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_50JPL_2017-07-05_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KVR_2017-09-03_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KUT_2017-11-25_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KWU_2017-12-12_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KKB_2018-03-01_final
2018-05-04 11:38:16	ga_s2bm_ard_3-2-1_51KUT_2018-05-04_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49KGQ_2018-07-22_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_51KVA_2018-08-12_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JMM_2018-08-15_final
2018-11-20 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2018-11-20_final
2018-12-27 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2018-12-27_final
2019-01-03 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2019-01-03_final
2019-01-06 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2019-01-06_final
2019-01-06 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2019-01-06_final
2019-02-25 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2019-02-25_final
2019-02-28 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2019-02-28_final
2019-03-09 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2019-03-09_final
2019-05-19 11:42:54	ga_s2bm_ard_3-2-1_51KUV_2019-05-19_final
2019-06-17 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-06-17_final
2019-07-29 11:14:31	ga_s2bm_ard_3-2-1_51JZN_2019-07-29_final
2019-08-14 11:33:19	ga_s2bm_ard_3-2-1_51KWT_2019-08-14_final
2019-08-23 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2019-08-23_final
2019-10-23 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2019-10-23_final
2019-11-01 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2019-11-01_final
2019-11-25 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2019-11-25_final
2019-12-02 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2019-12-02_final
2019-12-05 11:42:54	ga_s2bm_ard_3-2-1_51KUU_2019-12-05_final
2019-12-19 11:23:23	ga_s2bm_ard_3-2-1_51KXS_2019-12-19_final
2019-12-22 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2019-12-22_final
2020-01-07 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2020-01-07_final
2020-01-14 11:42:07	ga_s2bm_ard_3-2-1_51KVB_2020-01-14_final
2020-01-31 11:33:20	ga_s2bm_ard_3-2-1_51KWS_2020-01-31_final
2020-03-11 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2020-03-11_final
2020-03-21 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2020-03-21_final
2020-03-23 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-03-23_final
2020-04-19 12:03:22	ga_s2bm_ard_3-2-1_50KLC_2020-04-19_final
2020-09-10 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2020-09-10_final
2020-09-16 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2020-09-16_final
2020-10-17 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2020-10-17_final
2020-11-16 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2020-11-16_final
2020-11-19 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2020-11-19_final
2020-11-29 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2020-11-29_final
2020-12-13 11:23:10	ga_s2bm_ard_3-2-1_51KXT_2020-12-13_final
2021-01-25 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2021-01-25_final
2021-01-25 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2021-01-25_final
2021-02-04 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2021-02-04_final
2021-04-08 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2021-04-08_final
2021-04-11 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2021-04-11_final
2021-06-27 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2021-06-27_final
2021-07-14 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2021-07-14_final
2021-07-24 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2021-07-24_final
2021-08-22 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-08-22_final
2021-09-02 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2021-09-02_final.stac-item
2021-10-28 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2021-10-28_final
2021-10-29 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2021-10-29_final
2021-11-11 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2021-11-11_final
2021-11-14 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2021-11-14_final
2021-11-24 11:44:04	ga_s2bm_ard_3-2-1_50KRU_2021-11-24_final
2021-11-27 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2021-11-27_final
2021-12-01 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2021-12-01_final
2021-12-21 11:33:07	ga_s2bm_ard_3-2-1_51KWT_2021-12-21_final
2021-12-31 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2021-12-31_final
2022-01-20 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2022-01-20_final.stac-item
2022-02-09 11:33:10	ga_s2bm_ard_3-2-1_51KVT_2022-02-09_final
2022-02-12 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2022-02-12_final
2022-02-19 11:32:13	ga_s2bm_ard_3-2-1_51KVB_2022-02-19_final
2022-03-07 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2022-03-07_final
2022-04-02 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2022-04-02_final
2022-05-06 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2022-05-06_final
2022-06-11 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-06-11_final
2022-07-31 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2022-07-31_final
2022-10-30 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2022-10-30_final.stac-item
2022-11-06 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2022-11-06_final.stac-item
2022-11-13 11:26:54	ga_s2bm_ard_3-2-1_51HWC_2022-11-13_final.stac-item
2022-11-26 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2022-11-26_final.stac-item
2023-01-05 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2023-01-05_final.stac-item
2023-01-25 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2023-01-25_final.stac-item
2023-02-03 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2023-02-03_final.stac-item
2023-04-15 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2023-04-15_final.stac-item
2023-05-07 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-05-07_final.stac-item
2023-07-17 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2023-07-17_final.stac-item
2023-07-23 12:03:50	ga_s2bm_ard_3-2-1_50KKB_2023-07-23_final.stac-item
2023-08-03 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-08-03_final.stac-item
2023-08-13 11:33:18	ga_s2bm_ard_3-2-1_51KWT_2023-08-13_final.stac-item
2023-08-26 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2023-08-26_final.stac-item
2023-11-04 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2023-11-04_final.stac-item
2023-11-08 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2023-11-08_final.stac-item
2023-11-10 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-11-10_final.stac-item
2023-11-28 11:23:24	ga_s2bm_ard_3-2-1_51KXS_2023-11-28_final.stac-item
2023-12-27 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2023-12-27_final.stac-item
2023-12-31 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2023-12-31_final.stac-item
2024-01-10 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2024-01-10_final.stac-item
2024-01-22 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2024-01-22_final.stac-item
2024-01-30 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2024-01-30_final.stac-item
2024-02-06 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2024-02-06_final.stac-item
2024-02-15 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2024-02-15_final.stac-item
2024-02-29 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2024-02-29_final.stac-item
2024-02-29 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2024-02-29_final.stac-item
2024-03-27 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2024-03-27_final.stac-item
2024-04-18 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2024-04-18_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