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
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51JUF_2017-09-30_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51JWL_2017-11-12_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49JGM_2017-11-14_final
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_52KBA_2018-01-18_final
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53KQU_2018-01-26_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KWA_2018-03-02_final
2018-05-09 10:47:23	ga_s2bm_ard_3-2-1_53KMA_2018-05-09_final
2018-06-01 11:03:31	ga_s2bm_ard_3-2-1_52JCL_2018-06-01_final
2018-06-09 10:17:03	ga_s2bm_ard_3-2-1_54HTK_2018-06-09_final
2018-06-21 11:03:15	ga_s2bm_ard_3-2-1_52KEB_2018-06-21_final
2018-06-25 10:42:47	ga_s2bm_ard_3-2-1_53HLE_2018-06-25_final
2018-07-01 10:57:40	ga_s2bm_ard_3-2-1_52KGC_2018-07-01_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51JYH_2018-07-27_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50HMH_2018-10-24_final
2018-11-17 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2018-11-17_final
2018-11-19 10:33:50	ga_s2bm_ard_3-2-1_53KPP_2018-11-19_final
2018-11-20 10:07:12	ga_s2bm_ard_3-2-1_54HVE_2018-11-20_final
2018-11-20 11:43:10	ga_s2bm_ard_3-2-1_51KTT_2018-11-20_final
2018-11-21 11:13:51	ga_s2bm_ard_3-2-1_52KBV_2018-11-21_final
2018-12-09 10:33:29	ga_s2bm_ard_3-2-1_53KQQ_2018-12-09_final
2019-01-09 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2019-01-09_final
2019-02-09 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2019-02-09_final
2019-02-18 10:07:36	ga_s2bm_ard_3-2-1_54HXC_2019-02-18_final
2019-02-18 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2019-02-18_final
2019-04-06 11:32:36	ga_s2bm_ard_3-2-1_51KVA_2019-04-06_final
2019-05-15 10:23:59	ga_s2bm_ard_3-2-1_53KRP_2019-05-15_final
2019-06-09 11:15:37	ga_s2bm_ard_3-2-1_51JXJ_2019-06-09_final
2019-06-21 11:53:32	ga_s2bm_ard_3-2-1_50KNC_2019-06-21_final
2019-08-11 11:24:09	ga_s2bm_ard_3-2-1_51KWQ_2019-08-11_final
2019-09-15 12:13:40	ga_s2bm_ard_3-2-1_50KKB_2019-09-15_final
2019-09-22 10:26:12	ga_s2bm_ard_3-2-1_54HUJ_2019-09-22_final
2019-10-23 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2019-10-23_final
2019-12-06 11:13:09	ga_s2bm_ard_3-2-1_52KEB_2019-12-06_final
2019-12-12 09:58:00	ga_s2bm_ard_3-2-1_54GYA_2019-12-12_final
2020-01-01 11:32:46	ga_s2bm_ard_3-2-1_51KYU_2020-01-01_final
2020-01-07 11:56:13	ga_s2bm_ard_3-2-1_50JNL_2020-01-07_final
2020-01-23 12:15:13	ga_s2bm_ard_3-2-1_49JGK_2020-01-23_final
2020-01-31 09:57:58	ga_s2bm_ard_3-2-1_54GYA_2020-01-31_final
2020-04-18 10:54:11	ga_s2bm_ard_3-2-1_52JGT_2020-04-18_final
2020-05-21 11:05:45	ga_s2bm_ard_3-2-1_52JEM_2020-05-21_final
2020-06-02 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-06-02_final
2020-07-01 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2020-07-01_final
2020-07-27 10:55:15	ga_s2bm_ard_3-2-1_52JGP_2020-07-27_final
2020-08-05 11:23:10	ga_s2bm_ard_3-2-1_51KZT_2020-08-05_final
2020-08-10 10:35:04	ga_s2bm_ard_3-2-1_53JQJ_2020-08-10_final
2020-08-28 11:33:42	ga_s2bm_ard_3-2-1_51KXR_2020-08-28_final
2020-09-24 11:21:34	ga_s2bm_ard_3-2-1_52LDJ_2020-09-24_final
2020-10-10 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2020-10-10_final
2020-10-23 10:15:58	ga_s2bm_ard_3-2-1_54HWK_2020-10-23_final
2020-10-27 09:57:44	ga_s2bm_ard_3-2-1_54HXC_2020-10-27_final
2020-11-07 11:02:27	ga_s2bm_ard_3-2-1_53KKV_2020-11-07_final
2020-11-30 11:13:39	ga_s2bm_ard_3-2-1_52KBA_2020-11-30_final
