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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JKS_2017-07-24_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50JNN_2017-10-26_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HQK_2017-11-05_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JMP_2017-11-08_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_50JKR_2017-12-31_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HMK_2018-01-04_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JKS_2018-01-10_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JNP_2018-01-17_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JNN_2018-01-27_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMK_2018-03-05_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KGQ_2018-03-11_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KHQ_2018-03-24_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JLQ_2018-05-30_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50JKS_2018-06-09_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JKQ_2018-06-29_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50JLQ_2018-07-06_final
2018-07-10 11:37:12	ga_s2bm_ard_3-2-1_50HPG_2018-07-10_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HMJ_2018-08-12_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JLQ_2018-08-15_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KHQ_2018-10-07_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KHP_2018-10-30_final
2018-11-19 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2018-11-19_final
2018-12-26 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2018-12-26_final
2019-01-15 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2019-01-15_final.stac-item
2019-03-16 12:04:34	ga_s2bm_ard_3-2-1_50JMT_2019-03-16_final
2019-03-19 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2019-03-19_final
2019-04-09 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2019-04-09_final
2019-04-25 12:04:49	ga_s2bm_ard_3-2-1_50JKT_2019-04-25_final
2019-06-04 12:05:34	ga_s2bm_ard_3-2-1_50JKQ_2019-06-04_final
2019-06-14 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2019-06-14_final
2019-08-27 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2019-08-27_final
2019-10-19 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2019-10-19_final
2019-10-22 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2019-10-22_final
2020-01-03 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2020-01-03_final
2020-01-07 11:55:44	ga_s2bm_ard_3-2-1_50JNN_2020-01-07_final
2020-03-30 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2020-03-30_final
2020-06-11 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-06-11_final
2020-06-25 11:55:52	ga_s2bm_ard_3-2-1_50JNN_2020-06-25_final
2020-07-12 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-07-12_final
2020-07-22 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-07-22_final
2020-08-11 11:46:57	ga_s2bm_ard_3-2-1_50HQH_2020-08-11_final
2020-08-27 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2020-08-27_final
2020-09-19 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2020-09-19_final
2020-09-30 11:45:57	ga_s2bm_ard_3-2-1_50JNN_2020-09-30_final
2020-10-03 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2020-10-03_final
2020-10-16 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2020-10-16_final
2020-11-19 11:45:40	ga_s2bm_ard_3-2-1_50JNP_2020-11-19_final
2021-01-01 11:54:56	ga_s2bm_ard_3-2-1_50JLS_2021-01-01_final
2021-01-11 11:55:49	ga_s2bm_ard_3-2-1_50JNN_2021-01-11_final
2021-01-21 11:55:20	ga_s2bm_ard_3-2-1_50JNQ_2021-01-21_final
2021-01-28 11:45:54	ga_s2bm_ard_3-2-1_50JNN_2021-01-28_final
2021-03-29 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2021-03-29_final
2021-05-14 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2021-05-14_final
2021-09-21 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2021-09-21_final
2021-10-11 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2021-10-11_final
2021-10-18 11:55:51	ga_s2bm_ard_3-2-1_50JNN_2021-10-18_final
2021-12-04 11:45:20	ga_s2bm_ard_3-2-1_50JNQ_2021-12-04_final
2022-01-03 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2022-01-03_final.stac-item
2022-02-18 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2022-02-18_final
2022-02-22 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-02-22_final
2022-03-13 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2022-03-13_final
2022-03-14 11:45:52	ga_s2bm_ard_3-2-1_50JNN_2022-03-14_final
2022-05-19 12:05:08	ga_s2bm_ard_3-2-1_50JLR_2022-05-19_final
2022-06-28 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2022-06-28_final
2022-07-01 12:14:14	ga_s2bm_ard_3-2-1_49KHQ_2022-07-01_final
2022-07-05 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2022-07-05_final
2022-07-11 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2022-07-11_final
2022-08-10 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2022-08-10_final.stac-item
2022-08-14 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2022-08-14_final
2022-09-16 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2022-09-16_final.stac-item
2022-11-25 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2022-11-25_final.stac-item
2022-12-02 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2022-12-02_final.stac-item
2022-12-15 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2022-12-15_final.stac-item
2022-12-18 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-12-18_final.stac-item
2023-01-11 11:55:45	ga_s2bm_ard_3-2-1_50JNN_2023-01-11_final.stac-item
2023-01-31 11:54:52	ga_s2bm_ard_3-2-1_50JMS_2023-01-31_final.stac-item
2023-01-31 11:55:07	ga_s2bm_ard_3-2-1_50JMR_2023-01-31_final.stac-item
2023-02-04 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2023-02-04_final.stac-item
2023-03-05 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2023-03-05_final.stac-item
2023-04-07 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2023-04-07_final.stac-item
2023-04-11 11:55:11	ga_s2bm_ard_3-2-1_50JMR_2023-04-11_final.stac-item
2023-04-24 12:04:35	ga_s2bm_ard_3-2-1_49JHN_2023-04-24_final.stac-item
2023-05-14 12:04:37	ga_s2bm_ard_3-2-1_50JKT_2023-05-14_final.stac-item
2023-05-15 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2023-05-15_final.stac-item
2023-05-18 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2023-05-18_final.stac-item
2023-06-20 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2023-06-20_final.stac-item
2023-07-23 12:05:03	ga_s2bm_ard_3-2-1_49JHM_2023-07-23_final.stac-item
2023-09-01 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-09-01_final.stac-item
2023-10-18 11:55:52	ga_s2bm_ard_3-2-1_50JNN_2023-10-18_final.stac-item
2023-10-21 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2023-10-21_final.stac-item
2023-12-13 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2023-12-13_final.stac-item
2024-01-10 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2024-01-10_final.stac-item
2024-02-01 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2024-02-01_final.stac-item
2024-02-08 12:04:53	ga_s2bm_ard_3-2-1_50JLS_2024-02-08_final.stac-item
2024-02-08 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2024-02-08_final.stac-item
2024-02-11 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2024-02-11_final.stac-item
2024-02-15 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2024-02-15_final.stac-item
2024-02-22 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2024-02-22_final.stac-item
2024-02-25 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2024-02-25_final.stac-item
2024-03-06 11:55:22	ga_s2bm_ard_3-2-1_50JLQ_2024-03-06_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