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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KUS_2017-08-27_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50HLK_2017-11-08_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51LUF_2017-11-15_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-01-30_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HQK_2018-02-10_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2018-03-04_final
2018-03-19 11:26:26	ga_s2bm_ard_3-2-1_51HVD_2018-03-19_final
2018-03-23 11:05:39	ga_s2bm_ard_3-2-1_52HDK_2018-03-23_final.stac-item
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUR_2018-03-25_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HNG_2018-05-04_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2018-06-09_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KXV_2018-08-09_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KHP_2018-08-18_final
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KUR_2018-08-22_final
2018-09-02 11:14:34	ga_s2bm_ard_3-2-1_51JYF_2018-09-02_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KUV_2018-09-11_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50JKT_2018-09-27_final
2018-11-04 11:25:08	ga_s2bm_ard_3-2-1_51HXE_2018-11-04_final
2018-11-18 11:05:34	ga_s2bm_ard_3-2-1_52JCN_2018-11-18_final
2019-02-08 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-02-08_final
2019-04-25 12:04:35	ga_s2bm_ard_3-2-1_49KHP_2019-04-25_final
2019-07-25 11:32:05	ga_s2bm_ard_3-2-1_51LXC_2019-07-25_final
2019-07-25 11:36:40	ga_s2bm_ard_3-2-1_51HTE_2019-07-25_final
2019-09-07 11:14:10	ga_s2bm_ard_3-2-1_52JET_2019-09-07_final
2019-10-23 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2019-10-23_final
2019-11-25 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2019-11-25_final
2019-12-15 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2019-12-15_final
2020-01-17 11:52:28	ga_s2bm_ard_3-2-1_50KQF_2020-01-17_final.stac-item
2020-04-03 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2020-04-03_final
2020-05-27 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2020-05-27_final
2020-06-29 11:36:16	ga_s2bm_ard_3-2-1_51JUF_2020-06-29_final
2020-06-29 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2020-06-29_final
2020-07-02 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2020-07-02_final
2020-07-10 11:04:45	ga_s2bm_ard_3-2-1_52JFR_2020-07-10_final
2020-07-12 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2020-07-12_final
2020-09-17 11:34:27	ga_s2bm_ard_3-2-1_51JWN_2020-09-17_final
2020-11-19 11:43:22	ga_s2bm_ard_3-2-1_50KQC_2020-11-19_final
2021-02-04 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2021-02-04_final
2021-02-10 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-02-10_final
2021-04-04 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2021-04-04_final
2021-05-08 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2021-05-08_final
2021-05-11 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-05-11_final
2021-06-18 11:15:35	ga_s2bm_ard_3-2-1_52JBN_2021-06-18_final
2021-07-27 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2021-07-27_final
2021-08-10 11:26:01	ga_s2bm_ard_3-2-1_51JVG_2021-08-10_final
2021-08-11 10:54:48	ga_s2bm_ard_3-2-1_52JFR_2021-08-11_final
2021-08-22 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2021-08-22_final
2021-08-25 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-08-25_final
2021-10-18 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2021-10-18_final
2021-11-05 11:14:24	ga_s2bm_ard_3-2-1_52JBT_2021-11-05_final
2021-11-17 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-11-17_final.stac-item
