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
2017-12-07 10:42:54	ga_s2bm_ard_3-2-1_53HMD_2017-12-07_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KWQ_2018-01-28_final
2018-04-05 11:07:09	ga_s2bm_ard_3-2-1_52LFN_2018-04-05_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KWR_2018-04-11_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KYU_2018-05-28_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KYU_2018-07-17_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KWU_2018-07-20_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51HXD_2018-07-27_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51KUS_2018-10-01_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51KUT_2018-10-01_final
2018-12-24 11:23:06	ga_s2bm_ard_3-2-1_51KYT_2018-12-24_final
2018-12-27 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2018-12-27_final
2019-01-16 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2019-01-16_final
2019-03-04 11:22:54	ga_s2bm_ard_3-2-1_51KYU_2019-03-04_final
2019-03-24 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2019-03-24_final
2019-03-27 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2019-03-27_final
2019-04-06 11:32:48	ga_s2bm_ard_3-2-1_51KXV_2019-04-06_final
2019-04-06 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2019-04-06_final
2019-05-07 11:03:07	ga_s2bm_ard_3-2-1_52KGC_2019-05-07_final
2019-08-18 11:13:46	ga_s2bm_ard_3-2-1_51KZR_2019-08-18_final
2019-09-07 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2019-09-07_final
2019-10-07 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2019-10-07_final.stac-item
2019-10-20 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2019-10-20_final
2019-11-02 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2019-11-02_final
2019-11-05 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2019-11-05_final
2019-11-12 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2019-11-12_final
2019-11-15 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2019-11-15_final
2019-12-16 11:13:02	ga_s2bm_ard_3-2-1_52KCC_2019-12-16_final
2020-01-11 11:35:28	ga_s2bm_ard_3-2-1_51JTJ_2020-01-11_final
2020-01-12 11:02:39	ga_s2bm_ard_3-2-1_52KGD_2020-01-12_final
2020-01-12 11:03:29	ga_s2bm_ard_3-2-1_52KEA_2020-01-12_final
2020-01-22 11:02:41	ga_s2bm_ard_3-2-1_52KFD_2020-01-22_final
2020-01-31 11:32:54	ga_s2bm_ard_3-2-1_51KVU_2020-01-31_final
2020-02-04 11:16:34	ga_s2bm_ard_3-2-1_51HXD_2020-02-04_final
2020-04-14 11:12:58	ga_s2bm_ard_3-2-1_52KDC_2020-04-14_final
2020-06-29 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2020-06-29_final
2020-07-02 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2020-07-02_final
2020-08-08 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2020-08-08_final
2020-08-31 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-08-31_final
2020-09-27 11:33:01	ga_s2bm_ard_3-2-1_51KWU_2020-09-27_final
2020-10-27 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2020-10-27_final
2020-11-10 11:14:30	ga_s2bm_ard_3-2-1_51JYN_2020-11-10_final
2020-11-19 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2020-11-19_final
2020-11-23 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2020-11-23_final
2021-02-14 11:32:30	ga_s2bm_ard_3-2-1_51KVA_2021-02-14_final
2021-02-24 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2021-02-24_final
2021-02-28 11:13:17	ga_s2bm_ard_3-2-1_52KDB_2021-02-28_final
2021-03-09 11:41:17	ga_s2bm_ard_3-2-1_51LUF_2021-03-09_final
2021-04-09 11:13:26	ga_s2bm_ard_3-2-1_51KZS_2021-04-09_final
2021-04-28 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2021-04-28_final
2021-05-19 11:13:18	ga_s2bm_ard_3-2-1_52KDB_2021-05-19_final
2021-05-29 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2021-05-29_final
2021-06-18 11:11:20	ga_s2bm_ard_3-2-1_52LEK_2021-06-18_final.stac-item
2021-06-28 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2021-06-28_final
2021-07-14 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2021-07-14_final
2021-07-17 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2021-07-17_final
2021-07-30 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2021-07-30_final.stac-item
2021-08-03 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2021-08-03_final
2021-08-29 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2021-08-29_final.stac-item
2021-09-02 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2021-09-02_final
2021-09-09 11:23:10	ga_s2bm_ard_3-2-1_51KXT_2021-09-09_final
2021-09-25 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2021-09-25_final
2021-11-02 11:00:31	ga_s2bm_ard_3-2-1_52LHN_2021-11-02_final
2021-12-25 11:11:29	ga_s2bm_ard_3-2-1_52LDJ_2021-12-25_final
2022-01-10 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2022-01-10_final
2022-02-09 11:33:07	ga_s2bm_ard_3-2-1_51KWT_2022-02-09_final
2022-02-19 11:32:13	ga_s2bm_ard_3-2-1_51KVB_2022-02-19_final
2022-06-03 11:13:18	ga_s2bm_ard_3-2-1_52KDB_2022-06-03_final
2022-06-04 10:46:06	ga_s2bm_ard_3-2-1_53HME_2022-06-04_final
2022-08-22 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2022-08-22_final.stac-item
2022-09-10 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2022-09-10_final.stac-item
2022-10-04 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2022-10-04_final.stac-item
2022-10-10 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2022-10-10_final.stac-item
2022-10-17 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2022-10-17_final.stac-item
2022-11-06 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2022-11-06_final.stac-item
2022-11-17 11:03:09	ga_s2bm_ard_3-2-1_52KHB_2022-11-17_final.stac-item
2022-11-20 11:14:30	ga_s2bm_ard_3-2-1_51JYN_2022-11-20_final.stac-item
2022-11-27 11:00:29	ga_s2bm_ard_3-2-1_52LHN_2022-11-27_final.stac-item
2022-12-10 11:13:51	ga_s2bm_ard_3-2-1_51KZQ_2022-12-10_final.stac-item
2022-12-16 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2022-12-16_final.stac-item
2022-12-17 11:00:29	ga_s2bm_ard_3-2-1_52LHN_2022-12-17_final.stac-item
2023-01-05 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2023-01-05_final.stac-item
2023-02-27 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2023-02-27_final.stac-item
2023-04-08 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2023-04-08_final.stac-item
2023-05-02 11:24:10	ga_s2bm_ard_3-2-1_51KYP_2023-05-02_final.stac-item
2023-06-04 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2023-06-04_final.stac-item
2023-08-03 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2023-08-03_final.stac-item
2023-08-17 11:13:45	ga_s2bm_ard_3-2-1_51KZR_2023-08-17_final.stac-item
2023-10-23 11:03:43	ga_s2bm_ard_3-2-1_52KGV_2023-10-23_final.stac-item
2023-11-18 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2023-11-18_final.stac-item
2024-01-13 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2024-01-13_final.stac-item
2024-02-03 11:13:52	ga_s2bm_ard_3-2-1_52KBV_2024-02-03_final.stac-item
2024-02-09 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2024-02-09_final.stac-item
2024-03-01 11:00:46	ga_s2bm_ard_3-2-1_52LGM_2024-03-01_final.stac-item
2024-03-04 11:16:33	ga_s2bm_ard_3-2-1_51HYD_2024-03-04_final.stac-item
2024-03-22 10:36:32	ga_s2bm_ard_3-2-1_53HPC_2024-03-22_final.stac-item
2024-03-24 11:10:33	ga_s2bm_ard_3-2-1_52LFN_2024-03-24_final.stac-item
2024-04-12 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2024-04-12_final.stac-item
2024-05-02 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2024-05-02_final.stac-item
2024-05-19 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2024-05-19_nrt.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