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
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JLL_2017-07-01_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50JPT_2017-09-16_final
2017-09-25 12:14:28	ga_s2bm_ard_3-2-1_49JGM_2017-09-25_final
2017-10-22 12:03:34	ga_s2bm_ard_3-2-1_49KHR_2017-10-22_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49JGM_2017-11-14_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGN_2017-12-11_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49JGM_2017-12-14_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HLH_2017-12-25_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLJ_2018-02-06_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HPG_2018-04-11_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KGP_2018-06-19_final
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KGR_2018-06-22_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JKM_2018-06-29_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JPL_2018-07-13_final
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_50HQG_2018-07-20_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50JPL_2018-08-12_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGM_2018-10-07_final
2018-12-10 11:47:11	ga_s2bm_ard_3-2-1_50HPG_2018-12-10_final.stac-item
2018-12-10 11:47:18	ga_s2bm_ard_3-2-1_50HMG_2018-12-10_final.stac-item
2018-12-23 11:55:16	ga_s2bm_ard_3-2-1_50JNQ_2018-12-23_final
2019-01-05 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2019-01-05_final
2019-01-08 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2019-01-08_final
2019-02-14 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-02-14_final
2019-05-15 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-05-15_final
2019-07-11 11:57:03	ga_s2bm_ard_3-2-1_50HLJ_2019-07-11_final
2019-07-14 12:05:53	ga_s2bm_ard_3-2-1_49JGJ_2019-07-14_final
2019-09-23 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2019-09-23_final.stac-item
2019-11-14 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2019-11-14_final
2019-11-28 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2019-11-28_final.stac-item
2020-02-02 12:13:47	ga_s2bm_ard_3-2-1_50KKA_2020-02-02_final
2020-02-12 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2020-02-12_final
2020-04-03 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2020-04-03_final
2020-04-16 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2020-04-16_final
2020-05-26 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2020-05-26_final
2020-06-11 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2020-06-11_final
2020-07-09 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2020-07-09_final
2020-09-07 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2020-09-07_final.stac-item
2020-10-23 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2020-10-23_final
2020-11-28 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2020-11-28_final
2020-12-08 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-12-08_final
2021-01-04 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2021-01-04_final
2021-02-17 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2021-02-17_final
2021-03-05 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2021-03-05_final
2021-03-05 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2021-03-05_final
2021-03-29 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2021-03-29_final.stac-item
2021-04-04 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2021-04-04_final
2021-04-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-04-04_final
2021-04-05 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2021-04-05_final.stac-item
2021-05-08 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2021-05-08_final
2021-05-27 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-05-27_final
2021-06-07 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2021-06-07_final
2021-06-13 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-06-13_final
2021-06-24 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2021-06-24_final
2021-07-24 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2021-07-24_final.stac-item
2021-07-27 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2021-07-27_final
2021-08-15 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-08-15_final
2021-08-16 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2021-08-16_final
2021-08-22 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2021-08-22_final
2021-09-15 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2021-09-15_final
2021-09-15 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2021-09-15_final
2021-12-31 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2021-12-31_final
2022-01-29 12:03:38	ga_s2bm_ard_3-2-1_50KKB_2022-01-29_final
2022-03-10 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2022-03-10_final
2022-03-30 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2022-03-30_final
2022-04-29 12:04:32	ga_s2bm_ard_3-2-1_49JHN_2022-04-29_final
2022-05-20 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2022-05-20_final
2022-05-23 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2022-05-23_final.stac-item
2022-06-22 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2022-06-22_final
2022-07-12 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2022-07-12_final
2022-09-29 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2022-09-29_final.stac-item
2022-10-07 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2022-10-07_final.stac-item
2022-10-16 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-10-16_final.stac-item
2022-11-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-15_final.stac-item
2022-12-05 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2022-12-05_final.stac-item
2022-12-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-12-25_final.stac-item
2023-01-05 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2023-01-05_final.stac-item
2023-01-05 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2023-01-05_final.stac-item
2023-02-20 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2023-02-20_final.stac-item
2023-02-24 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2023-02-24_final.stac-item
2023-03-28 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2023-03-28_final.stac-item
2023-03-29 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2023-03-29_final.stac-item
2023-04-01 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2023-04-01_final.stac-item
2023-04-11 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2023-04-11_final.stac-item
2023-05-25 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-05-25_final.stac-item
2023-05-31 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2023-05-31_final.stac-item
2023-06-03 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2023-06-03_final.stac-item
2023-06-06 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-06-06_final.stac-item
2023-06-20 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2023-06-20_final.stac-item
2023-07-07 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-07-07_final.stac-item
2023-07-30 11:55:44	ga_s2bm_ard_3-2-1_50JMP_2023-07-30_final.stac-item
2023-08-22 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2023-08-22_final.stac-item
2023-09-04 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2023-09-04_final.stac-item
2023-10-24 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2023-10-24_final.stac-item
2023-12-21 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-12-21_final.stac-item
2023-12-24 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2023-12-24_final.stac-item
2024-02-02 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2024-02-02_final.stac-item
2024-02-08 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2024-02-08_final.stac-item
2024-03-06 11:55:15	ga_s2bm_ard_3-2-1_50JNQ_2024-03-06_final.stac-item
2024-05-05 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2024-05-05_final.stac-item
2024-05-15 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2024-05-15_nrt.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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