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 10:26:37	ga_s2bm_ard_3-2-1_53HPB_2017-07-24_final.stac-item
2017-09-19 11:55:56	ga_s2bm_ard_3-2-1_50JLL_2017-09-19_final.stac-item
2017-10-15 10:31:57	ga_s2bm_ard_3-2-1_53HMD_2017-10-15_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JTN_2018-02-20_final.stac-item
2018-02-22 10:27:00	ga_s2bm_ard_3-2-1_53JQJ_2018-02-22_final.stac-item
2018-03-07 10:37:17	ga_s2bm_ard_3-2-1_53JMN_2018-03-07_final.stac-item
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51LZE_2018-03-12_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51KUU_2018-03-15_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JNS_2018-03-18_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51KXU_2018-03-22_final.stac-item
2018-03-26 11:07:07	ga_s2bm_ard_3-2-1_52LGM_2018-03-26_final.stac-item
2018-05-15 11:07:36	ga_s2bm_ard_3-2-1_52KBC_2018-05-15_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KWP_2018-05-31_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KUA_2018-06-03_final.stac-item
2018-06-09 10:26:11	ga_s2bm_ard_3-2-1_53HPD_2018-06-09_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51KUQ_2018-06-10_final.stac-item
2018-07-09 10:22:32	ga_s2bm_ard_3-2-1_53HPC_2018-07-09_final.stac-item
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_51KXR_2018-07-27_final.stac-item
2018-11-03 11:47:22	ga_s2bm_ard_3-2-1_50KRC_2018-11-03_final.stac-item
2018-11-09 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2018-11-09_final.stac-item
2018-12-09 10:34:55	ga_s2bm_ard_3-2-1_53JQJ_2018-12-09_final.stac-item
2019-01-06 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2019-01-06_final.stac-item
2019-01-18 10:34:13	ga_s2bm_ard_3-2-1_53JNN_2019-01-18_final.stac-item
2019-02-02 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2019-02-02_final.stac-item
2019-02-27 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2019-02-27_final.stac-item
2019-03-30 11:41:35	ga_s2bm_ard_3-2-1_51LUE_2019-03-30_final.stac-item
2019-04-02 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2019-04-02_final.stac-item
2019-07-02 11:21:41	ga_s2bm_ard_3-2-1_52LDJ_2019-07-02_final.stac-item
2019-07-12 11:23:59	ga_s2bm_ard_3-2-1_51KZQ_2019-07-12_final.stac-item
2019-07-12 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2019-07-12_final.stac-item
2019-07-27 10:35:09	ga_s2bm_ard_3-2-1_53JQJ_2019-07-27_final.stac-item
2019-09-10 11:22:28	ga_s2bm_ard_3-2-1_51KYA_2019-09-10_final.stac-item
2019-09-20 11:22:22	ga_s2bm_ard_3-2-1_52KBF_2019-09-20_final.stac-item
2019-10-12 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2019-10-12_final.stac-item
2019-12-01 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2019-12-01_final.stac-item
2020-02-17 11:24:00	ga_s2bm_ard_3-2-1_51KZP_2020-02-17_final.stac-item
2020-04-13 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2020-04-13_final.stac-item
2020-04-27 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2020-04-27_final.stac-item
2020-04-28 10:55:09	ga_s2bm_ard_3-2-1_52JGP_2020-04-28_final.stac-item
2020-05-03 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2020-05-03_final.stac-item
2020-07-30 11:05:22	ga_s2bm_ard_3-2-1_52JDP_2020-07-30_final.stac-item
2020-08-05 11:26:08	ga_s2bm_ard_3-2-1_51JUG_2020-08-05_final.stac-item
2020-09-19 10:35:54	ga_s2bm_ard_3-2-1_53JNF_2020-09-19_final.stac-item
2020-09-24 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2020-09-24_final.stac-item
2020-09-24 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2020-09-24_final.stac-item
2020-10-05 10:55:31	ga_s2bm_ard_3-2-1_52JGN_2020-10-05_final.stac-item
2020-10-20 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-10-20_final.stac-item
2020-11-16 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2020-11-16_final.stac-item
2020-11-26 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2020-11-26_final.stac-item
