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

92 results

Time (local)	Label
2017-07-02 09:42:30	ga_s2bm_ard_3-2-1_55JFJ_2017-07-02_final
2017-07-21 10:11:06	ga_s2bm_ard_3-2-1_55KBA_2017-07-21_final
2017-08-09 10:43:05	ga_s2bm_ard_3-2-1_53JMJ_2017-08-09_final
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_55JCM_2017-08-17_final
2017-08-30 10:13:11	ga_s2bm_ard_3-2-1_54JWQ_2017-08-30_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JMR_2017-12-28_final
2018-02-25 10:42:58	ga_s2bm_ard_3-2-1_53JMM_2018-02-25_final
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55JDL_2018-04-11_final
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_53JML_2018-05-06_final
2018-06-03 10:05:11	ga_s2bm_ard_3-2-1_54JYL_2018-06-03_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50JMS_2018-07-06_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51JYM_2018-07-07_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51JTF_2018-07-10_final
2018-09-20 10:30:58	ga_s2bm_ard_3-2-1_54KTV_2018-09-20_final
2018-09-23 10:41:40	ga_s2bm_ard_3-2-1_53JMJ_2018-09-23_final
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55JDL_2018-09-28_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JNR_2018-10-24_final
2018-11-12 10:42:48	ga_s2bm_ard_3-2-1_53KPT_2018-11-12_final
2018-11-20 11:43:59	ga_s2bm_ard_3-2-1_50KRV_2018-11-20_final
2018-12-07 09:54:25	ga_s2bm_ard_3-2-1_55JEK_2018-12-07_final
2018-12-10 10:03:46	ga_s2bm_ard_3-2-1_54JZT_2018-12-10_final
2018-12-14 11:24:34	ga_s2bm_ard_3-2-1_51JXM_2018-12-14_final
2019-01-12 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2019-01-12_final
2019-01-25 10:25:14	ga_s2bm_ard_3-2-1_54JUN_2019-01-25_final
2019-04-05 12:03:41	ga_s2bm_ard_3-2-1_50KMB_2019-04-05_final
2019-04-15 12:04:45	ga_s2bm_ard_3-2-1_50JLT_2019-04-15_final
2019-04-26 09:55:57	ga_s2bm_ard_3-2-1_55HCE_2019-04-26_final
2019-06-30 10:43:31	ga_s2bm_ard_3-2-1_53KNR_2019-06-30_final
2019-07-02 11:22:16	ga_s2bm_ard_3-2-1_52KBG_2019-07-02_final
2019-08-05 11:03:06	ga_s2bm_ard_3-2-1_52KGC_2019-08-05_final
2019-08-11 11:21:57	ga_s2bm_ard_3-2-1_52LCH_2019-08-11_final
2019-08-16 10:32:39	ga_s2bm_ard_3-2-1_54KTD_2019-08-16_final
2019-08-17 10:04:13	ga_s2bm_ard_3-2-1_55JBM_2019-08-17_final
2019-09-14 11:01:27	ga_s2bm_ard_3-2-1_53LKD_2019-09-14_final
2019-10-09 10:12:37	ga_s2bm_ard_3-2-1_54KZC_2019-10-09_final
2019-11-08 10:12:10	ga_s2bm_ard_3-2-1_54KYE_2019-11-08_final
2019-12-03 11:05:25	ga_s2bm_ard_3-2-1_52JEN_2019-12-03_final
2019-12-15 10:03:59	ga_s2bm_ard_3-2-1_55JCM_2019-12-15_final
2019-12-28 10:13:36	ga_s2bm_ard_3-2-1_54KXU_2019-12-28_final
2020-01-28 09:45:40	ga_s2bm_ard_3-2-1_55HEE_2020-01-28_final
2020-03-23 10:32:46	ga_s2bm_ard_3-2-1_53KRT_2020-03-23_final
2020-05-30 09:54:21	ga_s2bm_ard_3-2-1_55JDL_2020-05-30_final
2020-06-30 11:02:03	ga_s2bm_ard_3-2-1_52KGG_2020-06-30_final
2020-07-12 11:43:34	ga_s2bm_ard_3-2-1_51KTS_2020-07-12_final
2020-07-31 10:32:32	ga_s2bm_ard_3-2-1_54KUD_2020-07-31_final
2020-08-25 09:44:46	ga_s2bm_ard_3-2-1_55JGJ_2020-08-25_final
2020-08-27 10:26:04	ga_s2bm_ard_3-2-1_54HTK_2020-08-27_final
