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
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KGP_2017-09-15_final.stac-item
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51JVH_2017-09-23_final.stac-item
2017-10-15 12:14:28	ga_s2bm_ard_3-2-1_49JFM_2017-10-15_final.stac-item
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51HVD_2017-12-09_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGJ_2018-03-11_final.stac-item
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50HPJ_2018-03-12_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JKT_2018-03-21_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KVV_2018-05-11_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50KKA_2018-05-20_final.stac-item
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51KVA_2018-06-23_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JMN_2018-08-05_final.stac-item
2018-08-19 11:26:54	ga_s2bm_ard_3-2-1_51KWB_2018-08-19_final.stac-item
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49JGM_2018-09-30_final.stac-item
2018-11-16 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2018-11-16_final.stac-item
2018-12-13 11:53:24	ga_s2bm_ard_3-2-1_50KMC_2018-12-13_final.stac-item
2018-12-24 11:27:03	ga_s2bm_ard_3-2-1_51HTC_2018-12-24_final.stac-item
2019-01-19 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2019-01-19_final.stac-item
2019-01-22 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-01-22_final.stac-item
2019-04-06 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2019-04-06_final.stac-item
2019-05-03 11:25:17	ga_s2bm_ard_3-2-1_51JXK_2019-05-03_final.stac-item
2019-06-08 11:46:45	ga_s2bm_ard_3-2-1_50HNK_2019-06-08_final.stac-item
2019-06-24 12:04:07	ga_s2bm_ard_3-2-1_49KHR_2019-06-24_final.stac-item
2019-08-07 11:43:26	ga_s2bm_ard_3-2-1_50KRC_2019-08-07_final.stac-item
2019-08-23 12:03:46	ga_s2bm_ard_3-2-1_50KLB_2019-08-23_final.stac-item
2019-09-16 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2019-09-16_final.stac-item
2019-09-19 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2019-09-19_final.stac-item
2019-10-03 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-10-03_final.stac-item
2019-10-23 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2019-10-23_final.stac-item
2019-12-21 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2019-12-21_final.stac-item
2020-01-01 11:36:09	ga_s2bm_ard_3-2-1_51JUF_2020-01-01_final.stac-item
2020-01-08 11:25:00	ga_s2bm_ard_3-2-1_51JYK_2020-01-08_final.stac-item
2020-01-21 11:35:51	ga_s2bm_ard_3-2-1_51JVG_2020-01-21_final.stac-item
2020-02-07 11:24:31	ga_s2bm_ard_3-2-1_51JYM_2020-02-07_final.stac-item
2020-02-19 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2020-02-19_final.stac-item
2020-04-02 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-04-02_final.stac-item
2020-04-07 11:26:26	ga_s2bm_ard_3-2-1_51HVE_2020-04-07_final.stac-item
2020-04-30 11:32:37	ga_s2bm_ard_3-2-1_51KWV_2020-04-30_final.stac-item
2020-05-29 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2020-05-29_final.stac-item
2020-07-11 12:13:41	ga_s2bm_ard_3-2-1_50KKB_2020-07-11_final.stac-item
2020-07-19 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2020-07-19_final.stac-item
2020-07-19 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2020-07-19_final.stac-item
2020-08-31 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2020-08-31_final.stac-item
2020-09-03 11:56:11	ga_s2bm_ard_3-2-1_50JMM_2020-09-03_final.stac-item
2020-10-03 11:53:20	ga_s2bm_ard_3-2-1_50KQC_2020-10-03_final.stac-item
2020-10-30 11:44:16	ga_s2bm_ard_3-2-1_51KUP_2020-10-30_final.stac-item
2020-11-26 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2020-11-26_final.stac-item
2020-11-29 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2020-11-29_final.stac-item
2021-01-22 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2021-01-22_final.stac-item
2021-02-07 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-02-07_final.stac-item
2021-02-17 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2021-02-17_final.stac-item
