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 12:04:34	ga_s2bm_ard_3-2-1_50JKP_2017-07-04_final
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_50HPJ_2017-07-25_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_50JQL_2017-09-03_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KUP_2017-12-25_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HPH_2018-01-24_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51JUM_2018-02-03_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_51JVF_2018-03-12_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51KVV_2018-03-22_final
2018-05-08 11:24:04	ga_s2bm_ard_3-2-1_51JXJ_2018-05-08_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50KPC_2018-08-05_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50JQM_2018-08-22_final
2018-11-17 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2018-11-17_final.stac-item
2019-01-05 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2019-01-05_final
2019-01-12 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2019-01-12_final
2019-01-20 11:15:42	ga_s2bm_ard_3-2-1_51JXH_2019-01-20_final
2019-02-28 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2019-02-28_final
2019-04-26 11:35:52	ga_s2bm_ard_3-2-1_51JUH_2019-04-26_final
2019-05-02 11:57:02	ga_s2bm_ard_3-2-1_50HLJ_2019-05-02_final
2019-05-03 11:25:53	ga_s2bm_ard_3-2-1_51JVH_2019-05-03_final
2019-05-26 11:34:23	ga_s2bm_ard_3-2-1_51KVP_2019-05-26_final
2019-07-05 11:32:38	ga_s2bm_ard_3-2-1_51KWA_2019-07-05_final
2019-07-19 11:15:51	ga_s2bm_ard_3-2-1_51JXH_2019-07-19_final
2019-08-04 11:36:56	ga_s2bm_ard_3-2-1_50HQJ_2019-08-04_final
2019-08-18 11:16:07	ga_s2bm_ard_3-2-1_51JYG_2019-08-18_final
2020-01-01 11:36:09	ga_s2bm_ard_3-2-1_51JUF_2020-01-01_final
2020-02-09 12:03:35	ga_s2bm_ard_3-2-1_50KLB_2020-02-09_final
2020-02-17 11:24:28	ga_s2bm_ard_3-2-1_51JZM_2020-02-17_final
2020-03-08 11:25:58	ga_s2bm_ard_3-2-1_51JVG_2020-03-08_final
2020-03-11 11:35:06	ga_s2bm_ard_3-2-1_51JWK_2020-03-11_final
2020-05-02 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2020-05-02_final
2020-05-17 11:26:22	ga_s2bm_ard_3-2-1_51HXE_2020-05-17_final
2020-05-19 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2020-05-19_final
2020-06-29 11:36:29	ga_s2bm_ard_3-2-1_50JPL_2020-06-29_final
2020-07-08 12:04:27	ga_s2bm_ard_3-2-1_50KLU_2020-07-08_final
2020-07-09 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2020-07-09_final
2020-07-28 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-07-28_final
2020-09-07 11:35:33	ga_s2bm_ard_3-2-1_51JUJ_2020-09-07_final
2021-01-15 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2021-01-15_final
2021-04-12 11:24:15	ga_s2bm_ard_3-2-1_51JZN_2021-04-12_final
2021-05-11 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2021-05-11_final.stac-item
2021-05-24 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2021-05-24_final
2021-05-28 11:44:02	ga_s2bm_ard_3-2-1_50KRV_2021-05-28_final
2021-07-20 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2021-07-20_final
2021-07-27 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2021-07-27_final
2021-07-27 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2021-07-27_final.stac-item
2021-08-02 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2021-08-02_final
2021-08-10 11:25:39	ga_s2bm_ard_3-2-1_51JXH_2021-08-10_final
2021-08-13 11:34:29	ga_s2bm_ard_3-2-1_51JVN_2021-08-13_final
2021-09-15 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2021-09-15_final
2021-09-25 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2021-09-25_final
2021-10-02 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2021-10-02_final
2021-11-10 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2021-11-10_final
2021-11-20 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2021-11-20_final
