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
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50JQQ_2017-11-05_final.stac-item
2017-12-06 11:07:01	ga_s2bm_ard_3-2-1_52KCG_2017-12-06_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KWQ_2017-12-19_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KQA_2017-12-25_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JGK_2017-12-31_final.stac-item
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JDR_2018-01-12_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KPC_2018-01-17_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51HUC_2018-01-31_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JUG_2018-02-20_final.stac-item
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_52HBK_2018-03-06_final.stac-item
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_52JCL_2018-04-15_final.stac-item
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51JXG_2018-05-25_final.stac-item
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51KXS_2018-06-07_final.stac-item
2018-07-08 10:51:28	ga_s2bm_ard_3-2-1_52JEL_2018-07-08_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KXR_2018-08-09_final.stac-item
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JNL_2018-10-04_final.stac-item
2018-12-01 11:13:14	ga_s2bm_ard_3-2-1_52KDB_2018-12-01_final.stac-item
2019-01-06 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2019-01-06_final.stac-item
2019-01-23 11:22:08	ga_s2bm_ard_3-2-1_52KBG_2019-01-23_final.stac-item
2019-03-06 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2019-03-06_final.stac-item
2019-03-14 11:24:48	ga_s2bm_ard_3-2-1_51JYL_2019-03-14_final.stac-item
2019-03-31 11:16:25	ga_s2bm_ard_3-2-1_51HYE_2019-03-31_final.stac-item
2019-04-02 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2019-04-02_final.stac-item
2019-04-20 11:14:12	ga_s2bm_ard_3-2-1_52KCU_2019-04-20_final.stac-item
2019-07-05 11:36:37	ga_s2bm_ard_3-2-1_51HUE_2019-07-05_final.stac-item
2019-08-23 12:04:33	ga_s2bm_ard_3-2-1_50KKU_2019-08-23_final.stac-item
2019-08-25 11:05:58	ga_s2bm_ard_3-2-1_52JEM_2019-08-25_final.stac-item
2019-09-03 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2019-09-03_final.stac-item
2020-01-04 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2020-01-04_final.stac-item
2020-01-14 11:44:43	ga_s2bm_ard_3-2-1_50JQS_2020-01-14_final.stac-item
2020-02-27 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2020-02-27_final.stac-item
2020-04-20 11:35:18	ga_s2bm_ard_3-2-1_51JVJ_2020-04-20_final.stac-item
2020-07-05 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2020-07-05_final.stac-item
2020-07-19 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2020-07-19_final.stac-item
2020-07-26 11:25:59	ga_s2bm_ard_3-2-1_51JWG_2020-07-26_final.stac-item
2020-08-11 11:41:59	ga_s2bm_ard_3-2-1_51LWC_2020-08-11_final.stac-item
2020-08-11 11:46:19	ga_s2bm_ard_3-2-1_50JQL_2020-08-11_final.stac-item
2020-09-04 11:23:38	ga_s2bm_ard_3-2-1_51KZR_2020-09-04_final.stac-item
2020-09-10 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-09-10_final.stac-item
2020-09-18 11:05:46	ga_s2bm_ard_3-2-1_52JEM_2020-09-18_final.stac-item
2020-10-05 10:55:17	ga_s2bm_ard_3-2-1_52JGP_2020-10-05_final.stac-item
2020-11-30 11:14:31	ga_s2bm_ard_3-2-1_52JDS_2020-11-30_final.stac-item
2021-01-16 11:05:52	ga_s2bm_ard_3-2-1_52JCM_2021-01-16_final.stac-item
2021-02-10 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-02-10_final.stac-item
2021-02-11 11:25:19	ga_s2bm_ard_3-2-1_51JYJ_2021-02-11_final.stac-item
2021-03-12 11:53:31	ga_s2bm_ard_3-2-1_50KQB_2021-03-12_final.stac-item
2021-04-22 11:23:51	ga_s2bm_ard_3-2-1_51KXQ_2021-04-22_final.stac-item
2021-05-05 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2021-05-05_final.stac-item
2021-06-04 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2021-06-04_final.stac-item
2021-06-06 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-06-06_final.stac-item
