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
2017-07-03 10:52:16	ga_s2bm_ard_3-2-1_53KKT_2017-07-03_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50HMK_2017-07-31_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50KNC_2017-10-12_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KXU_2017-12-09_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50JQR_2017-12-25_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JYL_2017-12-29_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KYT_2017-12-29_final
2018-01-20 10:16:58	ga_s2bm_ard_3-2-1_54KVF_2018-01-20_final
2018-02-01 10:57:09	ga_s2bm_ard_3-2-1_52LGL_2018-02-01_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_54HXF_2018-03-02_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50JKM_2018-07-06_final
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54JYL_2018-07-23_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HNJ_2018-10-01_final
2018-10-27 10:23:51	ga_s2bm_ard_3-2-1_53HPE_2018-10-27_final
2018-12-04 11:23:05	ga_s2bm_ard_3-2-1_51KYT_2018-12-04_final
2018-12-16 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2018-12-16_final
2019-01-06 11:35:17	ga_s2bm_ard_3-2-1_51JTK_2019-01-06_final
2019-01-08 10:34:06	ga_s2bm_ard_3-2-1_53JPN_2019-01-08_final
2019-01-27 11:04:43	ga_s2bm_ard_3-2-1_52JFR_2019-01-27_final
2019-02-27 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2019-02-27_final
2019-04-06 11:32:18	ga_s2bm_ard_3-2-1_51KWB_2019-04-06_final
2019-05-01 10:45:55	ga_s2bm_ard_3-2-1_52JGM_2019-05-01_final
2019-07-13 10:55:36	ga_s2bm_ard_3-2-1_52JGN_2019-07-13_final
2019-08-04 09:57:44	ga_s2bm_ard_3-2-1_54HYC_2019-08-04_final
2019-11-24 10:34:18	ga_s2bm_ard_3-2-1_53JPM_2019-11-24_final
2020-01-08 11:25:11	ga_s2bm_ard_3-2-1_51JVK_2020-01-08_final
2020-02-07 11:26:30	ga_s2bm_ard_3-2-1_51HXD_2020-02-07_final
2020-04-20 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2020-04-20_final
2020-05-02 10:36:28	ga_s2bm_ard_3-2-1_53HPC_2020-05-02_final
2020-05-09 12:03:54	ga_s2bm_ard_3-2-1_50KLA_2020-05-09_final
2020-06-26 11:26:10	ga_s2bm_ard_3-2-1_51JXF_2020-06-26_final
2020-06-29 11:34:08	ga_s2bm_ard_3-2-1_51KXP_2020-06-29_final
2020-07-19 11:34:51	ga_s2bm_ard_3-2-1_50JRS_2020-07-19_final
2020-07-23 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2020-07-23_final.stac-item
2020-08-05 11:26:47	ga_s2bm_ard_3-2-1_51HVD_2020-08-05_final
2020-08-06 10:55:13	ga_s2bm_ard_3-2-1_53JKJ_2020-08-06_final
2020-09-09 12:15:22	ga_s2bm_ard_3-2-1_49JGK_2020-09-09_final
2020-09-17 09:57:09	ga_s2bm_ard_3-2-1_54HYE_2020-09-17_final
2020-09-26 10:24:52	ga_s2bm_ard_3-2-1_54JVQ_2020-09-26_final
2020-10-09 10:34:17	ga_s2bm_ard_3-2-1_53JNN_2020-10-09_final
2020-10-16 10:26:05	ga_s2bm_ard_3-2-1_54HTK_2020-10-16_final
2020-11-07 11:01:52	ga_s2bm_ard_3-2-1_52LFH_2020-11-07_final
2020-11-22 10:16:49	ga_s2bm_ard_3-2-1_54HTG_2020-11-22_final
2020-12-06 09:56:50	ga_s2bm_ard_3-2-1_54HYF_2020-12-06_final
2020-12-17 11:01:38	ga_s2bm_ard_3-2-1_52LHH_2020-12-17_final
2021-01-02 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2021-01-02_final
2021-01-17 10:34:18	ga_s2bm_ard_3-2-1_53JQM_2021-01-17_final
2021-01-19 11:10:43	ga_s2bm_ard_3-2-1_52LGM_2021-01-19_final
2021-02-09 10:41:58	ga_s2bm_ard_3-2-1_53KRA_2021-02-09_final
2021-03-29 10:07:28	ga_s2bm_ard_3-2-1_54HVD_2021-03-29_final
2021-05-12 11:26:42	ga_s2bm_ard_3-2-1_51HVD_2021-05-12_final
2021-05-20 10:46:24	ga_s2bm_ard_3-2-1_53HLD_2021-05-20_final
