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 11:38:33	ga_s2bm_ard_3-2-1_51KVV_2017-08-07_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KXU_2017-09-03_final
2017-09-25 10:31:57	ga_s2bm_ard_3-2-1_53JNN_2017-09-25_final
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_51JYK_2017-11-06_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JFP_2018-01-12_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JTN_2018-02-20_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KXQ_2018-04-28_final
2018-05-15 11:07:36	ga_s2bm_ard_3-2-1_52KEB_2018-05-15_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50KLC_2018-05-20_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KYT_2018-06-10_final
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_53JNN_2018-07-25_final
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KUU_2018-08-22_final
2018-09-02 11:09:38	ga_s2bm_ard_3-2-1_52KBC_2018-09-02_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KUT_2018-09-08_final
2018-10-02 11:12:46	ga_s2bm_ard_3-2-1_52JDT_2018-10-02_final
2018-12-20 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2018-12-20_final
2019-02-05 11:32:51	ga_s2bm_ard_3-2-1_51KYU_2019-02-05_final
2019-03-04 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2019-03-04_final
2019-03-20 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2019-03-20_final
2019-04-27 11:06:31	ga_s2bm_ard_3-2-1_52HBK_2019-04-27_final
2019-05-10 11:13:19	ga_s2bm_ard_3-2-1_52KCC_2019-05-10_final
2019-05-11 10:44:36	ga_s2bm_ard_3-2-1_53JPL_2019-05-11_final
2019-05-28 10:34:41	ga_s2bm_ard_3-2-1_53JQL_2019-05-28_final
2019-06-09 11:14:37	ga_s2bm_ard_3-2-1_51JYN_2019-06-09_final
2019-06-22 11:23:14	ga_s2bm_ard_3-2-1_52KBC_2019-06-22_final
2019-06-25 11:32:54	ga_s2bm_ard_3-2-1_51KXV_2019-06-25_final
2019-08-21 11:23:30	ga_s2bm_ard_3-2-1_51KYS_2019-08-21_final
2019-09-03 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2019-09-03_final
2019-09-12 10:26:33	ga_s2bm_ard_3-2-1_53HQC_2019-09-12_final
2019-11-12 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2019-11-12_final
2019-11-22 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2019-11-22_final
2019-12-30 10:55:37	ga_s2bm_ard_3-2-1_52JGM_2019-12-30_final
2020-02-01 11:03:46	ga_s2bm_ard_3-2-1_52KDV_2020-02-01_final
2020-02-20 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2020-02-20_final
2020-02-23 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2020-02-23_final
2020-03-08 11:26:34	ga_s2bm_ard_3-2-1_51HXD_2020-03-08_final
2020-06-09 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2020-06-09_final
2020-06-22 11:46:15	ga_s2bm_ard_3-2-1_50JMM_2020-06-22_final
2020-08-13 10:43:51	ga_s2bm_ard_3-2-1_53KPP_2020-08-13_final
2020-09-20 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2020-09-20_final
2020-12-06 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2020-12-06_final
2020-12-16 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2020-12-16_final
2021-01-02 11:26:21	ga_s2bm_ard_3-2-1_51HXE_2021-01-02_final
2021-01-08 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2021-01-08_final
2021-01-09 11:13:29	ga_s2bm_ard_3-2-1_52KEA_2021-01-09_final
2021-01-14 12:05:08	ga_s2bm_ard_3-2-1_50JLR_2021-01-14_final
2021-01-27 10:33:59	ga_s2bm_ard_3-2-1_53JRN_2021-01-27_final
2021-02-06 10:34:13	ga_s2bm_ard_3-2-1_53JRM_2021-02-06_final
2021-02-14 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2021-02-14_final
2021-03-29 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2021-03-29_final
2021-04-07 10:33:57	ga_s2bm_ard_3-2-1_53JRN_2021-04-07_final
2021-04-08 11:46:04	ga_s2bm_ard_3-2-1_50JPM_2021-04-08_final
