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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49JGK_2017-07-24_final.stac-item
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51KZV_2017-09-30_final.stac-item
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_50JQL_2017-11-02_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KVS_2017-12-05_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_50HQH_2017-12-22_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KYR_2017-12-29_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KVU_2018-01-11_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KXV_2018-01-11_final.stac-item
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51HWE_2018-02-17_final.stac-item
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52JGN_2018-03-10_final.stac-item
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_51HUD_2018-03-12_final.stac-item
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_51KZA_2018-03-29_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KVS_2018-04-14_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51JWN_2018-05-21_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KVB_2018-05-21_final.stac-item
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_52JBP_2018-05-25_final.stac-item
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_52JGP_2018-06-08_final.stac-item
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KXQ_2018-06-10_final.stac-item
2018-07-31 11:00:38	ga_s2bm_ard_3-2-1_52JFT_2018-07-31_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50HMK_2018-10-31_final.stac-item
2018-11-14 11:26:44	ga_s2bm_ard_3-2-1_51HUD_2018-11-14_final.stac-item
2018-11-26 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2018-11-26_final.stac-item
2018-12-11 11:14:31	ga_s2bm_ard_3-2-1_51JZM_2018-12-11_final.stac-item
2018-12-23 11:55:49	ga_s2bm_ard_3-2-1_50JMN_2018-12-23_final.stac-item
2019-01-06 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2019-01-06_final.stac-item
2019-03-23 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2019-03-23_final.stac-item
2019-03-23 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2019-03-23_final.stac-item
2019-03-24 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2019-03-24_final.stac-item
2019-04-13 11:23:11	ga_s2bm_ard_3-2-1_52KBC_2019-04-13_final.stac-item
2019-06-09 11:16:05	ga_s2bm_ard_3-2-1_51JXG_2019-06-09_final.stac-item
2019-06-15 11:36:41	ga_s2bm_ard_3-2-1_50HQK_2019-06-15_final.stac-item
2019-07-08 11:47:23	ga_s2bm_ard_3-2-1_50HLH_2019-07-08_final.stac-item
2019-07-11 11:53:48	ga_s2bm_ard_3-2-1_50KNB_2019-07-11_final.stac-item
2019-07-16 11:06:08	ga_s2bm_ard_3-2-1_52JEL_2019-07-16_final.stac-item
2019-07-25 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2019-07-25_final.stac-item
2019-07-25 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-07-25_final.stac-item
2019-08-02 10:54:55	ga_s2bm_ard_3-2-1_52JFR_2019-08-02_final.stac-item
2020-01-05 11:14:36	ga_s2bm_ard_3-2-1_51JYM_2020-01-05_final.stac-item
2020-01-08 11:24:03	ga_s2bm_ard_3-2-1_51KYP_2020-01-08_final.stac-item
2020-01-17 11:56:16	ga_s2bm_ard_3-2-1_50JML_2020-01-17_final.stac-item
2020-03-01 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2020-03-01_final.stac-item
2020-04-13 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2020-04-13_final.stac-item
2020-05-06 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2020-05-06_final.stac-item
2020-05-10 11:34:05	ga_s2bm_ard_3-2-1_51KXP_2020-05-10_final.stac-item
2020-06-02 11:44:12	ga_s2bm_ard_3-2-1_50KPV_2020-06-02_final.stac-item
2020-06-15 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2020-06-15_final.stac-item
2020-07-30 11:05:04	ga_s2bm_ard_3-2-1_52JEQ_2020-07-30_final.stac-item
2020-09-07 11:36:08	ga_s2bm_ard_3-2-1_50JQM_2020-09-07_final.stac-item
2020-09-17 11:35:21	ga_s2bm_ard_3-2-1_51JWJ_2020-09-17_final.stac-item