2021-11-30 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2021-11-30_final
2021-12-27 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2021-12-27_final
2021-12-29 10:55:40	ga_s2bm_ard_3-2-1_52JFM_2021-12-29_final
2022-01-27 11:24:09	ga_s2bm_ard_3-2-1_51KWP_2022-01-27_final
2022-03-11 11:31:40	ga_s2bm_ard_3-2-1_51LXD_2022-03-11_final
2022-03-14 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2022-03-14_final
2022-04-02 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2022-04-02_final
2022-04-18 10:54:29	ga_s2bm_ard_3-2-1_52JFS_2022-04-18_final
2022-04-26 11:53:04	ga_s2bm_ard_3-2-1_50KRC_2022-04-26_final
2022-04-26 11:55:58	ga_s2bm_ard_3-2-1_50JNM_2022-04-26_final
2022-05-03 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2022-05-03_final
2022-06-29 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2022-06-29_final
2022-07-12 11:43:48	ga_s2bm_ard_3-2-1_51KUR_2022-07-12_final
2022-08-17 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2022-08-17_final
2022-08-25 11:27:08	ga_s2bm_ard_3-2-1_51HTC_2022-08-25_final
2022-12-20 11:14:08	ga_s2bm_ard_3-2-1_51KZP_2022-12-20_final.stac-item
2023-02-26 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-02-26_final.stac-item
2023-03-09 11:44:02	ga_s2bm_ard_3-2-1_51KUQ_2023-03-09_final.stac-item
2023-03-19 11:45:36	ga_s2bm_ard_3-2-1_50JQP_2023-03-19_final.stac-item
2023-03-26 11:34:39	ga_s2bm_ard_3-2-1_51JTN_2023-03-26_final.stac-item
2023-03-29 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2023-03-29_final.stac-item
2023-03-30 11:16:23	ga_s2bm_ard_3-2-1_51JWF_2023-03-30_final.stac-item
2023-04-24 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2023-04-24_final.stac-item
2023-05-05 11:34:17	ga_s2bm_ard_3-2-1_51KVP_2023-05-05_final.stac-item
2023-05-15 11:32:44	ga_s2bm_ard_3-2-1_51KXV_2023-05-15_final.stac-item
2023-05-15 11:34:18	ga_s2bm_ard_3-2-1_51KVP_2023-05-15_final.stac-item
2023-05-24 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-05-24_final.stac-item
2023-07-01 11:25:29	ga_s2bm_ard_3-2-1_51JXJ_2023-07-01_final.stac-item
2023-07-04 11:35:46	ga_s2bm_ard_3-2-1_51JVH_2023-07-04_final.stac-item
2023-07-07 11:41:03	ga_s2bm_ard_3-2-1_51LWG_2023-07-07_final.stac-item
2023-08-16 11:46:06	ga_s2bm_ard_3-2-1_50JQM_2023-08-16_final.stac-item
2023-08-30 11:24:27	ga_s2bm_ard_3-2-1_51JYN_2023-08-30_final.stac-item
2023-09-15 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2023-09-15_final.stac-item
2023-09-22 11:33:06	ga_s2bm_ard_3-2-1_51KYT_2023-09-22_final.stac-item
2023-09-30 10:54:18	ga_s2bm_ard_3-2-1_52JFT_2023-09-30_final.stac-item
2023-10-12 11:34:39	ga_s2bm_ard_3-2-1_50JRT_2023-10-12_final.stac-item
2023-10-22 11:36:16	ga_s2bm_ard_3-2-1_51JUF_2023-10-22_final.stac-item
2023-11-11 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2023-11-11_final.stac-item
2023-12-27 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-12-27_final.stac-item
2024-01-17 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2024-01-17_final.stac-item
2024-02-03 11:14:35	ga_s2bm_ard_3-2-1_51JZM_2024-02-03_final.stac-item
2024-02-12 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2024-02-12_final.stac-item
2024-02-19 11:32:08	ga_s2bm_ard_3-2-1_51KYB_2024-02-19_final.stac-item
2024-02-25 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2024-02-25_final.stac-item
2024-03-17 11:22:59	ga_s2bm_ard_3-2-1_51KXU_2024-03-17_final.stac-item
2024-03-24 11:14:24	ga_s2bm_ard_3-2-1_52JBT_2024-03-24_final.stac-item
2024-04-12 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-04-12_final.stac-item
2024-04-19 11:31:59	ga_s2bm_ard_3-2-1_51LXC_2024-04-19_final.stac-item
2024-05-02 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2024-05-02_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