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_50KKA_2017-09-15_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HLG_2017-09-29_final.stac-item
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HMG_2018-01-07_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HLH_2018-02-13_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JKN_2018-03-28_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KGQ_2018-04-10_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50JPL_2018-04-11_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HMJ_2018-04-17_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGM_2018-04-20_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HNG_2018-04-24_final.stac-item
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_50HPG_2018-07-10_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HPG_2018-07-23_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JQL_2018-07-23_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50HMJ_2018-07-26_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JML_2018-07-26_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JMN_2018-08-05_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JNL_2018-08-05_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JNR_2018-08-05_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JPR_2018-08-05_final
2018-08-21 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-08-21_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-08-28_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50HQG_2018-08-29_final.stac-item
2018-11-09 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2018-11-09_final
2018-11-19 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2018-11-19_final
2018-12-03 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2018-12-03_final
2018-12-16 12:03:38	ga_s2bm_ard_3-2-1_50KKB_2018-12-16_final
2019-01-05 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2019-01-05_final
2019-01-15 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2019-01-15_final
2019-02-14 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2019-02-14_final
2019-04-05 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2019-04-05_final
2019-04-06 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2019-04-06_final.stac-item
2019-05-19 11:47:26	ga_s2bm_ard_3-2-1_50HPG_2019-05-19_final.stac-item
2019-06-15 11:36:59	ga_s2bm_ard_3-2-1_50HPJ_2019-06-15_final
2019-08-13 12:05:47	ga_s2bm_ard_3-2-1_50JKP_2019-08-13_final
2019-08-17 11:47:28	ga_s2bm_ard_3-2-1_50HNG_2019-08-17_final.stac-item
2019-08-23 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2019-08-23_final
2019-11-11 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2019-11-11_final
2019-12-08 11:55:50	ga_s2bm_ard_3-2-1_50JLN_2019-12-08_final
2020-01-10 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2020-01-10_final
2020-02-06 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2020-02-06_final
2020-03-31 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2020-03-31_final
2020-05-26 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2020-05-26_final
2020-05-26 11:56:27	ga_s2bm_ard_3-2-1_50JML_2020-05-26_final
2020-06-01 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2020-06-01_final
2020-06-02 11:45:48	ga_s2bm_ard_3-2-1_50JQN_2020-06-02_final
2020-06-05 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2020-06-05_final.stac-item
2020-07-01 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-07-01_final.stac-item
2020-08-07 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-08-07_final
2020-09-20 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2020-09-20_final
2020-09-27 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2020-09-27_final
2020-10-07 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2020-10-07_final
2020-10-10 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2020-10-10_final
2020-10-10 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2020-10-10_final
2020-10-30 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2020-10-30_final.stac-item
2021-01-17 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2021-01-17_final
2021-01-31 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2021-01-31_final.stac-item
2021-02-04 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-02-04_final
2021-02-20 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2021-02-20_final.stac-item
2021-03-12 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2021-03-12_final
2021-04-14 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2021-04-14_final
2021-05-18 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-05-18_final
2021-06-03 12:04:45	ga_s2bm_ard_3-2-1_50JMS_2021-06-03_final
2021-06-07 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2021-06-07_final.stac-item
2021-06-13 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-06-13_final
2021-07-07 11:46:17	ga_s2bm_ard_3-2-1_50JQL_2021-07-07_final
2021-07-24 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2021-07-24_final
2021-07-26 12:13:46	ga_s2bm_ard_3-2-1_49KHS_2021-07-26_final.stac-item
2021-08-22 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-08-22_final
2021-08-25 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-08-25_final
2021-11-14 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-11-14_final.stac-item
2021-12-04 11:47:05	ga_s2bm_ard_3-2-1_50HPG_2021-12-04_final.stac-item
2022-02-09 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2022-02-09_final
2022-03-30 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2022-03-30_final
2022-04-23 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2022-04-23_final
2022-05-29 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2022-05-29_final
2022-06-12 11:45:20	ga_s2bm_ard_3-2-1_50JQQ_2022-06-12_final
2022-07-09 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2022-07-09_final
2022-07-15 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2022-07-15_final
2022-07-18 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2022-07-18_final.stac-item
2022-07-22 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2022-07-22_final
2022-08-01 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2022-08-01_final
2022-08-27 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2022-08-27_final
2022-09-16 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2022-09-16_final.stac-item
2022-09-17 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2022-09-17_final.stac-item
2022-09-26 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2022-09-26_final.stac-item
2022-10-09 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2022-10-09_final.stac-item
2022-10-16 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2022-10-16_final.stac-item
2022-10-26 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2022-10-26_final.stac-item
2022-11-08 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-11-08_final.stac-item
2023-01-07 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2023-01-07_final.stac-item
2023-01-11 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2023-01-11_final.stac-item
2023-02-17 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2023-02-17_final.stac-item
2023-02-24 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2023-02-24_final.stac-item
2023-06-24 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-06-24_final.stac-item
2023-07-07 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-07-07_final.stac-item
2023-07-10 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-07-10_final.stac-item
2023-09-24 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2023-09-24_final.stac-item
2023-11-27 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2023-11-27_final.stac-item
2024-02-21 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2024-02-21_final.stac-item
2024-02-29 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2024-02-29_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