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
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HLJ_2017-09-09_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_51HYD_2017-09-17_final
2017-11-02 11:35:51	ga_s2bm_ard_3-2-1_50HQJ_2017-11-02_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_50HPH_2017-11-12_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_50JQM_2017-11-12_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KZU_2017-11-19_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51LZE_2017-11-19_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JPT_2017-12-05_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51LVC_2017-12-05_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51HWD_2018-01-15_final
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52LGJ_2018-01-22_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_52LFH_2018-01-25_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51HWD_2018-02-17_final
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_52KBV_2018-03-09_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52JGS_2018-03-10_final
2018-03-16 11:11:54	ga_s2bm_ard_3-2-1_51HYD_2018-03-16_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JGK_2018-03-21_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JDT_2018-05-02_final
2018-05-26 10:43:10	ga_s2bm_ard_3-2-1_53HLD_2018-05-26_final
2018-06-11 11:03:54	ga_s2bm_ard_3-2-1_51HYD_2018-06-11_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JKM_2018-06-19_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50JML_2018-09-11_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_50HPK_2018-10-08_final
2018-10-17 12:02:46	ga_s2bm_ard_3-2-1_50KNC_2018-10-17_final
2018-11-06 10:26:15	ga_s2bm_ard_3-2-1_53HQD_2018-11-06_final
2018-12-30 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2018-12-30_final
2019-01-06 11:31:16	ga_s2bm_ard_3-2-1_52LBK_2019-01-06_final
2019-03-20 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2019-03-20_final
2019-04-02 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2019-04-02_final
2019-04-29 11:47:10	ga_s2bm_ard_3-2-1_50HPH_2019-04-29_final
2019-05-26 11:34:52	ga_s2bm_ard_3-2-1_51JVM_2019-05-26_final
2019-06-22 11:25:18	ga_s2bm_ard_3-2-1_51JXK_2019-06-22_final
2019-07-05 11:34:41	ga_s2bm_ard_3-2-1_51JUN_2019-07-05_final
2019-07-05 11:36:43	ga_s2bm_ard_3-2-1_50HQK_2019-07-05_final
2019-08-29 10:46:28	ga_s2bm_ard_3-2-1_53HLD_2019-08-29_final
2019-11-01 10:26:33	ga_s2bm_ard_3-2-1_53HQC_2019-11-01_final
2019-11-15 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2019-11-15_final
2020-01-12 11:00:54	ga_s2bm_ard_3-2-1_52LHL_2020-01-12_final
2020-03-14 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2020-03-14_final
2020-03-16 10:46:22	ga_s2bm_ard_3-2-1_53HLD_2020-03-16_final
2020-03-17 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2020-03-17_final
2020-03-23 10:36:30	ga_s2bm_ard_3-2-1_53HPC_2020-03-23_final
2020-04-10 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2020-04-10_final
2020-04-29 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2020-04-29_final
2020-05-10 11:34:27	ga_s2bm_ard_3-2-1_51JVN_2020-05-10_final
2020-05-27 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2020-05-27_final
2020-09-19 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2020-09-19_final
2020-09-20 11:46:07	ga_s2bm_ard_3-2-1_50JPM_2020-09-20_final
2020-10-06 10:26:07	ga_s2bm_ard_3-2-1_53HQE_2020-10-06_final
2020-11-20 11:12:39	ga_s2bm_ard_3-2-1_52KCE_2020-11-20_final
2020-12-07 11:00:43	ga_s2bm_ard_3-2-1_52LHM_2020-12-07_final
