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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KQF_2017-07-11_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HQH_2017-09-23_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HLH_2017-09-29_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KRC_2017-12-25_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HLH_2017-12-28_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-01-20_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JKN_2018-04-27_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HQG_2018-05-21_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50JPL_2018-06-10_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HPG_2018-08-22_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HNK_2018-09-11_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_50HQG_2018-10-08_final.stac-item
2018-11-20 11:43:11	ga_s2bm_ard_3-2-1_50KRC_2018-11-20_final
2018-12-09 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2018-12-09_final
2018-12-26 12:03:29	ga_s2bm_ard_3-2-1_50KNB_2018-12-26_final
2018-12-26 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2018-12-26_final
2018-12-26 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2018-12-26_final
2019-08-06 12:15:07	ga_s2bm_ard_3-2-1_49JFM_2019-08-06_final
2019-08-10 11:56:47	ga_s2bm_ard_3-2-1_50HLK_2019-08-10_final
2019-10-12 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2019-10-12_final
2019-11-01 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2019-11-01_final
2019-12-25 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2019-12-25_final.stac-item
2020-03-07 11:52:26	ga_s2bm_ard_3-2-1_50KQF_2020-03-07_final.stac-item
2020-03-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-03-20_final
2020-05-29 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2020-05-29_final
2020-06-21 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-06-21_final
2020-06-25 11:54:55	ga_s2bm_ard_3-2-1_50JPS_2020-06-25_final
2020-06-29 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-06-29_final
2020-07-25 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2020-07-25_final
2020-08-04 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2020-08-04_final
2020-10-10 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-10_final.stac-item
2020-10-20 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-20_final
2020-10-27 11:34:40	ga_s2bm_ard_3-2-1_50JRT_2020-10-27_final
2020-11-08 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2020-11-08_final
2020-11-18 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2020-11-18_final
2020-12-09 11:44:43	ga_s2bm_ard_3-2-1_50JRS_2020-12-09_final
2020-12-18 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2020-12-18_final
2020-12-25 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2020-12-25_final
2020-12-28 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-12-28_final
2021-01-04 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-01-04_final
2021-01-14 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2021-01-14_final
2021-01-14 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-01-14_final
2021-02-13 12:03:42	ga_s2bm_ard_3-2-1_50KNA_2021-02-13_final
2021-03-02 11:53:49	ga_s2bm_ard_3-2-1_50KPA_2021-03-02_final
2021-04-01 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-04-01_final.stac-item
2021-04-14 12:03:55	ga_s2bm_ard_3-2-1_50KKA_2021-04-14_final
2021-04-15 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2021-04-15_final
2021-04-24 12:05:46	ga_s2bm_ard_3-2-1_50JLN_2021-04-24_final
2021-04-27 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2021-04-27_final
2021-05-08 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2021-05-08_final.stac-item
2021-06-17 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-06-17_final
2021-07-06 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-07-06_final
2021-07-20 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2021-07-20_final.stac-item
2021-08-19 11:56:22	ga_s2bm_ard_3-2-1_50JML_2021-08-19_final
2021-09-01 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2021-09-01_final
2021-10-25 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2021-10-25_final
2021-11-11 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-11-11_final
2021-12-13 12:13:44	ga_s2bm_ard_3-2-1_50KKA_2021-12-13_final
2022-01-23 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2022-01-23_final
2022-02-12 11:43:12	ga_s2bm_ard_3-2-1_50KRC_2022-02-12_final
2022-02-25 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-02-25_final
2022-03-24 11:43:45	ga_s2bm_ard_3-2-1_50KRA_2022-03-24_final
2022-04-03 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2022-04-03_final
2022-04-26 11:53:04	ga_s2bm_ard_3-2-1_50KRC_2022-04-26_final
2022-05-09 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-05-09_final
2022-07-08 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2022-07-08_final
2022-07-22 11:46:39	ga_s2bm_ard_3-2-1_50HPK_2022-07-22_final
2022-08-01 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2022-08-01_final.stac-item
2022-08-10 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2022-08-10_final
2022-10-10 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-10-10_final.stac-item
2022-11-05 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2022-11-05_final.stac-item
2022-12-05 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-12-05_final.stac-item
2022-12-16 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2022-12-16_final.stac-item
2023-02-27 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2023-02-27_final.stac-item
2023-03-09 11:44:20	ga_s2bm_ard_3-2-1_50KRU_2023-03-09_final.stac-item
2023-03-09 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2023-03-09_final.stac-item
2023-03-28 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-03-28_final.stac-item
2023-04-24 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-04-24_final.stac-item
2023-05-08 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2023-05-08_final.stac-item
2023-06-23 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2023-06-23_final.stac-item
2023-07-20 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-07-20_final.stac-item
2023-09-18 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2023-09-18_final.stac-item
2023-09-28 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2023-09-28_final.stac-item
2023-10-08 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2023-10-08_final.stac-item
2023-10-28 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2023-10-28_final.stac-item
2023-11-04 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2023-11-04_final.stac-item
2023-11-07 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2023-11-07_final.stac-item
2023-11-24 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2023-11-24_final.stac-item
2023-12-03 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-12-03_final.stac-item
2023-12-30 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-12-30_final.stac-item
2024-01-06 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2024-01-06_final.stac-item
2024-02-08 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2024-02-08_final.stac-item
2024-02-08 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2024-02-08_final.stac-item
2024-02-11 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2024-02-11_final.stac-item
2024-02-18 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2024-02-18_final.stac-item
2024-02-29 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2024-02-29_final.stac-item
2024-04-08 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2024-04-08_final.stac-item
2024-04-29 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2024-04-29_final.stac-item
2024-05-09 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2024-05-09_final.stac-item
2024-05-12 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2024-05-12_interim.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