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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2017-08-13_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_52JCN_2017-09-17_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JMM_2017-09-29_final
2017-10-07 11:11:46	ga_s2bm_ard_3-2-1_51JYJ_2017-10-07_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KYU_2017-11-12_final
2017-12-30 10:47:14	ga_s2bm_ard_3-2-1_52JFM_2017-12-30_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JHN_2017-12-31_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JLN_2018-01-27_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51JVK_2018-01-28_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLG_2018-02-06_final.stac-item
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_51KZQ_2018-03-06_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KMC_2018-03-28_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KWV_2018-04-01_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KHQ_2018-04-20_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KUA_2018-06-03_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51JWJ_2018-07-10_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51JWL_2018-07-30_final
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51KZU_2018-08-16_final
2018-09-12 11:07:03	ga_s2bm_ard_3-2-1_51KZP_2018-09-12_final
2018-11-24 11:22:57	ga_s2bm_ard_3-2-1_51KXU_2018-11-24_final
2018-11-26 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2018-11-26_final
2018-11-27 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2018-11-27_final
2019-01-05 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2019-01-05_final
2019-01-19 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2019-01-19_final
2019-01-29 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2019-01-29_final
2019-02-13 10:55:46	ga_s2bm_ard_3-2-1_52JFM_2019-02-13_final
2019-02-18 11:43:35	ga_s2bm_ard_3-2-1_51KVR_2019-02-18_final
2019-02-25 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2019-02-25_final
2019-03-06 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-03-06_final
2019-03-10 11:43:09	ga_s2bm_ard_3-2-1_51KVT_2019-03-10_final
2019-03-23 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2019-03-23_final
2019-06-05 11:32:27	ga_s2bm_ard_3-2-1_51KVB_2019-06-05_final
2019-06-05 11:37:25	ga_s2bm_ard_3-2-1_50HQG_2019-06-05_final.stac-item
2019-09-19 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2019-09-19_final
2019-10-06 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2019-10-06_final
2019-11-22 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2019-11-22_final
2019-12-12 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2019-12-12_final
2019-12-21 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2019-12-21_final
2020-01-19 10:55:50	ga_s2bm_ard_3-2-1_52JGL_2020-01-19_final
2020-04-10 11:35:52	ga_s2bm_ard_3-2-1_51JVG_2020-04-10_final
2020-05-07 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2020-05-07_final
2020-05-10 11:31:37	ga_s2bm_ard_3-2-1_51LYD_2020-05-10_final
2020-06-09 11:34:05	ga_s2bm_ard_3-2-1_51KUQ_2020-06-09_final
2020-06-15 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2020-06-15_final
2020-06-23 11:16:10	ga_s2bm_ard_3-2-1_51JYF_2020-06-23_final
2020-08-01 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2020-08-01_final.stac-item
2020-08-07 12:03:26	ga_s2bm_ard_3-2-1_50KMC_2020-08-07_final
2020-08-29 11:05:05	ga_s2bm_ard_3-2-1_52JEQ_2020-08-29_final
2020-10-27 11:32:18	ga_s2bm_ard_3-2-1_51KWB_2020-10-27_final
2020-11-06 11:32:31	ga_s2bm_ard_3-2-1_51KWA_2020-11-06_final
2020-11-11 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2020-11-11_final
2020-12-13 11:26:29	ga_s2bm_ard_3-2-1_51HUE_2020-12-13_final
2021-02-21 11:22:54	ga_s2bm_ard_3-2-1_51KYU_2021-02-21_final
2021-03-23 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2021-03-23_final
2021-04-22 11:22:50	ga_s2bm_ard_3-2-1_51KYU_2021-04-22_final
2021-04-30 10:45:43	ga_s2bm_ard_3-2-1_52JGM_2021-04-30_final
2021-05-14 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-05-14_final
2021-05-31 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2021-05-31_final
2021-07-23 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2021-07-23_final
2021-07-27 11:46:28	ga_s2bm_ard_3-2-1_50JML_2021-07-27_final
2021-08-03 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2021-08-03_final
2021-09-12 11:35:56	ga_s2bm_ard_3-2-1_51JUG_2021-09-12_final
2021-09-25 11:40:56	ga_s2bm_ard_3-2-1_51LWG_2021-09-25_final.stac-item
2021-10-15 11:43:45	ga_s2bm_ard_3-2-1_51KUR_2021-10-15_final
2021-11-17 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-11-17_final
2022-02-05 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2022-02-05_final
2022-02-08 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2022-02-08_final
2022-03-31 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2022-03-31_final
2022-04-27 11:23:32	ga_s2bm_ard_3-2-1_51KYR_2022-04-27_final
2022-05-10 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2022-05-10_final.stac-item
2022-05-13 11:40:56	ga_s2bm_ard_3-2-1_51LWG_2022-05-13_final.stac-item
2022-06-02 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2022-06-02_final
2022-07-07 10:55:27	ga_s2bm_ard_3-2-1_52JEP_2022-07-07_final
2022-07-12 11:45:44	ga_s2bm_ard_3-2-1_50JNP_2022-07-12_final
2022-09-04 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2022-09-04_final.stac-item
2022-09-10 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2022-09-10_final.stac-item
2022-09-20 11:41:57	ga_s2bm_ard_3-2-1_51LWC_2022-09-20_final.stac-item
2022-09-23 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2022-09-23_final.stac-item
2022-11-13 11:24:11	ga_s2bm_ard_3-2-1_51KXP_2022-11-13_final.stac-item
2022-12-27 11:05:38	ga_s2bm_ard_3-2-1_52JFM_2022-12-27_final.stac-item
2023-01-28 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2023-01-28_final.stac-item
2023-02-01 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2023-02-01_final.stac-item
2023-03-10 11:13:43	ga_s2bm_ard_3-2-1_52KBA_2023-03-10_final.stac-item
2023-04-01 11:53:21	ga_s2bm_ard_3-2-1_50KQC_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
2023-05-07 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-05-07_final.stac-item
2023-06-01 11:25:49	ga_s2bm_ard_3-2-1_51JVH_2023-06-01_final.stac-item
2023-06-08 11:15:23	ga_s2bm_ard_3-2-1_52JCP_2023-06-08_final.stac-item
2023-06-27 11:45:48	ga_s2bm_ard_3-2-1_51JTH_2023-06-27_final.stac-item
2023-07-12 10:54:52	ga_s2bm_ard_3-2-1_52JFR_2023-07-12_final.stac-item
2023-07-23 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-07-23_final.stac-item
2023-08-03 11:32:30	ga_s2bm_ard_3-2-1_51KXA_2023-08-03_final.stac-item
2023-08-05 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-08-05_final.stac-item
2023-08-20 11:23:26	ga_s2bm_ard_3-2-1_51KZS_2023-08-20_final.stac-item
2023-11-01 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2023-11-01_final.stac-item
2023-11-07 11:54:07	ga_s2bm_ard_3-2-1_50KPV_2023-11-07_final.stac-item
2023-11-24 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2023-11-24_final.stac-item
2024-01-03 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2024-01-03_final.stac-item
2024-02-29 11:32:27	ga_s2bm_ard_3-2-1_51KWA_2024-02-29_final.stac-item
2024-05-15 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2024-05-15_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