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
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KXV_2017-11-22_final
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_51JWK_2017-12-02_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JQS_2017-12-05_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JKN_2017-12-18_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KUP_2018-03-05_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HQG_2018-03-22_final.stac-item
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KXP_2018-04-28_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KRC_2018-06-06_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KYU_2018-07-07_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KXR_2018-07-20_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51KYR_2018-07-27_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KYT_2018-08-19_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51KXQ_2018-09-25_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JUF_2018-10-05_final
2018-11-20 11:43:10	ga_s2bm_ard_3-2-1_51KTT_2018-11-20_final
2018-12-27 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2018-12-27_final
2019-01-06 11:32:30	ga_s2bm_ard_3-2-1_51KVA_2019-01-06_final
2019-02-11 11:52:34	ga_s2bm_ard_3-2-1_50KQF_2019-02-11_final.stac-item
2019-03-10 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2019-03-10_final
2019-03-21 11:15:57	ga_s2bm_ard_3-2-1_51JXG_2019-03-21_final
2019-06-21 11:56:33	ga_s2bm_ard_3-2-1_50JLL_2019-06-21_final
2019-07-05 11:37:09	ga_s2bm_ard_3-2-1_51HTC_2019-07-05_final
2019-07-15 11:33:54	ga_s2bm_ard_3-2-1_51KVR_2019-07-15_final
2019-07-25 11:35:21	ga_s2bm_ard_3-2-1_51JVK_2019-07-25_final
2019-09-23 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2019-09-23_final
2019-09-26 11:42:16	ga_s2bm_ard_3-2-1_51KUB_2019-09-26_final.stac-item
2019-10-26 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2019-10-26_final
2019-11-15 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2019-11-15_final
2019-12-05 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2019-12-05_final
2019-12-09 11:26:56	ga_s2bm_ard_3-2-1_51HUC_2019-12-09_final
2020-01-21 11:33:02	ga_s2bm_ard_3-2-1_51KXT_2020-01-21_final
2020-03-05 11:14:06	ga_s2bm_ard_3-2-1_51KZP_2020-03-05_final
2020-03-28 11:24:12	ga_s2bm_ard_3-2-1_51KWP_2020-03-28_final
2020-03-31 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2020-03-31_final
2020-05-13 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2020-05-13_final
2020-07-29 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2020-07-29_final
2020-08-02 11:16:43	ga_s2bm_ard_3-2-1_51HXD_2020-08-02_final
2020-08-08 11:34:06	ga_s2bm_ard_3-2-1_51KUQ_2020-08-08_final
2020-08-27 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2020-08-27_final
2020-09-04 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2020-09-04_final
2020-09-04 11:24:11	ga_s2bm_ard_3-2-1_51KYP_2020-09-04_final
2020-09-26 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-09-26_final
2020-09-27 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2020-09-27_final
2020-10-24 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2020-10-24_final
2020-12-12 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2020-12-12_final
2020-12-16 11:36:06	ga_s2bm_ard_3-2-1_51JVF_2020-12-16_final
2020-12-20 11:14:37	ga_s2bm_ard_3-2-1_51JYM_2020-12-20_final
2021-03-29 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2021-03-29_final
2021-04-22 11:23:58	ga_s2bm_ard_3-2-1_51KZP_2021-04-22_final
2021-04-25 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2021-04-25_final
2021-05-08 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2021-05-08_final
2021-05-15 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2021-05-15_final
2021-06-24 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2021-06-24_final
2021-06-28 11:14:38	ga_s2bm_ard_3-2-1_51JZM_2021-06-28_final
2021-07-21 11:23:59	ga_s2bm_ard_3-2-1_51KXQ_2021-07-21_final
2021-07-21 11:25:30	ga_s2bm_ard_3-2-1_51JWJ_2021-07-21_final
2021-07-24 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2021-07-24_final
2021-10-01 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2021-10-01_final
2021-10-25 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2021-10-25_final
2021-11-08 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2021-11-08_final
2021-11-18 11:26:16	ga_s2bm_ard_3-2-1_51JUF_2021-11-18_final
2021-11-24 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2021-11-24_final
2021-12-01 11:33:43	ga_s2bm_ard_3-2-1_51KUR_2021-12-01_final
2022-01-03 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2022-01-03_final
2022-01-23 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2022-01-23_final
2022-01-27 11:22:50	ga_s2bm_ard_3-2-1_51KYU_2022-01-27_final
2022-01-30 11:33:16	ga_s2bm_ard_3-2-1_51KUT_2022-01-30_final
2022-02-02 11:42:07	ga_s2bm_ard_3-2-1_51KVB_2022-02-02_final
2022-02-02 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2022-02-02_final
2022-03-14 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2022-03-14_final
2022-03-18 11:22:21	ga_s2bm_ard_3-2-1_51KZA_2022-03-18_final
2022-04-03 11:45:40	ga_s2bm_ard_3-2-1_51JTH_2022-04-03_final
2022-05-03 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2022-05-03_final
2022-05-23 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2022-05-23_final
2022-07-19 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2022-07-19_final.stac-item
2022-08-01 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2022-08-01_final
2022-10-16 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2022-10-16_final.stac-item
2022-10-30 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2022-10-30_final.stac-item
2022-11-09 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2022-11-09_final.stac-item
2022-11-26 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2022-11-26_final.stac-item
2023-02-24 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2023-02-24_final.stac-item
2023-03-05 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-03-05_final.stac-item
2023-03-26 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2023-03-26_final.stac-item
2023-03-30 11:14:12	ga_s2bm_ard_3-2-1_51KZP_2023-03-30_final.stac-item
2023-04-18 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2023-04-18_final.stac-item
2023-04-22 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2023-04-22_final.stac-item
2023-05-11 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2023-05-11_final.stac-item
2023-06-04 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2023-06-04_final.stac-item
2023-06-11 11:24:09	ga_s2bm_ard_3-2-1_51KZP_2023-06-11_final.stac-item
2023-06-14 11:33:39	ga_s2bm_ard_3-2-1_51KUS_2023-06-14_final.stac-item
2023-07-07 11:46:21	ga_s2bm_ard_3-2-1_50JQL_2023-07-07_final.stac-item
2023-08-16 11:43:35	ga_s2bm_ard_3-2-1_51KUS_2023-08-16_final.stac-item
2023-08-20 11:27:12	ga_s2bm_ard_3-2-1_51HTC_2023-08-20_final.stac-item
2023-09-02 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2023-09-02_final.stac-item
2023-10-22 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2023-10-22_final.stac-item
2023-10-25 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2023-10-25_final.stac-item
2024-01-27 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2024-01-27_final.stac-item
2024-02-09 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2024-02-09_final.stac-item
2024-03-13 11:43:29	ga_s2bm_ard_3-2-1_51KTS_2024-03-13_final.stac-item
2024-04-26 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2024-04-26_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