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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_50JPL_2017-07-05_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KVS_2017-08-27_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_51KVU_2017-10-26_final
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50HMG_2017-12-18_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KUT_2018-01-04_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPH_2018-01-11_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HPK_2018-01-14_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HMH_2018-02-16_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50KPF_2018-02-26_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51KUU_2018-03-15_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUT_2018-03-25_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JLM_2018-04-10_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KVT_2018-04-11_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_51HTC_2018-04-11_final
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51KVA_2018-05-14_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KVS_2018-06-03_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HPJ_2018-07-03_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_51KUV_2018-07-13_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51KVA_2018-10-01_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KUB_2018-10-21_final.stac-item
2018-11-17 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2018-11-17_final
2018-11-27 11:34:10	ga_s2bm_ard_3-2-1_51KVP_2018-11-27_final
2018-12-10 11:44:12	ga_s2bm_ard_3-2-1_50KRU_2018-12-10_final
2018-12-17 11:34:26	ga_s2bm_ard_3-2-1_51JUN_2018-12-17_final
2018-12-20 11:44:26	ga_s2bm_ard_3-2-1_50JRT_2018-12-20_final
2019-01-06 11:34:27	ga_s2bm_ard_3-2-1_51JVN_2019-01-06_final
2019-01-22 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2019-01-22_final
2019-01-29 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2019-01-29_final
2019-01-29 11:44:31	ga_s2bm_ard_3-2-1_51JTN_2019-01-29_final
2019-02-18 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2019-02-18_final
2019-03-26 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2019-03-26_final
2019-04-29 11:43:11	ga_s2bm_ard_3-2-1_51KTU_2019-04-29_final
2019-06-18 11:43:08	ga_s2bm_ard_3-2-1_51KUU_2019-06-18_final
2019-09-06 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2019-09-06_final
2019-10-16 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2019-10-16_final
2019-11-15 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2019-11-15_final
2019-11-25 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2019-11-25_final
2019-12-05 11:44:07	ga_s2bm_ard_3-2-1_51KUP_2019-12-05_final
2019-12-05 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2019-12-05_final
2019-12-25 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2019-12-25_final
2020-01-14 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-01-14_final
2020-01-24 11:43:08	ga_s2bm_ard_3-2-1_50KQC_2020-01-24_final
2020-02-03 11:42:39	ga_s2bm_ard_3-2-1_51KUV_2020-02-03_final
2020-02-13 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2020-02-13_final.stac-item
2020-05-09 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2020-05-09_final
2020-05-16 11:53:02	ga_s2bm_ard_3-2-1_50KQD_2020-05-16_final.stac-item
2020-06-29 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-06-29_final
2020-07-02 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2020-07-02_final
2020-08-01 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2020-08-01_final
2020-08-31 11:42:20	ga_s2bm_ard_3-2-1_51KUB_2020-08-31_final.stac-item
2020-10-30 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2020-10-30_final
2020-11-09 11:44:32	ga_s2bm_ard_3-2-1_51JTN_2020-11-09_final
2020-11-16 11:34:18	ga_s2bm_ard_3-2-1_51KUP_2020-11-16_final
2020-12-19 11:44:27	ga_s2bm_ard_3-2-1_51JTN_2020-12-19_final
2021-01-22 11:24:32	ga_s2bm_ard_3-2-1_51JZM_2021-01-22_final
2021-03-15 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-03-15_final
2021-03-29 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-03-29_final
2021-04-04 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2021-04-04_final
2021-06-17 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-06-17_final
2021-06-27 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2021-06-27_final
2021-07-27 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2021-07-27_final
2021-08-20 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2021-08-20_final
2021-09-12 11:34:39	ga_s2bm_ard_3-2-1_51JVM_2021-09-12_final
2021-11-08 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2021-11-08_final
2021-12-07 11:53:27	ga_s2bm_ard_3-2-1_50KQB_2021-12-07_final
2022-02-22 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2022-02-22_final
2022-02-25 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2022-02-25_final
2022-03-31 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2022-03-31_final
2022-07-09 11:32:24	ga_s2bm_ard_3-2-1_51KVB_2022-07-09_final
2022-10-13 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2022-10-13_final.stac-item
2022-10-20 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2022-10-20_final.stac-item
2022-10-30 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2022-10-30_final.stac-item
2022-11-02 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2022-11-02_final.stac-item
2022-11-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2022-11-18_final.stac-item
2022-11-20 11:15:10	ga_s2bm_ard_3-2-1_51JYK_2022-11-20_final.stac-item
2022-11-20 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2022-11-20_final.stac-item
2022-12-06 11:34:00	ga_s2bm_ard_3-2-1_51KUQ_2022-12-06_final.stac-item
2022-12-16 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2022-12-16_final.stac-item
2023-02-07 11:44:11	ga_s2bm_ard_3-2-1_51KUP_2023-02-07_final.stac-item
2023-02-17 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2023-02-17_final.stac-item
2023-02-20 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2023-02-20_final.stac-item
2023-03-19 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2023-03-19_final.stac-item
2023-04-08 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2023-04-08_final.stac-item
2023-06-11 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2023-06-11_final.stac-item
2023-06-13 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2023-06-13_final.stac-item
2023-06-23 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2023-06-23_final.stac-item
2023-07-04 11:34:05	ga_s2bm_ard_3-2-1_51KVQ_2023-07-04_final.stac-item
2023-07-27 11:43:24	ga_s2bm_ard_3-2-1_51KTT_2023-07-27_final.stac-item
2023-08-12 12:05:57	ga_s2bm_ard_3-2-1_50JLN_2023-08-12_final.stac-item
2023-08-16 11:42:19	ga_s2bm_ard_3-2-1_51KVB_2023-08-16_final.stac-item
2023-09-09 11:27:06	ga_s2bm_ard_3-2-1_51HUC_2023-09-09_final.stac-item
2023-11-10 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-11-10_final.stac-item
2023-12-07 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2023-12-07_final.stac-item
2023-12-13 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2023-12-13_final.stac-item
2023-12-21 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2023-12-21_final.stac-item
2024-01-03 11:44:13	ga_s2bm_ard_3-2-1_51KUP_2024-01-03_final.stac-item
2024-01-30 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2024-01-30_final.stac-item
2024-02-02 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2024-02-02_final.stac-item
2024-02-05 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2024-02-05_final.stac-item
2024-03-27 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2024-03-27_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