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
2017-07-05 11:27:30	ga_s2bm_ard_3-2-1_51KXT_2017-07-05_final
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KYT_2017-07-05_final
2017-08-18 11:10:34	ga_s2bm_ard_3-2-1_52LFM_2017-08-18_final.stac-item
2017-12-31 10:16:56	ga_s2bm_ard_3-2-1_53HQB_2017-12-31_final
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_53HQB_2018-03-21_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KXQ_2018-05-28_final
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_53HQB_2018-08-18_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KUT_2018-08-19_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HNH_2018-10-21_final
2018-11-27 11:32:36	ga_s2bm_ard_3-2-1_51KXV_2018-11-27_final
2018-12-01 11:11:00	ga_s2bm_ard_3-2-1_52LEL_2018-12-01_final.stac-item
2018-12-27 11:32:11	ga_s2bm_ard_3-2-1_51KWB_2018-12-27_final
2019-01-23 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2019-01-23_final
2019-02-15 11:33:36	ga_s2bm_ard_3-2-1_51KVS_2019-02-15_final
2019-05-15 10:26:55	ga_s2bm_ard_3-2-1_53HQB_2019-05-15_final
2019-05-29 11:41:06	ga_s2bm_ard_3-2-1_51LWG_2019-05-29_final.stac-item
2019-06-18 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-06-18_final.stac-item
2019-06-22 11:24:37	ga_s2bm_ard_3-2-1_51JWN_2019-06-22_final
2019-07-01 11:56:19	ga_s2bm_ard_3-2-1_50JLM_2019-07-01_final
2019-07-12 11:23:15	ga_s2bm_ard_3-2-1_51KZT_2019-07-12_final
2019-08-18 11:10:31	ga_s2bm_ard_3-2-1_52LHN_2019-08-18_final
2019-09-23 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2019-09-23_final
2019-09-30 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2019-09-30_final
2019-11-05 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2019-11-05_final
2019-11-21 10:26:48	ga_s2bm_ard_3-2-1_53HPB_2019-11-21_final
2020-01-08 11:23:11	ga_s2bm_ard_3-2-1_52KCB_2020-01-08_final
2020-01-25 11:10:25	ga_s2bm_ard_3-2-1_52LFN_2020-01-25_final.stac-item
2020-01-31 11:33:26	ga_s2bm_ard_3-2-1_51KUS_2020-01-31_final
2020-03-21 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2020-03-21_final
2020-03-30 10:26:44	ga_s2bm_ard_3-2-1_53HQB_2020-03-30_final
2020-04-23 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2020-04-23_final
2020-04-24 11:13:48	ga_s2bm_ard_3-2-1_51KZQ_2020-04-24_final
2020-04-27 11:23:31	ga_s2bm_ard_3-2-1_51KZR_2020-04-27_final
2020-05-30 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2020-05-30_final
2020-06-21 10:35:59	ga_s2bm_ard_3-2-1_53HQE_2020-06-21_final
2020-07-06 11:23:18	ga_s2bm_ard_3-2-1_52KCB_2020-07-06_final
2020-07-19 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2020-07-19_final
2020-07-29 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2020-07-29_final.stac-item
2020-09-14 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2020-09-14_final
2020-10-07 11:33:27	ga_s2bm_ard_3-2-1_51KXS_2020-10-07_final
2020-10-20 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2020-10-20_final
2020-10-30 11:43:35	ga_s2bm_ard_3-2-1_51KTS_2020-10-30_final
2020-12-13 11:23:10	ga_s2bm_ard_3-2-1_51KXT_2020-12-13_final
2021-01-06 11:01:16	ga_s2bm_ard_3-2-1_52LGK_2021-01-06_final
2021-04-02 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2021-04-02_final
2021-04-02 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2021-04-02_final
2021-04-28 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2021-04-28_final
2021-05-19 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2021-05-19_final
2021-06-11 11:23:24	ga_s2bm_ard_3-2-1_52KBB_2021-06-11_final
2021-06-21 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2021-06-21_final
2021-08-13 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2021-08-13_final
2021-08-17 11:13:40	ga_s2bm_ard_3-2-1_51KZR_2021-08-17_final
