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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JLM_2017-07-24_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HPG_2017-09-23_final.stac-item
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51JWJ_2017-09-30_final
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KGQ_2017-11-04_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51HWC_2017-12-29_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50KKA_2018-02-09_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JWK_2018-02-17_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50KRU_2018-03-05_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51JWM_2018-04-01_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HPH_2018-04-04_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KRC_2018-04-17_final
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KRC_2018-05-07_final
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_51JXH_2018-05-15_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_50KKA_2018-05-23_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HLH_2018-06-06_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50JPL_2018-06-13_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HPK_2018-06-23_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_50KQU_2018-10-01_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JKT_2018-10-27_final
2018-12-04 11:26:39	ga_s2bm_ard_3-2-1_51HVD_2018-12-04_final
2018-12-14 11:27:01	ga_s2bm_ard_3-2-1_51HTC_2018-12-14_final
2019-03-23 11:55:49	ga_s2bm_ard_3-2-1_50JNN_2019-03-23_final
2019-03-26 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2019-03-26_final
2019-04-02 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2019-04-02_final
2019-05-03 11:26:22	ga_s2bm_ard_3-2-1_51JVF_2019-05-03_final
2019-05-12 11:53:39	ga_s2bm_ard_3-2-1_50KMC_2019-05-12_final
2019-08-24 11:36:19	ga_s2bm_ard_3-2-1_51JUF_2019-08-24_final
2019-08-31 11:25:31	ga_s2bm_ard_3-2-1_51JWJ_2019-08-31_final
2019-10-16 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2019-10-16_final
2019-11-29 11:26:28	ga_s2bm_ard_3-2-1_51HUE_2019-11-29_final
2019-12-01 12:04:23	ga_s2bm_ard_3-2-1_50KKU_2019-12-01_final
2020-01-17 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2020-01-17_final
2020-01-28 11:26:51	ga_s2bm_ard_3-2-1_51HVC_2020-01-28_final
2020-05-17 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2020-05-17_final
2020-07-05 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2020-07-05_final
2020-07-05 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2020-07-05_final
2020-08-31 11:44:19	ga_s2bm_ard_3-2-1_50KRU_2020-08-31_final
2020-09-03 11:56:25	ga_s2bm_ard_3-2-1_50JML_2020-09-03_final
2020-09-04 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2020-09-04_final
2020-09-10 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2020-09-10_final.stac-item
2020-09-16 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2020-09-16_final
2020-09-26 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-09-26_final
2020-10-13 11:56:15	ga_s2bm_ard_3-2-1_50JLM_2020-10-13_final
2020-10-17 11:34:29	ga_s2bm_ard_3-2-1_51JWN_2020-10-17_final
2020-11-02 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-11-02_final.stac-item
2020-12-16 11:36:16	ga_s2bm_ard_3-2-1_50JQL_2020-12-16_final
2021-01-04 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2021-01-04_final
2021-02-01 11:26:07	ga_s2bm_ard_3-2-1_51JXF_2021-02-01_final
2021-02-17 11:45:37	ga_s2bm_ard_3-2-1_50JNP_2021-02-17_final
2021-03-02 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2021-03-02_final
2021-04-11 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2021-04-11_final
2021-05-22 11:24:29	ga_s2bm_ard_3-2-1_51JWN_2021-05-22_final
2021-06-13 12:03:21	ga_s2bm_ard_3-2-1_50KNC_2021-06-13_final
2021-06-24 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2021-06-24_final
2021-07-13 12:04:23	ga_s2bm_ard_3-2-1_49KHQ_2021-07-13_final
2021-07-21 11:26:02	ga_s2bm_ard_3-2-1_51JVG_2021-07-21_final
2021-07-26 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-07-26_final
2021-08-09 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2021-08-09_final
2021-08-12 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2021-08-12_final
2021-09-05 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2021-09-05_final
2021-09-19 11:25:53	ga_s2bm_ard_3-2-1_51JWG_2021-09-19_final
2021-11-01 11:34:55	ga_s2bm_ard_3-2-1_51JWL_2021-11-01_final
2021-12-11 11:34:23	ga_s2bm_ard_3-2-1_51JVN_2021-12-11_final
2022-01-29 12:05:45	ga_s2bm_ard_3-2-1_50JLN_2022-01-29_final
2022-02-28 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2022-02-28_final
2022-03-10 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2022-03-10_final
2022-03-24 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2022-03-24_final.stac-item
2022-04-03 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2022-04-03_final
2022-04-27 11:25:06	ga_s2bm_ard_3-2-1_51JWK_2022-04-27_final
2022-04-30 11:34:30	ga_s2bm_ard_3-2-1_50JRT_2022-04-30_final
2022-05-26 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2022-05-26_final
2022-06-28 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2022-06-28_final
2022-06-29 11:36:22	ga_s2bm_ard_3-2-1_51JTF_2022-06-29_final
2022-07-28 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2022-07-28_final
2022-08-17 12:04:49	ga_s2bm_ard_3-2-1_50JKT_2022-08-17_final
2022-09-04 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2022-09-04_final.stac-item
2022-09-06 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2022-09-06_final.stac-item
2022-09-06 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2022-09-06_final.stac-item
2022-09-13 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2022-09-13_final.stac-item
2023-04-24 12:04:28	ga_s2bm_ard_3-2-1_50KKU_2023-04-24_final.stac-item
2023-04-28 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2023-04-28_final.stac-item
2023-05-24 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-05-24_final.stac-item
2023-06-07 11:46:35	ga_s2bm_ard_3-2-1_50HQK_2023-06-07_final.stac-item
2023-06-14 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-06-14_final.stac-item
2023-07-01 11:25:47	ga_s2bm_ard_3-2-1_51JWH_2023-07-01_final.stac-item
2023-07-14 11:35:23	ga_s2bm_ard_3-2-1_51JTK_2023-07-14_final.stac-item
2023-07-21 11:26:53	ga_s2bm_ard_3-2-1_51HUD_2023-07-21_final.stac-item
2023-07-23 12:04:48	ga_s2bm_ard_3-2-1_50JKT_2023-07-23_final.stac-item
2023-10-01 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-10-01_final.stac-item
2023-10-11 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-10-11_final.stac-item
2023-10-11 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2023-10-11_final.stac-item
2023-10-25 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2023-10-25_final.stac-item
2023-10-28 11:54:09	ga_s2bm_ard_3-2-1_50KNV_2023-10-28_final.stac-item
2023-11-08 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2023-11-08_final.stac-item
2023-11-11 11:36:15	ga_s2bm_ard_3-2-1_51JUF_2023-11-11_final.stac-item
2023-12-27 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2023-12-27_final.stac-item
2024-02-18 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2024-02-18_final.stac-item
2024-02-29 11:34:27	ga_s2bm_ard_3-2-1_51JVN_2024-02-29_final.stac-item
2024-04-15 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2024-04-15_final.stac-item
2024-04-21 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2024-04-21_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