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
2017-08-02 10:53:14	ga_s2bm_ard_3-2-1_52JFR_2017-08-02_final
2017-09-07 11:12:07	ga_s2bm_ard_3-2-1_52KCB_2017-09-07_final
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53HLD_2017-11-14_final
2018-01-30 10:23:21	ga_s2bm_ard_3-2-1_53HPD_2018-01-30_final
2018-02-08 10:47:18	ga_s2bm_ard_3-2-1_53KKU_2018-02-08_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JUK_2018-02-20_final
2018-02-24 11:07:04	ga_s2bm_ard_3-2-1_52LGL_2018-02-24_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KYU_2018-03-02_final
2018-03-03 10:57:06	ga_s2bm_ard_3-2-1_52KEB_2018-03-03_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HVD_2018-04-28_final
2018-05-13 10:36:54	ga_s2bm_ard_3-2-1_53HPA_2018-05-13_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HMJ_2018-05-14_final
2018-05-22 10:57:13	ga_s2bm_ard_3-2-1_52KDU_2018-05-22_final
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_53JKM_2018-06-08_final
2018-06-09 10:26:11	ga_s2bm_ard_3-2-1_53HNB_2018-06-09_final
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_51HXE_2018-06-14_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HPK_2018-06-20_final
2018-07-19 10:22:47	ga_s2bm_ard_3-2-1_53HQB_2018-07-19_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JKM_2018-07-26_final
2018-08-11 10:36:08	ga_s2bm_ard_3-2-1_53HPA_2018-08-11_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JML_2018-10-04_final
2018-11-17 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2018-11-17_final
2018-12-04 11:22:43	ga_s2bm_ard_3-2-1_52KCD_2018-12-04_final
2019-02-02 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2019-02-02_final
2019-02-02 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2019-02-02_final
2019-05-25 12:05:17	ga_s2bm_ard_3-2-1_50JLR_2019-05-25_final
2019-07-13 10:55:33	ga_s2bm_ard_3-2-1_53JKH_2019-07-13_final
2019-07-15 11:33:18	ga_s2bm_ard_3-2-1_51KXT_2019-07-15_final
2019-07-29 11:14:14	ga_s2bm_ard_3-2-1_52KCU_2019-07-29_final
2019-08-08 11:13:26	ga_s2bm_ard_3-2-1_52KDB_2019-08-08_final
2019-09-03 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2019-09-03_final
2019-10-13 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2019-10-13_final
2019-11-02 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2019-11-02_final
2019-12-12 11:32:49	ga_s2bm_ard_3-2-1_51KXU_2019-12-12_final
2019-12-13 11:03:29	ga_s2bm_ard_3-2-1_52KEA_2019-12-13_final
2020-01-18 11:26:41	ga_s2bm_ard_3-2-1_51HUD_2020-01-18_final
2020-01-30 12:05:33	ga_s2bm_ard_3-2-1_50JKP_2020-01-30_final
2020-03-02 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2020-03-02_final
2020-03-14 11:45:22	ga_s2bm_ard_3-2-1_50JNQ_2020-03-14_final
2020-03-31 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2020-03-31_final
2020-04-07 11:24:16	ga_s2bm_ard_3-2-1_51JZN_2020-04-07_final
2020-04-29 10:26:50	ga_s2bm_ard_3-2-1_53HNB_2020-04-29_final
2020-05-22 10:34:14	ga_s2bm_ard_3-2-1_53JRM_2020-05-22_final
2020-06-12 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2020-06-12_final
2020-06-26 11:24:00	ga_s2bm_ard_3-2-1_51KXQ_2020-06-26_final
2020-08-26 10:54:51	ga_s2bm_ard_3-2-1_52JFR_2020-08-26_final
2020-09-16 10:26:56	ga_s2bm_ard_3-2-1_53HNB_2020-09-16_final
2020-12-13 11:22:09	ga_s2bm_ard_3-2-1_51KYB_2020-12-13_final
2020-12-13 11:22:52	ga_s2bm_ard_3-2-1_51KYU_2020-12-13_final
2020-12-13 11:23:13	ga_s2bm_ard_3-2-1_52KCB_2020-12-13_final
2021-02-17 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2021-02-17_final
