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
2017-07-04 10:22:06	ga_s2bm_ard_3-2-1_53HNC_2017-07-04_final
2017-09-18 10:42:55	ga_s2bm_ard_3-2-1_52JGL_2017-09-18_final
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53HMD_2017-11-14_final
2017-11-17 10:42:53	ga_s2bm_ard_3-2-1_53HLD_2017-11-17_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KDD_2017-12-06_final
2017-12-26 11:07:01	ga_s2bm_ard_3-2-1_52LEH_2017-12-26_final
2018-01-06 10:37:18	ga_s2bm_ard_3-2-1_53JKG_2018-01-06_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50JQL_2018-01-14_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JCL_2018-02-01_final
2018-02-02 10:27:01	ga_s2bm_ard_3-2-1_53JNN_2018-02-02_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_52KBC_2018-02-07_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_52LFH_2018-02-14_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51LZE_2018-02-20_final
2018-05-08 11:24:04	ga_s2bm_ard_3-2-1_51JUF_2018-05-08_final
2018-06-04 11:12:12	ga_s2bm_ard_3-2-1_52KBU_2018-06-04_final
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51JYH_2018-07-24_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51JVH_2018-10-08_final
2018-11-18 11:01:58	ga_s2bm_ard_3-2-1_52KGG_2018-11-18_final
2018-11-18 11:02:56	ga_s2bm_ard_3-2-1_52KGC_2018-11-18_final
2019-01-10 11:10:46	ga_s2bm_ard_3-2-1_52LFM_2019-01-10_final.stac-item
2019-01-22 11:55:16	ga_s2bm_ard_3-2-1_50JPQ_2019-01-22_final
2019-01-27 11:03:54	ga_s2bm_ard_3-2-1_52KDV_2019-01-27_final
2019-04-03 11:26:35	ga_s2bm_ard_3-2-1_51HUE_2019-04-03_final
2019-05-06 11:33:42	ga_s2bm_ard_3-2-1_51KUS_2019-05-06_final
2019-06-04 10:26:44	ga_s2bm_ard_3-2-1_53HPC_2019-06-04_final
2019-06-12 11:23:13	ga_s2bm_ard_3-2-1_52KBC_2019-06-12_final
2019-06-22 11:25:18	ga_s2bm_ard_3-2-1_51JXK_2019-06-22_final
2019-06-24 12:06:03	ga_s2bm_ard_3-2-1_50JKN_2019-06-24_final
2019-07-17 10:36:33	ga_s2bm_ard_3-2-1_53HMD_2019-07-17_final
2019-08-05 11:04:58	ga_s2bm_ard_3-2-1_52JDR_2019-08-05_final
2019-09-21 10:53:28	ga_s2bm_ard_3-2-1_52KHA_2019-09-21_final
2019-10-14 11:05:57	ga_s2bm_ard_3-2-1_52JCM_2019-10-14_final
2019-10-17 11:10:26	ga_s2bm_ard_3-2-1_52LHN_2019-10-17_final
2020-03-15 11:15:05	ga_s2bm_ard_3-2-1_52JBQ_2020-03-15_final
2020-03-22 11:05:56	ga_s2bm_ard_3-2-1_52JBM_2020-03-22_final
2020-05-09 12:03:54	ga_s2bm_ard_3-2-1_50KLA_2020-05-09_final
2020-06-29 11:33:05	ga_s2bm_ard_3-2-1_51KYT_2020-06-29_final
2020-07-18 10:26:19	ga_s2bm_ard_3-2-1_53HQD_2020-07-18_final
2020-07-20 11:03:50	ga_s2bm_ard_3-2-1_52KEV_2020-07-20_final
2020-09-08 11:06:26	ga_s2bm_ard_3-2-1_52HBK_2020-09-08_final
2020-09-21 11:16:08	ga_s2bm_ard_3-2-1_52JBL_2020-09-21_final
2020-09-23 10:16:54	ga_s2bm_ard_3-2-1_53HQB_2020-09-23_final
2020-10-22 10:45:50	ga_s2bm_ard_3-2-1_52JGM_2020-10-22_final
2020-11-19 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2020-11-19_final
2020-12-06 11:32:13	ga_s2bm_ard_3-2-1_51KWB_2020-12-06_final
2020-12-30 11:11:10	ga_s2bm_ard_3-2-1_52LGK_2020-12-30_final
2021-01-04 10:26:35	ga_s2bm_ard_3-2-1_53HPC_2021-01-04_final
2021-01-24 12:06:17	ga_s2bm_ard_3-2-1_50JKM_2021-01-24_final
2021-01-26 11:03:19	ga_s2bm_ard_3-2-1_52KEB_2021-01-26_final
2021-02-14 11:32:49	ga_s2bm_ard_3-2-1_51KYU_2021-02-14_final
2021-04-08 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2021-04-08_final
2021-04-23 10:55:50	ga_s2bm_ard_3-2-1_52JGL_2021-04-23_final
2021-05-04 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2021-05-04_final
