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
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_49KHQ_2018-09-20_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49KGP_2018-09-20_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HQH_2018-09-21_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50KRC_2018-09-21_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HLK_2018-09-24_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KHQ_2018-09-30_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_50KNA_2018-10-07_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KHR_2018-10-10_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KGR_2018-10-20_final
2018-10-24 11:43:41	ga_s2bm_ard_3-2-1_50KPF_2018-10-24_final.stac-item
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JFM_2018-10-30_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KGP_2018-10-30_final
2018-11-09 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2018-11-09_final
2018-11-14 11:24:20	ga_s2bm_ard_3-2-1_51JYN_2018-11-14_final
2018-11-16 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2018-11-16_final
2018-11-16 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2018-11-16_final
2018-11-20 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2018-11-20_final
2018-11-23 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2018-11-23_final.stac-item
2018-12-09 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2018-12-09_final
2018-12-11 11:14:17	ga_s2bm_ard_3-2-1_51JZN_2018-12-11_final
2018-12-14 11:25:38	ga_s2bm_ard_3-2-1_51JYG_2018-12-14_final
2018-12-17 11:35:35	ga_s2bm_ard_3-2-1_51JVH_2018-12-17_final
2019-07-01 11:52:28	ga_s2bm_ard_3-2-1_50KQG_2019-07-01_final.stac-item
2019-10-09 11:52:38	ga_s2bm_ard_3-2-1_50KPF_2019-10-09_final.stac-item
2019-11-14 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2019-11-14_final
2019-11-15 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2019-11-15_final
2019-12-08 11:52:31	ga_s2bm_ard_3-2-1_50KPF_2019-12-08_final.stac-item
2019-12-14 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2019-12-14_final
2020-01-24 11:43:07	ga_s2bm_ard_3-2-1_50KRC_2020-01-24_final
2020-06-15 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-06-15_final.stac-item
2020-09-17 11:34:41	ga_s2bm_ard_3-2-1_51JWM_2020-09-17_final
2020-09-21 11:14:30	ga_s2bm_ard_3-2-1_51JYN_2020-09-21_final
2020-09-26 12:03:47	ga_s2bm_ard_3-2-1_50KNA_2020-09-26_final
2020-09-29 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2020-09-29_final
2020-10-06 12:03:48	ga_s2bm_ard_3-2-1_50KNA_2020-10-06_final
2020-11-16 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2020-11-16_final
2020-11-19 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2020-11-19_final
2020-12-12 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2020-12-12_final
2021-05-21 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2021-05-21_final.stac-item
2021-09-15 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2021-09-15_final
2021-09-15 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2021-09-15_final
2021-09-18 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-09-18_final
2021-09-18 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2021-09-18_final
2021-10-15 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-10-15_final
2021-11-08 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2021-11-08_final
2021-11-10 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2021-11-10_final
2021-12-05 11:16:32	ga_s2bm_ard_3-2-1_51HYD_2021-12-05_final
2021-12-08 11:26:54	ga_s2bm_ard_3-2-1_51HUC_2021-12-08_final
2021-12-20 12:05:46	ga_s2bm_ard_3-2-1_50JLN_2021-12-20_final
2021-12-28 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2021-12-28_final
2021-12-28 11:27:03	ga_s2bm_ard_3-2-1_51HTC_2021-12-28_final
2021-12-30 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2021-12-30_final
2022-01-10 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2022-01-10_final
2022-01-23 11:46:53	ga_s2bm_ard_3-2-1_50HPH_2022-01-23_final
2022-02-22 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2022-02-22_final
2022-02-23 11:15:50	ga_s2bm_ard_3-2-1_51JYG_2022-02-23_final
2022-03-27 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2022-03-27_final.stac-item
2022-03-28 11:24:41	ga_s2bm_ard_3-2-1_51JWM_2022-03-28_final
2022-04-06 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2022-04-06_final.stac-item
2022-04-17 11:26:36	ga_s2bm_ard_3-2-1_51HWD_2022-04-17_final
2022-04-30 11:35:06	ga_s2bm_ard_3-2-1_51JVK_2022-04-30_final
2022-04-30 11:35:34	ga_s2bm_ard_3-2-1_51JVH_2022-04-30_final
2022-06-02 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2022-06-02_final
2022-06-12 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2022-06-12_final
2022-07-02 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2022-07-02_final
2022-07-03 11:15:59	ga_s2bm_ard_3-2-1_51JYG_2022-07-03_final
2022-07-08 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2022-07-08_final
2022-07-12 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2022-07-12_final
2022-07-15 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2022-07-15_final
2022-07-22 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2022-07-22_final
2022-08-01 11:45:59	ga_s2bm_ard_3-2-1_50JNN_2022-08-01_final.stac-item
2022-08-04 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2022-08-04_final
2022-08-25 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2022-08-25_final
2022-10-03 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2022-10-03_final.stac-item
2022-10-13 11:56:21	ga_s2bm_ard_3-2-1_50JML_2022-10-13_final.stac-item
2022-10-13 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2022-10-13_final.stac-item
2022-12-23 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2022-12-23_final.stac-item
2022-12-25 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2022-12-25_final.stac-item
2023-01-05 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2023-01-05_final.stac-item
2023-01-24 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2023-01-24_final.stac-item
2023-01-25 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2023-01-25_final.stac-item
2023-02-10 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2023-02-10_final.stac-item
2023-03-05 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2023-03-05_final.stac-item
2023-03-09 11:46:57	ga_s2bm_ard_3-2-1_50HQH_2023-03-09_final.stac-item
2023-03-12 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-03-12_final.stac-item
2023-05-08 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2023-05-08_final.stac-item
2023-06-17 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-06-17_final.stac-item
2023-08-29 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2023-08-29_final.stac-item
2023-10-05 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2023-10-05_final.stac-item
2023-10-15 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2023-10-15_final.stac-item
2023-10-15 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2023-10-15_final.stac-item
2023-10-25 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2023-10-25_final.stac-item
2023-10-25 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2023-10-25_final.stac-item
2023-10-29 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2023-10-29_final.stac-item
2023-11-28 11:24:15	ga_s2bm_ard_3-2-1_51JZN_2023-11-28_final.stac-item
2023-12-04 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2023-12-04_final.stac-item
2024-03-10 11:36:06	ga_s2bm_ard_3-2-1_51JVF_2024-03-10_final.stac-item
2024-04-02 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2024-04-02_final.stac-item
2024-05-25 11:56:22	ga_s2bm_ard_3-2-1_50JML_2024-05-25_nrt.stac-item
2024-06-04 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2024-06-04_nrt.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