2021-02-27 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-02-27_final.stac-item
2021-04-25 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2021-04-25_final.stac-item
2021-05-18 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2021-05-18_final.stac-item
2021-05-28 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2021-05-28_final.stac-item
2021-06-11 11:24:13	ga_s2bm_ard_3-2-1_51KXP_2021-06-11_final.stac-item
2021-07-07 11:42:37	ga_s2bm_ard_3-2-1_51KVA_2021-07-07_final.stac-item
2021-07-17 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2021-07-17_final.stac-item
2021-07-24 11:35:58	ga_s2bm_ard_3-2-1_51JVG_2021-07-24_final.stac-item
2021-08-12 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-08-12_final.stac-item
2021-08-16 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2021-08-16_final.stac-item
2021-09-18 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2021-09-18_final.stac-item
2021-10-25 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2021-10-25_final.stac-item
2021-10-25 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2021-10-25_final.stac-item
2021-12-17 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2021-12-17_final.stac-item
2021-12-18 11:25:04	ga_s2bm_ard_3-2-1_51JXK_2021-12-18_final.stac-item
2022-02-19 11:32:23	ga_s2bm_ard_3-2-1_51KWA_2022-02-19_final.stac-item
2022-03-15 11:16:42	ga_s2bm_ard_3-2-1_51HWD_2022-03-15_final.stac-item
2022-03-30 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-03-30_final.stac-item
2022-03-30 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2022-03-30_final.stac-item
2022-04-24 11:16:17	ga_s2bm_ard_3-2-1_51HYE_2022-04-24_final.stac-item
2022-05-10 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2022-05-10_final.stac-item
2022-05-20 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2022-05-20_final.stac-item
2022-05-20 11:36:17	ga_s2bm_ard_3-2-1_51JTF_2022-05-20_final.stac-item
2022-06-19 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2022-06-19_final.stac-item
2022-07-02 11:43:02	ga_s2bm_ard_3-2-1_51KVU_2022-07-02_final.stac-item
2022-07-13 11:15:47	ga_s2bm_ard_3-2-1_51JXH_2022-07-13_final.stac-item
2022-07-16 11:24:19	ga_s2bm_ard_3-2-1_51KWP_2022-07-16_final.stac-item
2022-08-07 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2022-08-07_final.stac-item
2022-09-06 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2022-09-06_final.stac-item
2022-09-06 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2022-09-06_final.stac-item
2022-09-10 11:42:11	ga_s2bm_ard_3-2-1_51KWB_2022-09-10_final.stac-item
2022-09-14 11:26:34	ga_s2bm_ard_3-2-1_51HUE_2022-09-14_final.stac-item
2022-09-16 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2022-09-16_final.stac-item
2022-09-30 11:44:01	ga_s2bm_ard_3-2-1_50KRV_2022-09-30_final.stac-item
2022-12-26 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2022-12-26_final.stac-item
2022-12-26 11:34:42	ga_s2bm_ard_3-2-1_51JVM_2022-12-26_final.stac-item
2023-01-12 11:23:53	ga_s2bm_ard_3-2-1_51KXQ_2023-01-12_final.stac-item
2023-01-29 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2023-01-29_final.stac-item
2023-01-31 11:56:13	ga_s2bm_ard_3-2-1_50JMM_2023-01-31_final.stac-item
2023-05-09 11:15:45	ga_s2bm_ard_3-2-1_51JXH_2023-05-09_final
2023-06-23 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2023-06-23_final
2023-07-07 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-07-07_final
2023-07-23 12:03:29	ga_s2bm_ard_3-2-1_50KMC_2023-07-23_final
2023-11-14 11:44:06	ga_s2bm_ard_3-2-1_50KQV_2023-11-14_final
2024-01-06 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2024-01-06_final
2024-03-13 11:43:59	ga_s2bm_ard_3-2-1_50KRV_2024-03-13_final
2024-03-17 11:25:12	ga_s2bm_ard_3-2-1_51JWK_2024-03-17_final
2024-03-20 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2024-03-20_final
2024-03-27 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2024-03-27_final
2024-04-19 11:37:27	ga_s2bm_ard_3-2-1_50HPG_2024-04-19_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