2021-01-22 11:25:20	ga_s2bm_ard_3-2-1_51JYJ_2021-01-22_final.stac-item
2021-01-25 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2021-01-25_final.stac-item
2021-02-04 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2021-02-04_final.stac-item
2021-03-16 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2021-03-16_final
2021-04-15 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2021-04-15_final.stac-item
2021-05-12 11:21:37	ga_s2bm_ard_3-2-1_52LBJ_2021-05-12_final.stac-item
2021-05-17 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2021-05-17_final.stac-item
2021-05-20 10:46:20	ga_s2bm_ard_3-2-1_53HMD_2021-05-20_final.stac-item
2021-05-29 11:13:08	ga_s2bm_ard_3-2-1_52KCC_2021-05-29_final.stac-item
2021-06-01 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2021-06-01_final.stac-item
2021-06-08 11:10:33	ga_s2bm_ard_3-2-1_52LFN_2021-06-08_final
2021-07-13 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2021-07-13_final.stac-item
2021-07-31 11:25:44	ga_s2bm_ard_3-2-1_51JWH_2021-07-31_final.stac-item
2021-09-11 10:25:02	ga_s2bm_ard_3-2-1_53JQJ_2021-09-11_final.stac-item
2021-10-26 11:14:43	ga_s2bm_ard_3-2-1_51JYM_2021-10-26_final.stac-item
2021-11-10 10:26:50	ga_s2bm_ard_3-2-1_53HPB_2021-11-10_final.stac-item
2022-01-14 11:12:42	ga_s2bm_ard_3-2-1_52KED_2022-01-14_final.stac-item
2022-01-17 11:23:31	ga_s2bm_ard_3-2-1_51KZR_2022-01-17_final.stac-item
2022-03-10 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2022-03-10_final.stac-item
2022-03-11 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2022-03-11_final.stac-item
2022-04-09 10:26:37	ga_s2bm_ard_3-2-1_53HNC_2022-04-09_final.stac-item
2022-04-30 11:36:36	ga_s2bm_ard_3-2-1_51HUD_2022-04-30_final.stac-item
2022-05-29 10:26:47	ga_s2bm_ard_3-2-1_53HQB_2022-05-29_final.stac-item
2022-07-08 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2022-07-08_final.stac-item
2022-09-11 11:13:50	ga_s2bm_ard_3-2-1_52KDV_2022-09-11_final.stac-item
2022-10-10 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2022-10-10_final.stac-item
2022-11-10 11:13:39	ga_s2bm_ard_3-2-1_52KDA_2022-11-10_final.stac-item
2022-11-21 10:44:06	ga_s2bm_ard_3-2-1_53JNN_2022-11-21_final.stac-item
2023-01-08 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2023-01-08_final.stac-item
2023-01-09 11:11:13	ga_s2bm_ard_3-2-1_52LFK_2023-01-09_final.stac-item
2023-01-21 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2023-01-21_final.stac-item
2023-02-05 11:01:58	ga_s2bm_ard_3-2-1_52KGG_2023-02-05_final
2023-02-25 11:06:18	ga_s2bm_ard_3-2-1_52HDK_2023-02-25_final
2023-04-02 11:25:27	ga_s2bm_ard_3-2-1_51JXJ_2023-04-02_final
2023-04-27 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2023-04-27_final
2023-05-22 11:24:07	ga_s2bm_ard_3-2-1_51KWQ_2023-05-22_final
2023-05-29 11:13:30	ga_s2bm_ard_3-2-1_52KBB_2023-05-29_final
2023-06-10 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-06-10_final
2023-06-14 11:37:22	ga_s2bm_ard_3-2-1_50HQG_2023-06-14_final
2023-06-17 11:43:05	ga_s2bm_ard_3-2-1_51KUU_2023-06-17_final
2023-07-08 11:14:29	ga_s2bm_ard_3-2-1_52JBT_2023-07-08_final
2023-07-31 11:23:41	ga_s2bm_ard_3-2-1_51KZR_2023-07-31_final
2023-08-26 11:42:13	ga_s2bm_ard_3-2-1_51KWB_2023-08-26_final
2023-09-04 10:36:15	ga_s2bm_ard_3-2-1_53HME_2023-09-04_final
2023-09-19 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2023-09-19_final
2023-10-04 10:36:51	ga_s2bm_ard_3-2-1_53HNB_2023-10-04_final
2023-10-20 10:54:18	ga_s2bm_ard_3-2-1_52JFT_2023-10-20_final
2024-01-11 11:00:28	ga_s2bm_ard_3-2-1_52LHN_2024-01-11_final
2024-01-24 11:14:01	ga_s2bm_ard_3-2-1_52KDU_2024-01-24_final
2024-03-11 11:02:00	ga_s2bm_ard_3-2-1_52KFG_2024-03-11_final
2024-04-11 10:36:07	ga_s2bm_ard_3-2-1_53HNE_2024-04-11_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