2021-11-24 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2021-11-24_final
2021-12-11 11:34:19	ga_s2bm_ard_3-2-1_51JWN_2021-12-11_final
2022-02-26 11:25:09	ga_s2bm_ard_3-2-1_51JWK_2022-02-26_final
2022-03-15 11:15:08	ga_s2bm_ard_3-2-1_51JYK_2022-03-15_final
2022-05-20 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2022-05-20_final
2022-06-23 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2022-06-23_final
2022-06-28 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2022-06-28_final
2022-07-18 12:03:24	ga_s2bm_ard_3-2-1_50KNC_2022-07-18_final
2022-07-29 11:34:19	ga_s2bm_ard_3-2-1_51KVP_2022-07-29_final
2022-08-01 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2022-08-01_final.stac-item
2022-08-25 11:25:46	ga_s2bm_ard_3-2-1_51JVH_2022-08-25_final
2022-09-19 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-09-19_final.stac-item
2022-10-21 11:15:10	ga_s2bm_ard_3-2-1_51JYK_2022-10-21_final.stac-item
2022-10-26 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2022-10-26_final.stac-item
2022-10-30 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2022-10-30_final.stac-item
2022-12-09 11:43:58	ga_s2bm_ard_3-2-1_50KRV_2022-12-09_final.stac-item
2023-01-04 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2023-01-04_final.stac-item
2023-02-17 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2023-02-17_final.stac-item
2023-02-23 12:03:56	ga_s2bm_ard_3-2-1_50KLA_2023-02-23_final.stac-item
2023-03-05 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2023-03-05_final.stac-item
2023-03-29 11:46:08	ga_s2bm_ard_3-2-1_50JPM_2023-03-29_final.stac-item
2023-04-28 11:44:46	ga_s2bm_ard_3-2-1_50JRS_2023-04-28_final.stac-item
2023-05-02 11:25:59	ga_s2bm_ard_3-2-1_51JWG_2023-05-02_final.stac-item
2023-06-13 12:03:43	ga_s2bm_ard_3-2-1_50KMB_2023-06-13_final.stac-item
2023-06-23 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-06-23_final.stac-item
2023-07-10 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-07-10_final.stac-item
2023-07-13 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-07-13_final.stac-item
2023-07-27 11:43:10	ga_s2bm_ard_3-2-1_50KRD_2023-07-27_final.stac-item
2023-08-16 11:43:49	ga_s2bm_ard_3-2-1_51KUR_2023-08-16_final.stac-item
2023-08-23 11:32:24	ga_s2bm_ard_3-2-1_51KVB_2023-08-23_final.stac-item
2023-08-26 11:43:11	ga_s2bm_ard_3-2-1_51KUU_2023-08-26_final.stac-item
2023-08-30 11:24:49	ga_s2bm_ard_3-2-1_51JYM_2023-08-30_final.stac-item
2023-09-01 12:03:46	ga_s2bm_ard_3-2-1_50KLB_2023-09-01_final.stac-item
2023-09-12 11:34:35	ga_s2bm_ard_3-2-1_51JUN_2023-09-12_final.stac-item
2023-09-21 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2023-09-21_final.stac-item
2023-09-24 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2023-09-24_final.stac-item
2023-09-25 11:43:22	ga_s2bm_ard_3-2-1_50KRC_2023-09-25_final.stac-item
2023-10-21 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2023-10-21_final.stac-item
2023-11-17 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2023-11-17_final.stac-item
2023-11-30 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-11-30_final.stac-item
2023-11-30 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2023-11-30_final.stac-item
2024-01-13 11:43:34	ga_s2bm_ard_3-2-1_51KVR_2024-01-13_final.stac-item
2024-02-16 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2024-02-16_final.stac-item
2024-02-21 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2024-02-21_final.stac-item
2024-03-12 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2024-03-12_final.stac-item
2024-03-30 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2024-03-30_final.stac-item
2024-04-06 11:26:16	ga_s2bm_ard_3-2-1_51JUF_2024-04-06_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