2021-08-22 10:26:46	ga_s2bm_ard_3-2-1_53HQB_2021-08-22_final
2021-08-30 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2021-08-30_final
2021-09-22 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2021-09-22_final
2021-11-06 10:46:21	ga_s2bm_ard_3-2-1_53HMD_2021-11-06_final
2021-11-14 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-11-14_final
2021-11-24 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2021-11-24_final
2021-12-08 11:25:37	ga_s2bm_ard_3-2-1_51JWH_2021-12-08_final
2021-12-11 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2021-12-11_final
2021-12-29 10:55:44	ga_s2bm_ard_3-2-1_53JKF_2021-12-29_final
2022-01-13 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2022-01-13_final.stac-item
2022-02-22 11:41:28	ga_s2bm_ard_3-2-1_51LUE_2022-02-22_final
2022-04-03 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2022-04-03_final
2022-04-10 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2022-04-10_final
2022-04-17 11:23:16	ga_s2bm_ard_3-2-1_52KBB_2022-04-17_final
2022-05-27 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2022-05-27_final
2022-06-15 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2022-06-15_final
2022-07-03 11:13:59	ga_s2bm_ard_3-2-1_51KZQ_2022-07-03_final
2022-07-22 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2022-07-22_final
2022-07-29 11:33:32	ga_s2bm_ard_3-2-1_51KWS_2022-07-29_final
2022-08-27 10:26:51	ga_s2bm_ard_3-2-1_53HPB_2022-08-27_final
2022-09-21 11:10:44	ga_s2bm_ard_3-2-1_52LGM_2022-09-21_final.stac-item
2022-10-27 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2022-10-27_final.stac-item
2022-11-27 11:02:54	ga_s2bm_ard_3-2-1_52KHC_2022-11-27_final.stac-item
2022-11-29 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2022-11-29_final.stac-item
2022-12-10 11:13:51	ga_s2bm_ard_3-2-1_51KZQ_2022-12-10_final.stac-item
2022-12-16 11:32:51	ga_s2bm_ard_3-2-1_51KVU_2022-12-16_final.stac-item
2022-12-20 11:13:32	ga_s2bm_ard_3-2-1_52KDA_2022-12-20_final.stac-item
2023-01-15 11:32:36	ga_s2bm_ard_3-2-1_51KXV_2023-01-15_final.stac-item
2023-02-14 11:32:06	ga_s2bm_ard_3-2-1_51KYB_2023-02-14_final.stac-item
2023-05-27 10:36:11	ga_s2bm_ard_3-2-1_53HNE_2023-05-27_final.stac-item
2023-08-30 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2023-08-30_final.stac-item
2023-10-22 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2023-10-22_final.stac-item
2023-10-22 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2023-10-22_final.stac-item
2023-11-04 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2023-11-04_final.stac-item
2023-11-11 11:32:42	ga_s2bm_ard_3-2-1_51KXV_2023-11-11_final.stac-item
2023-12-15 11:13:21	ga_s2bm_ard_3-2-1_52KEB_2023-12-15_final.stac-item
2023-12-21 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2023-12-21_final.stac-item
2024-01-27 11:24:42	ga_s2bm_ard_3-2-1_52JBR_2024-01-27_final.stac-item
2024-02-03 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2024-02-03_final.stac-item
2024-02-09 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2024-02-09_final.stac-item
2024-02-23 11:11:05	ga_s2bm_ard_3-2-1_52LEL_2024-02-23_final.stac-item
2024-03-04 11:13:11	ga_s2bm_ard_3-2-1_52KEB_2024-03-04_final.stac-item
2024-03-30 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2024-03-30_final.stac-item
2024-04-06 11:23:48	ga_s2bm_ard_3-2-1_51KZQ_2024-04-06_final.stac-item
2024-04-11 10:36:50	ga_s2bm_ard_3-2-1_53HNB_2024-04-11_final.stac-item
2024-04-22 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2024-04-22_final.stac-item
2024-04-23 11:13:13	ga_s2bm_ard_3-2-1_52KBC_2024-04-23_final.stac-item
2024-05-02 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2024-05-02_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