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
2017-08-07 11:38:33	ga_s2bm_ard_3-2-1_51KVV_2017-08-07_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KWR_2017-09-03_final
2017-09-03 11:36:30	ga_s2bm_ard_3-2-1_50HQG_2017-09-03_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KXU_2017-11-22_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KUU_2017-12-05_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KVU_2017-12-05_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KWR_2018-01-01_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KYP_2018-01-28_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KWA_2018-02-20_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JVM_2018-04-11_final
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KXT_2018-06-20_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KXS_2018-06-27_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_50HQG_2018-09-28_final.stac-item
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KVR_2018-10-08_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXQ_2018-10-28_final
2018-11-07 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2018-11-07_final
2018-11-07 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2018-11-07_final
2018-11-17 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2018-11-17_final
2018-12-04 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2018-12-04_final
2018-12-10 11:44:04	ga_s2bm_ard_3-2-1_51KUP_2018-12-10_final
2019-01-06 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2019-01-06_final
2019-01-06 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2019-01-06_final
2019-01-06 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2019-01-06_final
2019-01-13 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2019-01-13_final
2019-01-16 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2019-01-16_final
2019-01-19 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2019-01-19_final
2019-03-17 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2019-03-17_final
2019-05-09 11:43:37	ga_s2bm_ard_3-2-1_51KUS_2019-05-09_final
2019-05-16 11:33:07	ga_s2bm_ard_3-2-1_51KWU_2019-05-16_final
2019-05-26 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-05-26_final
2019-06-05 11:34:00	ga_s2bm_ard_3-2-1_51KXQ_2019-06-05_final
2019-06-25 11:34:01	ga_s2bm_ard_3-2-1_51KXQ_2019-06-25_final
2019-07-11 11:54:22	ga_s2bm_ard_3-2-1_50KQU_2019-07-11_final
2019-08-21 11:23:33	ga_s2bm_ard_3-2-1_51KXS_2019-08-21_final
2019-09-23 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2019-09-23_final
2019-10-03 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2019-10-03_final
2019-10-23 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2019-10-23_final
2019-11-02 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2019-11-02_final
2019-11-05 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2019-11-05_final
2019-12-09 11:23:19	ga_s2bm_ard_3-2-1_51KYS_2019-12-09_final
2019-12-19 11:23:34	ga_s2bm_ard_3-2-1_51KYR_2019-12-19_final
2020-01-01 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2020-01-01_final
2020-01-18 11:24:09	ga_s2bm_ard_3-2-1_51KWP_2020-01-18_final
2020-01-21 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2020-01-21_final
2020-03-11 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2020-03-11_final
2020-03-21 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2020-03-21_final
2020-03-24 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2020-03-24_final
2020-04-30 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2020-04-30_final
2020-04-30 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2020-04-30_final
2020-07-19 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2020-07-19_final
2020-07-25 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2020-07-25_final
2020-08-28 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2020-08-28_final
2020-08-28 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2020-08-28_final
2020-08-31 11:43:28	ga_s2bm_ard_3-2-1_51KVS_2020-08-31_final
2020-10-04 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2020-10-04_final
2020-10-24 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2020-10-24_final
2020-10-24 11:26:58	ga_s2bm_ard_3-2-1_51HWC_2020-10-24_final.stac-item
2020-10-30 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2020-10-30_final
2020-11-06 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2020-11-06_final
2020-11-09 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2020-11-09_final
2020-11-09 11:44:29	ga_s2bm_ard_3-2-1_51JUN_2020-11-09_final
2020-11-26 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2020-11-26_final
2020-11-29 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2020-11-29_final
2020-11-29 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2020-11-29_final
2020-12-06 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2020-12-06_final.stac-item
2021-01-02 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2021-01-02_final
2021-01-08 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2021-01-08_final
2021-02-04 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2021-02-04_final
2021-02-27 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2021-02-27_final
2021-04-12 11:23:15	ga_s2bm_ard_3-2-1_51KYS_2021-04-12_final
2021-04-15 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2021-04-15_final
2021-05-02 11:23:24	ga_s2bm_ard_3-2-1_51KXS_2021-05-02_final
2021-05-08 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2021-05-08_final
2021-05-21 11:53:03	ga_s2bm_ard_3-2-1_50KQD_2021-05-21_final.stac-item
2021-06-24 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2021-06-24_final
2021-07-04 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2021-07-04_final
2021-08-03 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2021-08-03_final
2021-10-02 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-10-02_final
2021-12-04 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2021-12-04_final
2021-12-11 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2021-12-11_final
2022-01-03 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2022-01-03_final
2022-01-13 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2022-01-13_final
2022-06-09 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2022-06-09_final
2022-07-05 11:53:08	ga_s2bm_ard_3-2-1_50KQD_2022-07-05_final.stac-item
2022-07-19 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2022-07-19_final
2022-08-05 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2022-08-05_final
2022-08-18 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2022-08-18_final
2022-08-25 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2022-08-25_final
2022-09-10 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2022-09-10_final.stac-item
2022-09-19 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2022-09-19_final.stac-item
2022-09-27 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2022-09-27_final.stac-item
2022-10-14 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2022-10-14_final.stac-item
2022-11-06 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2022-11-06_final.stac-item
2022-12-05 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2022-12-05_final.stac-item
2023-01-15 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2023-01-15_final.stac-item
2023-10-22 11:33:32	ga_s2bm_ard_3-2-1_51KVS_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
2023-11-14 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2023-11-14_final.stac-item
2023-12-21 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2023-12-21_final.stac-item
2023-12-21 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2023-12-21_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