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
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51KWT_2017-09-23_final
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51KXT_2018-01-08_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50KQG_2018-01-27_final.stac-item
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_51JZN_2018-03-09_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51HUC_2018-03-22_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KXR_2018-05-18_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KXS_2018-06-10_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KWQ_2018-06-27_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_51KVV_2018-07-13_final
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_49KGQ_2018-09-20_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KVB_2018-09-21_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51KXQ_2018-09-25_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KGQ_2018-09-30_final
2018-11-04 11:25:08	ga_s2bm_ard_3-2-1_51JVK_2018-11-04_final
2018-11-07 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2018-11-07_final
2018-11-07 11:34:03	ga_s2bm_ard_3-2-1_51KXP_2018-11-07_final
2018-11-17 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2018-11-17_final
2018-11-24 11:23:10	ga_s2bm_ard_3-2-1_51KXT_2018-11-24_final
2018-12-07 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2018-12-07_final
2019-02-25 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2019-02-25_final
2019-04-03 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2019-04-03_final
2019-05-05 12:03:52	ga_s2bm_ard_3-2-1_50KKB_2019-05-05_final
2019-05-23 11:24:06	ga_s2bm_ard_3-2-1_51KXQ_2019-05-23_final
2019-05-26 11:32:56	ga_s2bm_ard_3-2-1_51KVV_2019-05-26_final
2019-07-01 11:57:03	ga_s2bm_ard_3-2-1_50HLJ_2019-07-01_final
2019-10-19 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2019-10-19_final
2019-11-12 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2019-11-12_final
2019-11-12 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2019-11-12_final
2019-11-15 11:42:48	ga_s2bm_ard_3-2-1_51KVV_2019-11-15_final
2019-11-22 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2019-11-22_final
2019-11-24 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2019-11-24_final
2019-12-12 11:33:42	ga_s2bm_ard_3-2-1_51KUR_2019-12-12_final
2020-03-04 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2020-03-04_final
2020-03-31 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2020-03-31_final
2020-04-07 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2020-04-07_final
2020-04-07 11:24:37	ga_s2bm_ard_3-2-1_51JXM_2020-04-07_final
2020-04-10 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2020-04-10_final
2020-04-10 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2020-04-10_final
2020-05-13 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2020-05-13_final
2020-05-20 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2020-05-20_final
2020-07-22 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2020-07-22_final
2020-08-01 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2020-08-01_final
2020-08-18 11:33:42	ga_s2bm_ard_3-2-1_51KXR_2020-08-18_final
2020-09-17 11:33:18	ga_s2bm_ard_3-2-1_51KVT_2020-09-17_final
2020-09-19 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-09-19_final
2020-09-26 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-09-26_final
2020-10-10 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2020-10-10_final
2021-01-08 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2021-01-08_final
2021-02-10 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-02-10_final
2021-02-14 11:36:45	ga_s2bm_ard_3-2-1_51HTD_2021-02-14_final
2021-02-24 11:33:46	ga_s2bm_ard_3-2-1_51KUR_2021-02-24_final
2021-05-14 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2021-05-14_final
2021-06-24 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2021-06-24_final
2021-07-18 11:16:39	ga_s2bm_ard_3-2-1_51HYD_2021-07-18_final
2021-09-12 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2021-09-12_final
2021-10-11 12:03:27	ga_s2bm_ard_3-2-1_50KLC_2021-10-11_final
2021-10-19 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2021-10-19_final
2021-11-08 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2021-11-08_final
2021-11-24 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2021-11-24_final
2022-01-20 11:32:06	ga_s2bm_ard_3-2-1_51KXB_2022-01-20_final
2022-01-26 11:56:24	ga_s2bm_ard_3-2-1_50HNK_2022-01-26_final
2022-01-29 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2022-01-29_final
2022-03-01 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2022-03-01_final
2022-03-27 11:52:31	ga_s2bm_ard_3-2-1_50KQF_2022-03-27_final.stac-item
2022-03-27 11:54:30	ga_s2bm_ard_3-2-1_50JPT_2022-03-27_final
2022-03-28 11:24:29	ga_s2bm_ard_3-2-1_51JZM_2022-03-28_final
2022-04-13 11:43:32	ga_s2bm_ard_3-2-1_51KVR_2022-04-13_final
2022-04-30 11:32:01	ga_s2bm_ard_3-2-1_51KWB_2022-04-30_final
2022-05-26 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2022-05-26_final
2022-06-06 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2022-06-06_final
2022-07-19 11:33:46	ga_s2bm_ard_3-2-1_51KWR_2022-07-19_final
2022-11-06 11:36:12	ga_s2bm_ard_3-2-1_51JUF_2022-11-06_final.stac-item
2022-11-09 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2022-11-09_final.stac-item
2022-12-03 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2022-12-03_final.stac-item
2022-12-06 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2022-12-06_final.stac-item
2023-01-05 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2023-01-05_final.stac-item
2023-01-08 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-01-08_final.stac-item
2023-02-17 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-02-17_final.stac-item
2023-03-03 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2023-03-03_final.stac-item
2023-03-26 11:36:17	ga_s2bm_ard_3-2-1_51JUF_2023-03-26_final.stac-item
2023-04-02 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2023-04-02_final.stac-item
2023-06-17 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-06-17_final.stac-item
2023-07-30 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2023-07-30_final.stac-item
2023-08-16 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2023-08-16_final.stac-item
2023-08-16 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2023-08-16_final.stac-item
2023-08-30 11:24:06	ga_s2bm_ard_3-2-1_51KWQ_2023-08-30_final.stac-item
2023-09-12 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2023-09-12_final.stac-item
2023-09-29 11:25:16	ga_s2bm_ard_3-2-1_51JWK_2023-09-29_final.stac-item
2023-10-02 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2023-10-02_final.stac-item
2023-11-04 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2023-11-04_final.stac-item
2023-11-11 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2023-11-11_final.stac-item
2023-11-21 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2023-11-21_final.stac-item
2023-12-01 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2023-12-01_final.stac-item
2023-12-04 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2023-12-04_final.stac-item
2023-12-21 11:34:06	ga_s2bm_ard_3-2-1_51KXP_2023-12-21_final.stac-item
2024-01-26 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2024-01-26_final.stac-item
2024-03-30 11:34:54	ga_s2bm_ard_3-2-1_51JWL_2024-03-30_final.stac-item
2024-04-29 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2024-04-29_final.stac-item
2024-04-29 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2024-04-29_final.stac-item
2024-05-09 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2024-05-09_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