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
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HPG_2017-08-07_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HNJ_2017-09-16_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50JKN_2017-11-11_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51JTN_2017-12-25_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JKN_2018-01-20_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KUR_2018-02-03_final
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KUU_2018-02-13_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HQH_2018-04-11_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JNL_2018-04-17_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPH_2018-04-24_final
2018-06-30 11:27:56	ga_s2bm_ard_3-2-1_51KUT_2018-06-30_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HNH_2018-08-02_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-08-28_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HPK_2018-09-11_final
2018-10-24 11:43:41	ga_s2bm_ard_3-2-1_50KPC_2018-10-24_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUU_2018-10-31_final
2018-12-07 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2018-12-07_final
2018-12-07 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2018-12-07_final.stac-item
2018-12-10 11:43:37	ga_s2bm_ard_3-2-1_51KUR_2018-12-10_final
2018-12-10 11:44:21	ga_s2bm_ard_3-2-1_51JUN_2018-12-10_final
2019-01-09 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2019-01-09_final
2019-01-12 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2019-01-12_final.stac-item
2019-01-15 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2019-01-15_final
2019-01-19 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2019-01-19_final
2019-01-23 11:24:44	ga_s2bm_ard_3-2-1_51JWM_2019-01-23_final
2019-02-18 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2019-02-18_final
2019-02-18 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2019-02-18_final
2019-02-21 11:53:35	ga_s2bm_ard_3-2-1_50KPB_2019-02-21_final
2019-03-17 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2019-03-17_final
2019-05-25 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-25_final
2019-06-08 11:46:34	ga_s2bm_ard_3-2-1_50JML_2019-06-08_final
2019-07-24 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-07-24_final
2019-08-10 11:56:06	ga_s2bm_ard_3-2-1_50JKN_2019-08-10_final
2019-08-14 11:33:40	ga_s2bm_ard_3-2-1_51KUS_2019-08-14_final
2019-08-30 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2019-08-30_final.stac-item
2019-09-19 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2019-09-19_final
2019-10-23 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2019-10-23_final
2019-11-12 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2019-11-12_final
2019-11-22 11:34:00	ga_s2bm_ard_3-2-1_51KUQ_2019-11-22_final
2019-11-22 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2019-11-22_final
2019-11-25 11:43:14	ga_s2bm_ard_3-2-1_51KTT_2019-11-25_final
2019-12-16 11:16:35	ga_s2bm_ard_3-2-1_51HXD_2019-12-16_final
2019-12-22 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2019-12-22_final
2019-12-31 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2019-12-31_final
2020-02-06 11:53:05	ga_s2bm_ard_3-2-1_50KRC_2020-02-06_final
2020-03-14 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2020-03-14_final
2020-06-02 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2020-06-02_final
2020-07-19 11:36:15	ga_s2bm_ard_3-2-1_51JUF_2020-07-19_final
2020-08-11 11:45:45	ga_s2bm_ard_3-2-1_50JQN_2020-08-11_final
2020-08-14 11:53:14	ga_s2bm_ard_3-2-1_50KRC_2020-08-14_final
2020-09-07 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2020-09-07_final
2020-09-17 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2020-09-17_final
2020-09-30 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2020-09-30_final
2020-10-11 11:16:12	ga_s2bm_ard_3-2-1_51JYF_2020-10-11_final
2020-11-15 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2020-11-15_final
2020-12-12 11:52:31	ga_s2bm_ard_3-2-1_50KQF_2020-12-12_final.stac-item
2020-12-16 11:34:32	ga_s2bm_ard_3-2-1_51JTN_2020-12-16_final
2021-01-25 11:36:23	ga_s2bm_ard_3-2-1_51HVE_2021-01-25_final
2021-01-25 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2021-01-25_final
2021-04-15 11:34:21	ga_s2bm_ard_3-2-1_51JWN_2021-04-15_final
2021-05-14 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-05-14_final
2021-06-14 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2021-06-14_final
2021-06-14 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-06-14_final.stac-item
2021-06-24 11:36:05	ga_s2bm_ard_3-2-1_50JQM_2021-06-24_final
2021-06-30 11:55:17	ga_s2bm_ard_3-2-1_50JPQ_2021-06-30_final
2021-06-30 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2021-06-30_final
2021-07-24 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-07-24_final.stac-item
2021-08-29 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2021-08-29_final
2021-09-01 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2021-09-01_final
2021-10-25 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2021-10-25_final
2021-12-08 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2021-12-08_final
2021-12-11 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2021-12-11_final
2021-12-20 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2021-12-20_final
2022-02-28 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2022-02-28_final
2022-03-27 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2022-03-27_final.stac-item
2022-04-24 11:16:38	ga_s2bm_ard_3-2-1_51HWD_2022-04-24_final
2022-05-23 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2022-05-23_final
2022-05-23 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2022-05-23_final
2022-06-08 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2022-06-08_final
2022-06-21 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2022-06-21_final
2022-07-09 11:33:39	ga_s2bm_ard_3-2-1_51KUS_2022-07-09_final
2022-08-24 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2022-08-24_final
2022-09-03 11:55:11	ga_s2bm_ard_3-2-1_50JMR_2022-09-03_final.stac-item
2022-09-11 11:16:24	ga_s2bm_ard_3-2-1_51HYE_2022-09-11_final.stac-item
2022-10-16 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2022-10-16_final.stac-item
2022-11-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-11-08_final.stac-item
2022-12-19 11:44:30	ga_s2bm_ard_3-2-1_51JTN_2022-12-19_final.stac-item
2023-02-23 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2023-02-23_final.stac-item
2023-03-09 11:44:02	ga_s2bm_ard_3-2-1_51KUQ_2023-03-09_final.stac-item
2023-04-18 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2023-04-18_final.stac-item
2023-05-11 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2023-05-11_final.stac-item
2023-08-02 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-02_final.stac-item
2023-08-12 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-08-12_final.stac-item
2023-08-16 11:43:17	ga_s2bm_ard_3-2-1_50KRD_2023-08-16_final.stac-item
2023-08-30 11:26:37	ga_s2bm_ard_3-2-1_51HUE_2023-08-30_final.stac-item
2023-09-18 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2023-09-18_final.stac-item
2023-12-04 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2023-12-04_final.stac-item
2024-01-03 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2024-01-03_final.stac-item
2024-02-05 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2024-02-05_final.stac-item
2024-02-25 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2024-02-25_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