Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HLH_2017-08-07_final
2017-08-21 11:24:49	ga_s2bm_ard_3-2-1_51HUD_2017-08-21_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49KGQ_2017-09-22_final
2017-10-16 09:56:53	ga_s2bm_ard_3-2-1_54KYU_2017-10-16_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_51KUU_2017-10-26_final
2017-11-02 09:51:42	ga_s2bm_ard_3-2-1_54HYB_2017-11-02_final
2017-11-28 10:06:53	ga_s2bm_ard_3-2-1_54JXM_2017-11-28_final
2018-02-12 10:31:32	ga_s2bm_ard_3-2-1_54JTR_2018-02-12_final
2018-02-18 10:53:07	ga_s2bm_ard_3-2-1_52JFS_2018-02-18_final
2018-03-14 10:35:39	ga_s2bm_ard_3-2-1_53HNB_2018-03-14_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KHR_2018-03-21_final
2018-04-10 10:17:03	ga_s2bm_ard_3-2-1_54LXP_2018-04-10_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JVN_2018-04-11_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KWR_2018-05-01_final
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53JRM_2018-05-23_final
2018-06-09 10:17:03	ga_s2bm_ard_3-2-1_54JUS_2018-06-09_final
2018-06-25 10:37:26	ga_s2bm_ard_3-2-1_53LQC_2018-06-25_final
2018-07-14 11:11:20	ga_s2bm_ard_3-2-1_52KDA_2018-07-14_final
2018-07-29 10:22:46	ga_s2bm_ard_3-2-1_54KUU_2018-07-29_final
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51HUC_2018-08-26_final
2018-09-18 09:56:03	ga_s2bm_ard_3-2-1_55GBR_2018-09-18_final
2018-12-31 11:11:31	ga_s2bm_ard_3-2-1_52LEJ_2018-12-31_final
2019-01-01 10:45:48	ga_s2bm_ard_3-2-1_53JKG_2019-01-01_final
2019-01-03 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2019-01-03_final
2019-01-23 11:22:12	ga_s2bm_ard_3-2-1_52KDF_2019-01-23_final
2019-03-19 10:33:30	ga_s2bm_ard_3-2-1_54KTV_2019-03-19_final
2019-06-14 12:05:08	ga_s2bm_ard_3-2-1_49JGM_2019-06-14_final
2019-07-05 09:57:01	ga_s2bm_ard_3-2-1_55HBA_2019-07-05_final
2019-07-11 10:16:47	ga_s2bm_ard_3-2-1_54HWG_2019-07-11_final
2019-07-18 10:06:27	ga_s2bm_ard_3-2-1_55HBC_2019-07-18_final
2019-09-06 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2019-09-06_final
2019-09-12 10:21:02	ga_s2bm_ard_3-2-1_54LZJ_2019-09-12_final
2019-10-20 11:24:45	ga_s2bm_ard_3-2-1_52JBR_2019-10-20_final
2019-11-06 11:12:53	ga_s2bm_ard_3-2-1_52KCD_2019-11-06_final
2019-11-25 10:06:57	ga_s2bm_ard_3-2-1_54HVF_2019-11-25_final
2019-11-30 10:51:57	ga_s2bm_ard_3-2-1_53KKB_2019-11-30_final
2019-12-16 11:13:02	ga_s2bm_ard_3-2-1_52KCC_2019-12-16_final
2020-01-23 10:36:03	ga_s2bm_ard_3-2-1_53HME_2020-01-23_final
2020-05-27 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2020-05-27_final
2020-06-26 11:24:46	ga_s2bm_ard_3-2-1_52JBR_2020-06-26_final
2020-08-31 10:05:36	ga_s2bm_ard_3-2-1_54JWM_2020-08-31_final
2020-09-09 10:34:49	ga_s2bm_ard_3-2-1_53JQK_2020-09-09_final
2020-09-26 10:27:02	ga_s2bm_ard_3-2-1_54HTF_2020-09-26_final
2020-10-17 11:36:46	ga_s2bm_ard_3-2-1_51HUD_2020-10-17_final
2020-10-21 11:13:58	ga_s2bm_ard_3-2-1_52KBV_2020-10-21_final
2020-10-23 10:13:15	ga_s2bm_ard_3-2-1_54KXA_2020-10-23_final
2020-11-07 11:01:00	ga_s2bm_ard_3-2-1_53LKF_2020-11-07_final
2020-11-22 10:15:26	ga_s2bm_ard_3-2-1_54JWM_2020-11-22_final
2020-12-07 11:02:50	ga_s2bm_ard_3-2-1_52KED_2020-12-07_final
2020-12-11 10:45:34	ga_s2bm_ard_3-2-1_53JMG_2020-12-11_final
2021-01-08 10:04:06	ga_s2bm_ard_3-2-1_54JZS_2021-01-08_final
2021-01-15 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2021-01-15_final
