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_50KNA_2017-09-22_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51JZN_2018-04-28_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HMK_2018-06-06_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JLQ_2018-08-05_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HMH_2018-09-11_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49KHP_2018-09-20_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HNK_2018-09-24_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JNL_2018-09-24_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51HUC_2018-09-25_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51HXD_2018-09-25_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KGQ_2018-09-27_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_50KKA_2018-09-30_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_50KKB_2018-10-07_final
2018-10-08 11:37:13	ga_s2bm_ard_3-2-1_50HNG_2018-10-08_final.stac-item
2018-12-03 11:53:34	ga_s2bm_ard_3-2-1_50KNB_2018-12-03_final
2019-07-31 11:53:29	ga_s2bm_ard_3-2-1_50KPC_2019-07-31_final
2019-09-03 11:35:04	ga_s2bm_ard_3-2-1_51JUL_2019-09-03_final
2019-09-13 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2019-09-13_final
2019-09-20 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2019-09-20_final
2019-09-23 11:35:55	ga_s2bm_ard_3-2-1_51JVG_2019-09-23_final
2019-09-23 11:36:33	ga_s2bm_ard_3-2-1_51HVD_2019-09-23_final
2019-11-01 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2019-11-01_final
2020-03-31 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2020-03-31_final.stac-item
2020-04-12 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2020-04-12_final
2020-07-31 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-07-31_final
2020-08-10 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-08-10_final
2020-11-12 11:53:32	ga_s2bm_ard_3-2-1_50KMC_2020-11-12_final
2020-11-12 11:56:27	ga_s2bm_ard_3-2-1_50JNL_2020-11-12_final
2021-02-27 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-02-27_final
2021-06-18 11:15:38	ga_s2bm_ard_3-2-1_51JXH_2021-06-18_final
2021-08-12 12:04:22	ga_s2bm_ard_3-2-1_50KKU_2021-08-12_final
2021-09-08 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2021-09-08_final
2021-09-15 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-09-15_final
2021-10-22 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2021-10-22_final
2021-11-20 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2021-11-20_final
2021-11-20 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2021-11-20_final
2022-01-16 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2022-01-16_final
2022-02-05 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-02-05_final
2022-02-26 11:25:41	ga_s2bm_ard_3-2-1_51JVH_2022-02-26_final
2022-03-04 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2022-03-04_final
2022-03-27 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2022-03-27_final
2022-03-30 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2022-03-30_final
2022-03-30 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2022-03-30_final
2022-04-19 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2022-04-19_final
2022-04-26 11:56:48	ga_s2bm_ard_3-2-1_50HLJ_2022-04-26_final
2022-04-30 11:34:54	ga_s2bm_ard_3-2-1_51JUL_2022-04-30_final
2022-04-30 11:35:38	ga_s2bm_ard_3-2-1_51JUH_2022-04-30_final
2022-06-05 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2022-06-05_final
2022-06-05 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2022-06-05_final
2022-06-25 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2022-06-25_final
2022-07-09 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2022-07-09_final
2022-07-15 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2022-07-15_final
2022-08-04 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2022-08-04_final.stac-item
2022-08-14 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2022-08-14_final
2022-08-25 11:26:26	ga_s2bm_ard_3-2-1_51HWE_2022-08-25_final
2022-09-10 11:45:38	ga_s2bm_ard_3-2-1_50JPP_2022-09-10_final.stac-item
2022-09-17 11:36:35	ga_s2bm_ard_3-2-1_51HVD_2022-09-17_final.stac-item
2022-09-26 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2022-09-26_final.stac-item
2022-09-26 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2022-09-26_final.stac-item
2022-10-13 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2022-10-13_final.stac-item
2023-02-20 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2023-02-20_final.stac-item
2023-03-12 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-03-12_final.stac-item
2023-03-22 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2023-03-22_final.stac-item
2023-04-01 11:55:24	ga_s2bm_ard_3-2-1_50JNQ_2023-04-01_final.stac-item
2023-05-01 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-05-01_final.stac-item
2023-05-08 11:44:01	ga_s2bm_ard_3-2-1_51KUQ_2023-05-08_final.stac-item
2023-05-21 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-05-21_final.stac-item
2023-05-25 11:34:08	ga_s2bm_ard_3-2-1_51KUQ_2023-05-25_final.stac-item
2023-05-25 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2023-05-25_final.stac-item
2023-06-27 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-06-27_final.stac-item
2023-06-30 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-06-30_final.stac-item
2023-07-14 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-07-14_final.stac-item
2023-07-21 11:24:43	ga_s2bm_ard_3-2-1_51JYM_2023-07-21_final.stac-item
2023-07-27 11:44:04	ga_s2bm_ard_3-2-1_51KUQ_2023-07-27_final.stac-item
2023-08-07 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2023-08-07_final.stac-item
2023-08-12 12:04:56	ga_s2bm_ard_3-2-1_50JMS_2023-08-12_final.stac-item
2023-08-16 11:44:04	ga_s2bm_ard_3-2-1_51KUQ_2023-08-16_final.stac-item
2023-08-29 11:56:27	ga_s2bm_ard_3-2-1_50JML_2023-08-29_final.stac-item
2023-09-08 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2023-09-08_final.stac-item
2023-09-09 11:26:40	ga_s2bm_ard_3-2-1_51HXD_2023-09-09_final.stac-item
2023-09-25 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-09-25_final.stac-item
2023-10-05 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2023-10-05_final.stac-item
2023-10-18 11:56:24	ga_s2bm_ard_3-2-1_50JML_2023-10-18_final.stac-item
2023-10-18 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2023-10-18_final.stac-item
2023-10-25 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2023-10-25_final.stac-item
2023-10-31 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2023-10-31_final.stac-item
2023-12-17 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2023-12-17_final.stac-item
2023-12-27 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2023-12-27_final.stac-item
2023-12-27 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2023-12-27_final.stac-item
2024-01-06 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2024-01-06_final.stac-item
2024-01-07 11:26:04	ga_s2bm_ard_3-2-1_51JUG_2024-01-07_final.stac-item
2024-01-19 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2024-01-19_final.stac-item
2024-01-30 11:35:39	ga_s2bm_ard_3-2-1_51JVH_2024-01-30_final.stac-item
2024-01-30 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2024-01-30_final.stac-item
2024-02-03 11:15:51	ga_s2bm_ard_3-2-1_51JYG_2024-02-03_final.stac-item
2024-02-09 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2024-02-09_final.stac-item
2024-02-22 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-02-22_final.stac-item
2024-03-30 11:36:33	ga_s2bm_ard_3-2-1_51HVD_2024-03-30_final.stac-item
2024-04-02 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2024-04-02_final.stac-item
2024-05-02 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-05-02_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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