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
2018-04-27 11:53:35	ga_s2bm_ard_3-2-1_50KPA_2018-04-27_final
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KNA_2018-05-07_final
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KQB_2018-05-07_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JPQ_2018-05-07_final
2018-06-26 11:47:27	ga_s2bm_ard_3-2-1_50KPF_2018-06-26_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50JQN_2018-09-21_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50KRV_2018-09-21_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JLM_2018-09-24_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JNN_2018-09-24_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KGQ_2018-09-27_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50KLA_2018-09-27_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_50JRS_2018-09-28_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JPQ_2018-10-01_final
2019-02-28 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2019-02-28_final
2019-07-15 11:36:42	ga_s2bm_ard_3-2-1_51HVD_2019-07-15_final
2019-07-31 11:52:42	ga_s2bm_ard_3-2-1_50KQF_2019-07-31_final.stac-item
2019-07-31 11:53:58	ga_s2bm_ard_3-2-1_50KPA_2019-07-31_final
2019-08-03 12:03:41	ga_s2bm_ard_3-2-1_50KNB_2019-08-03_final
2019-09-06 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2019-09-06_final
2019-09-12 12:03:45	ga_s2bm_ard_3-2-1_50KNA_2019-09-12_final
2019-09-15 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2019-09-15_final
2019-09-15 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2019-09-15_final
2019-09-22 12:05:08	ga_s2bm_ard_3-2-1_50JLR_2019-09-22_final
2019-09-22 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2019-09-22_final
2019-09-22 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2019-09-22_final
2019-09-22 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2019-09-22_final
2019-11-12 11:36:33	ga_s2bm_ard_3-2-1_51HVD_2019-11-12_final
2020-01-27 11:52:30	ga_s2bm_ard_3-2-1_50KPF_2020-01-27_final.stac-item
2020-04-02 12:14:28	ga_s2bm_ard_3-2-1_49JHN_2020-04-02_final
2020-05-03 11:45:57	ga_s2bm_ard_3-2-1_50JQM_2020-05-03_final
2020-07-28 12:03:36	ga_s2bm_ard_3-2-1_50KNB_2020-07-28_final
2020-07-28 12:03:54	ga_s2bm_ard_3-2-1_50KMA_2020-07-28_final
2020-07-31 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2020-07-31_final
2020-07-31 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2020-07-31_final
2020-09-03 11:53:59	ga_s2bm_ard_3-2-1_50KMA_2020-09-03_final
2020-09-03 11:54:06	ga_s2bm_ard_3-2-1_50KMA_2020-09-03_final
2020-09-06 12:04:49	ga_s2bm_ard_3-2-1_50JLT_2020-09-06_final
2020-09-06 12:04:49	ga_s2bm_ard_3-2-1_50JLS_2020-09-06_final
2020-09-06 12:04:57	ga_s2bm_ard_3-2-1_50JLS_2020-09-06_final
2020-09-13 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2020-09-13_final
2020-09-16 12:04:49	ga_s2bm_ard_3-2-1_50JKS_2020-09-16_final
2020-09-16 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2020-09-16_final
2020-11-15 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2020-11-15_final
2021-07-20 11:52:39	ga_s2bm_ard_3-2-1_50KPF_2021-07-20_final.stac-item
2021-08-26 11:45:56	ga_s2bm_ard_3-2-1_50JQM_2021-08-26_final
2021-09-08 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2021-09-08_final
2021-09-11 12:04:55	ga_s2bm_ard_3-2-1_50JMR_2021-09-11_final
2021-09-25 11:45:59	ga_s2bm_ard_3-2-1_50JQM_2021-09-25_final
2021-10-05 11:46:01	ga_s2bm_ard_3-2-1_50JQM_2021-10-05_final
2021-10-15 11:46:08	ga_s2bm_ard_3-2-1_50JPM_2021-10-15_final
2021-10-18 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-10-18_final
2021-11-07 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2021-11-07_final
2021-12-10 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2021-12-10_final
2021-12-17 11:55:21	ga_s2bm_ard_3-2-1_50JLQ_2021-12-17_final
