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
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KGQ_2017-09-15_final
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49KHQ_2017-10-25_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KHQ_2018-05-23_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49KGQ_2018-10-17_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JLN_2018-10-17_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HQK_2018-10-21_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JLM_2018-10-27_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KGR_2018-10-30_final
2018-11-06 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2018-11-06_final
2018-11-06 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2018-11-06_final
2018-11-16 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2018-11-16_final
2018-11-26 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2018-11-26_final
2018-12-13 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2018-12-13_final
2018-12-19 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2018-12-19_final
2019-01-28 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2019-01-28_final
2019-02-24 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2019-02-24_final
2019-08-03 12:04:26	ga_s2bm_ard_3-2-1_49KGQ_2019-08-03_final
2019-09-25 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2019-09-25_final
2019-11-11 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2019-11-11_final
2019-11-11 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2019-11-11_final
2019-11-18 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2019-11-18_final
2019-11-21 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2019-11-21_final
2019-11-21 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2019-11-21_final
2019-12-24 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2019-12-24_final
2020-05-09 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2020-05-09_final
2020-07-21 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2020-07-21_final
2020-07-21 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-07-21_final
2020-08-31 11:46:57	ga_s2bm_ard_3-2-1_50HQH_2020-08-31_final
2020-09-06 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-09-06_final
2020-09-06 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2020-09-06_final
2020-09-13 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2020-09-13_final
2020-09-13 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2020-09-13_final
2020-09-16 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2020-09-16_final
2020-09-19 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-09-19_final.stac-item
2020-09-23 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2020-09-23_final
2020-09-23 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2020-09-23_final
2020-10-03 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2020-10-03_final
2020-10-06 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2020-10-06_final
2020-10-06 12:06:08	ga_s2bm_ard_3-2-1_50JLM_2020-10-06_final
2020-11-15 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2020-11-15_final
2021-09-11 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2021-09-11_final
2021-09-11 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2021-09-11_final
2021-09-18 11:55:24	ga_s2bm_ard_3-2-1_50JLQ_2021-09-18_final
2021-09-28 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2021-09-28_final
2021-10-08 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2021-10-08_final
2021-10-11 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2021-10-11_final
2021-10-18 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-10-18_final
2021-10-28 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2021-10-28_final
2021-11-27 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2021-11-27_final
2022-01-02 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-01-02_final
2022-01-06 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2022-01-06_final
2022-01-06 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2022-01-06_final.stac-item
2022-01-16 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2022-01-16_final
2022-02-05 11:56:31	ga_s2bm_ard_3-2-1_50HMK_2022-02-05_final
2022-02-08 12:04:57	ga_s2bm_ard_3-2-1_50JKS_2022-02-08_final
2022-02-15 11:55:21	ga_s2bm_ard_3-2-1_50JLQ_2022-02-15_final
2022-02-25 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2022-02-25_final
2022-02-28 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2022-02-28_final
2022-03-07 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2022-03-07_final
2022-03-17 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2022-03-17_final
2022-04-16 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2022-04-16_final
2022-05-06 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-05-06_final
2022-05-26 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2022-05-26_final
2022-06-25 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2022-06-25_final
2022-07-18 12:05:27	ga_s2bm_ard_3-2-1_50JLQ_2022-07-18_final
2022-08-14 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2022-08-14_final
2022-08-24 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2022-08-24_final
2022-10-03 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2022-10-03_final.stac-item
2022-11-02 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2022-11-02_final.stac-item
2022-11-29 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2022-11-29_final.stac-item
2022-12-15 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2022-12-15_final.stac-item
2023-01-08 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2023-01-08_final.stac-item
2023-01-18 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2023-01-18_final.stac-item
2023-02-10 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2023-02-10_final.stac-item
2023-02-20 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2023-02-20_final.stac-item
2023-03-12 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2023-03-12_final.stac-item
2023-03-12 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-03-12_final.stac-item
2023-03-22 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2023-03-22_final.stac-item
2023-03-22 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2023-03-22_final.stac-item
2023-05-01 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2023-05-01_final.stac-item
2023-05-18 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-05-18_final.stac-item
2023-05-21 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-05-21_final.stac-item
2023-06-03 12:05:27	ga_s2bm_ard_3-2-1_50JLQ_2023-06-03_final.stac-item
2023-06-30 11:56:42	ga_s2bm_ard_3-2-1_50HMK_2023-06-30_final.stac-item
2023-08-19 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-08-19_final.stac-item
2023-08-23 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2023-08-23_final.stac-item
2023-08-26 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-08-26_final.stac-item
2023-09-08 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2023-09-08_final.stac-item
2023-09-08 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-09-08_final.stac-item
2023-10-01 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2023-10-01_final.stac-item
2023-10-11 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2023-10-11_final.stac-item
2023-10-18 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2023-10-18_final.stac-item
2023-11-20 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2023-11-20_final.stac-item
2023-12-10 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2023-12-10_final.stac-item
2023-12-20 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2023-12-20_final.stac-item
2024-01-19 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2024-01-19_final.stac-item
2024-01-23 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2024-01-23_final.stac-item
2024-01-26 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2024-01-26_final.stac-item
2024-02-28 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2024-02-28_final.stac-item
2024-03-26 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2024-03-26_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