2020-12-10 11:13:42	ga_s2bm_ard_3-2-1_52KEV_2020-12-10_final
2020-12-10 11:15:16	ga_s2bm_ard_3-2-1_52JCP_2020-12-10_final
2020-12-11 10:44:51	ga_s2bm_ard_3-2-1_53JMK_2020-12-11_final
2021-01-02 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2021-01-02_final
2021-01-03 10:55:38	ga_s2bm_ard_3-2-1_52JFM_2021-01-03_final
2021-01-06 11:02:32	ga_s2bm_ard_3-2-1_52KFE_2021-01-06_final
2021-02-05 11:02:14	ga_s2bm_ard_3-2-1_52KGF_2021-02-05_final
2021-02-07 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2021-02-07_final
2021-06-08 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2021-06-08_final
2021-06-11 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2021-06-11_final
2021-06-18 11:13:37	ga_s2bm_ard_3-2-1_52KCA_2021-06-18_final
2021-08-09 11:54:14	ga_s2bm_ard_3-2-1_50KQU_2021-08-09_final
2021-08-09 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2021-08-09_final
2021-09-28 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2021-09-28_final
2021-10-10 10:53:00	ga_s2bm_ard_3-2-1_52KHC_2021-10-10_final
2021-11-20 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2021-11-20_final
2021-11-22 11:05:49	ga_s2bm_ard_3-2-1_52JCM_2021-11-22_final
2022-01-30 11:32:34	ga_s2bm_ard_3-2-1_51KXV_2022-01-30_final
2022-01-31 11:00:24	ga_s2bm_ard_3-2-1_52LHN_2022-01-31_final
2022-02-03 11:12:26	ga_s2bm_ard_3-2-1_52KEE_2022-02-03_final
2022-02-03 11:12:55	ga_s2bm_ard_3-2-1_52KEC_2022-02-03_final
2022-02-27 10:55:18	ga_s2bm_ard_3-2-1_52JEP_2022-02-27_final
2022-03-21 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2022-03-21_final
2022-05-03 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2022-05-03_final
2022-06-19 11:34:09	ga_s2bm_ard_3-2-1_51KXP_2022-06-19_final
2022-06-29 11:31:23	ga_s2bm_ard_3-2-1_52LBK_2022-06-29_final
2022-07-28 12:05:42	ga_s2bm_ard_3-2-1_50JLP_2022-07-28_final
2022-08-28 11:36:29	ga_s2bm_ard_3-2-1_51HUE_2022-08-28_final
2022-10-03 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2022-10-03_final.stac-item
2022-10-27 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2022-10-27_final.stac-item
2022-10-30 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2022-10-30_final.stac-item
2022-11-21 10:44:24	ga_s2bm_ard_3-2-1_53JMM_2022-11-21_final.stac-item
2022-11-26 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2022-11-26_final.stac-item
2022-12-28 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2022-12-28_final.stac-item
2023-01-05 11:31:37	ga_s2bm_ard_3-2-1_51LYD_2023-01-05_final.stac-item
2023-01-17 10:36:56	ga_s2bm_ard_3-2-1_53HPA_2023-01-17_final.stac-item
2023-04-09 11:16:43	ga_s2bm_ard_3-2-1_51HXD_2023-04-09_final.stac-item
2023-09-12 11:33:05	ga_s2bm_ard_3-2-1_51KYT_2023-09-12_final.stac-item
2024-01-02 12:15:20	ga_s2bm_ard_3-2-1_49JGK_2024-01-02_final.stac-item
2024-01-04 11:15:48	ga_s2bm_ard_3-2-1_52JCM_2024-01-04_final.stac-item
2024-01-11 11:02:56	ga_s2bm_ard_3-2-1_52KEC_2024-01-11_final.stac-item
2024-01-24 11:10:42	ga_s2bm_ard_3-2-1_52LGM_2024-01-24_final.stac-item
2024-02-25 11:55:38	ga_s2bm_ard_3-2-1_50JMP_2024-02-25_final.stac-item
2024-03-01 11:01:55	ga_s2bm_ard_3-2-1_52KHG_2024-03-01_final.stac-item
2024-03-03 11:44:42	ga_s2bm_ard_3-2-1_50JPT_2024-03-03_final.stac-item
2024-03-04 11:13:33	ga_s2bm_ard_3-2-1_52KCA_2024-03-04_final.stac-item
2024-03-07 11:26:56	ga_s2bm_ard_3-2-1_51HUC_2024-03-07_final.stac-item
2024-03-19 10:26:32	ga_s2bm_ard_3-2-1_53HQC_2024-03-19_final.stac-item
2024-04-18 10:26:55	ga_s2bm_ard_3-2-1_53HNB_2024-04-18_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