2022-01-06 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2022-01-06_final.stac-item
2022-01-13 11:45:57	ga_s2bm_ard_3-2-1_50JQM_2022-01-13_final
2022-02-25 11:56:42	ga_s2bm_ard_3-2-1_50HLJ_2022-02-25_final
2022-02-28 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2022-02-28_final
2022-03-04 11:45:58	ga_s2bm_ard_3-2-1_50JQM_2022-03-04_final
2022-03-14 11:45:59	ga_s2bm_ard_3-2-1_50JQM_2022-03-14_final
2022-05-03 11:45:55	ga_s2bm_ard_3-2-1_50JQM_2022-05-03_final
2022-07-18 12:04:48	ga_s2bm_ard_3-2-1_50JLS_2022-07-18_final
2022-08-04 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2022-08-04_final
2022-10-06 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2022-10-06_final.stac-item
2022-12-05 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2022-12-05_final.stac-item
2022-12-19 11:45:59	ga_s2bm_ard_3-2-1_50JQM_2022-12-19_final.stac-item
2023-01-04 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2023-01-04_final.stac-item
2023-01-04 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2023-01-04_final.stac-item
2023-02-03 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2023-02-03_final.stac-item
2023-02-03 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2023-02-03_final.stac-item
2023-02-13 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2023-02-13_final.stac-item
2023-03-05 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2023-03-05_final.stac-item
2023-05-08 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2023-05-08_final.stac-item
2023-05-11 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2023-05-11_final.stac-item
2023-05-14 12:04:52	ga_s2bm_ard_3-2-1_50JMS_2023-05-14_final.stac-item
2023-06-10 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2023-06-10_final.stac-item
2023-07-13 12:05:27	ga_s2bm_ard_3-2-1_50JLQ_2023-07-13_final.stac-item
2023-08-19 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2023-08-19_final.stac-item
2023-08-19 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2023-08-19_final.stac-item
2023-08-22 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2023-08-22_final.stac-item
2023-10-05 11:46:01	ga_s2bm_ard_3-2-1_50JQM_2023-10-05_final.stac-item
2023-10-15 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2023-10-15_final.stac-item
2023-10-15 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2023-10-15_final.stac-item
2023-10-21 12:04:50	ga_s2bm_ard_3-2-1_50JMS_2023-10-21_final.stac-item
2023-11-14 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2023-11-14_final.stac-item
2023-11-17 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2023-11-17_final.stac-item
2023-11-17 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2023-11-17_final.stac-item
2023-12-27 11:55:17	ga_s2bm_ard_3-2-1_50JPQ_2023-12-27_final.stac-item
2023-12-27 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2023-12-27_final.stac-item
2024-01-03 11:43:27	ga_s2bm_ard_3-2-1_50KQB_2024-01-03_final.stac-item
2024-01-06 11:55:15	ga_s2bm_ard_3-2-1_50JPQ_2024-01-06_final.stac-item
2024-01-06 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2024-01-06_final.stac-item
2024-01-30 11:36:03	ga_s2bm_ard_3-2-1_50JQM_2024-01-30_final.stac-item
2024-02-05 11:55:41	ga_s2bm_ard_3-2-1_50JNP_2024-02-05_final.stac-item
2024-02-12 11:46:05	ga_s2bm_ard_3-2-1_50JQM_2024-02-12_final.stac-item
2024-02-12 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2024-02-12_final.stac-item
2024-02-15 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2024-02-15_final.stac-item
2024-03-19 12:04:58	ga_s2bm_ard_3-2-1_50JMR_2024-03-19_final.stac-item
2024-03-23 11:46:01	ga_s2bm_ard_3-2-1_50JQM_2024-03-23_final.stac-item
2024-04-22 11:46:01	ga_s2bm_ard_3-2-1_50JQM_2024-04-22_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