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
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_52JCM_2017-11-03_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KVT_2017-12-05_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51LUF_2017-12-05_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KUR_2018-01-24_final.stac-item
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KWR_2018-03-02_final.stac-item
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50JNM_2018-05-14_final.stac-item
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51LUE_2018-05-24_final.stac-item
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KWR_2018-06-10_final.stac-item
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KXS_2018-06-27_final.stac-item
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KXU_2018-07-20_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JLM_2018-09-04_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXS_2018-10-28_final.stac-item
2018-11-09 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2018-11-09_final.stac-item
2018-11-19 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2018-11-19_final.stac-item
2018-12-01 11:15:28	ga_s2bm_ard_3-2-1_52JCN_2018-12-01_final.stac-item
2019-01-02 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2019-01-02_final.stac-item
2019-04-06 11:33:56	ga_s2bm_ard_3-2-1_51KXQ_2019-04-06_final.stac-item
2019-09-03 11:33:45	ga_s2bm_ard_3-2-1_51KWR_2019-09-03_final.stac-item
2019-09-03 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2019-09-03_final.stac-item
2019-10-13 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2019-10-13_final.stac-item
2019-11-19 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2019-11-19_final.stac-item
2019-11-22 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2019-11-22_final.stac-item
2019-12-11 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2019-12-11_final.stac-item
2020-01-18 11:22:03	ga_s2bm_ard_3-2-1_51KZB_2020-01-18_final.stac-item
2020-05-23 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2020-05-23_final.stac-item
2020-06-02 11:44:50	ga_s2bm_ard_3-2-1_50JQS_2020-06-02_final.stac-item
2020-07-23 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2020-07-23_final.stac-item
2020-08-05 11:22:55	ga_s2bm_ard_3-2-1_51KZU_2020-08-05_final.stac-item
2020-08-05 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2020-08-05_final.stac-item
2020-08-12 11:13:32	ga_s2bm_ard_3-2-1_51KZS_2020-08-12_final.stac-item
2020-08-15 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2020-08-15_final.stac-item
2020-08-28 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2020-08-28_final.stac-item
2020-09-20 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-09-20_final.stac-item
2020-09-27 11:32:53	ga_s2bm_ard_3-2-1_51KYU_2020-09-27_final.stac-item
2020-09-30 11:43:28	ga_s2bm_ard_3-2-1_51KVS_2020-09-30_final.stac-item
2020-10-27 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2020-10-27_final.stac-item
2020-10-30 11:44:54	ga_s2bm_ard_3-2-1_51JUL_2020-10-30_final.stac-item
2020-11-02 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2020-11-02_final.stac-item
2020-11-09 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2020-11-09_final.stac-item
2020-12-16 11:32:58	ga_s2bm_ard_3-2-1_51KYT_2020-12-16_final.stac-item
2020-12-16 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2020-12-16_final.stac-item
2021-01-15 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2021-01-15_final.stac-item
2021-01-26 11:05:37	ga_s2bm_ard_3-2-1_52JCN_2021-01-26_final.stac-item
2021-01-29 11:14:52	ga_s2bm_ard_3-2-1_52JBR_2021-01-29_final.stac-item
2021-04-28 11:43:14	ga_s2bm_ard_3-2-1_50KRC_2021-04-28_final.stac-item
2021-05-29 11:13:29	ga_s2bm_ard_3-2-1_51KZS_2021-05-29_final.stac-item
2021-09-18 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-09-18_final.stac-item
2021-10-15 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2021-10-15_final.stac-item
2021-10-15 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2021-10-15_final.stac-item
2021-10-19 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2021-10-19_final.stac-item
2021-10-24 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-10-24_final.stac-item
2021-11-30 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2021-11-30_final.stac-item
2021-12-01 11:33:04	ga_s2bm_ard_3-2-1_51KXT_2021-12-01_final.stac-item
2021-12-08 11:23:52	ga_s2bm_ard_3-2-1_51KXQ_2021-12-08_final.stac-item
2021-12-21 11:35:42	ga_s2bm_ard_3-2-1_51JTH_2021-12-21_final.stac-item
2022-01-06 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2022-01-06_final
2022-01-13 11:42:05	ga_s2bm_ard_3-2-1_51KWB_2022-01-13_final.stac-item
2022-03-07 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2022-03-07_final.stac-item
2022-03-21 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2022-03-21_final.stac-item
2022-04-30 11:32:00	ga_s2bm_ard_3-2-1_51KXB_2022-04-30_final.stac-item
2022-04-30 11:32:07	ga_s2bm_ard_3-2-1_51KXB_2022-04-30_final.stac-item
2022-04-30 11:32:19	ga_s2bm_ard_3-2-1_51KXA_2022-04-30_final.stac-item
2022-04-30 11:32:44	ga_s2bm_ard_3-2-1_51KYU_2022-04-30_final.stac-item
2022-05-07 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2022-05-07_final.stac-item
2022-05-17 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2022-05-17_final.stac-item
2022-06-12 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2022-06-12_final.stac-item
2022-07-09 11:32:05	ga_s2bm_ard_3-2-1_51LWC_2022-07-09_final.stac-item
2022-07-29 11:33:18	ga_s2bm_ard_3-2-1_51KWT_2022-07-29_final.stac-item
2022-08-12 11:13:44	ga_s2bm_ard_3-2-1_51KZR_2022-08-12_final.stac-item
2022-08-25 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2022-08-25_final.stac-item
2022-10-31 11:13:27	ga_s2bm_ard_3-2-1_51KZS_2022-10-31_final.stac-item
2022-11-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-25_final.stac-item
2022-11-29 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2022-11-29_final.stac-item
2023-01-15 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2023-01-15_final.stac-item
2023-01-25 11:34:03	ga_s2bm_ard_3-2-1_51KXP_2023-01-25_final.stac-item
2023-02-27 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2023-02-27_final
2023-03-03 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2023-03-03_final
2023-03-16 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2023-03-16_final
2023-03-26 11:33:26	ga_s2bm_ard_3-2-1_51KXS_2023-03-26_final
2023-05-18 11:42:14	ga_s2bm_ard_3-2-1_51KWB_2023-05-18_final
2023-08-06 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2023-08-06_final
2023-08-20 11:22:57	ga_s2bm_ard_3-2-1_51KZU_2023-08-20_final
2023-09-05 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2023-09-05_final
2023-09-26 11:13:57	ga_s2bm_ard_3-2-1_51KZQ_2023-09-26_final
2023-11-07 11:53:24	ga_s2bm_ard_3-2-1_50KPC_2023-11-07_final
2023-11-28 11:23:10	ga_s2bm_ard_3-2-1_51KXT_2023-11-28_final
2023-12-21 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2023-12-21_final
2023-12-28 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2023-12-28_final
2024-01-03 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2024-01-03_final
2024-01-10 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2024-01-10_final
2024-01-30 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2024-01-30_final
2024-02-16 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2024-02-16_final
2024-02-19 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2024-02-19_final
2024-03-12 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2024-03-12_final
2024-03-13 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2024-03-13_final
2024-04-05 11:52:32	ga_s2bm_ard_3-2-1_50KQF_2024-04-05_final
2024-04-10 11:05:45	ga_s2bm_ard_3-2-1_52JEM_2024-04-10_final
2024-04-12 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2024-04-12_final
2024-04-28 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2024-04-28_final
2024-05-09 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_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