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
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KXQ_2017-12-02_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KYS_2017-12-09_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KYT_2017-12-12_final
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KVU_2018-02-13_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KXT_2018-03-12_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KWT_2018-04-01_final
2018-04-21 11:26:19	ga_s2bm_ard_3-2-1_51KVT_2018-04-21_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51KVT_2018-04-21_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXQ_2018-05-11_final
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KUS_2018-05-24_final
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KWQ_2018-06-20_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_51HXD_2018-08-03_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51KXT_2018-10-15_final
2018-11-30 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2018-11-30_final
2018-12-07 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2018-12-07_final
2018-12-17 11:33:39	ga_s2bm_ard_3-2-1_51KVR_2018-12-17_final
2019-01-03 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2019-01-03_final
2019-01-26 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2019-01-26_final
2019-01-29 11:44:13	ga_s2bm_ard_3-2-1_51KUP_2019-01-29_final
2019-02-02 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2019-02-02_final
2019-02-22 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2019-02-22_final
2019-03-14 11:23:04	ga_s2bm_ard_3-2-1_51KZT_2019-03-14_final
2019-03-14 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2019-03-14_final
2019-04-16 11:33:36	ga_s2bm_ard_3-2-1_51KVS_2019-04-16_final
2019-05-23 11:23:04	ga_s2bm_ard_3-2-1_51KYU_2019-05-23_final
2019-07-15 11:33:10	ga_s2bm_ard_3-2-1_51KVU_2019-07-15_final
2019-08-04 11:33:49	ga_s2bm_ard_3-2-1_51KWR_2019-08-04_final
2019-08-17 11:43:17	ga_s2bm_ard_3-2-1_51KVT_2019-08-17_final
2019-09-13 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2019-09-13_final
2019-10-03 11:33:03	ga_s2bm_ard_3-2-1_51KXT_2019-10-03_final
2019-10-03 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2019-10-03_final
2019-10-30 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2019-10-30_final
2019-11-09 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2019-11-09_final
2019-11-25 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2019-11-25_final
2019-12-25 11:41:28	ga_s2bm_ard_3-2-1_51LUE_2019-12-25_final
2020-01-01 11:33:58	ga_s2bm_ard_3-2-1_51KUQ_2020-01-01_final
2020-01-31 11:33:34	ga_s2bm_ard_3-2-1_51KWR_2020-01-31_final
2020-03-08 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2020-03-08_final
2020-03-10 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-10_final
2020-03-11 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2020-03-11_final
2020-03-31 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2020-03-31_final
2020-05-07 11:23:04	ga_s2bm_ard_3-2-1_51KZT_2020-05-07_final
2020-06-26 11:24:00	ga_s2bm_ard_3-2-1_51KXQ_2020-06-26_final
2020-07-02 11:43:49	ga_s2bm_ard_3-2-1_50KRA_2020-07-02_final
2020-07-06 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2020-07-06_final
2020-07-29 11:33:01	ga_s2bm_ard_3-2-1_51KWU_2020-07-29_final
2020-08-22 11:13:58	ga_s2bm_ard_3-2-1_51KZQ_2020-08-22_final
2020-09-07 11:33:26	ga_s2bm_ard_3-2-1_51KXS_2020-09-07_final
2020-09-14 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2020-09-14_final
2020-10-04 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2020-10-04_final
2020-10-10 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2020-10-10_final
2020-11-06 11:31:26	ga_s2bm_ard_3-2-1_51LYE_2020-11-06_final
2020-12-16 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2020-12-16_final
2021-02-17 11:43:09	ga_s2bm_ard_3-2-1_51KVT_2021-02-17_final
2021-02-27 11:42:15	ga_s2bm_ard_3-2-1_51KUB_2021-02-27_final.stac-item
2021-06-17 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2021-06-17_final.stac-item
2021-07-04 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2021-07-04_final
2021-07-21 11:23:22	ga_s2bm_ard_3-2-1_52KBB_2021-07-21_final
2021-08-03 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2021-08-03_final
2021-08-13 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2021-08-13_final
2021-09-25 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2021-09-25_final
2021-10-09 11:23:20	ga_s2bm_ard_3-2-1_51KYT_2021-10-09_final
2021-10-09 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2021-10-09_final
2021-10-22 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2021-10-22_final
2021-11-01 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2021-11-01_final
2021-12-15 11:13:48	ga_s2bm_ard_3-2-1_51KZQ_2021-12-15_final
2022-01-29 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2022-01-29_final
2022-03-05 11:16:17	ga_s2bm_ard_3-2-1_52HBK_2022-03-05_final
2022-03-11 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2022-03-11_final
2022-07-02 11:43:16	ga_s2bm_ard_3-2-1_51KVT_2022-07-02_final
2022-07-06 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2022-07-06_final
2022-08-05 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2022-08-05_final
2022-08-18 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2022-08-18_final
2022-09-10 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2022-09-10_final.stac-item
2022-11-13 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2022-11-13_final.stac-item
2022-11-19 11:41:32	ga_s2bm_ard_3-2-1_51LUE_2022-11-19_final.stac-item
2022-11-29 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2022-11-29_final.stac-item
2022-12-09 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2022-12-09_final.stac-item
2023-03-09 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2023-03-09_final.stac-item
2023-03-11 10:45:51	ga_s2bm_ard_3-2-1_52JGM_2023-03-11_final.stac-item
2023-03-26 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2023-03-26_final.stac-item
2023-04-02 11:23:13	ga_s2bm_ard_3-2-1_51KYT_2023-04-02_final.stac-item
2023-05-02 11:24:07	ga_s2bm_ard_3-2-1_51KZP_2023-05-02_final.stac-item
2023-05-06 11:06:13	ga_s2bm_ard_3-2-1_52JBL_2023-05-06_final.stac-item
2023-05-08 11:41:35	ga_s2bm_ard_3-2-1_51LUE_2023-05-08_final.stac-item
2023-05-25 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2023-05-25_final.stac-item
2023-06-07 11:41:02	ga_s2bm_ard_3-2-1_51LWG_2023-06-07_final.stac-item
2023-06-24 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2023-06-24_final.stac-item
2023-07-04 11:33:00	ga_s2bm_ard_3-2-1_51KXU_2023-07-04_final.stac-item
2023-08-16 11:43:20	ga_s2bm_ard_3-2-1_51KVT_2023-08-16_final.stac-item
2023-09-02 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2023-09-02_final.stac-item
2023-09-22 11:33:27	ga_s2bm_ard_3-2-1_51KXS_2023-09-22_final.stac-item
2024-01-07 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2024-01-07_final.stac-item
2024-01-20 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2024-01-20_final.stac-item
2024-03-19 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2024-03-19_final.stac-item
2024-03-30 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2024-03-30_final.stac-item
2024-03-30 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2024-03-30_final.stac-item
2024-04-13 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2024-04-13_final.stac-item
2024-04-16 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2024-04-16_final.stac-item
2024-04-16 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2024-04-16_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