2021-04-12 11:23:14	ga_s2bm_ard_3-2-1_51KZS_2021-04-12_final
2021-05-09 11:13:17	ga_s2bm_ard_3-2-1_52KDB_2021-05-09_final
2021-07-01 11:23:07	ga_s2bm_ard_3-2-1_52KBC_2021-07-01_final
2021-07-21 11:23:22	ga_s2bm_ard_3-2-1_52KBB_2021-07-21_final
2021-07-29 10:44:23	ga_s2bm_ard_3-2-1_53JNM_2021-07-29_final
2021-08-19 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-08-19_final
2021-08-23 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2021-08-23_final
2021-09-03 11:03:31	ga_s2bm_ard_3-2-1_52KEA_2021-09-03_final
2021-10-19 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2021-10-19_final
2021-11-06 10:43:52	ga_s2bm_ard_3-2-1_53KPP_2021-11-06_final
2021-12-11 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2021-12-11_final
2022-01-10 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2022-01-10_final
2022-02-21 10:35:35	ga_s2bm_ard_3-2-1_53JMG_2022-02-21_final
2022-02-23 11:12:15	ga_s2bm_ard_3-2-1_52KDF_2022-02-23_final
2022-03-21 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2022-03-21_final
2022-04-02 10:33:56	ga_s2bm_ard_3-2-1_53JRN_2022-04-02_final
2022-04-15 10:44:55	ga_s2bm_ard_3-2-1_53JNJ_2022-04-15_final
2022-08-02 11:13:53	ga_s2bm_ard_3-2-1_52KDV_2022-08-02_final
2022-08-23 10:43:49	ga_s2bm_ard_3-2-1_53KPP_2022-08-23_final
2022-09-08 11:05:21	ga_s2bm_ard_3-2-1_52JDP_2022-09-08_final.stac-item
2022-10-10 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2022-10-10_final.stac-item
2022-10-27 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2022-10-27_final.stac-item
2022-11-12 13:31:32	ga_s2bm_ard_3-2-1_47LKH_2022-11-12_interim.stac-item
2022-11-16 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2022-11-16_final.stac-item
2022-12-07 11:00:27	ga_s2bm_ard_3-2-1_52LHN_2022-12-07_final.stac-item
2023-02-10 10:17:03	ga_s2bm_ard_3-2-1_53HQA_2023-02-10_final.stac-item
2023-02-15 11:03:33	ga_s2bm_ard_3-2-1_52KEA_2023-02-15_final.stac-item
2023-04-19 11:11:21	ga_s2bm_ard_3-2-1_52LEK_2023-04-19_final.stac-item
2023-05-28 11:42:00	ga_s2bm_ard_3-2-1_51LWC_2023-05-28_final.stac-item
2023-06-01 11:23:10	ga_s2bm_ard_3-2-1_52KBC_2023-06-01_final.stac-item
2023-06-03 10:24:44	ga_s2bm_ard_3-2-1_53JQL_2023-06-03_final.stac-item
2023-06-04 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2023-06-04_final.stac-item
2023-07-17 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-07-17_final.stac-item
2023-07-30 11:56:13	ga_s2bm_ard_3-2-1_50JMM_2023-07-30_final.stac-item
2023-08-10 11:23:12	ga_s2bm_ard_3-2-1_52KBC_2023-08-10_final.stac-item
2023-08-18 10:45:19	ga_s2bm_ard_3-2-1_53JKJ_2023-08-18_final.stac-item
2023-09-12 11:32:23	ga_s2bm_ard_3-2-1_51KVB_2023-09-12_final.stac-item
2023-10-12 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2023-10-12_final.stac-item
2023-10-24 10:33:54	ga_s2bm_ard_3-2-1_53KPP_2023-10-24_final.stac-item
2023-11-16 10:43:47	ga_s2bm_ard_3-2-1_53KPP_2023-11-16_final.stac-item
2023-11-20 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2023-11-20_final.stac-item
2023-12-10 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2023-12-10_final.stac-item
2023-12-31 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2023-12-31_final.stac-item
2024-01-27 11:25:51	ga_s2bm_ard_3-2-1_51JXG_2024-01-27_final.stac-item
2024-02-11 10:34:00	ga_s2bm_ard_3-2-1_53JRN_2024-02-11_final.stac-item
2024-02-18 10:24:16	ga_s2bm_ard_3-2-1_53JRM_2024-02-18_final.stac-item
2024-03-17 11:23:19	ga_s2bm_ard_3-2-1_52KBB_2024-03-17_final.stac-item
2024-04-19 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2024-04-19_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