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
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_51KUB_2017-10-06_final.stac-item
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_51KVU_2017-10-26_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KXQ_2017-11-22_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50KRD_2017-11-25_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KVS_2017-12-12_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KXS_2017-12-12_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPK_2018-01-11_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KVR_2018-03-02_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JLM_2018-04-10_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HNG_2018-04-11_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNN_2018-07-03_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_51HWC_2018-08-03_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50HMG_2018-08-05_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50KMC_2018-09-14_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50JML_2018-10-21_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KVT_2018-10-31_final
2018-11-24 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2018-11-24_final
2018-12-07 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2018-12-07_final
2018-12-17 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2018-12-17_final
2019-01-09 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2019-01-09_final
2019-01-16 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2019-01-16_final
2019-03-17 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2019-03-17_final
2019-03-24 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2019-03-24_final
2019-03-30 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2019-03-30_final.stac-item
2019-05-16 11:33:39	ga_s2bm_ard_3-2-1_51KVS_2019-05-16_final
2019-07-18 11:43:44	ga_s2bm_ard_3-2-1_51KVR_2019-07-18_final
2019-07-31 11:53:11	ga_s2bm_ard_3-2-1_50KQD_2019-07-31_final.stac-item
2019-08-30 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2019-08-30_final
2019-11-05 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2019-11-05_final
2020-01-01 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2020-01-01_final
2020-01-04 11:44:26	ga_s2bm_ard_3-2-1_51JTN_2020-01-04_final
2020-01-31 11:33:08	ga_s2bm_ard_3-2-1_51KVT_2020-01-31_final
2020-01-31 11:33:16	ga_s2bm_ard_3-2-1_51KXS_2020-01-31_final
2020-02-09 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2020-02-09_final
2020-02-14 11:13:49	ga_s2bm_ard_3-2-1_51KZQ_2020-02-14_final
2020-02-20 11:36:07	ga_s2bm_ard_3-2-1_51JTF_2020-02-20_final
2020-03-21 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2020-03-21_final
2020-05-03 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2020-05-03_final
2020-06-19 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-06-19_final
2020-07-19 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2020-07-19_final
2020-08-11 11:45:45	ga_s2bm_ard_3-2-1_50JQN_2020-08-11_final
2020-10-07 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2020-10-07_final
2020-10-24 11:26:51	ga_s2bm_ard_3-2-1_51HXC_2020-10-24_final.stac-item
2020-10-30 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2020-10-30_final
2020-11-02 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2020-11-02_final
2020-11-06 11:32:49	ga_s2bm_ard_3-2-1_51KVV_2020-11-06_final
2020-11-29 11:44:25	ga_s2bm_ard_3-2-1_51JTN_2020-11-29_final
2020-12-06 11:34:34	ga_s2bm_ard_3-2-1_51JTN_2020-12-06_final
2020-12-13 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2020-12-13_final
2020-12-16 11:32:54	ga_s2bm_ard_3-2-1_51KWU_2020-12-16_final
2020-12-29 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2020-12-29_final
2020-12-29 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2020-12-29_final
2020-12-29 11:44:25	ga_s2bm_ard_3-2-1_51JUN_2020-12-29_final
2021-01-05 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2021-01-05_final
2021-01-15 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-01-15_final
2021-01-15 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2021-01-15_final
2021-01-25 11:36:23	ga_s2bm_ard_3-2-1_51HVE_2021-01-25_final
2021-01-25 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-01-25_final
2021-02-20 11:52:35	ga_s2bm_ard_3-2-1_50KPF_2021-02-20_final.stac-item
2021-04-08 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2021-04-08_final
2021-04-25 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2021-04-25_final.stac-item
2021-05-08 11:42:14	ga_s2bm_ard_3-2-1_51KUB_2021-05-08_final.stac-item
2021-05-28 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2021-05-28_final
2021-07-04 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2021-07-04_final
2021-07-14 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2021-07-14_final.stac-item
2021-07-27 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2021-07-27_final.stac-item
2021-08-23 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2021-08-23_final
2021-10-02 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-10-02_final
2021-10-02 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2021-10-02_final
2021-11-04 11:44:17	ga_s2bm_ard_3-2-1_50KRU_2021-11-04_final
2021-12-01 11:32:58	ga_s2bm_ard_3-2-1_51KYT_2021-12-01_final
2021-12-04 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2021-12-04_final
2021-12-11 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2021-12-11_final
2022-02-12 11:44:07	ga_s2bm_ard_3-2-1_51KUP_2022-02-12_final
2022-02-22 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2022-02-22_final
2022-04-03 11:44:42	ga_s2bm_ard_3-2-1_50JRS_2022-04-03_final
2022-05-24 11:14:29	ga_s2bm_ard_3-2-1_51JYN_2022-05-24_final
2022-06-19 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2022-06-19_final
2022-08-05 11:23:00	ga_s2bm_ard_3-2-1_51KYU_2022-08-05_final
2022-10-27 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2022-10-27_final.stac-item
2022-12-29 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2022-12-29_final.stac-item
2023-01-15 11:32:11	ga_s2bm_ard_3-2-1_51KWB_2023-01-15_final.stac-item
2023-02-17 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2023-02-17_final.stac-item
2023-02-21 11:25:52	ga_s2bm_ard_3-2-1_51JXG_2023-02-21_final.stac-item
2023-02-27 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2023-02-27_final.stac-item
2023-03-09 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2023-03-09_final.stac-item
2023-03-26 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2023-03-26_final.stac-item
2023-03-29 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2023-03-29_final.stac-item
2023-05-04 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-05-04_final.stac-item
2023-05-12 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2023-05-12_final.stac-item
2023-05-15 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2023-05-15_final.stac-item
2023-07-11 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2023-07-11_final.stac-item
2023-10-25 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2023-10-25_final.stac-item
2023-12-24 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2023-12-24_final.stac-item
2023-12-31 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2023-12-31_final.stac-item
2024-01-13 11:42:15	ga_s2bm_ard_3-2-1_51KUB_2024-01-13_final.stac-item
2024-02-02 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2024-02-02_final.stac-item
2024-02-19 11:32:08	ga_s2bm_ard_3-2-1_51KYB_2024-02-19_final.stac-item
2024-04-02 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2024-04-02_final.stac-item
2024-04-29 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2024-04-29_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