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
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KVR_2017-07-18_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50JRT_2017-09-16_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KVB_2017-11-15_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JKN_2017-11-18_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JLN_2017-11-18_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KUS_2017-11-22_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50JLT_2017-12-21_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_50JPL_2017-12-22_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KPC_2017-12-28_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JQT_2018-01-24_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51JZM_2018-01-28_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HMG_2018-04-07_final.stac-item
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JXH_2018-05-18_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_50KKA_2018-05-23_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50KQC_2018-06-16_final
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_50JKN_2018-07-29_final
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_50JLN_2018-07-29_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KGP_2018-08-21_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JVJ_2018-08-29_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_51KUR_2018-09-01_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KVA_2018-09-11_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KUV_2018-09-21_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JNR_2018-10-04_final
2019-01-29 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2019-01-29_final
2019-04-06 11:32:32	ga_s2bm_ard_3-2-1_51KWA_2019-04-06_final
2019-05-05 12:04:36	ga_s2bm_ard_3-2-1_50KKU_2019-05-05_final
2019-05-19 11:42:51	ga_s2bm_ard_3-2-1_51KVV_2019-05-19_final
2019-07-01 11:56:02	ga_s2bm_ard_3-2-1_50JMN_2019-07-01_final
2019-07-22 11:25:54	ga_s2bm_ard_3-2-1_51JVH_2019-07-22_final
2019-08-13 12:05:33	ga_s2bm_ard_3-2-1_50JKQ_2019-08-13_final
2019-08-30 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2019-08-30_final
2019-09-02 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2019-09-02_final
2019-09-26 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2019-09-26_final
2019-10-13 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2019-10-13_final
2019-11-25 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2019-11-25_final
2019-12-02 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2019-12-02_final
2020-01-30 12:05:44	ga_s2bm_ard_3-2-1_50JLN_2020-01-30_final
2020-02-17 11:24:28	ga_s2bm_ard_3-2-1_51JZM_2020-02-17_final
2020-03-31 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2020-03-31_final
2020-04-06 11:54:51	ga_s2bm_ard_3-2-1_50JNS_2020-04-06_final
2020-04-10 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2020-04-10_final
2020-04-17 11:26:54	ga_s2bm_ard_3-2-1_51HVC_2020-04-17_final
2020-04-27 11:26:27	ga_s2bm_ard_3-2-1_51HUE_2020-04-27_final
2020-06-02 11:45:48	ga_s2bm_ard_3-2-1_50JQN_2020-06-02_final
2020-06-03 11:15:26	ga_s2bm_ard_3-2-1_51JYJ_2020-06-03_final
2020-06-28 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-06-28_final
2020-06-28 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2020-06-28_final
2020-08-08 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-08-08_final
2020-10-10 11:42:25	ga_s2bm_ard_3-2-1_51KWA_2020-10-10_final
2020-10-14 11:25:17	ga_s2bm_ard_3-2-1_51JWK_2020-10-14_final
2020-10-23 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2020-10-23_final
2021-01-15 11:32:32	ga_s2bm_ard_3-2-1_51KVA_2021-01-15_final
2021-01-28 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2021-01-28_final
2021-02-13 12:04:20	ga_s2bm_ard_3-2-1_50KMU_2021-02-13_final
2021-04-14 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2021-04-14_final
2021-04-28 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2021-04-28_final
2021-06-17 11:44:35	ga_s2bm_ard_3-2-1_50JQT_2021-06-17_final
2021-06-27 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2021-06-27_final
2021-06-30 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2021-06-30_final
2021-07-10 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2021-07-10_final.stac-item
2021-07-30 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2021-07-30_final
2021-08-30 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2021-08-30_final
2021-10-21 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2021-10-21_final
2021-11-01 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2021-11-01_final
2021-12-10 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2021-12-10_final
2022-01-20 11:33:55	ga_s2bm_ard_3-2-1_51KVQ_2022-01-20_final
2022-02-02 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2022-02-02_final
2022-02-19 11:34:43	ga_s2bm_ard_3-2-1_50JRS_2022-02-19_final
2022-02-25 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-02-25_final
2022-04-29 12:04:21	ga_s2bm_ard_3-2-1_49KHP_2022-04-29_final
2022-05-02 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2022-05-02_final
2022-05-13 11:46:24	ga_s2bm_ard_3-2-1_50JML_2022-05-13_final
2022-06-02 11:44:51	ga_s2bm_ard_3-2-1_51JUL_2022-06-02_final
2022-07-19 11:34:34	ga_s2bm_ard_3-2-1_51JVN_2022-07-19_final
2022-08-05 11:25:10	ga_s2bm_ard_3-2-1_51JYK_2022-08-05_final
2022-10-07 11:36:14	ga_s2bm_ard_3-2-1_51JTF_2022-10-07_final.stac-item
2022-11-05 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2022-11-05_final.stac-item
2023-01-21 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2023-01-21_final.stac-item
2023-02-21 11:24:11	ga_s2bm_ard_3-2-1_51KXP_2023-02-21_final.stac-item
2023-03-13 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2023-03-13_final.stac-item
2023-03-25 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-03-25_final.stac-item
2023-06-01 11:24:41	ga_s2bm_ard_3-2-1_51JYM_2023-06-01_final.stac-item
2023-06-04 11:32:33	ga_s2bm_ard_3-2-1_51KWA_2023-06-04_final.stac-item
2023-06-04 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2023-06-04_final.stac-item
2023-06-26 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2023-06-26_final.stac-item
2023-07-07 11:43:49	ga_s2bm_ard_3-2-1_51KUR_2023-07-07_final.stac-item
2023-07-17 11:46:18	ga_s2bm_ard_3-2-1_50JMM_2023-07-17_final.stac-item
2023-08-22 12:05:48	ga_s2bm_ard_3-2-1_49JGJ_2023-08-22_final.stac-item
2023-09-08 11:52:38	ga_s2bm_ard_3-2-1_50KQF_2023-09-08_final.stac-item
2023-09-08 11:53:15	ga_s2bm_ard_3-2-1_50KRC_2023-09-08_final.stac-item
2023-10-15 11:43:24	ga_s2bm_ard_3-2-1_50KQC_2023-10-15_final.stac-item
2023-10-31 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-10-31_final.stac-item
2023-11-17 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2023-11-17_final.stac-item
2023-11-23 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2023-11-23_final.stac-item
2023-12-01 11:34:12	ga_s2bm_ard_3-2-1_51JXN_2023-12-01_final.stac-item
2024-01-07 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2024-01-07_final.stac-item
2024-02-29 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2024-02-29_final.stac-item
2024-04-28 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2024-04-28_final.stac-item
2024-05-09 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2024-05-09_final.stac-item
2024-05-11 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2024-05-11_interim.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