2021-03-11 10:42:51	ga_s2bm_ard_3-2-1_53KMT_2021-03-11_final
2021-03-19 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2021-03-19_final
2021-03-22 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-03-22_final
2021-03-24 10:52:14	ga_s2bm_ard_3-2-1_53KKA_2021-03-24_final
2021-04-12 11:23:15	ga_s2bm_ard_3-2-1_51KYS_2021-04-12_final
2021-06-05 11:02:59	ga_s2bm_ard_3-2-1_52KGC_2021-06-05_final
2021-07-13 10:26:24	ga_s2bm_ard_3-2-1_53HPD_2021-07-13_final
2021-07-13 12:04:22	ga_s2bm_ard_3-2-1_50KKV_2021-07-13_final
2021-07-21 11:25:22	ga_s2bm_ard_3-2-1_51JYJ_2021-07-21_final
2021-09-02 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2021-09-02_final
2021-09-17 10:43:51	ga_s2bm_ard_3-2-1_53KMP_2021-09-17_final
2021-11-08 11:23:25	ga_s2bm_ard_3-2-1_51KYS_2021-11-08_final
2021-12-11 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2021-12-11_final
2022-01-31 11:03:40	ga_s2bm_ard_3-2-1_52KFV_2022-01-31_final
2022-02-01 10:36:44	ga_s2bm_ard_3-2-1_53HNB_2022-02-01_final
2022-02-02 11:43:41	ga_s2bm_ard_3-2-1_51KTR_2022-02-02_final
2022-03-01 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2022-03-01_final
2022-03-02 11:00:45	ga_s2bm_ard_3-2-1_52LGM_2022-03-02_final
2022-04-05 10:44:54	ga_s2bm_ard_3-2-1_53JKK_2022-04-05_final
2022-04-17 11:25:56	ga_s2bm_ard_3-2-1_51JVG_2022-04-17_final
2022-05-09 10:26:37	ga_s2bm_ard_3-2-1_53HNC_2022-05-09_final
2022-05-10 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2022-05-10_final
2022-05-18 10:55:03	ga_s2bm_ard_3-2-1_53JKJ_2022-05-18_final
2022-06-08 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2022-06-08_final
2022-07-24 10:46:29	ga_s2bm_ard_3-2-1_53HLD_2022-07-24_final
2022-09-03 11:55:17	ga_s2bm_ard_3-2-1_50JPQ_2022-09-03_final.stac-item
2022-09-12 10:44:05	ga_s2bm_ard_3-2-1_53JPN_2022-09-12_final.stac-item
2022-10-01 11:12:28	ga_s2bm_ard_3-2-1_52KFE_2022-10-01_final.stac-item
2022-10-30 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2022-10-30_final.stac-item
2022-11-29 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2022-11-29_final.stac-item
2022-12-17 11:02:09	ga_s2bm_ard_3-2-1_53KKA_2022-12-17_final.stac-item
2022-12-30 11:13:28	ga_s2bm_ard_3-2-1_51KZS_2022-12-30_final.stac-item
2023-03-26 11:31:09	ga_s2bm_ard_3-2-1_51LZF_2023-03-26_nrt.stac-item
2023-05-02 11:21:12	ga_s2bm_ard_3-2-1_52LBL_2023-05-02_nrt.stac-item
2023-05-06 11:02:57	ga_s2bm_ard_3-2-1_52KHC_2023-05-06_final.stac-item
2023-05-06 11:06:09	ga_s2bm_ard_3-2-1_52JCL_2023-05-06_final.stac-item
2023-05-10 10:46:01	ga_s2bm_ard_3-2-1_53JKF_2023-05-10_final.stac-item
2023-05-19 11:12:44	ga_s2bm_ard_3-2-1_52KFD_2023-05-19_final.stac-item
2023-07-09 10:46:05	ga_s2bm_ard_3-2-1_52JGL_2023-07-09_final.stac-item
2023-09-19 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2023-09-19_final.stac-item
2023-11-28 11:24:29	ga_s2bm_ard_3-2-1_51JZM_2023-11-28_final.stac-item
2023-11-30 10:26:43	ga_s2bm_ard_3-2-1_53HQB_2023-11-30_final.stac-item
2023-12-27 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2023-12-27_final.stac-item
2024-01-21 11:02:39	ga_s2bm_ard_3-2-1_53KKU_2024-01-21_final.stac-item
2024-02-07 10:52:14	ga_s2bm_ard_3-2-1_53KKA_2024-02-07_final.stac-item
2024-03-08 10:55:48	ga_s2bm_ard_3-2-1_53JKF_2024-03-08_final.stac-item
2024-03-10 11:35:22	ga_s2bm_ard_3-2-1_51JVJ_2024-03-10_final.stac-item
2024-03-20 11:34:36	ga_s2bm_ard_3-2-1_51JTN_2024-03-20_final.stac-item
2024-03-21 11:02:30	ga_s2bm_ard_3-2-1_52KGE_2024-03-21_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