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_51KUT_2017-07-05_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KXU_2017-09-03_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KYT_2017-10-13_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_52KBD_2017-12-19_final
2017-12-19 11:25:05	ga_s2bm_ard_3-2-1_51HUC_2017-12-19_final
2017-12-27 10:42:55	ga_s2bm_ard_3-2-1_53JPM_2017-12-27_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51KYT_2018-02-07_final
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_51KZP_2018-03-09_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KVT_2018-03-12_final
2018-04-21 11:26:19	ga_s2bm_ard_3-2-1_51KXT_2018-04-21_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KEB_2018-05-12_final
2018-06-01 11:03:31	ga_s2bm_ard_3-2-1_52JBM_2018-06-01_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KYT_2018-06-17_final
2018-10-11 11:39:55	ga_s2bm_ard_3-2-1_51LUF_2018-10-11_final
2018-11-17 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2018-11-17_final
2018-12-17 11:32:56	ga_s2bm_ard_3-2-1_51KYT_2018-12-17_final
2018-12-30 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2018-12-30_final
2019-01-15 10:26:47	ga_s2bm_ard_3-2-1_53HNB_2019-01-15_final
2019-02-09 11:10:43	ga_s2bm_ard_3-2-1_52LGM_2019-02-09_final
2019-03-11 11:13:09	ga_s2bm_ard_3-2-1_52KDC_2019-03-11_final
2019-03-26 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2019-03-26_final
2019-04-02 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2019-04-02_final
2019-04-03 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2019-04-03_final
2019-04-10 11:13:16	ga_s2bm_ard_3-2-1_52KDB_2019-04-10_final
2019-04-29 11:45:40	ga_s2bm_ard_3-2-1_50JQP_2019-04-29_final
2019-05-07 11:03:28	ga_s2bm_ard_3-2-1_52KEB_2019-05-07_final
2019-06-15 11:36:45	ga_s2bm_ard_3-2-1_50HPK_2019-06-15_final
2019-07-29 11:14:39	ga_s2bm_ard_3-2-1_51JZM_2019-07-29_final
2019-08-01 11:23:28	ga_s2bm_ard_3-2-1_52KBB_2019-08-01_final
2019-08-28 11:17:03	ga_s2bm_ard_3-2-1_51HWC_2019-08-28_final.stac-item
2019-10-09 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2019-10-09_final.stac-item
2019-10-13 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2019-10-13_final
2019-11-03 11:03:20	ga_s2bm_ard_3-2-1_52KEB_2019-11-03_final
2019-11-30 10:55:41	ga_s2bm_ard_3-2-1_52JFM_2019-11-30_final
2019-12-14 10:34:08	ga_s2bm_ard_3-2-1_53JNN_2019-12-14_final
2020-02-07 11:22:50	ga_s2bm_ard_3-2-1_51KYU_2020-02-07_final
2020-02-07 11:24:20	ga_s2bm_ard_3-2-1_51JXN_2020-02-07_final
2020-02-17 11:23:17	ga_s2bm_ard_3-2-1_51KZS_2020-02-17_final
2020-02-17 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2020-02-17_final
2020-04-04 11:13:12	ga_s2bm_ard_3-2-1_52KEB_2020-04-04_final
2020-04-27 11:22:51	ga_s2bm_ard_3-2-1_51KYU_2020-04-27_final
2020-05-14 11:13:18	ga_s2bm_ard_3-2-1_52KDB_2020-05-14_final
2020-05-24 11:13:23	ga_s2bm_ard_3-2-1_52KCB_2020-05-24_final
2020-06-10 11:02:57	ga_s2bm_ard_3-2-1_52KHC_2020-06-10_final
2020-06-16 11:23:05	ga_s2bm_ard_3-2-1_52KCC_2020-06-16_final
2020-06-26 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2020-06-26_final
2020-07-13 11:13:11	ga_s2bm_ard_3-2-1_52KDC_2020-07-13_final
2020-07-26 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2020-07-26_final
2020-08-02 11:13:36	ga_s2bm_ard_3-2-1_52KDA_2020-08-02_final
2020-08-08 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2020-08-08_final
2020-08-18 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2020-08-18_final
2020-09-03 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2020-09-03_final
2020-09-24 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2020-09-24_final
