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_50HMG_2017-07-11_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HQH_2017-09-23_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HMH_2017-10-26_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JLM_2017-12-18_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-02-09_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-02-19_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KHR_2018-03-21_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNN_2018-03-25_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JLP_2018-03-28_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLN_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLP_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50KMC_2018-04-07_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50KLA_2018-04-10_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNR_2018-04-24_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HMG_2018-05-07_final.stac-item
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HMG_2018-05-17_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KHS_2018-05-20_final.stac-item
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_50KKA_2018-05-30_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGL_2018-05-30_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JMS_2018-08-05_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50HQH_2018-08-29_final
2018-09-08 11:37:08	ga_s2bm_ard_3-2-1_50HNG_2018-09-08_final.stac-item
2018-09-28 11:37:07	ga_s2bm_ard_3-2-1_50HPG_2018-09-28_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HMK_2018-10-31_final
2019-01-06 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2019-01-06_final.stac-item
2019-02-15 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2019-02-15_final.stac-item
2019-02-18 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2019-02-18_final.stac-item
2019-02-28 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2019-02-28_final
2019-04-05 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2019-04-05_final
2019-04-16 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2019-04-16_final
2019-04-19 11:46:11	ga_s2bm_ard_3-2-1_50JPM_2019-04-19_final
2019-05-09 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-05-09_final.stac-item
2019-05-15 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-05-15_final.stac-item
2019-05-28 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-05-28_final
2019-08-13 12:05:44	ga_s2bm_ard_3-2-1_50JLP_2019-08-13_final
2019-08-23 12:04:15	ga_s2bm_ard_3-2-1_50KLV_2019-08-23_final
2019-08-27 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2019-08-27_final.stac-item
2019-09-19 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2019-09-19_final
2019-10-12 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-10-12_final
2019-10-13 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-10-13_final
2020-04-02 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2020-04-02_final
2020-05-10 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2020-05-10_final
2020-06-28 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2020-06-28_final
2020-07-11 12:13:41	ga_s2bm_ard_3-2-1_50KKB_2020-07-11_final
2020-08-27 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2020-08-27_final
2020-10-26 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2020-10-26_final
2020-10-30 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2020-10-30_final.stac-item
2020-12-09 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2020-12-09_final
2021-01-04 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2021-01-04_final
2021-01-18 11:44:48	ga_s2bm_ard_3-2-1_50JQS_2021-01-18_final
2021-02-17 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2021-02-17_final
2021-02-26 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-02-26_final
2021-04-05 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2021-04-05_final
2021-04-14 12:03:55	ga_s2bm_ard_3-2-1_50KKA_2021-04-14_final
2021-04-17 12:13:35	ga_s2bm_ard_3-2-1_49KHS_2021-04-17_final.stac-item
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
2021-05-25 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-05-25_final
2021-05-28 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-05-28_final.stac-item
2021-06-13 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-06-13_final
2021-06-17 11:46:07	ga_s2bm_ard_3-2-1_50JPM_2021-06-17_final
2021-07-04 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-07-04_final
2021-07-07 11:45:23	ga_s2bm_ard_3-2-1_50JPQ_2021-07-07_final
2021-07-23 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2021-07-23_final
2021-08-09 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2021-08-09_final.stac-item
2021-08-12 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-08-12_final
2021-08-13 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2021-08-13_final
2021-08-19 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2021-08-19_final
2021-08-19 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2021-08-19_final
2021-10-22 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-10-22_final.stac-item
2021-11-14 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2021-11-14_final
2021-12-11 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2021-12-11_final
2022-03-23 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2022-03-23_final
2022-04-02 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2022-04-02_final
2022-04-06 11:53:18	ga_s2bm_ard_3-2-1_50KPC_2022-04-06_final
2022-04-26 11:55:58	ga_s2bm_ard_3-2-1_50JNM_2022-04-26_final
2022-05-16 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2022-05-16_final
2022-06-05 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2022-06-05_final
2022-06-28 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2022-06-28_final
2022-08-08 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2022-08-08_final
2022-08-17 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-08-17_final
2023-01-04 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2023-01-04_final.stac-item
2023-02-03 12:03:17	ga_s2bm_ard_3-2-1_50KNC_2023-02-03_final.stac-item
2023-02-17 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2023-02-17_final.stac-item
2023-02-23 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2023-02-23_final.stac-item
2023-02-27 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2023-02-27_final.stac-item
2023-04-05 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2023-04-05_final.stac-item
2023-04-11 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2023-04-11_final.stac-item
2023-04-14 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2023-04-14_final.stac-item
2023-04-18 11:46:17	ga_s2bm_ard_3-2-1_50JQL_2023-04-18_final.stac-item
2023-06-04 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2023-06-04_final.stac-item
2023-07-06 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-07-06_final.stac-item
2023-08-02 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-08-02_final.stac-item
2023-08-19 11:53:26	ga_s2bm_ard_3-2-1_50KPC_2023-08-19_final.stac-item
2023-10-01 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-10-01_final.stac-item
2023-11-27 11:52:34	ga_s2bm_ard_3-2-1_50KPF_2023-11-27_final.stac-item
2023-12-14 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2023-12-14_final.stac-item
2024-01-19 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2024-01-19_final.stac-item
2024-02-15 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2024-02-15_final.stac-item
2024-04-09 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2024-04-09_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