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
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JKQ_2017-09-22_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JGM_2017-11-01_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50JLM_2017-12-01_final
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49JGL_2017-12-24_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KGP_2018-01-23_final
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50JPL_2018-02-23_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JGM_2018-03-04_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KGP_2018-04-10_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JNR_2018-04-27_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2018-06-09_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HMJ_2018-06-23_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50JPM_2018-06-23_final
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-07-02_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JLR_2018-07-16_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JNL_2018-08-15_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50JKN_2018-08-18_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JGL_2018-10-20_final
2018-11-26 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2018-11-26_final
2018-12-13 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2018-12-13_final
2018-12-19 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2018-12-19_final
2019-01-19 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-01-19_final.stac-item
2019-01-28 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2019-01-28_final
2019-05-05 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-05-05_final
2019-05-09 11:46:31	ga_s2bm_ard_3-2-1_50JNL_2019-05-09_final
2019-06-11 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-06-11_final.stac-item
2019-07-14 12:06:00	ga_s2bm_ard_3-2-1_50JLN_2019-07-14_final
2019-08-03 12:05:08	ga_s2bm_ard_3-2-1_49JGM_2019-08-03_final
2019-08-20 11:56:57	ga_s2bm_ard_3-2-1_50HMJ_2019-08-20_final
2019-08-24 11:36:31	ga_s2bm_ard_3-2-1_50JPL_2019-08-24_final
2019-10-05 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2019-10-05_final
2019-11-04 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-11-04_final
2019-11-04 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-11-04_final
2019-11-25 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2019-11-25_final
2019-12-14 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2019-12-14_final
2019-12-28 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2019-12-28_final
2020-01-24 11:46:59	ga_s2bm_ard_3-2-1_50HNH_2020-01-24_final
2020-02-12 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2020-02-12_final
2020-02-19 12:04:53	ga_s2bm_ard_3-2-1_50JKS_2020-02-19_final
2020-03-23 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-23_final
2020-04-19 12:04:38	ga_s2bm_ard_3-2-1_50JKT_2020-04-19_final
2020-04-20 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2020-04-20_final
2020-05-06 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2020-05-06_final
2020-06-25 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2020-06-25_final
2020-07-22 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-07-22_final
2020-09-06 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-09-06_final
2020-10-03 11:54:55	ga_s2bm_ard_3-2-1_50JNS_2020-10-03_final
2020-10-07 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2020-10-07_final
2020-10-09 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2020-10-09_final
2020-10-23 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2020-10-23_final
2020-12-25 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-12-25_final
2021-01-15 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-01-15_final
2021-02-16 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2021-02-16_final
2021-03-05 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2021-03-05_final
2021-04-04 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2021-04-04_final
2021-05-17 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2021-05-17_final
2021-08-02 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2021-08-02_final
2021-08-03 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-08-03_final
2021-08-03 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2021-08-03_final.stac-item
2021-08-06 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2021-08-06_final
2021-08-25 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2021-08-25_final
2021-08-29 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2021-08-29_final
2021-09-05 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2021-09-05_final
2021-09-14 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2021-09-14_final
2021-09-24 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2021-09-24_final
2021-09-24 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2021-09-24_final
2021-10-01 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-10-01_final
2021-10-28 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2021-10-28_final
2021-11-14 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2021-11-14_final
2021-11-30 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2021-11-30_final
2021-12-23 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2021-12-23_final
2022-02-28 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2022-02-28_final
2022-03-24 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2022-03-24_final.stac-item
2022-04-12 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2022-04-12_final
2022-05-20 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2022-05-20_final.stac-item
2022-06-22 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2022-06-22_final
2022-06-28 12:05:56	ga_s2bm_ard_3-2-1_50JLN_2022-06-28_final
2022-07-02 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2022-07-02_final
2022-07-09 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2022-07-09_final
2022-07-15 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2022-07-15_final
2022-08-27 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2022-08-27_final
2022-09-20 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2022-09-20_final.stac-item
2022-09-30 11:45:39	ga_s2bm_ard_3-2-1_50JNP_2022-09-30_final.stac-item
2022-09-30 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2022-09-30_final.stac-item
2022-10-30 11:45:38	ga_s2bm_ard_3-2-1_50JNP_2022-10-30_final.stac-item
2023-01-11 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2023-01-11_final.stac-item
2023-04-07 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2023-04-07_final.stac-item
2023-07-16 12:14:00	ga_s2bm_ard_3-2-1_49KHR_2023-07-16_final.stac-item
2023-07-20 11:55:52	ga_s2bm_ard_3-2-1_50JKP_2023-07-20_final.stac-item
2023-08-23 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-08-23_final.stac-item
2023-09-18 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2023-09-18_final.stac-item
2023-11-13 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2023-11-13_final.stac-item
2023-11-17 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2023-11-17_final.stac-item
2023-12-14 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2023-12-14_final.stac-item
2024-02-05 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2024-02-05_final.stac-item
2024-02-08 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2024-02-08_final.stac-item
2024-02-22 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-02-22_final.stac-item
2024-03-26 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2024-03-26_final.stac-item
2024-03-29 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2024-03-29_final.stac-item
2024-04-12 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2024-04-12_final.stac-item
2024-04-25 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2024-04-25_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