2020-11-26 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2020-11-26_final
2020-12-13 11:23:59	ga_s2bm_ard_3-2-1_51KWQ_2020-12-13_final
2021-01-23 10:55:54	ga_s2bm_ard_3-2-1_53JKF_2021-01-23_final
2021-02-25 11:01:20	ga_s2bm_ard_3-2-1_52LGK_2021-02-25_final
2021-03-13 11:22:51	ga_s2bm_ard_3-2-1_52KBD_2021-03-13_final
2021-05-06 11:03:46	ga_s2bm_ard_3-2-1_52KEV_2021-05-06_final
2021-05-08 11:40:55	ga_s2bm_ard_3-2-1_51LWG_2021-05-08_final.stac-item
2021-05-09 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2021-05-09_final
2021-06-05 11:03:21	ga_s2bm_ard_3-2-1_52KEB_2021-06-05_final
2021-06-24 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2021-06-24_final
2021-07-09 10:44:22	ga_s2bm_ard_3-2-1_53JNM_2021-07-09_final
2021-07-21 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2021-07-21_final
2021-08-03 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2021-08-03_final
2021-08-20 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2021-08-20_final
2021-12-08 11:24:46	ga_s2bm_ard_3-2-1_51JYL_2021-12-08_final
2022-04-04 11:13:51	ga_s2bm_ard_3-2-1_52KBV_2022-04-04_final
2022-05-14 11:13:24	ga_s2bm_ard_3-2-1_51KZS_2022-05-14_final
2022-06-13 11:13:22	ga_s2bm_ard_3-2-1_52KDB_2022-06-13_final
2022-09-11 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2022-09-11_final.stac-item
2022-09-15 10:55:48	ga_s2bm_ard_3-2-1_52JFM_2022-09-15_final.stac-item
2022-09-25 10:55:40	ga_s2bm_ard_3-2-1_53JKG_2022-09-25_final.stac-item
2022-10-04 11:23:11	ga_s2bm_ard_3-2-1_52KBB_2022-10-04_final.stac-item
2022-10-10 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2022-10-10_final.stac-item
2022-12-19 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2022-12-19_final.stac-item
2023-01-08 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2023-01-08_final.stac-item
2023-02-17 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2023-02-17_final.stac-item
2023-03-04 10:55:41	ga_s2bm_ard_3-2-1_53JKG_2023-03-04_final.stac-item
2023-04-05 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2023-04-05_final.stac-item
2023-04-18 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2023-04-18_final.stac-item
2023-04-23 10:55:48	ga_s2bm_ard_3-2-1_52JFM_2023-04-23_final.stac-item
2023-05-02 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2023-05-02_final.stac-item
2023-05-25 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2023-05-25_final.stac-item
2023-06-13 10:26:37	ga_s2bm_ard_3-2-1_53HQC_2023-06-13_final.stac-item
2023-06-17 11:43:02	ga_s2bm_ard_3-2-1_51KVU_2023-06-17_final.stac-item
2023-06-21 11:26:40	ga_s2bm_ard_3-2-1_51HXD_2023-06-21_final.stac-item
2023-07-24 11:33:01	ga_s2bm_ard_3-2-1_51KXU_2023-07-24_final.stac-item
2023-07-28 11:11:25	ga_s2bm_ard_3-2-1_52LEK_2023-07-28_final.stac-item
2023-07-31 11:23:41	ga_s2bm_ard_3-2-1_51KZR_2023-07-31_final.stac-item
2023-09-02 11:33:32	ga_s2bm_ard_3-2-1_51KWS_2023-09-02_final.stac-item
2023-09-02 11:33:35	ga_s2bm_ard_3-2-1_51KVS_2023-09-02_final.stac-item
2023-09-05 11:43:29	ga_s2bm_ard_3-2-1_51KVS_2023-09-05_final.stac-item
2024-01-03 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2024-01-03_final.stac-item
2024-02-16 11:23:07	ga_s2bm_ard_3-2-1_52KBC_2024-02-16_final.stac-item
2024-02-25 11:52:34	ga_s2bm_ard_3-2-1_50KQF_2024-02-25_final.stac-item
2024-03-10 11:32:10	ga_s2bm_ard_3-2-1_51KWB_2024-03-10_final.stac-item
2024-04-12 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2024-04-12_final.stac-item
2024-04-26 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2024-04-26_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