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
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_53HNC_2017-07-07_final.stac-item
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50KMC_2017-07-24_final.stac-item
2017-10-01 10:52:59	ga_s2bm_ard_3-2-1_52JGN_2017-10-01_final.stac-item
2017-12-21 10:23:15	ga_s2bm_ard_3-2-1_53HPC_2017-12-21_final.stac-item
2017-12-23 10:57:04	ga_s2bm_ard_3-2-1_52LHM_2017-12-23_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KUS_2018-01-04_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KUU_2018-06-03_final.stac-item
2018-08-03 11:07:09	ga_s2bm_ard_3-2-1_52LGM_2018-08-03_final.stac-item
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_52KBB_2018-09-15_final.stac-item
2018-09-19 10:59:00	ga_s2bm_ard_3-2-1_52JFR_2018-09-19_final.stac-item
2019-01-04 10:55:54	ga_s2bm_ard_3-2-1_52JGL_2019-01-04_final.stac-item
2019-02-26 11:04:13	ga_s2bm_ard_3-2-1_52JFT_2019-02-26_final.stac-item
2019-03-28 11:03:18	ga_s2bm_ard_3-2-1_52KFB_2019-03-28_final.stac-item
2019-04-06 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2019-04-06_final.stac-item
2019-05-13 11:27:10	ga_s2bm_ard_3-2-1_51HUC_2019-05-13_final.stac-item
2019-07-01 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-07-01_final.stac-item
2019-07-31 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-07-31_final.stac-item
2019-08-05 11:05:03	ga_s2bm_ard_3-2-1_52JCR_2019-08-05_final.stac-item
2019-08-08 11:13:44	ga_s2bm_ard_3-2-1_52KDA_2019-08-08_final.stac-item
2019-09-10 11:23:04	ga_s2bm_ard_3-2-1_52KCC_2019-09-10_final.stac-item
2019-09-17 11:13:29	ga_s2bm_ard_3-2-1_52KEA_2019-09-17_final.stac-item
2019-10-28 10:46:07	ga_s2bm_ard_3-2-1_53HME_2019-10-28_final.stac-item
2020-02-07 11:21:18	ga_s2bm_ard_3-2-1_52LBK_2020-02-07_final.stac-item
2020-02-10 11:32:09	ga_s2bm_ard_3-2-1_51KWB_2020-02-10_final.stac-item
2020-02-24 11:13:30	ga_s2bm_ard_3-2-1_52KDA_2020-02-24_final.stac-item
2020-04-10 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2020-04-10_final.stac-item
2020-04-10 11:36:23	ga_s2bm_ard_3-2-1_50JPL_2020-04-10_final.stac-item
2020-04-24 11:15:03	ga_s2bm_ard_3-2-1_52JCQ_2020-04-24_final.stac-item
2020-05-01 11:02:48	ga_s2bm_ard_3-2-1_52KED_2020-05-01_final.stac-item
2020-05-03 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2020-05-03_final.stac-item
2020-05-03 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2020-05-03_final.stac-item
2020-05-24 11:15:54	ga_s2bm_ard_3-2-1_51JYG_2020-05-24_final.stac-item
2020-06-10 11:05:07	ga_s2bm_ard_3-2-1_52JDQ_2020-06-10_final.stac-item
2020-06-21 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-06-21_final.stac-item
2020-07-26 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2020-07-26_final.stac-item
2020-08-16 10:55:20	ga_s2bm_ard_3-2-1_52JFP_2020-08-16_final.stac-item
2020-08-21 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2020-08-21_final.stac-item
2020-09-01 11:13:04	ga_s2bm_ard_3-2-1_52KEC_2020-09-01_final.stac-item
2020-10-08 11:02:07	ga_s2bm_ard_3-2-1_52KFG_2020-10-08_final.stac-item
2020-10-17 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-10-17_final.stac-item
2020-10-27 11:32:54	ga_s2bm_ard_3-2-1_51KYU_2020-10-27_final.stac-item
2020-11-14 10:55:32	ga_s2bm_ard_3-2-1_52JFN_2020-11-14_final.stac-item
2020-12-13 11:23:03	ga_s2bm_ard_3-2-1_51KZT_2020-12-13_final.stac-item
2020-12-30 11:13:52	ga_s2bm_ard_3-2-1_52KBV_2020-12-30_final.stac-item
2021-03-24 10:55:45	ga_s2bm_ard_3-2-1_52JFM_2021-03-24_final.stac-item
2021-03-26 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2021-03-26_final.stac-item
2021-05-15 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2021-05-15_final.stac-item
2021-05-18 11:46:00	ga_s2bm_ard_3-2-1_50JNN_2021-05-18_final.stac-item
2021-05-25 11:34:06	ga_s2bm_ard_3-2-1_51KXP_2021-05-25_final.stac-item
