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
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50JLQ_2017-10-19_final
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50HMG_2017-12-18_final.stac-item
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KHP_2018-02-12_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JKR_2018-03-11_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2018-04-23_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JLQ_2018-05-07_final
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JLQ_2018-05-10_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JKR_2018-06-29_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49KHS_2018-07-12_final.stac-item
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49KHS_2018-07-19_final.stac-item
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KHP_2018-08-11_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50JKR_2018-08-18_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49KHQ_2018-09-20_final
2019-02-14 12:05:08	ga_s2bm_ard_3-2-1_50JLR_2019-02-14_final
2019-03-29 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2019-03-29_final
2019-04-05 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2019-04-05_final
2019-04-08 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2019-04-08_final
2019-04-25 12:05:26	ga_s2bm_ard_3-2-1_50JKR_2019-04-25_final
2019-04-28 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2019-04-28_final
2019-05-08 12:14:18	ga_s2bm_ard_3-2-1_49KHQ_2019-05-08_final
2019-06-04 12:05:31	ga_s2bm_ard_3-2-1_50JLQ_2019-06-04_final
2019-06-17 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-06-17_final
2019-07-27 12:13:48	ga_s2bm_ard_3-2-1_49KHS_2019-07-27_final.stac-item
2019-09-09 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2019-09-09_final.stac-item
2019-10-02 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2019-10-02_final
2019-10-15 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2019-10-15_final
2019-10-22 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2019-10-22_final
2019-10-25 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2019-10-25_final
2019-12-01 12:05:03	ga_s2bm_ard_3-2-1_50JLR_2019-12-01_final
2020-01-07 11:55:07	ga_s2bm_ard_3-2-1_50JLR_2020-01-07_final
2020-01-07 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2020-01-07_final.stac-item
2020-03-07 11:55:10	ga_s2bm_ard_3-2-1_50JLR_2020-03-07_final
2020-03-07 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2020-03-07_final
2020-05-09 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2020-05-09_final
2020-05-23 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2020-05-23_final.stac-item
2020-06-05 11:55:15	ga_s2bm_ard_3-2-1_50JLR_2020-06-05_final
2020-06-08 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2020-06-08_final
2020-06-15 11:55:15	ga_s2bm_ard_3-2-1_50JLR_2020-06-15_final
2020-07-08 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2020-07-08_final
2020-07-12 11:46:49	ga_s2bm_ard_3-2-1_50HMK_2020-07-12_final
2020-08-27 12:04:51	ga_s2bm_ard_3-2-1_50JKS_2020-08-27_final
2020-08-27 12:05:15	ga_s2bm_ard_3-2-1_50JKR_2020-08-27_final
2020-09-13 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2020-09-13_final
2020-10-13 11:55:16	ga_s2bm_ard_3-2-1_50JLR_2020-10-13_final
2020-10-27 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2020-10-27_final.stac-item
2020-11-09 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2020-11-09_final
2020-11-09 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2020-11-09_final.stac-item
2020-12-05 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2020-12-05_final
2020-12-19 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2020-12-19_final.stac-item
2021-01-31 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2021-01-31_final
2021-04-04 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2021-04-04_final
2021-04-14 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2021-04-14_final
2021-04-18 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2021-04-18_final.stac-item
2021-05-21 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2021-05-21_final
2021-08-06 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2021-08-06_final
2021-09-25 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2021-09-25_final.stac-item
2021-10-31 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2021-10-31_final
2021-11-14 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2021-11-14_final.stac-item
2021-11-24 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2021-11-24_final.stac-item
2021-12-20 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2021-12-20_final
2021-12-30 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2021-12-30_final
2021-12-30 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2021-12-30_final
2022-01-06 11:55:09	ga_s2bm_ard_3-2-1_50JLR_2022-01-06_final
2022-01-09 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2022-01-09_final
2022-02-28 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2022-02-28_final
2022-03-14 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2022-03-14_final.stac-item
2022-03-17 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2022-03-17_final
2022-03-24 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2022-03-24_final.stac-item
2022-05-06 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2022-05-06_final
2022-07-21 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2022-07-21_final.stac-item
2022-08-31 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2022-08-31_final.stac-item
2022-10-13 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2022-10-13_final.stac-item
2022-11-29 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2022-11-29_final.stac-item
2023-01-15 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2023-01-15_final.stac-item
2023-02-03 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2023-02-03_final.stac-item
2023-02-10 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2023-02-10_final.stac-item
2023-02-20 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2023-02-20_final.stac-item
2023-03-05 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2023-03-05_final.stac-item
2023-04-04 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2023-04-04_final.stac-item
2023-04-21 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2023-04-21_final.stac-item
2023-04-24 12:04:35	ga_s2bm_ard_3-2-1_49JHN_2023-04-24_final.stac-item
2023-05-05 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2023-05-05_final.stac-item
2023-05-14 12:05:15	ga_s2bm_ard_3-2-1_50JKR_2023-05-14_final.stac-item
2023-06-03 12:05:16	ga_s2bm_ard_3-2-1_50JKR_2023-06-03_final.stac-item
2023-06-10 11:55:18	ga_s2bm_ard_3-2-1_50JLR_2023-06-10_final.stac-item
2023-06-10 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2023-06-10_final.stac-item
2023-06-13 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2023-06-13_final.stac-item
2023-07-13 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2023-07-13_final.stac-item
2023-07-23 12:05:14	ga_s2bm_ard_3-2-1_50JLR_2023-07-23_final.stac-item
2023-08-12 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2023-08-12_final.stac-item
2023-08-29 11:55:17	ga_s2bm_ard_3-2-1_50JLR_2023-08-29_final.stac-item
2023-09-01 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2023-09-01_final.stac-item
2023-09-11 12:05:15	ga_s2bm_ard_3-2-1_50JKR_2023-09-11_final.stac-item
2023-10-18 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2023-10-18_final.stac-item
2023-10-25 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2023-10-25_final.stac-item
2023-11-17 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2023-11-17_final.stac-item
2023-11-20 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2023-11-20_final.stac-item
2023-11-24 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2023-11-24_final.stac-item
2024-03-06 11:57:17	ga_s2bm_ard_3-2-1_50HLG_2024-03-06_final.stac-item
2024-04-01 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2024-04-01_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

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