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_50KQC_2017-07-11_final
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50KQC_2017-08-20_final
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50JMM_2017-08-30_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50JRT_2017-09-16_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HLH_2017-09-29_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JLP_2017-11-18_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPG_2018-01-11_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51HTE_2018-01-11_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50KMC_2018-01-20_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50KRC_2018-03-08_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KGQ_2018-04-10_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50KLU_2018-05-20_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HPK_2018-05-21_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50JQL_2018-05-24_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HMJ_2018-06-13_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50KQC_2018-07-13_final
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50JQL_2018-08-19_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_50KRD_2018-10-21_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JKN_2018-10-27_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_50HQJ_2018-10-28_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50JPL_2018-10-31_final
2018-12-06 12:05:21	ga_s2bm_ard_3-2-1_50JKQ_2018-12-06_final
2018-12-17 11:35:35	ga_s2bm_ard_3-2-1_51JVH_2018-12-17_final
2018-12-26 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2018-12-26_final
2019-01-05 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2019-01-05_final
2019-01-25 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2019-01-25_final
2019-03-26 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-03-26_final
2019-06-12 11:26:54	ga_s2bm_ard_3-2-1_51HUD_2019-06-12_final
2019-06-15 11:36:50	ga_s2bm_ard_3-2-1_51HUD_2019-06-15_final
2019-06-18 11:46:51	ga_s2bm_ard_3-2-1_50HQJ_2019-06-18_final
2019-08-07 11:46:50	ga_s2bm_ard_3-2-1_50HQJ_2019-08-07_final
2019-08-17 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2019-08-17_final
2019-09-03 11:35:19	ga_s2bm_ard_3-2-1_51JUK_2019-09-03_final
2019-09-06 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2019-09-06_final.stac-item
2019-09-13 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2019-09-13_final
2019-11-25 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2019-11-25_final
2019-12-25 11:46:03	ga_s2bm_ard_3-2-1_50JNM_2019-12-25_final
2020-01-21 11:36:51	ga_s2bm_ard_3-2-1_51HUC_2020-01-21_final
2020-02-23 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2020-02-23_final
2020-03-24 11:43:16	ga_s2bm_ard_3-2-1_50KRC_2020-03-24_final
2020-03-27 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2020-03-27_final
2020-03-31 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2020-03-31_final
2020-04-06 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2020-04-06_final
2020-06-18 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2020-06-18_final
2020-07-08 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2020-07-08_final
2020-07-25 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2020-07-25_final
2020-08-25 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2020-08-25_final
2020-09-09 12:13:57	ga_s2bm_ard_3-2-1_50KKA_2020-09-09_final
2020-09-14 11:26:56	ga_s2bm_ard_3-2-1_51HWC_2020-09-14_final.stac-item
2020-09-27 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2020-09-27_final
2020-10-01 11:16:44	ga_s2bm_ard_3-2-1_51HXD_2020-10-01_final
2020-10-17 11:36:46	ga_s2bm_ard_3-2-1_51HUD_2020-10-17_final
2020-12-26 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2020-12-26_final.stac-item
2021-01-18 11:44:48	ga_s2bm_ard_3-2-1_50JQS_2021-01-18_final
2021-01-21 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-01-21_final
2021-04-01 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-04-01_final.stac-item
2021-04-18 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2021-04-18_final.stac-item
2021-05-18 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2021-05-18_final
2021-05-22 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2021-05-22_final
2021-05-27 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-05-27_final
2021-06-30 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2021-06-30_final
2021-07-23 12:03:50	ga_s2bm_ard_3-2-1_50KKB_2021-07-23_final
2021-07-31 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2021-07-31_final
2021-10-12 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2021-10-12_final
2021-10-25 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2021-10-25_final
2021-12-31 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2021-12-31_final
2022-01-13 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2022-01-13_final
2022-02-09 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2022-02-09_final.stac-item
2022-03-10 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2022-03-10_final
2022-03-24 11:44:03	ga_s2bm_ard_3-2-1_50KQV_2022-03-24_final
2022-03-30 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2022-03-30_final
2022-05-19 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2022-05-19_final
2022-06-02 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-06-02_final
2022-06-15 11:53:28	ga_s2bm_ard_3-2-1_50KNC_2022-06-15_final
2022-07-13 11:16:27	ga_s2bm_ard_3-2-1_51HYE_2022-07-13_final
2022-07-15 11:56:26	ga_s2bm_ard_3-2-1_50JML_2022-07-15_final
2022-07-29 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2022-07-29_final
2022-08-24 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2022-08-24_final
2022-10-13 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2022-10-13_final.stac-item
2022-11-06 11:36:12	ga_s2bm_ard_3-2-1_51JUF_2022-11-06_final.stac-item
2023-02-26 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2023-02-26_final.stac-item
2023-03-25 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2023-03-25_final.stac-item
2023-03-29 11:43:25	ga_s2bm_ard_3-2-1_50KQC_2023-03-29_final.stac-item
2023-04-01 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2023-04-01_final.stac-item
2023-04-04 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2023-04-04_final.stac-item
2023-04-16 11:06:38	ga_s2bm_ard_3-2-1_51HYD_2023-04-16_final.stac-item
2023-07-03 12:04:04	ga_s2bm_ard_3-2-1_50KKA_2023-07-03_final.stac-item
2023-07-31 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2023-07-31_final.stac-item
2023-08-05 12:14:12	ga_s2bm_ard_3-2-1_50KKV_2023-08-05_final.stac-item
2023-08-09 11:53:16	ga_s2bm_ard_3-2-1_50KRC_2023-08-09_final.stac-item
2023-08-12 12:04:48	ga_s2bm_ard_3-2-1_50JKT_2023-08-12_final.stac-item
2023-09-02 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2023-09-02_final.stac-item
2023-10-29 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2023-10-29_final.stac-item
2023-12-14 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2023-12-14_final.stac-item
2023-12-23 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2023-12-23_final.stac-item
2024-04-02 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2024-04-02_final.stac-item
2024-04-05 11:54:35	ga_s2bm_ard_3-2-1_50JNT_2024-04-05_final.stac-item
2024-04-25 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2024-04-25_final.stac-item
2024-04-28 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2024-04-28_final.stac-item
2024-05-08 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2024-05-08_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