2021-05-09 11:13:23	ga_s2bm_ard_3-2-1_52KBB_2021-05-09_final
2021-07-05 11:05:32	ga_s2bm_ard_3-2-1_52JEN_2021-07-05_final
2021-09-15 11:43:40	ga_s2bm_ard_3-2-1_51KUR_2021-09-15_final
2021-10-05 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2021-10-05_final
2021-10-22 11:36:04	ga_s2bm_ard_3-2-1_51JTG_2021-10-22_final
2021-11-19 10:55:43	ga_s2bm_ard_3-2-1_52JFM_2021-11-19_final
2021-11-20 10:26:44	ga_s2bm_ard_3-2-1_53HQB_2021-11-20_final
2021-11-25 11:11:33	ga_s2bm_ard_3-2-1_52LDJ_2021-11-25_final
2021-12-01 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2021-12-01_final
2021-12-21 11:36:13	ga_s2bm_ard_3-2-1_51JTF_2021-12-21_final
2022-01-13 11:43:51	ga_s2bm_ard_3-2-1_51KTR_2022-01-13_final
2022-01-18 10:55:00	ga_s2bm_ard_3-2-1_52JFQ_2022-01-18_final
2022-03-17 10:16:50	ga_s2bm_ard_3-2-1_53HQB_2022-03-17_final
2022-04-09 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2022-04-09_final
2022-04-24 11:10:32	ga_s2bm_ard_3-2-1_52LHM_2022-04-24_final
2022-05-13 11:44:14	ga_s2bm_ard_3-2-1_50KRU_2022-05-13_final
2022-07-21 10:37:03	ga_s2bm_ard_3-2-1_53HPA_2022-07-21_final
2022-07-29 11:35:20	ga_s2bm_ard_3-2-1_51JUK_2022-07-29_final
2022-08-07 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2022-08-07_final
2022-08-10 10:36:14	ga_s2bm_ard_3-2-1_53HME_2022-08-10_final
2022-09-03 11:53:33	ga_s2bm_ard_3-2-1_50KQB_2022-09-03_final.stac-item
2022-09-04 11:23:04	ga_s2bm_ard_3-2-1_52KCC_2022-09-04_final.stac-item
2022-09-25 10:54:45	ga_s2bm_ard_3-2-1_52JGR_2022-09-25_final.stac-item
2022-09-29 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-09-29_final.stac-item
2022-10-01 11:13:28	ga_s2bm_ard_3-2-1_51KZS_2022-10-01_final.stac-item
2022-11-20 11:12:49	ga_s2bm_ard_3-2-1_52KDD_2022-11-20_final.stac-item
2022-11-20 11:16:44	ga_s2bm_ard_3-2-1_51HWD_2022-11-20_final.stac-item
2022-12-23 11:21:35	ga_s2bm_ard_3-2-1_52LCJ_2022-12-23_final.stac-item
2023-01-08 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2023-01-08_final.stac-item
2023-02-01 11:22:09	ga_s2bm_ard_3-2-1_51KYB_2023-02-01_final.stac-item
2023-02-01 11:23:25	ga_s2bm_ard_3-2-1_52KCA_2023-02-01_final.stac-item
2023-02-21 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2023-02-21_final.stac-item
2023-03-16 11:33:42	ga_s2bm_ard_3-2-1_51KXR_2023-03-16_final.stac-item
2023-03-24 10:55:26	ga_s2bm_ard_3-2-1_53JKH_2023-03-24_final.stac-item
2023-04-19 11:15:20	ga_s2bm_ard_3-2-1_52JCP_2023-04-19_final.stac-item
2023-04-22 11:21:13	ga_s2bm_ard_3-2-1_51LZF_2023-04-22_nrt.stac-item
2023-04-24 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2023-04-24_final.stac-item
2023-05-26 11:01:47	ga_s2bm_ard_3-2-1_52LHH_2023-05-26_final.stac-item
2023-06-11 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2023-06-11_final.stac-item
2023-08-03 11:34:37	ga_s2bm_ard_3-2-1_51JUN_2023-08-03_final.stac-item
2023-08-03 11:34:59	ga_s2bm_ard_3-2-1_51JWL_2023-08-03_final.stac-item
2023-11-12 11:06:11	ga_s2bm_ard_3-2-1_52JBL_2023-11-12_final.stac-item
2023-12-09 10:55:56	ga_s2bm_ard_3-2-1_52JFL_2023-12-09_final.stac-item
2024-01-24 11:10:36	ga_s2bm_ard_3-2-1_52LHM_2024-01-24_final.stac-item
2024-02-06 11:22:22	ga_s2bm_ard_3-2-1_52KBF_2024-02-06_final.stac-item
2024-02-25 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2024-02-25_final.stac-item
2024-02-28 10:26:35	ga_s2bm_ard_3-2-1_53HPC_2024-02-28_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