2021-01-02 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2021-01-02_final
2021-01-18 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2021-01-18_final
2021-02-04 11:31:48	ga_s2bm_ard_3-2-1_51LZC_2021-02-04_final
2021-04-26 11:03:15	ga_s2bm_ard_3-2-1_52KEB_2021-04-26_final
2021-05-03 10:55:28	ga_s2bm_ard_3-2-1_52JFN_2021-05-03_final
2021-05-04 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2021-05-04_final
2021-06-01 11:26:08	ga_s2bm_ard_3-2-1_51JXF_2021-06-01_final
2021-06-16 10:34:48	ga_s2bm_ard_3-2-1_53JQK_2021-06-16_final
2021-06-24 09:58:06	ga_s2bm_ard_3-2-1_54GYA_2021-06-24_final
2021-07-17 11:46:28	ga_s2bm_ard_3-2-1_50JML_2021-07-17_final
2021-09-09 11:26:40	ga_s2bm_ard_3-2-1_51HVD_2021-09-09_final
2021-09-15 10:07:22	ga_s2bm_ard_3-2-1_54HWD_2021-09-15_final
2021-09-19 11:23:46	ga_s2bm_ard_3-2-1_52KBV_2021-09-19_final
2021-09-29 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2021-09-29_final
2021-10-17 10:43:49	ga_s2bm_ard_3-2-1_53KPP_2021-10-17_final
2021-10-24 10:34:38	ga_s2bm_ard_3-2-1_53JPL_2021-10-24_final
2021-11-03 10:36:29	ga_s2bm_ard_3-2-1_53HLD_2021-11-03_final
2022-01-02 10:36:42	ga_s2bm_ard_3-2-1_53HPB_2022-01-02_final
2022-01-12 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2022-01-12_final
2022-02-09 11:36:37	ga_s2bm_ard_3-2-1_51HUD_2022-02-09_final
2022-02-16 11:23:21	ga_s2bm_ard_3-2-1_52KCA_2022-02-16_final
2022-04-14 11:10:40	ga_s2bm_ard_3-2-1_52LGM_2022-04-14_final
2022-04-23 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2022-04-23_final
2022-05-16 10:17:25	ga_s2bm_ard_3-2-1_54HVD_2022-05-16_final
2022-06-01 10:35:55	ga_s2bm_ard_3-2-1_53JMF_2022-06-01_final
2022-06-29 09:57:50	ga_s2bm_ard_3-2-1_54HWC_2022-06-29_final
2022-07-20 11:02:59	ga_s2bm_ard_3-2-1_53KKT_2022-07-20_final
2022-09-04 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2022-09-04_final.stac-item
2022-09-10 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2022-09-10_final.stac-item
2022-09-17 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2022-09-17_final.stac-item
2022-11-08 10:33:35	ga_s2bm_ard_3-2-1_53KQQ_2022-11-08_final.stac-item
2022-11-26 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2022-11-26_final.stac-item
2022-12-17 11:06:22	ga_s2bm_ard_3-2-1_52HBK_2022-12-17_final.stac-item
2023-01-18 10:07:38	ga_s2bm_ard_3-2-1_54HWC_2023-01-18_final.stac-item
2023-02-09 10:42:45	ga_s2bm_ard_3-2-1_53KQT_2023-02-09_final.stac-item
2023-03-27 11:06:40	ga_s2bm_ard_3-2-1_51HYD_2023-03-27_final.stac-item
2023-06-27 11:44:06	ga_s2bm_ard_3-2-1_51KTQ_2023-06-27_final.stac-item
2023-07-26 10:32:28	ga_s2bm_ard_3-2-1_53KQV_2023-07-26_final.stac-item
2023-07-26 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2023-07-26_final.stac-item
2023-08-05 10:36:08	ga_s2bm_ard_3-2-1_53HPE_2023-08-05_final.stac-item
2023-08-08 10:43:50	ga_s2bm_ard_3-2-1_53KLQ_2023-08-08_final.stac-item
2023-09-26 11:11:22	ga_s2bm_ard_3-2-1_52LEK_2023-09-26_final.stac-item
2023-10-05 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2023-10-05_final.stac-item
2023-11-21 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2023-11-21_final.stac-item
2024-01-11 11:01:00	ga_s2bm_ard_3-2-1_52LGL_2024-01-11_final.stac-item
2024-02-06 11:26:21	ga_s2bm_ard_3-2-1_51HXE_2024-02-06_final.stac-item
2024-04-17 10:55:47	ga_s2bm_ard_3-2-1_52JFM_2024-04-17_final.stac-item
2024-04-19 11:31:06	ga_s2bm_ard_3-2-1_52LBL_2024-04-19_nrt.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