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 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2017-07-11_final
2017-07-17 12:13:21	ga_s2bm_ard_3-2-1_49KGQ_2017-07-17_final
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HPH_2017-07-18_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JMM_2017-11-08_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HNJ_2017-11-15_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50KKV_2017-11-21_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50JPS_2017-12-15_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49KHQ_2017-12-21_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HMJ_2017-12-25_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JRS_2018-01-14_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JHN_2018-03-31_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HLJ_2018-06-06_final
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-07-02_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HPG_2018-07-23_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JPL_2018-07-23_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_50JKT_2018-07-29_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HNG_2018-08-22_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_50KLU_2018-08-28_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HMH_2018-09-04_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HMG_2018-10-31_final.stac-item
2018-11-06 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2018-11-06_final
2018-11-19 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2018-11-19_final
2018-11-29 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2018-11-29_final
2018-12-09 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2018-12-09_final
2018-12-10 11:46:42	ga_s2bm_ard_3-2-1_50HPJ_2018-12-10_final
2018-12-20 11:44:26	ga_s2bm_ard_3-2-1_50JRT_2018-12-20_final
2018-12-23 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2018-12-23_final
2019-02-04 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2019-02-04_final
2019-02-04 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2019-02-04_final
2019-02-24 12:04:12	ga_s2bm_ard_3-2-1_50KKV_2019-02-24_final
2019-02-25 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2019-02-25_final.stac-item
2019-03-09 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2019-03-09_final
2019-03-16 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2019-03-16_final
2019-05-26 11:34:58	ga_s2bm_ard_3-2-1_50JRS_2019-05-26_final
2019-07-18 11:47:33	ga_s2bm_ard_3-2-1_50HMG_2019-07-18_final.stac-item
2019-08-23 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2019-08-23_final
2019-08-30 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2019-08-30_final
2019-09-05 12:13:42	ga_s2bm_ard_3-2-1_50KKB_2019-09-05_final
2019-09-15 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-09-15_final
2019-10-09 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2019-10-09_final
2019-10-26 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2019-10-26_final
2019-10-29 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-10-29_final
2019-12-11 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2019-12-11_final
2020-01-10 12:04:19	ga_s2bm_ard_3-2-1_50KLU_2020-01-10_final
2020-02-12 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-02-12_final
2020-02-29 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2020-02-29_final
2020-04-16 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2020-04-16_final
2020-04-22 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-04-22_final
2020-04-29 12:03:37	ga_s2bm_ard_3-2-1_50KLB_2020-04-29_final
2020-05-06 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2020-05-06_final
2020-05-09 12:03:31	ga_s2bm_ard_3-2-1_50KNB_2020-05-09_final
2020-06-08 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-06-08_final
2020-06-28 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-06-28_final
2020-06-28 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-06-28_final
2020-08-24 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2020-08-24_final
2020-08-24 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2020-08-24_final
2021-01-18 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2021-01-18_final
2021-02-04 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-02-04_final
2021-02-07 11:46:04	ga_s2bm_ard_3-2-1_50JPM_2021-02-07_final
2021-02-13 12:03:42	ga_s2bm_ard_3-2-1_50KNA_2021-02-13_final
2021-02-17 11:45:48	ga_s2bm_ard_3-2-1_50JPN_2021-02-17_final
2021-02-17 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2021-02-17_final
2021-02-26 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-02-26_final
2021-05-21 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-05-21_final
2021-06-17 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-06-17_final
2021-07-07 11:45:13	ga_s2bm_ard_3-2-1_50JNR_2021-07-07_final
2021-07-24 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2021-07-24_final.stac-item
2021-08-29 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2021-08-29_final
2021-09-14 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2021-09-14_final
2021-11-27 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2021-11-27_final
2021-11-30 12:04:23	ga_s2bm_ard_3-2-1_50KKU_2021-11-30_final
2021-12-20 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2021-12-20_final
2021-12-23 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2021-12-23_final
2022-05-12 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2022-05-12_final
2022-05-13 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2022-05-13_final.stac-item
2022-05-20 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2022-05-20_final.stac-item
2022-06-02 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2022-06-02_final.stac-item
2022-07-15 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2022-07-15_final
2022-07-25 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2022-07-25_final
2022-07-28 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2022-07-28_final
2022-08-04 11:54:52	ga_s2bm_ard_3-2-1_50JPS_2022-08-04_final
2022-09-26 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2022-09-26_final.stac-item
2022-10-16 12:03:26	ga_s2bm_ard_3-2-1_50KLC_2022-10-16_final.stac-item
2022-11-18 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2022-11-18_final.stac-item
2022-12-02 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2022-12-02_final.stac-item
2022-12-15 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2022-12-15_final.stac-item
2023-01-24 12:03:54	ga_s2bm_ard_3-2-1_50KLA_2023-01-24_final.stac-item
2023-03-19 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2023-03-19_final.stac-item
2023-04-28 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2023-04-28_final.stac-item
2023-06-06 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2023-06-06_final.stac-item
2023-06-17 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-06-17_final.stac-item
2023-07-03 12:04:04	ga_s2bm_ard_3-2-1_50KKA_2023-07-03_final.stac-item
2023-09-04 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2023-09-04_final.stac-item
2023-09-05 11:45:51	ga_s2bm_ard_3-2-1_50JQN_2023-09-05_final.stac-item
2023-09-25 11:46:29	ga_s2bm_ard_3-2-1_50JML_2023-09-25_final.stac-item
2023-10-02 11:35:52	ga_s2bm_ard_3-2-1_50JQN_2023-10-02_final.stac-item
2024-01-29 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2024-01-29_final.stac-item
2024-02-18 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2024-02-18_final.stac-item
2024-03-19 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2024-03-19_final.stac-item
2024-04-01 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2024-04-01_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