2021-06-27 11:43:34	ga_s2bm_ard_3-2-1_50KRB_2021-06-27_final.stac-item
2021-06-28 11:13:37	ga_s2bm_ard_3-2-1_52KCA_2021-06-28_final.stac-item
2021-07-25 11:04:23	ga_s2bm_ard_3-2-1_52JDT_2021-07-25_final.stac-item
2021-09-12 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2021-09-12_final.stac-item
2021-09-26 11:13:27	ga_s2bm_ard_3-2-1_51KZS_2021-09-26_final.stac-item
2021-10-25 11:42:00	ga_s2bm_ard_3-2-1_51LWC_2021-10-25_final.stac-item
2021-10-29 11:23:11	ga_s2bm_ard_3-2-1_51KYT_2021-10-29_final.stac-item
2021-11-11 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2021-11-11_final.stac-item
2021-11-15 11:13:53	ga_s2bm_ard_3-2-1_52KBV_2021-11-15_final.stac-item
2021-11-18 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2021-11-18_final.stac-item
2021-12-30 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2021-12-30_final.stac-item
2022-01-03 11:41:14	ga_s2bm_ard_3-2-1_51LUF_2022-01-03_final.stac-item
2022-01-05 10:45:56	ga_s2bm_ard_3-2-1_52JGL_2022-01-05_final.stac-item
2022-01-21 11:04:24	ga_s2bm_ard_3-2-1_52JFS_2022-01-21_final.stac-item
2022-01-30 11:32:01	ga_s2bm_ard_3-2-1_51KYB_2022-01-30_final.stac-item
2022-02-26 11:26:07	ga_s2bm_ard_3-2-1_51JWF_2022-02-26_final.stac-item
2022-03-01 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2022-03-01_final.stac-item
2022-03-25 11:13:31	ga_s2bm_ard_3-2-1_52KDA_2022-03-25_final.stac-item
2022-03-25 11:14:18	ga_s2bm_ard_3-2-1_52JCT_2022-03-25_final.stac-item
2022-04-23 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2022-04-23_final.stac-item
2022-04-30 11:33:27	ga_s2bm_ard_3-2-1_51KUS_2022-04-30_final.stac-item
2022-06-09 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2022-06-09_final.stac-item
2022-07-29 11:35:17	ga_s2bm_ard_3-2-1_51JVK_2022-07-29_final.stac-item
2022-08-04 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2022-08-04_final.stac-item
2022-09-07 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2022-09-07_final.stac-item
2022-09-13 11:54:05	ga_s2bm_ard_3-2-1_50KMA_2022-09-13_final.stac-item
2022-09-26 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2022-09-26_final.stac-item
2022-09-27 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2022-09-27_final.stac-item
2022-10-01 11:15:29	ga_s2bm_ard_3-2-1_51JXJ_2022-10-01_final.stac-item
2022-10-01 11:16:05	ga_s2bm_ard_3-2-1_52JBL_2022-10-01_final.stac-item
2022-10-05 10:55:54	ga_s2bm_ard_3-2-1_52JGL_2022-10-05_final.stac-item
2022-11-06 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2022-11-06_final.stac-item
2022-11-26 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2022-11-26_final.stac-item
2022-12-30 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2022-12-30_final.stac-item
2023-01-21 11:53:29	ga_s2bm_ard_3-2-1_50KMC_2023-01-21_final.stac-item
2023-02-04 11:31:03	ga_s2bm_ard_3-2-1_51LZF_2023-02-04_nrt.stac-item
2023-02-21 11:22:37	ga_s2bm_ard_3-2-1_51KZV_2023-02-21_final
2023-02-21 11:23:02	ga_s2bm_ard_3-2-1_52KCC_2023-02-21_final
2023-04-09 11:14:33	ga_s2bm_ard_3-2-1_52JDS_2023-04-09_final
2023-04-13 10:55:23	ga_s2bm_ard_3-2-1_52JEP_2023-04-13_final
2023-04-15 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2023-04-15_final
2023-05-26 11:05:39	ga_s2bm_ard_3-2-1_52JDN_2023-05-26_final
2023-06-27 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2023-06-27_final
2023-09-22 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2023-09-22_final
2023-10-18 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-10-18_final
2023-10-26 11:14:17	ga_s2bm_ard_3-2-1_52JDT_2023-10-26_final
2024-01-20 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2024-01-20_final
2024-01-23 11:44:15	ga_s2bm_ard_3-2-1_51KTP_2024-01-23_final
2024-03-13 11:43:44	ga_s2bm_ard_3-2-1_51KTR_2024-03-13_final
2024-04-09 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2024-04-09_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