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
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JLL_2017-07-01_final
2017-07-05 11:27:30	ga_s2bm_ard_3-2-1_51KYT_2017-07-05_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49KGP_2017-12-11_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HPK_2018-01-24_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KWA_2018-02-10_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_50KRC_2018-02-23_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JKT_2018-03-01_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50KRC_2018-03-18_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HPJ_2018-04-04_final
2018-04-20 12:02:48	ga_s2bm_ard_3-2-1_50KMC_2018-04-20_final
2018-06-07 11:25:26	ga_s2bm_ard_3-2-1_51HUC_2018-06-07_final
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49KGP_2018-06-22_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JML_2018-07-03_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JQP_2018-07-23_final
2018-08-26 11:17:49	ga_s2bm_ard_3-2-1_51KYV_2018-08-26_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KWP_2018-10-08_final
2018-11-20 11:43:11	ga_s2bm_ard_3-2-1_50KRC_2018-11-20_final
2019-01-19 11:46:05	ga_s2bm_ard_3-2-1_50JPM_2019-01-19_final
2019-02-02 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2019-02-02_final
2019-02-15 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2019-02-15_final
2019-02-22 11:23:30	ga_s2bm_ard_3-2-1_51KZR_2019-02-22_final
2019-04-25 12:06:11	ga_s2bm_ard_3-2-1_50JLM_2019-04-25_final
2019-05-28 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-28_final
2019-06-01 11:52:42	ga_s2bm_ard_3-2-1_50KQF_2019-06-01_final.stac-item
2019-06-11 11:56:12	ga_s2bm_ard_3-2-1_50JNM_2019-06-11_final
2019-06-12 11:27:06	ga_s2bm_ard_3-2-1_51HVC_2019-06-12_final
2019-07-01 11:52:43	ga_s2bm_ard_3-2-1_50KQF_2019-07-01_final.stac-item
2019-07-07 12:14:03	ga_s2bm_ard_3-2-1_50KKA_2019-07-07_final
2019-07-31 11:53:18	ga_s2bm_ard_3-2-1_50KRC_2019-07-31_final
2019-08-17 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2019-08-17_final
2019-08-23 12:04:04	ga_s2bm_ard_3-2-1_50KKA_2019-08-23_final
2019-09-12 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2019-09-12_final
2019-11-11 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2019-11-11_final
2019-12-11 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2019-12-11_final
2020-01-03 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2020-01-03_final
2020-02-17 11:24:04	ga_s2bm_ard_3-2-1_51KYP_2020-02-17_final
2020-03-14 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2020-03-14_final
2020-04-20 11:33:58	ga_s2bm_ard_3-2-1_51KUQ_2020-04-20_final
2020-05-10 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2020-05-10_final
2020-07-06 11:22:25	ga_s2bm_ard_3-2-1_51KZA_2020-07-06_final
2020-07-22 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2020-07-22_final
2020-10-24 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2020-10-24_final
2020-10-24 11:23:53	ga_s2bm_ard_3-2-1_51KZQ_2020-10-24_final
2020-10-26 12:04:16	ga_s2bm_ard_3-2-1_50KKV_2020-10-26_final
2020-10-26 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2020-10-26_final
2020-10-30 11:44:54	ga_s2bm_ard_3-2-1_51JUL_2020-10-30_final
2020-12-26 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2020-12-26_final.stac-item
2020-12-29 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2020-12-29_final
2021-01-11 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2021-01-11_final.stac-item
2021-01-12 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2021-01-12_final
2021-03-03 11:24:36	ga_s2bm_ard_3-2-1_51JYM_2021-03-03_final
2021-04-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-04-04_final