2021-06-05 11:04:44	ga_s2bm_ard_3-2-1_52JFR_2021-06-05_final.stac-item
2021-06-24 11:36:03	ga_s2bm_ard_3-2-1_51JTG_2021-06-24_final.stac-item
2021-09-29 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2021-09-29_final.stac-item
2021-10-29 11:24:52	ga_s2bm_ard_3-2-1_51JYL_2021-10-29_final.stac-item
2021-10-31 10:26:55	ga_s2bm_ard_3-2-1_53HNB_2021-10-31_final.stac-item
2021-11-20 12:04:25	ga_s2bm_ard_3-2-1_50KKU_2021-11-20_final.stac-item
2022-02-05 11:53:15	ga_s2bm_ard_3-2-1_50KPC_2022-02-05_final.stac-item
2022-03-08 11:25:10	ga_s2bm_ard_3-2-1_51JWK_2022-03-08_final.stac-item
2022-03-11 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2022-03-11_final.stac-item
2022-03-15 11:13:31	ga_s2bm_ard_3-2-1_52KDA_2022-03-15_final.stac-item
2022-03-28 11:21:29	ga_s2bm_ard_3-2-1_52LDJ_2022-03-28_final.stac-item
2022-04-02 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2022-04-02_final.stac-item
2022-04-11 11:04:00	ga_s2bm_ard_3-2-1_52KEU_2022-04-11_final.stac-item
2022-05-10 11:34:29	ga_s2bm_ard_3-2-1_51JUN_2022-05-10_final.stac-item
2022-05-15 10:46:05	ga_s2bm_ard_3-2-1_53HME_2022-05-15_final.stac-item
2022-05-29 10:27:05	ga_s2bm_ard_3-2-1_53HPA_2022-05-29_final.stac-item
2022-07-13 11:10:37	ga_s2bm_ard_3-2-1_52LFN_2022-07-13_final
2022-08-04 11:53:15	ga_s2bm_ard_3-2-1_50KRC_2022-08-04_final.stac-item
2022-08-22 11:12:07	ga_s2bm_ard_3-2-1_52KDG_2022-08-22_final.stac-item
2022-08-25 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2022-08-25_final.stac-item
2022-10-14 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2022-10-14_final.stac-item
2022-10-23 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2022-10-23_final.stac-item
2022-11-09 11:46:07	ga_s2bm_ard_3-2-1_50JNM_2022-11-09_final.stac-item
2022-11-27 11:03:30	ga_s2bm_ard_3-2-1_52KFA_2022-11-27_final.stac-item
2022-12-10 11:10:40	ga_s2bm_ard_3-2-1_52LGM_2022-12-10_final.stac-item
2022-12-16 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2022-12-16_final.stac-item
2023-01-01 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2023-01-01_final.stac-item
2023-01-03 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2023-01-03_final.stac-item
2023-01-09 11:14:43	ga_s2bm_ard_3-2-1_52JDR_2023-01-09_final.stac-item
2023-02-11 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2023-02-11_final
2023-02-21 11:24:08	ga_s2bm_ard_3-2-1_51KYP_2023-02-21_final
2023-02-24 11:31:53	ga_s2bm_ard_3-2-1_51LYC_2023-02-24_final
2023-03-08 10:36:10	ga_s2bm_ard_3-2-1_53HNE_2023-03-08_final
2023-05-07 10:36:05	ga_s2bm_ard_3-2-1_53HPE_2023-05-07_final
2023-06-18 11:15:23	ga_s2bm_ard_3-2-1_52JCP_2023-06-18_final
2023-07-04 11:36:10	ga_s2bm_ard_3-2-1_50JQM_2023-07-04_final
2023-08-01 10:56:09	ga_s2bm_ard_3-2-1_52JEL_2023-08-01_final
2023-08-13 11:32:34	ga_s2bm_ard_3-2-1_51KWA_2023-08-13_final
2023-08-14 11:03:47	ga_s2bm_ard_3-2-1_52KGV_2023-08-14_final
2023-08-22 10:26:55	ga_s2bm_ard_3-2-1_53HPB_2023-08-22_final
2023-09-15 11:45:57	ga_s2bm_ard_3-2-1_50JNN_2023-09-15_final
2023-09-25 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2023-09-25_final
2023-09-26 11:13:25	ga_s2bm_ard_3-2-1_52KCB_2023-09-26_final
2023-10-09 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2023-10-09_final
2023-12-28 11:22:53	ga_s2bm_ard_3-2-1_52KBD_2023-12-28_final
2024-02-02 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2024-02-02_final
2024-02-06 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2024-02-06_final
2024-03-19 12:04:25	ga_s2bm_ard_3-2-1_50KKU_2024-03-19_final
2024-04-19 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2024-04-19_final
2024-04-30 11:00:30	ga_s2bm_ard_3-2-1_52LHN_2024-04-30_final
2024-05-06 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2024-05-06_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