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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JGN_2017-07-04_final
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JKR_2017-07-04_final
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50HLK_2017-08-20_final
2017-08-20 11:56:30	ga_s2bm_ard_3-2-1_50HLK_2017-08-20_final
2017-09-05 12:14:35	ga_s2bm_ard_3-2-1_49JGL_2017-09-05_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50HLH_2017-11-08_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KGQ_2017-11-14_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_50JKQ_2017-12-31_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49KHQ_2018-01-10_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49KHQ_2018-01-30_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLR_2018-03-31_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HMH_2018-05-04_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JLQ_2018-06-26_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50HMJ_2018-07-06_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JLM_2018-10-27_final
2018-11-16 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2018-11-16_final
2018-11-20 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2018-11-20_final
2018-12-13 11:56:59	ga_s2bm_ard_3-2-1_50HMH_2018-12-13_final
2018-12-20 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2018-12-20_final
2018-12-30 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2018-12-30_final
2018-12-30 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2018-12-30_final
2019-01-12 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2019-01-12_final
2019-01-15 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2019-01-15_final
2019-01-19 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2019-01-19_final
2019-02-08 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2019-02-08_final
2019-02-11 11:54:58	ga_s2bm_ard_3-2-1_50JLS_2019-02-11_final
2019-02-24 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2019-02-24_final
2019-03-20 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2019-03-20_final
2019-03-20 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2019-03-20_final
2019-05-09 11:47:15	ga_s2bm_ard_3-2-1_50HNH_2019-05-09_final
2019-06-17 12:14:16	ga_s2bm_ard_3-2-1_49KHQ_2019-06-17_final
2019-06-17 12:15:18	ga_s2bm_ard_3-2-1_49JGL_2019-06-17_final
2019-06-24 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-06-24_final
2019-06-28 11:46:49	ga_s2bm_ard_3-2-1_50HMK_2019-06-28_final
2019-07-14 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2019-07-14_final
2019-09-02 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-09-02_final.stac-item
2019-10-19 11:54:59	ga_s2bm_ard_3-2-1_50JLS_2019-10-19_final
2019-11-25 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2019-11-25_final.stac-item
2019-12-11 12:05:59	ga_s2bm_ard_3-2-1_50JLM_2019-12-11_final
2019-12-21 12:05:59	ga_s2bm_ard_3-2-1_50JLM_2019-12-21_final
2020-01-20 12:04:12	ga_s2bm_ard_3-2-1_49KGQ_2020-01-20_final
2020-02-06 11:56:05	ga_s2bm_ard_3-2-1_50JLM_2020-02-06_final
2020-03-04 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2020-03-04_final
2020-03-04 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2020-03-04_final
2020-07-05 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2020-07-05_final
2020-07-08 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-07-08_final
2020-09-06 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-09-06_final
2020-09-13 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2020-09-13_final
2020-09-23 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-09-23_final
2020-10-06 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2020-10-06_final
2020-11-25 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2020-11-25_final
2020-12-19 11:46:21	ga_s2bm_ard_3-2-1_50HQK_2020-12-19_final
2020-12-25 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2020-12-25_final
2021-03-05 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2021-03-05_final
2021-03-12 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2021-03-12_final
2021-04-08 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2021-04-08_final
2021-05-01 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2021-05-01_final
2021-07-10 11:55:00	ga_s2bm_ard_3-2-1_50JLS_2021-07-10_final
2021-07-13 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2021-07-13_final
2021-08-02 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2021-08-02_final
2021-08-06 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-08-06_final
2021-08-16 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-08-16_final.stac-item
2021-08-22 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-08-22_final
2021-09-08 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2021-09-08_final
2021-09-15 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2021-09-15_final.stac-item
2021-09-25 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2021-09-25_final.stac-item
2021-10-15 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2021-10-15_final
2021-10-21 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2021-10-21_final
2021-11-20 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2021-11-20_final
2021-12-20 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2021-12-20_final
2021-12-30 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2021-12-30_final
2022-01-06 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2022-01-06_final
2022-01-20 11:36:29	ga_s2bm_ard_3-2-1_50HQK_2022-01-20_final
2022-01-23 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-01-23_final
2022-03-13 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2022-03-13_final
2022-04-16 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2022-04-16_final
2022-08-07 12:05:01	ga_s2bm_ard_3-2-1_50JKS_2022-08-07_final
2022-09-09 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2022-09-09_final.stac-item
2022-11-25 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2022-11-25_final.stac-item
2022-11-29 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2022-11-29_final.stac-item
2022-11-29 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2022-11-29_final.stac-item
2023-01-14 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2023-01-14_final.stac-item
2023-01-25 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2023-01-25_final.stac-item
2023-02-03 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2023-02-03_final.stac-item
2023-03-05 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2023-03-05_final.stac-item
2023-05-08 11:46:32	ga_s2bm_ard_3-2-1_50HQK_2023-05-08_final.stac-item
2023-05-14 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2023-05-14_final.stac-item
2023-05-15 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-05-15_final.stac-item
2023-08-19 11:56:42	ga_s2bm_ard_3-2-1_50HMK_2023-08-19_final.stac-item
2023-08-26 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2023-08-26_final.stac-item
2023-09-08 11:56:15	ga_s2bm_ard_3-2-1_50JLM_2023-09-08_final.stac-item
2023-11-07 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2023-11-07_final.stac-item
2023-11-20 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2023-11-20_final.stac-item
2023-12-17 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2023-12-17_final.stac-item
2024-01-19 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2024-01-19_final.stac-item
2024-01-20 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2024-01-20_final.stac-item
2024-02-08 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2024-02-08_final.stac-item
2024-03-26 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2024-03-26_final.stac-item
2024-04-02 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2024-04-02_final.stac-item
2024-04-05 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2024-04-05_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