2021-05-08 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2021-05-08_final
2021-05-08 11:43:16	ga_s2bm_ard_3-2-1_50KRC_2021-05-08_final
2021-05-25 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2021-05-25_final
2021-05-25 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2021-05-25_final
2021-08-29 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2021-08-29_final
2021-09-08 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2021-09-08_final
2021-11-01 11:35:46	ga_s2bm_ard_3-2-1_51JUH_2021-11-01_final
2021-11-28 11:22:56	ga_s2bm_ard_3-2-1_51KXU_2021-11-28_final
2021-12-31 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2021-12-31_final
2022-02-05 11:55:50	ga_s2bm_ard_3-2-1_50JMN_2022-02-05_final
2022-02-23 11:13:35	ga_s2bm_ard_3-2-1_51KZR_2022-02-23_final
2022-03-10 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2022-03-10_final
2022-03-24 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-03-24_final
2022-04-20 11:32:46	ga_s2bm_ard_3-2-1_51KYU_2022-04-20_final
2022-05-09 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2022-05-09_final
2022-06-21 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2022-06-21_final
2022-07-16 11:26:10	ga_s2bm_ard_3-2-1_51JUG_2022-07-16_final
2022-08-28 11:32:51	ga_s2bm_ard_3-2-1_51KYU_2022-08-28_final
2022-09-09 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2022-09-09_final.stac-item
2022-09-14 11:23:02	ga_s2bm_ard_3-2-1_51KXU_2022-09-14_final.stac-item
2022-09-17 11:34:27	ga_s2bm_ard_3-2-1_51JWN_2022-09-17_final.stac-item
2022-10-04 11:23:34	ga_s2bm_ard_3-2-1_51KZR_2022-10-04_final.stac-item
2022-10-10 11:44:58	ga_s2bm_ard_3-2-1_51JTL_2022-10-10_final.stac-item
2022-10-16 12:03:26	ga_s2bm_ard_3-2-1_50KLC_2022-10-16_final.stac-item
2022-10-17 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2022-10-17_final.stac-item
2023-01-21 11:54:06	ga_s2bm_ard_3-2-1_50KNV_2023-01-21_final.stac-item
2023-01-22 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2023-01-22_final.stac-item
2023-01-25 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2023-01-25_final.stac-item
2023-02-27 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2023-02-27_final.stac-item
2023-02-28 11:14:42	ga_s2bm_ard_3-2-1_51JYM_2023-02-28_final.stac-item
2023-03-20 11:13:57	ga_s2bm_ard_3-2-1_51KZQ_2023-03-20_final.stac-item
2023-04-02 11:24:33	ga_s2bm_ard_3-2-1_51JWN_2023-04-02_final.stac-item
2023-04-02 11:26:47	ga_s2bm_ard_3-2-1_51HVD_2023-04-02_final.stac-item
2023-04-12 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2023-04-12_final.stac-item
2023-04-19 11:16:32	ga_s2bm_ard_3-2-1_51HWE_2023-04-19_final.stac-item
2023-05-04 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2023-05-04_final.stac-item
2023-05-08 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2023-05-08_final.stac-item
2023-05-22 11:22:57	ga_s2bm_ard_3-2-1_51KZU_2023-05-22_final.stac-item
2023-06-06 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2023-06-06_final.stac-item
2023-07-07 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2023-07-07_final.stac-item
2023-07-14 11:37:05	ga_s2bm_ard_3-2-1_51HTC_2023-07-14_final.stac-item
2023-08-06 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-08-06_final.stac-item
2023-10-15 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2023-10-15_final.stac-item
2023-10-15 11:43:21	ga_s2bm_ard_3-2-1_50KRC_2023-10-15_final.stac-item
2023-11-04 11:44:19	ga_s2bm_ard_3-2-1_50KRU_2023-11-04_final.stac-item
2023-12-04 11:42:06	ga_s2bm_ard_3-2-1_51KWB_2023-12-04_final.stac-item
2024-01-19 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2024-01-19_final.stac-item
2024-03-06 11:54:00	ga_s2bm_ard_3-2-1_50KPV_2024-03-06_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