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
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KQB_2018-05-07_final
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KQV_2018-05-07_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50KNA_2018-05-07_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51HVD_2018-05-11_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50KPF_2018-05-17_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HLH_2018-06-23_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50JPQ_2018-09-21_final
2018-09-24 11:45:54	ga_s2bm_ard_3-2-1_50KQF_2018-09-24_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50KPB_2018-09-24_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51HWD_2018-09-25_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50KLC_2018-09-27_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50KNB_2018-09-27_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JLM_2018-09-27_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_50KNB_2018-10-07_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50KPB_2018-10-14_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KHQ_2018-10-20_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50KLC_2018-10-27_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_50KKU_2018-10-30_final
2018-11-07 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2018-11-07_final
2018-11-17 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2018-11-17_final
2018-11-19 12:14:16	ga_s2bm_ard_3-2-1_50KKU_2018-11-19_final
2018-11-29 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2018-11-29_final
2018-12-16 12:03:38	ga_s2bm_ard_3-2-1_50KNA_2018-12-16_final
2019-07-27 12:14:12	ga_s2bm_ard_3-2-1_50KKV_2019-07-27_final
2019-08-10 11:52:44	ga_s2bm_ard_3-2-1_50KPF_2019-08-10_final.stac-item
2019-09-22 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2019-09-22_final
2019-11-01 12:03:45	ga_s2bm_ard_3-2-1_50KNA_2019-11-01_final
2019-11-14 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2019-11-14_final
2020-02-20 11:36:30	ga_s2bm_ard_3-2-1_51HVD_2020-02-20_final
2020-03-17 11:52:35	ga_s2bm_ard_3-2-1_50KPF_2020-03-17_final.stac-item
2020-06-15 11:52:40	ga_s2bm_ard_3-2-1_50KPF_2020-06-15_final.stac-item
2020-08-27 12:03:48	ga_s2bm_ard_3-2-1_50KNA_2020-08-27_final
2020-09-03 11:53:38	ga_s2bm_ard_3-2-1_50KPB_2020-09-03_final
2020-09-03 11:53:53	ga_s2bm_ard_3-2-1_50KPA_2020-09-03_final
2020-09-03 11:54:05	ga_s2bm_ard_3-2-1_50KNA_2020-09-03_final
2020-09-13 11:53:44	ga_s2bm_ard_3-2-1_50KPB_2020-09-13_final
2020-09-13 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2020-09-13_final
2020-09-19 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-09-19_final
2020-09-20 11:45:23	ga_s2bm_ard_3-2-1_50JPQ_2020-09-20_final
2020-09-23 11:53:38	ga_s2bm_ard_3-2-1_50KPB_2020-09-23_final
2020-09-23 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-09-23_final
2020-09-26 12:03:34	ga_s2bm_ard_3-2-1_50KNB_2020-09-26_final
2020-09-29 12:14:10	ga_s2bm_ard_3-2-1_50KKV_2020-09-29_final
2020-09-29 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-09-29_final
2020-10-03 11:52:41	ga_s2bm_ard_3-2-1_50KPF_2020-10-03_final.stac-item
2020-10-03 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2020-10-03_final
2020-10-06 12:03:37	ga_s2bm_ard_3-2-1_50KNB_2020-10-06_final
2020-12-02 11:52:37	ga_s2bm_ard_3-2-1_50KPF_2020-12-02_final.stac-item
2021-08-26 11:45:56	ga_s2bm_ard_3-2-1_50JQM_2021-08-26_final
2021-09-09 11:26:32	ga_s2bm_ard_3-2-1_51HXD_2021-09-09_final
2021-09-15 11:46:01	ga_s2bm_ard_3-2-1_50JQM_2021-09-15_final
2021-09-18 11:55:23	ga_s2bm_ard_3-2-1_50JPP_2021-09-18_final
2021-09-18 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-09-18_final
2021-10-15 11:46:06	ga_s2bm_ard_3-2-1_50JQM_2021-10-15_final
2021-11-27 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2021-11-27_final
2021-12-28 11:26:31	ga_s2bm_ard_3-2-1_51HVE_2021-12-28_final
2021-12-28 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2021-12-28_final
2021-12-30 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2021-12-30_final
2022-01-06 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2022-01-06_final
2022-01-06 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2022-01-06_final
2022-01-07 11:27:03	ga_s2bm_ard_3-2-1_51HTC_2022-01-07_final
2022-01-26 11:55:20	ga_s2bm_ard_3-2-1_50JPP_2022-01-26_final
2022-01-26 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-01-26_final
2022-04-17 11:26:43	ga_s2bm_ard_3-2-1_51HXC_2022-04-17_final.stac-item
2022-04-30 11:34:42	ga_s2bm_ard_3-2-1_50JRS_2022-04-30_final
2022-06-16 11:26:44	ga_s2bm_ard_3-2-1_51HWD_2022-06-16_final
2022-06-22 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2022-06-22_final
2022-06-26 11:26:41	ga_s2bm_ard_3-2-1_51HXD_2022-06-26_final
2022-07-02 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2022-07-02_final
2022-07-05 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2022-07-05_final
2022-08-14 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2022-08-14_final
2022-08-24 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2022-08-24_final
2022-09-26 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2022-09-26_final.stac-item
2022-10-20 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2022-10-20_final.stac-item
2023-01-02 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2023-01-02_final.stac-item
2023-01-08 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-01-08_final.stac-item
2023-01-12 11:26:32	ga_s2bm_ard_3-2-1_51HXD_2023-01-12_final.stac-item
2023-01-18 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2023-01-18_final.stac-item
2023-01-21 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2023-01-21_final.stac-item
2023-02-07 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2023-02-07_final.stac-item
2023-02-10 11:55:21	ga_s2bm_ard_3-2-1_50JPQ_2023-02-10_final.stac-item
2023-02-17 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-02-17_final.stac-item
2023-02-21 11:27:07	ga_s2bm_ard_3-2-1_51HTC_2023-02-21_final.stac-item
2023-03-10 11:16:30	ga_s2bm_ard_3-2-1_51HXE_2023-03-10_final.stac-item
2023-04-12 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2023-04-12_final.stac-item
2023-04-22 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2023-04-22_final.stac-item
2023-05-01 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2023-05-01_final.stac-item
2023-05-02 11:26:42	ga_s2bm_ard_3-2-1_51HWD_2023-05-02_final.stac-item
2023-05-12 11:26:25	ga_s2bm_ard_3-2-1_51HXE_2023-05-12_final.stac-item
2023-05-22 11:26:41	ga_s2bm_ard_3-2-1_51HXD_2023-05-22_final.stac-item
2023-05-22 11:26:45	ga_s2bm_ard_3-2-1_51HWD_2023-05-22_final.stac-item
2023-06-11 11:26:45	ga_s2bm_ard_3-2-1_51HWD_2023-06-11_final.stac-item
2023-06-30 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-06-30_final.stac-item
2023-08-20 11:26:27	ga_s2bm_ard_3-2-1_51HXE_2023-08-20_final.stac-item
2023-11-21 11:36:30	ga_s2bm_ard_3-2-1_51HVD_2023-11-21_final.stac-item
2023-11-24 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2023-11-24_final.stac-item
2024-01-23 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2024-01-23_final.stac-item
2024-01-26 11:56:33	ga_s2bm_ard_3-2-1_50HLK_2024-01-26_final.stac-item
2024-03-30 11:36:33	ga_s2bm_ard_3-2-1_51HVD_2024-03-30_final.stac-item
2024-04-02 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2024-04-02_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