2020-09-22 10:44:56	ga_s2bm_ard_3-2-1_53JMK_2020-09-22_final
2020-10-04 09:45:18	ga_s2bm_ard_3-2-1_55JFG_2020-10-04_final
2020-12-16 11:32:39	ga_s2bm_ard_3-2-1_51KWV_2020-12-16_final
2021-03-05 10:22:59	ga_s2bm_ard_3-2-1_54KVB_2021-03-05_final
2021-03-22 11:55:05	ga_s2bm_ard_3-2-1_50JNR_2021-03-22_final
2021-04-01 11:55:04	ga_s2bm_ard_3-2-1_50JNR_2021-04-01_final
2021-04-06 11:06:15	ga_s2bm_ard_3-2-1_52HDK_2021-04-06_final.stac-item
2021-04-07 10:33:47	ga_s2bm_ard_3-2-1_53KQP_2021-04-07_final
2021-05-21 10:14:13	ga_s2bm_ard_3-2-1_54JWS_2021-05-21_final
2021-06-17 11:44:35	ga_s2bm_ard_3-2-1_50JQT_2021-06-17_final
2021-07-03 10:22:58	ga_s2bm_ard_3-2-1_54KWB_2021-07-03_final
2021-07-20 11:54:42	ga_s2bm_ard_3-2-1_50JMT_2021-07-20_final
2021-07-30 10:12:08	ga_s2bm_ard_3-2-1_55KBV_2021-07-30_final
2021-08-12 10:22:31	ga_s2bm_ard_3-2-1_54KVD_2021-08-12_final
2021-08-12 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-08-12_final
2021-09-16 11:15:18	ga_s2bm_ard_3-2-1_52JBP_2021-09-16_final
2021-09-25 10:02:46	ga_s2bm_ard_3-2-1_55KDS_2021-09-25_final
2021-10-02 09:54:16	ga_s2bm_ard_3-2-1_55JEL_2021-10-02_final
2021-10-19 09:45:34	ga_s2bm_ard_3-2-1_55JEF_2021-10-19_final
2021-10-31 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2021-10-31_final
2021-12-04 10:03:45	ga_s2bm_ard_3-2-1_55JCN_2021-12-04_final
2022-01-24 11:15:16	ga_s2bm_ard_3-2-1_52JBP_2022-01-24_final
2022-03-10 10:22:29	ga_s2bm_ard_3-2-1_54KVD_2022-03-10_final
2022-04-13 10:03:32	ga_s2bm_ard_3-2-1_55KCP_2022-04-13_final
2022-04-20 09:54:15	ga_s2bm_ard_3-2-1_55JDL_2022-04-20_final
2022-05-20 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2022-05-20_final
2022-07-12 11:42:35	ga_s2bm_ard_3-2-1_51KUA_2022-07-12_final
2022-08-11 11:44:05	ga_s2bm_ard_3-2-1_51KTQ_2022-08-11_final
2022-09-18 11:04:34	ga_s2bm_ard_3-2-1_52JES_2022-09-18_final.stac-item
2023-02-13 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2023-02-13_final.stac-item
2023-02-24 09:56:05	ga_s2bm_ard_3-2-1_55HCD_2023-02-24_final.stac-item
2023-03-06 09:56:08	ga_s2bm_ard_3-2-1_55HCD_2023-03-06_final.stac-item
2023-03-25 10:22:33	ga_s2bm_ard_3-2-1_54KVD_2023-03-25_final.stac-item
2023-04-20 10:45:24	ga_s2bm_ard_3-2-1_53JMH_2023-04-20_final.stac-item
2023-05-31 11:52:52	ga_s2bm_ard_3-2-1_50KQE_2023-05-31_final.stac-item
2023-06-24 09:55:54	ga_s2bm_ard_3-2-1_55HCE_2023-06-24_final.stac-item
2023-07-10 10:14:19	ga_s2bm_ard_3-2-1_54JWS_2023-07-10_final.stac-item
2023-07-24 11:36:08	ga_s2bm_ard_3-2-1_51JTG_2023-07-24_final.stac-item
2023-08-01 10:52:43	ga_s2bm_ard_3-2-1_53KMU_2023-08-01_final.stac-item
2023-08-30 09:45:02	ga_s2bm_ard_3-2-1_55JGH_2023-08-30_final.stac-item
2023-09-12 11:34:50	ga_s2bm_ard_3-2-1_51JUM_2023-09-12_final.stac-item
2024-01-06 11:55:06	ga_s2bm_ard_3-2-1_50JNR_2024-01-06_final.stac-item
2024-01-14 11:15:20	ga_s2bm_ard_3-2-1_52JBP_2024-01-14_final.stac-item
2024-02-29 09:54:15	ga_s2bm_ard_3-2-1_55JEL_2024-02-29_final.stac-item
2024-04-11 10:34:04	ga_s2bm_ard_3-2-1_53JQN_2024-04-11_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