2021-05-27 10:31:43	ga_s2bm_ard_3-2-1_54KVG_2021-05-27_final
2021-06-25 11:01:56	ga_s2bm_ard_3-2-1_53KKB_2021-06-25_final
2021-06-28 11:13:37	ga_s2bm_ard_3-2-1_52KCA_2021-06-28_final
2021-07-20 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2021-07-20_final
2021-09-09 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2021-09-09_final
2021-11-18 11:24:49	ga_s2bm_ard_3-2-1_51JYL_2021-11-18_final
2021-11-25 11:15:06	ga_s2bm_ard_3-2-1_51JYK_2021-11-25_final
2021-12-04 10:07:25	ga_s2bm_ard_3-2-1_54HVD_2021-12-04_final
2021-12-05 11:14:04	ga_s2bm_ard_3-2-1_52KBU_2021-12-05_final
2022-01-14 11:12:02	ga_s2bm_ard_3-2-1_52KDG_2022-01-14_final
2022-03-01 11:31:39	ga_s2bm_ard_3-2-1_51LXD_2022-03-01_final
2022-04-26 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2022-04-26_final
2022-05-29 10:25:11	ga_s2bm_ard_3-2-1_54JVN_2022-05-29_final
2022-06-10 11:02:46	ga_s2bm_ard_3-2-1_52KFD_2022-06-10_final
2022-06-12 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2022-06-12_final
2022-06-30 11:01:43	ga_s2bm_ard_3-2-1_53LLC_2022-06-30_final
2022-07-01 10:34:41	ga_s2bm_ard_3-2-1_53JPL_2022-07-01_final
2022-07-12 11:42:25	ga_s2bm_ard_3-2-1_51KWA_2022-07-12_final
2022-08-14 10:17:29	ga_s2bm_ard_3-2-1_54HVD_2022-08-14_final
2022-08-17 10:26:56	ga_s2bm_ard_3-2-1_53HNB_2022-08-17_final
2022-11-02 10:16:40	ga_s2bm_ard_3-2-1_54HVG_2022-11-02_final.stac-item
2022-11-10 11:10:57	ga_s2bm_ard_3-2-1_52LGL_2022-11-10_final.stac-item
2022-11-16 09:57:40	ga_s2bm_ard_3-2-1_54HXC_2022-11-16_final.stac-item
2023-01-02 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2023-01-02_final.stac-item
2023-01-13 10:51:24	ga_s2bm_ard_3-2-1_53LLD_2023-01-13_final.stac-item
2023-01-17 10:36:14	ga_s2bm_ard_3-2-1_53HPD_2023-01-17_final.stac-item
2023-01-25 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2023-01-25_final.stac-item
2023-01-29 11:10:59	ga_s2bm_ard_3-2-1_52LFL_2023-01-29_final.stac-item
2023-01-29 11:14:18	ga_s2bm_ard_3-2-1_52JCT_2023-01-29_final.stac-item
2023-02-22 10:51:57	ga_s2bm_ard_3-2-1_53KLB_2023-02-22_final.stac-item
2023-03-26 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2023-03-26_final.stac-item
2023-03-28 10:31:38	ga_s2bm_ard_3-2-1_53LRC_2023-03-28_nrt.stac-item
2023-04-01 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2023-04-01_final.stac-item
2023-04-09 11:11:14	ga_s2bm_ard_3-2-1_52LGK_2023-04-09_final.stac-item
2023-06-07 10:06:18	ga_s2bm_ard_3-2-1_54HWJ_2023-06-07_final.stac-item
2023-06-20 11:53:29	ga_s2bm_ard_3-2-1_50KNC_2023-06-20_final.stac-item
2023-06-21 11:23:47	ga_s2bm_ard_3-2-1_51KXR_2023-06-21_final.stac-item
2023-08-14 11:06:12	ga_s2bm_ard_3-2-1_52JCL_2023-08-14_final.stac-item
2023-08-23 11:35:05	ga_s2bm_ard_3-2-1_51JUL_2023-08-23_final.stac-item
2023-09-25 10:07:40	ga_s2bm_ard_3-2-1_54HXC_2023-09-25_final.stac-item
2023-10-04 10:35:56	ga_s2bm_ard_3-2-1_53JMF_2023-10-04_final.stac-item
2023-11-06 10:41:46	ga_s2bm_ard_3-2-1_54KTG_2023-11-06_final.stac-item
2023-11-27 10:14:57	ga_s2bm_ard_3-2-1_54JVP_2023-11-27_final.stac-item
2023-12-27 10:17:05	ga_s2bm_ard_3-2-1_54HTF_2023-12-27_final.stac-item
2024-02-17 10:52:16	ga_s2bm_ard_3-2-1_53KKA_2024-02-17_final.stac-item
2024-02-24 10:41:59	ga_s2bm_ard_3-2-1_53KRA_2024-02-24_final.stac-item
2024-03-01 11:01:25	ga_s2bm_ard_3-2-1_53LKD_2024-03-01_final.stac-item
2024-03-07 11:24:50	ga_s2bm_ard_3-2-1_51JXL_2024-03-07_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