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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JLP_2017-07-31_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HNG_2017-10-06_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HPG_2017-10-06_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HPJ_2017-10-06_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50HLK_2017-11-08_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49KGP_2017-12-01_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JLT_2017-12-11_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPG_2018-01-11_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50JPL_2018-01-14_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50HQH_2018-06-10_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50JNM_2018-06-23_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HQK_2018-07-13_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JMS_2018-08-05_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JNL_2018-10-24_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50JPL_2018-10-31_final
2018-11-26 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2018-11-26_final
2018-11-27 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2018-11-27_final
2018-11-29 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2018-11-29_final
2018-12-16 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2018-12-16_final
2019-01-15 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2019-01-15_final
2019-01-22 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2019-01-22_final
2019-05-15 12:06:00	ga_s2bm_ard_3-2-1_50JLN_2019-05-15_final
2019-06-04 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-04_final
2019-06-18 11:47:01	ga_s2bm_ard_3-2-1_50HQH_2019-06-18_final
2019-06-28 11:46:42	ga_s2bm_ard_3-2-1_50HPK_2019-06-28_final
2019-08-07 11:46:59	ga_s2bm_ard_3-2-1_50HNJ_2019-08-07_final
2019-08-17 11:46:32	ga_s2bm_ard_3-2-1_50JML_2019-08-17_final
2019-09-05 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2019-09-05_final
2019-09-26 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2019-09-26_final
2019-10-05 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-10-05_final
2019-10-22 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2019-10-22_final
2019-11-11 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2019-11-11_final
2019-11-24 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2019-11-24_final
2019-12-14 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2019-12-14_final
2019-12-31 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2019-12-31_final
2020-02-16 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2020-02-16_final
2020-02-19 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2020-02-19_final
2020-03-17 11:55:47	ga_s2bm_ard_3-2-1_50JNN_2020-03-17_final
2020-03-20 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2020-03-20_final
2020-04-13 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2020-04-13_final
2020-05-06 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2020-05-06_final
2020-05-13 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2020-05-13_final
2020-05-16 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2020-05-16_final
2020-06-01 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-06-01_final
2020-07-15 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2020-07-15_final
2020-10-16 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-10-16_final
2020-11-08 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2020-11-08_final
2021-01-04 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2021-01-04_final
2021-02-20 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2021-02-20_final
2021-03-06 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2021-03-06_final
2021-03-06 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2021-03-06_final
2021-03-19 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-03-19_final.stac-item
2021-05-14 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-05-14_final
2021-06-06 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-06-06_final
2021-06-30 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2021-06-30_final
2021-07-04 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-07-04_final
2021-07-07 11:46:02	ga_s2bm_ard_3-2-1_50JQM_2021-07-07_final
2021-07-07 11:46:28	ga_s2bm_ard_3-2-1_50JML_2021-07-07_final
2021-10-31 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-10-31_final
2021-11-03 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-11-03_final
2021-11-13 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2021-11-13_final
2022-01-02 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2022-01-02_final
2022-01-30 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2022-01-30_final
2022-04-03 11:45:47	ga_s2bm_ard_3-2-1_50JPN_2022-04-03_final
2022-04-06 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2022-04-06_final
2022-05-09 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2022-05-09_final
2022-06-25 11:56:09	ga_s2bm_ard_3-2-1_50JNM_2022-06-25_final
2022-07-18 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2022-07-18_final
2022-07-18 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2022-07-18_final
2022-08-27 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2022-08-27_final
2022-09-06 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2022-09-06_final.stac-item
2022-09-10 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2022-09-10_final.stac-item
2022-09-19 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2022-09-19_final.stac-item
2022-09-23 11:56:23	ga_s2bm_ard_3-2-1_50JML_2022-09-23_final.stac-item
2022-11-08 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2022-11-08_final.stac-item
2022-12-16 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2022-12-16_final.stac-item
2023-01-04 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2023-01-04_final.stac-item
2023-01-17 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2023-01-17_final.stac-item
2023-01-27 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2023-01-27_final.stac-item
2023-02-20 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2023-02-20_final.stac-item
2023-03-05 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-03-05_final.stac-item
2023-03-25 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2023-03-25_final.stac-item
2023-04-28 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2023-04-28_final.stac-item
2023-05-21 11:56:23	ga_s2bm_ard_3-2-1_50JNL_2023-05-21_final.stac-item
2023-06-14 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2023-06-14_final.stac-item
2023-06-27 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-06-27_final.stac-item
2023-08-25 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-08-25_final.stac-item
2023-09-21 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2023-09-21_final.stac-item
2023-09-22 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2023-09-22_final.stac-item
2023-09-28 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2023-09-28_final.stac-item
2023-10-02 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2023-10-02_final.stac-item
2023-10-21 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-21_final.stac-item
2023-10-28 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2023-10-28_final.stac-item
2023-11-10 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2023-11-10_final.stac-item
2023-11-20 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2023-11-20_final.stac-item
2023-12-20 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-12-20_final.stac-item
2023-12-24 11:46:27	ga_s2bm_ard_3-2-1_50JML_2023-12-24_final.stac-item
2024-01-23 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2024-01-23_final.stac-item
2024-04-15 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2024-04-15_final.stac-item
2024-05-15 11:55:55	ga_s2bm_ard_3-2-1_50JLN_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

All years