2021-01-26 11:02:03	ga_s2bm_ard_3-2-1_53KLA_2021-01-26_final
2021-02-27 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2021-02-27_final
2021-03-24 10:52:44	ga_s2bm_ard_3-2-1_53KNT_2021-03-24_final
2021-05-16 09:28:37	ga_s2bm_ard_3-2-1_55GEP_2021-05-15_final
2021-05-20 10:45:00	ga_s2bm_ard_3-2-1_53JKK_2021-05-20_final
2021-07-12 10:52:47	ga_s2bm_ard_3-2-1_53KNT_2021-07-12_final
2021-07-14 09:56:12	ga_s2bm_ard_3-2-1_54HYJ_2021-07-14_final
2021-10-10 10:54:12	ga_s2bm_ard_3-2-1_52JHT_2021-10-10_final
2021-10-14 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2021-10-14_final
2021-10-22 09:57:13	ga_s2bm_ard_3-2-1_54HXE_2021-10-22_final
2021-10-24 10:33:51	ga_s2bm_ard_3-2-1_53KQP_2021-10-24_final
2022-01-24 11:16:14	ga_s2bm_ard_3-2-1_52HBK_2022-01-24_final
2022-03-13 10:34:23	ga_s2bm_ard_3-2-1_53JNM_2022-03-13_final
2022-03-31 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2022-03-31_final
2022-04-12 10:33:28	ga_s2bm_ard_3-2-1_54KTV_2022-04-12_final
2022-04-25 10:41:53	ga_s2bm_ard_3-2-1_53KRA_2022-04-25_final
2022-06-09 11:35:03	ga_s2bm_ard_3-2-1_51JUL_2022-06-09_final
2022-07-10 11:01:51	ga_s2bm_ard_3-2-1_52LGH_2022-07-10_final
2022-08-05 09:48:55	ga_s2bm_ard_3-2-1_55GDN_2022-08-05_final
2022-08-27 10:19:59	ga_s2bm_ard_3-2-1_54LXP_2022-08-27_final
2022-09-26 10:25:06	ga_s2bm_ard_3-2-1_53JQJ_2022-09-26_final.stac-item
2022-10-01 11:15:03	ga_s2bm_ard_3-2-1_52JCQ_2022-10-01_final.stac-item
2022-11-23 11:22:29	ga_s2bm_ard_3-2-1_52KBF_2022-11-23_final.stac-item
2022-12-02 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2022-12-02_final.stac-item
2023-01-02 11:26:34	ga_s2bm_ard_3-2-1_51HXD_2023-01-02_final.stac-item
2023-01-07 10:30:05	ga_s2bm_ard_3-2-1_54LXN_2023-01-07_final.stac-item
2023-01-26 11:01:59	ga_s2bm_ard_3-2-1_52KHG_2023-01-26_final.stac-item
2023-02-06 10:30:05	ga_s2bm_ard_3-2-1_54LXN_2023-02-06_final.stac-item
2023-02-06 10:31:44	ga_s2bm_ard_3-2-1_54KUG_2023-02-06_final.stac-item
2023-04-27 10:30:57	ga_s2bm_ard_3-2-1_54LWK_2023-04-27_final.stac-item
2023-05-01 11:54:15	ga_s2bm_ard_3-2-1_50KQU_2023-05-01_final.stac-item
2023-06-14 09:56:57	ga_s2bm_ard_3-2-1_55HBA_2023-06-14_final.stac-item
2023-06-23 10:26:36	ga_s2bm_ard_3-2-1_53HQC_2023-06-23_final.stac-item
2023-06-28 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2023-06-28_final.stac-item
2023-08-02 12:03:46	ga_s2bm_ard_3-2-1_50KLB_2023-08-02_final.stac-item
2023-08-12 12:06:10	ga_s2bm_ard_3-2-1_50JLM_2023-08-12_final.stac-item
2023-09-18 10:17:07	ga_s2bm_ard_3-2-1_54HWE_2023-09-18_final.stac-item
2023-11-19 10:52:29	ga_s2bm_ard_3-2-1_52KHE_2023-11-19_final.stac-item
2023-11-20 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-11-20_final.stac-item
2023-11-26 10:46:20	ga_s2bm_ard_3-2-1_53HLD_2023-11-26_final.stac-item
2023-12-07 10:16:45	ga_s2bm_ard_3-2-1_54HTG_2023-12-07_final.stac-item
2024-01-31 11:01:24	ga_s2bm_ard_3-2-1_53LKD_2024-01-31_final.stac-item
2024-02-02 10:06:21	ga_s2bm_ard_3-2-1_54HXH_2024-02-02_final.stac-item
2024-02-17 10:51:29	ga_s2bm_ard_3-2-1_53LND_2024-02-17_final.stac-item
2024-03-10 11:33:43	ga_s2bm_ard_3-2-1_51KUR_2024-03-10_final.stac-item
2024-03-16 10:13:00	ga_s2bm_ard_3-2-1_54KYB_2024-03-16_final.stac-item
2024-04-18 10:20:46	ga_s2bm_ard_3-2-1_54LWL_2024-04-18_final.stac-item
2024-05-09 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2024-05-09_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years