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
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JML_2017-09-29_final
2017-10-09 11:55:53	ga_s2bm_ard_3-2-1_50HMJ_2017-10-09_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KVU_2017-10-13_final
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KVT_2017-11-02_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KRC_2017-12-08_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JNM_2017-12-18_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KUV_2017-12-25_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-01-20_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50HQH_2018-01-31_final
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KUS_2018-02-13_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLH_2018-02-16_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JVM_2018-03-02_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51KVU_2018-03-22_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_50KRD_2018-03-25_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HNG_2018-07-03_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HPH_2018-09-11_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51JUF_2018-10-08_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KUR_2018-10-28_final
2018-12-04 11:26:31	ga_s2bm_ard_3-2-1_51HXD_2018-12-04_final
2018-12-20 11:43:31	ga_s2bm_ard_3-2-1_51KVR_2018-12-20_final
2019-01-26 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2019-01-26_final
2019-02-08 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2019-02-08_final
2019-02-17 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2019-02-17_final
2019-02-25 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2019-02-25_final
2019-03-10 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2019-03-10_final.stac-item
2019-06-01 11:53:39	ga_s2bm_ard_3-2-1_50KMC_2019-06-01_final
2019-06-28 11:42:50	ga_s2bm_ard_3-2-1_51KVV_2019-06-28_final
2019-07-08 11:42:54	ga_s2bm_ard_3-2-1_51KUV_2019-07-08_final
2019-08-04 11:37:34	ga_s2bm_ard_3-2-1_50HNG_2019-08-04_final.stac-item
2019-08-17 11:42:48	ga_s2bm_ard_3-2-1_51KVV_2019-08-17_final
2019-09-12 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2019-09-12_final
2019-09-16 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2019-09-16_final
2019-09-26 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2019-09-26_final
2019-10-19 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2019-10-19_final.stac-item
2019-10-20 11:25:11	ga_s2bm_ard_3-2-1_51JXK_2019-10-20_final
2019-11-28 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2019-11-28_final.stac-item
2019-12-22 11:36:37	ga_s2bm_ard_3-2-1_51HUD_2019-12-22_final
2020-01-04 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2020-01-04_final
2020-01-13 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2020-01-13_final
2020-01-25 11:16:37	ga_s2bm_ard_3-2-1_51HWD_2020-01-25_final
2020-02-19 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2020-02-19_final
2020-03-07 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2020-03-07_final.stac-item
2020-08-10 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-08-10_final
2020-08-11 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2020-08-11_final
2020-09-27 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2020-09-27_final
2020-09-27 11:32:49	ga_s2bm_ard_3-2-1_51KVV_2020-09-27_final
2020-10-04 11:25:46	ga_s2bm_ard_3-2-1_51JWH_2020-10-04_final
2020-10-10 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2020-10-10_final
2020-10-20 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-10-20_final
2020-10-27 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2020-10-27_final.stac-item
2020-11-09 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2020-11-09_final
2020-12-19 11:44:23	ga_s2bm_ard_3-2-1_51JUN_2020-12-19_final
2020-12-20 11:15:26	ga_s2bm_ard_3-2-1_51JXJ_2020-12-20_final
2021-01-18 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2021-01-18_final
2021-01-25 11:36:23	ga_s2bm_ard_3-2-1_51HVE_2021-01-25_final
2021-02-04 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2021-02-04_final
2021-04-05 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2021-04-05_final
2021-04-15 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2021-04-15_final
2021-05-11 11:52:32	ga_s2bm_ard_3-2-1_50KQF_2021-05-11_final.stac-item
2021-06-14 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2021-06-14_final
2021-06-17 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-06-17_final
2021-06-18 11:14:42	ga_s2bm_ard_3-2-1_51JYM_2021-06-18_final
2021-09-22 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2021-09-22_final
2021-10-02 11:32:49	ga_s2bm_ard_3-2-1_51KVV_2021-10-02_final
2021-10-02 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2021-10-02_final
2021-10-12 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-10-12_final.stac-item
2021-11-24 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2021-11-24_final
2021-11-24 11:44:04	ga_s2bm_ard_3-2-1_50KRU_2021-11-24_final
2022-01-29 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2022-01-29_final
2022-02-09 11:32:41	ga_s2bm_ard_3-2-1_51KVV_2022-02-09_final
2022-03-25 11:14:21	ga_s2bm_ard_3-2-1_51JZN_2022-03-25_final
2022-04-02 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2022-04-02_final
2022-04-20 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2022-04-20_final
2022-04-26 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2022-04-26_final
2022-05-23 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2022-05-23_final
2022-08-08 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2022-08-08_final
2022-09-16 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2022-09-16_final.stac-item
2022-10-17 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2022-10-17_final.stac-item
2022-11-09 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2022-11-09_final.stac-item
2022-11-23 11:24:36	ga_s2bm_ard_3-2-1_51JYM_2022-11-23_final.stac-item
2022-12-25 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2022-12-25_final.stac-item
2023-02-03 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2023-02-03_final.stac-item
2023-02-24 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2023-02-24_final.stac-item
2023-02-27 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2023-02-27_final.stac-item
2023-02-27 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2023-02-27_final.stac-item
2023-04-04 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2023-04-04_final.stac-item
2023-04-15 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2023-04-15_final.stac-item
2023-05-24 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-05-24_final.stac-item
2023-06-14 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2023-06-14_final.stac-item
2023-07-20 11:53:27	ga_s2bm_ard_3-2-1_50KPC_2023-07-20_final.stac-item
2023-08-03 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-08-03_final.stac-item
2023-08-29 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2023-08-29_final.stac-item
2023-11-01 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2023-11-01_final.stac-item
2023-11-23 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2023-11-23_final.stac-item
2023-12-24 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2023-12-24_final.stac-item
2024-01-03 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2024-01-03_final.stac-item
2024-01-12 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2024-01-12_final.stac-item
2024-03-10 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2024-03-10_final.stac-item
2024-03-30 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2024-03-30_final.stac-item
2024-04-26 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2024-04-26_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