24 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2021-02-24_final.stac-item
2021-03-03 11:25:05	ga_s2bm_ard_3-2-1_51JYK_2021-03-03_final.stac-item
2021-03-06 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2021-03-06_final.stac-item
2021-03-16 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2021-03-16_final.stac-item
2021-04-16 11:03:30	ga_s2bm_ard_3-2-1_52KEA_2021-04-16_final.stac-item
2021-05-26 11:03:46	ga_s2bm_ard_3-2-1_52KFV_2021-05-26_final.stac-item
2021-06-06 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-06-06_final.stac-item
2021-06-11 11:23:28	ga_s2bm_ard_3-2-1_52KCA_2021-06-11_final.stac-item
2021-06-24 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2021-06-24_final.stac-item
2021-06-28 11:12:50	ga_s2bm_ard_3-2-1_52KDD_2021-06-28_final.stac-item
2021-07-24 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2021-07-24_final.stac-item
2021-08-16 11:42:21	ga_s2bm_ard_3-2-1_51KWA_2021-08-16_final.stac-item
2021-09-29 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2021-09-29_final.stac-item
2021-10-19 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2021-10-19_final.stac-item
2021-11-30 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2021-11-30_final.stac-item
2022-02-06 11:23:19	ga_s2bm_ard_3-2-1_51KYS_2022-02-06_final.stac-item
2022-02-15 11:55:09	ga_s2bm_ard_3-2-1_50JPQ_2022-02-15_final.stac-item
2022-04-13 11:45:40	ga_s2bm_ard_3-2-1_50JQN_2022-04-13_final.stac-item
2022-04-20 11:36:47	ga_s2bm_ard_3-2-1_50HPJ_2022-04-20_final.stac-item
2022-04-27 11:26:22	ga_s2bm_ard_3-2-1_51HVE_2022-04-27_final.stac-item
2022-06-09 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2022-06-09_final.stac-item
2022-07-21 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2022-07-21_final.stac-item
2022-10-10 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2022-10-10_final.stac-item
2022-10-30 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2022-10-30_final.stac-item
2022-11-17 11:06:23	ga_s2bm_ard_3-2-1_52HBK_2022-11-17_final.stac-item
2022-12-23 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2022-12-23_final.stac-item
2022-12-27 11:06:23	ga_s2bm_ard_3-2-1_52HBK_2022-12-27_final.stac-item
2023-01-06 11:02:31	ga_s2bm_ard_3-2-1_52KFE_2023-01-06_final.stac-item
2023-01-08 13:21:41	ga_s2bm_ard_3-2-1_47LKG_2023-01-08_interim
2023-02-21 11:22:49	ga_s2bm_ard_3-2-1_52KBD_2023-02-21_nrt.stac-item
2023-02-21 11:22:49	ga_s2bm_ard_3-2-1_52KBD_2023-02-21_final
2023-03-25 12:04:37	ga_s2bm_ard_3-2-1_49KGP_2023-03-25_final
2023-05-19 12:51:04	ga_s2bm_ard_3-2-1_48LWP_2023-05-19_final
2023-05-25 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2023-05-25_final
2023-05-31 11:55:46	ga_s2bm_ard_3-2-1_50JLP_2023-05-31_final
2023-06-21 11:26:36	ga_s2bm_ard_3-2-1_51HUE_2023-06-21_final
2023-06-28 11:14:21	ga_s2bm_ard_3-2-1_52JDT_2023-06-28_final
2023-07-01 11:22:04	ga_s2bm_ard_3-2-1_51LYC_2023-07-01_final
2023-07-04 11:33:00	ga_s2bm_ard_3-2-1_51KXU_2023-07-04_final
2023-07-27 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2023-07-27_final
2023-08-13 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2023-08-13_final
2023-08-26 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2023-08-26_final
2023-10-09 11:23:11	ga_s2bm_ard_3-2-1_51KYT_2023-10-09_final
2023-11-11 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2023-11-11_final
2023-11-22 11:02:36	ga_s2bm_ard_3-2-1_52KHD_2023-11-22_final
2023-12-31 11:35:55	ga_s2bm_ard_3-2-1_51JTH_2023-12-31_final
2024-01-17 11:21:24	ga_s2bm_ard_3-2-1_51LZE_2024-01-17_final
2024-01-23 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2024-01-23_final
2024-02-06 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2024-02-06_final
2024-03-06 11:56:09	ga_s2bm_ard_3-2-1_50JKM_2024-03-06_final
2024-03-07 11:21:05	ga_s2bm_ard_3-2-1_51LZF_2024-03-07_nrt
2024-03-10 11:31:47	ga_s2bm_ard_3-2-1_51LXC_2024-03-10_final
2024-03-17 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2024-03-17_final
2024-05-09 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2024-05-09_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