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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50JLT_2017-07-04_final
2017-07-14 12:03:48	ga_s2bm_ard_3-2-1_49KHR_2017-07-14_final
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HQJ_2017-07-18_final
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50JML_2017-07-18_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JLN_2017-09-29_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HNG_2017-10-06_final.stac-item
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49KGP_2017-11-01_final
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49KHR_2017-12-24_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JKT_2018-02-09_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KGP_2018-03-31_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JNQ_2018-04-07_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JMM_2018-04-17_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2018-05-03_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50JLN_2018-05-17_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JKT_2018-06-19_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50JPM_2018-06-23_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JMM_2018-07-13_final
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KGP_2018-08-11_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50JKN_2018-08-18_final
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HPK_2018-08-19_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50JNL_2018-09-11_final
2018-11-10 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2018-11-10_final
2019-02-28 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2019-02-28_final
2019-03-13 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2019-03-13_final
2019-04-05 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2019-04-05_final
2019-04-18 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2019-04-18_final
2019-04-22 11:57:16	ga_s2bm_ard_3-2-1_50HLH_2019-04-22_final
2019-07-08 11:46:57	ga_s2bm_ard_3-2-1_50HPJ_2019-07-08_final
2019-07-24 12:06:00	ga_s2bm_ard_3-2-1_50JLN_2019-07-24_final
2019-09-05 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2019-09-05_final
2019-09-15 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-09-15_final
2019-09-16 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2019-09-16_final
2019-10-13 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2019-10-13_final.stac-item
2019-10-19 11:55:17	ga_s2bm_ard_3-2-1_50JPQ_2019-10-19_final
2019-10-22 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2019-10-22_final
2019-11-04 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-11-04_final
2020-01-01 11:36:15	ga_s2bm_ard_3-2-1_50JQL_2020-01-01_final
2020-01-20 12:04:21	ga_s2bm_ard_3-2-1_49KHP_2020-01-20_final
2020-02-12 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2020-02-12_final
2020-02-26 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2020-02-26_final
2020-04-03 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2020-04-03_final
2020-05-09 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2020-05-09_final
2020-06-02 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2020-06-02_final
2020-07-25 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-07-25_final
2020-08-04 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2020-08-04_final
2020-08-17 12:04:51	ga_s2bm_ard_3-2-1_50JKS_2020-08-17_final
2020-09-09 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-09-09_final
2020-09-27 11:36:29	ga_s2bm_ard_3-2-1_50JPL_2020-09-27_final
2020-10-09 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2020-10-09_final
2020-12-25 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-12-25_final
2021-01-05 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-01-05_final
2021-02-03 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2021-02-03_final
2021-02-07 11:45:49	ga_s2bm_ard_3-2-1_50JPN_2021-02-07_final
2021-02-13 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-02-13_final
2021-03-05 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2021-03-05_final
2021-06-17 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-06-17_final
2021-07-10 11:55:22	ga_s2bm_ard_3-2-1_50JNQ_2021-07-10_final
2021-07-10 11:55:55	ga_s2bm_ard_3-2-1_50JMN_2021-07-10_final
2021-07-16 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2021-07-16_final
2021-08-23 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2021-08-23_final
2021-08-26 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-08-26_final
2021-09-11 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2021-09-11_final
2021-10-15 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-10-15_final
2021-10-21 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2021-10-21_final
2021-11-27 11:54:58	ga_s2bm_ard_3-2-1_50JPR_2021-11-27_final
2021-12-24 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2021-12-24_final
2022-01-16 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2022-01-16_final
2022-02-28 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2022-02-28_final
2022-04-09 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2022-04-09_final
2022-06-15 11:56:26	ga_s2bm_ard_3-2-1_50JML_2022-06-15_final
2022-06-22 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2022-06-22_final.stac-item
2022-08-07 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2022-08-07_final
2022-08-20 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2022-08-20_final
2022-08-21 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2022-08-21_final.stac-item
2022-09-30 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2022-09-30_final.stac-item
2022-12-19 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-12-19_final.stac-item
2023-01-05 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2023-01-05_final.stac-item
2023-01-11 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2023-01-11_final.stac-item
2023-04-11 11:56:24	ga_s2bm_ard_3-2-1_50JML_2023-04-11_final.stac-item
2023-04-24 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-04-24_final.stac-item
2023-04-25 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2023-04-25_final.stac-item
2023-05-04 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2023-05-04_final.stac-item
2023-05-17 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2023-05-17_final.stac-item
2023-05-21 11:56:27	ga_s2bm_ard_3-2-1_50JML_2023-05-21_final.stac-item
2023-06-20 11:55:46	ga_s2bm_ard_3-2-1_50JLP_2023-06-20_final.stac-item
2023-06-27 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-06-27_final.stac-item
2023-06-30 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-06-30_final.stac-item
2023-07-06 12:14:18	ga_s2bm_ard_3-2-1_49KGQ_2023-07-06_final.stac-item
2023-07-16 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-07-16_final.stac-item
2023-07-24 11:36:54	ga_s2bm_ard_3-2-1_50HQJ_2023-07-24_final.stac-item
2023-08-05 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2023-08-05_final.stac-item
2023-08-09 11:56:35	ga_s2bm_ard_3-2-1_50HNK_2023-08-09_final.stac-item
2023-08-15 12:14:47	ga_s2bm_ard_3-2-1_49JGN_2023-08-15_final.stac-item
2023-09-11 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-09-11_final.stac-item
2023-10-28 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2023-10-28_final.stac-item
2023-11-30 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2023-11-30_final.stac-item
2023-12-01 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2023-12-01_final.stac-item
2024-02-25 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2024-02-25_final.stac-item
2024-02-29 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2024-02-29_final.stac-item
2024-03-22 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2024-03-22_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