2020-09-24 11:22:44	ga_s2bm_ard_3-2-1_51KYV_2020-09-24_final.stac-item
2020-09-26 12:04:31	ga_s2bm_ard_3-2-1_50KKU_2020-09-26_final.stac-item
2020-10-04 11:26:00	ga_s2bm_ard_3-2-1_51JWG_2020-10-04_final.stac-item
2020-10-21 11:16:44	ga_s2bm_ard_3-2-1_51HXD_2020-10-21_final.stac-item
2020-10-30 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2020-10-30_final.stac-item
2020-12-09 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2020-12-09_final.stac-item
2020-12-20 11:14:19	ga_s2bm_ard_3-2-1_51JZN_2020-12-20_final.stac-item
2021-02-13 12:05:32	ga_s2bm_ard_3-2-1_50JKQ_2021-02-13_final.stac-item
2021-03-16 11:32:25	ga_s2bm_ard_3-2-1_51KXA_2021-03-16_final.stac-item
2021-05-05 11:35:01	ga_s2bm_ard_3-2-1_51JTL_2021-05-05_final.stac-item
2021-05-25 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2021-05-25_final.stac-item
2021-06-21 11:24:12	ga_s2bm_ard_3-2-1_51KXP_2021-06-21_final.stac-item
2021-06-22 10:56:01	ga_s2bm_ard_3-2-1_52JFL_2021-06-22_final.stac-item
2021-08-22 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2021-08-22_final.stac-item
2021-10-05 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2021-10-05_final.stac-item
2021-10-06 11:16:06	ga_s2bm_ard_3-2-1_52JBL_2021-10-06_final.stac-item
2021-10-13 11:06:04	ga_s2bm_ard_3-2-1_52JDL_2021-10-13_final.stac-item
2021-10-31 12:06:16	ga_s2bm_ard_3-2-1_50JKM_2021-10-31_final.stac-item
2021-11-08 11:25:39	ga_s2bm_ard_3-2-1_51JXH_2021-11-08_final.stac-item
2021-12-16 10:45:51	ga_s2bm_ard_3-2-1_52JGL_2021-12-16_final.stac-item
2022-01-24 11:16:35	ga_s2bm_ard_3-2-1_51HXD_2022-01-24_final.stac-item
2022-03-01 11:32:40	ga_s2bm_ard_3-2-1_51KWV_2022-03-01_final.stac-item
2022-03-08 11:26:27	ga_s2bm_ard_3-2-1_51HVE_2022-03-08_final.stac-item
2022-04-17 11:22:56	ga_s2bm_ard_3-2-1_51KXU_2022-04-17_final.stac-item
2022-05-03 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2022-05-03_final.stac-item
2022-05-30 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2022-05-30_final.stac-item
2022-05-30 11:34:32	ga_s2bm_ard_3-2-1_51JUN_2022-05-30_final.stac-item
2022-06-10 11:06:08	ga_s2bm_ard_3-2-1_52JCL_2022-06-10_final.stac-item
2022-07-29 11:35:46	ga_s2bm_ard_3-2-1_51JVH_2022-07-29_final.stac-item
2022-08-15 11:23:23	ga_s2bm_ard_3-2-1_52KBB_2022-08-15_final.stac-item
2022-09-01 11:16:03	ga_s2bm_ard_3-2-1_52JCL_2022-09-01_final.stac-item
2022-09-08 11:06:12	ga_s2bm_ard_3-2-1_52JBL_2022-09-08_final.stac-item
2022-09-30 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2022-09-30_final.stac-item
2022-11-20 11:14:21	ga_s2bm_ard_3-2-1_51JZN_2022-11-20_final.stac-item
2022-11-23 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2022-11-23_final.stac-item
2022-11-26 11:32:39	ga_s2bm_ard_3-2-1_51KXV_2022-11-26_final.stac-item
2023-01-02 11:22:50	ga_s2bm_ard_3-2-1_52KBD_2023-01-02_final.stac-item
2023-01-09 11:13:36	ga_s2bm_ard_3-2-1_52KBA_2023-01-09_final.stac-item
2023-02-12 10:54:20	ga_s2bm_ard_3-2-1_52JFT_2023-02-12_final
2023-04-05 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2023-04-05_final
2023-04-26 11:05:47	ga_s2bm_ard_3-2-1_52JEM_2023-04-26_final
2023-07-13 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2023-07-13_final
2023-08-17 12:51:05	ga_s2bm_ard_3-2-1_48LWP_2023-08-17_final
2023-08-23 11:35:31	ga_s2bm_ard_3-2-1_51JVJ_2023-08-23_final
2023-09-20 10:55:49	ga_s2bm_ard_3-2-1_52JFM_2023-09-20_final
2023-09-21 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2023-09-21_final
2023-11-10 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2023-11-10_final
2023-11-29 10:54:14	ga_s2bm_ard_3-2-1_52JGT_2023-11-29_final
2023-12-25 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2023-12-25_final
2023-12-28 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2023-12-28_final
2024-01-30 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2024-01-30_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