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
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51LXD_2017-12-22_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50KKA_2018-01-30_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51LWG_2018-04-14_final.stac-item
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_50KLB_2018-05-30_final
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-06-22_final
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49JGN_2018-07-02_final
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_51KZR_2018-07-27_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KWR_2018-07-30_final
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_50KRD_2018-08-02_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KHP_2018-08-18_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51JVG_2018-09-18_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KWA_2018-10-08_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KVB_2018-10-11_final
2018-12-27 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2018-12-27_final
2019-02-21 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2019-02-21_final
2019-02-28 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2019-02-28_final
2019-03-27 11:34:19	ga_s2bm_ard_3-2-1_51KUP_2019-03-27_final
2019-04-09 11:44:09	ga_s2bm_ard_3-2-1_50KQV_2019-04-09_final
2019-04-15 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2019-04-15_final
2019-05-06 11:36:51	ga_s2bm_ard_3-2-1_51HUD_2019-05-06_final
2019-05-12 11:53:33	ga_s2bm_ard_3-2-1_50KNC_2019-05-12_final
2019-05-25 12:05:36	ga_s2bm_ard_3-2-1_50JKQ_2019-05-25_final
2019-05-29 11:43:30	ga_s2bm_ard_3-2-1_50KQC_2019-05-29_final
2019-06-02 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2019-06-02_final
2019-06-05 11:32:37	ga_s2bm_ard_3-2-1_51KWA_2019-06-05_final
2019-06-28 11:42:18	ga_s2bm_ard_3-2-1_51KWB_2019-06-28_final
2019-08-11 11:22:59	ga_s2bm_ard_3-2-1_51KZU_2019-08-11_final
2019-08-31 11:25:17	ga_s2bm_ard_3-2-1_51JWK_2019-08-31_final
2019-09-12 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2019-09-12_final
2019-09-20 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2019-09-20_final
2019-09-30 11:22:09	ga_s2bm_ard_3-2-1_51KZB_2019-09-30_final
2019-11-29 11:23:31	ga_s2bm_ard_3-2-1_51KZR_2019-11-29_final
2019-12-12 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2019-12-12_final
2020-01-15 11:14:40	ga_s2bm_ard_3-2-1_52JDR_2020-01-15_final
2020-01-28 11:22:45	ga_s2bm_ard_3-2-1_51KZU_2020-01-28_final
2020-02-04 11:14:02	ga_s2bm_ard_3-2-1_51KZP_2020-02-04_final
2020-02-17 11:23:50	ga_s2bm_ard_3-2-1_51KYQ_2020-02-17_final
2020-03-31 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2020-03-31_final
2020-04-06 11:54:05	ga_s2bm_ard_3-2-1_50KNV_2020-04-06_final
2020-05-23 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2020-05-23_final
2020-05-27 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2020-05-27_final
2020-06-28 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2020-06-28_final
2020-08-11 11:44:56	ga_s2bm_ard_3-2-1_50JPS_2020-08-11_final
2020-08-18 11:32:18	ga_s2bm_ard_3-2-1_51KWB_2020-08-18_final
2020-08-31 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2020-08-31_final
2020-09-11 11:14:26	ga_s2bm_ard_3-2-1_52JBT_2020-09-11_final
2020-10-27 11:32:03	ga_s2bm_ard_3-2-1_51LWC_2020-10-27_final
2020-11-25 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2020-11-25_final
2021-01-14 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-01-14_final
2021-01-22 11:24:32	ga_s2bm_ard_3-2-1_51JZM_2021-01-22_final
2021-02-17 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2021-02-17_final
2021-04-08 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2021-04-08_final
2021-04-12 11:25:06	ga_s2bm_ard_3-2-1_51JXK_2021-04-12_final
2021-05-01 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2021-05-01_final
2021-05-18 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2021-05-18_final
2021-05-24 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-05-24_final
2021-05-28 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2021-05-28_final
2021-07-14 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2021-07-14_final
2021-07-30 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2021-07-30_final
2021-12-18 11:22:54	ga_s2bm_ard_3-2-1_51KXU_2021-12-18_final
2022-01-23 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2022-01-23_final
2022-02-05 11:55:47	ga_s2bm_ard_3-2-1_50JKN_2022-02-05_final
2022-03-18 11:24:35	ga_s2bm_ard_3-2-1_51JYM_2022-03-18_final
2022-03-24 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2022-03-24_final
2022-03-31 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2022-03-31_final
2022-04-16 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2022-04-16_final
2022-05-20 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2022-05-20_final
2022-05-21 11:05:22	ga_s2bm_ard_3-2-1_52JCP_2022-05-21_final
2022-06-06 11:24:09	ga_s2bm_ard_3-2-1_51KYP_2022-06-06_final
2022-08-14 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2022-08-14_final.stac-item
2022-09-01 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2022-09-01_final.stac-item
2022-09-19 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2022-09-19_final.stac-item
2022-09-24 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2022-09-24_final.stac-item
2022-10-04 11:24:06	ga_s2bm_ard_3-2-1_51KYP_2022-10-04_final.stac-item
2022-10-04 11:24:17	ga_s2bm_ard_3-2-1_52JBT_2022-10-04_final.stac-item
2022-10-07 11:35:38	ga_s2bm_ard_3-2-1_51JVH_2022-10-07_final.stac-item
2022-11-26 11:34:57	ga_s2bm_ard_3-2-1_51JVL_2022-11-26_final.stac-item
2022-12-16 11:34:41	ga_s2bm_ard_3-2-1_51JVM_2022-12-16_final.stac-item
2023-02-08 11:15:02	ga_s2bm_ard_3-2-1_52JCQ_2023-02-08_final.stac-item
2023-03-06 11:32:28	ga_s2bm_ard_3-2-1_51KXA_2023-03-06_final.stac-item
2023-04-04 12:03:26	ga_s2bm_ard_3-2-1_50KMC_2023-04-04_final.stac-item
2023-04-24 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2023-04-24_final.stac-item
2023-07-14 11:32:34	ga_s2bm_ard_3-2-1_51KWA_2023-07-14_final.stac-item
2023-07-21 11:25:48	ga_s2bm_ard_3-2-1_51JWH_2023-07-21_final.stac-item
2023-08-06 11:42:51	ga_s2bm_ard_3-2-1_51KUV_2023-08-06_final.stac-item
2023-08-06 11:46:28	ga_s2bm_ard_3-2-1_50JNL_2023-08-06_final.stac-item
2023-09-19 11:22:56	ga_s2bm_ard_3-2-1_51KZU_2023-09-19_final.stac-item
2023-09-21 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-09-21_final.stac-item
2023-09-22 11:33:06	ga_s2bm_ard_3-2-1_51KYT_2023-09-22_final.stac-item
2023-10-22 11:33:11	ga_s2bm_ard_3-2-1_51KXT_2023-10-22_final.stac-item
2023-11-04 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2023-11-04_final.stac-item
2023-11-20 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2023-11-20_final.stac-item
2024-02-22 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2024-02-22_final.stac-item
2024-03-03 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2024-03-03_final.stac-item
2024-04-12 11:43:22	ga_s2bm_ard_3-2-1_50KQC_2024-04-12_final.stac-item
2024-04-23 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2024-04-23_final.stac-item
2024-04-28 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2024-04-28_final.stac-item
2024-05-19 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2024-05-19_final.stac-item
2024-05-22 11:43:11	ga_s2bm_ard_3-2-1_50KRD_2024-05-22_final.stac-item
2024-05-22 11:45:21	ga_s2bm_ard_3-2-1_51JTK_2024-05-22_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