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
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_54KTF_2018-05-23_final.stac-item
2022-11-08 10:32:04	ga_s2bm_ard_3-2-1_54KTF_2022-11-08_final.stac-item
2022-11-08 10:32:05	ga_s2bm_ard_3-2-1_53KRA_2022-11-08_final.stac-item
2022-12-12 10:17:38	ga_s2bm_ard_3-2-1_54HTC_2022-12-12_nrt.stac-item
2022-12-18 10:31:04	ga_s2bm_ard_3-2-1_54LTK_2022-12-18_nrt.stac-item
2022-12-22 10:17:40	ga_s2bm_ard_3-2-1_54HTC_2022-12-22_nrt.stac-item
2022-12-28 10:31:04	ga_s2bm_ard_3-2-1_54LTK_2022-12-28_nrt.stac-item
2022-12-28 10:31:08	ga_s2bm_ard_3-2-1_53LRE_2022-12-28_nrt.stac-item
2023-01-01 10:17:39	ga_s2bm_ard_3-2-1_54HTC_2023-01-01_nrt.stac-item
2023-01-07 10:31:02	ga_s2bm_ard_3-2-1_54LTK_2023-01-07_nrt.stac-item
2023-01-11 10:17:36	ga_s2bm_ard_3-2-1_54HTC_2023-01-11_nrt.stac-item
2023-01-17 10:31:02	ga_s2bm_ard_3-2-1_54LTK_2023-01-17_nrt.stac-item
2023-01-17 10:31:06	ga_s2bm_ard_3-2-1_53LRE_2023-01-17_nrt.stac-item
2023-01-21 10:17:38	ga_s2bm_ard_3-2-1_54HTC_2023-01-21_nrt.stac-item
2023-01-24 10:25:35	ga_s2bm_ard_3-2-1_54JTM_2023-01-24_final.stac-item
2023-01-27 10:31:03	ga_s2bm_ard_3-2-1_54LTK_2023-01-27_nrt.stac-item
2023-01-31 10:17:38	ga_s2bm_ard_3-2-1_54HTC_2023-01-31_nrt.stac-item
2023-02-06 10:31:03	ga_s2bm_ard_3-2-1_54LTK_2023-02-06_nrt.stac-item
2023-02-10 10:17:39	ga_s2bm_ard_3-2-1_54HTC_2023-02-10_nrt.stac-item
2023-02-16 10:31:03	ga_s2bm_ard_3-2-1_54LTK_2023-02-16_nrt.stac-item
2023-02-20 10:17:40	ga_s2bm_ard_3-2-1_54HTC_2023-02-20_nrt.stac-item
2023-02-26 10:31:05	ga_s2bm_ard_3-2-1_54LTK_2023-02-26_nrt.stac-item
2023-02-26 10:31:21	ga_s2bm_ard_3-2-1_54LTJ_2023-02-26_nrt.stac-item
2023-02-26 10:31:22	ga_s2bm_ard_3-2-1_53LRD_2023-02-26_nrt.stac-item
2023-03-02 10:17:41	ga_s2bm_ard_3-2-1_54HTC_2023-03-02_nrt.stac-item
2023-03-08 10:31:08	ga_s2bm_ard_3-2-1_54LTK_2023-03-08_nrt.stac-item
2023-03-08 10:31:13	ga_s2bm_ard_3-2-1_53LRE_2023-03-08_nrt.stac-item
2023-03-08 10:31:24	ga_s2bm_ard_3-2-1_54LTJ_2023-03-08_nrt.stac-item
2023-03-08 10:31:25	ga_s2bm_ard_3-2-1_53LRD_2023-03-08_nrt.stac-item
2023-03-12 10:17:45	ga_s2bm_ard_3-2-1_54HTC_2023-03-12_nrt.stac-item
2023-03-18 10:31:09	ga_s2bm_ard_3-2-1_54LTK_2023-03-18_nrt.stac-item
2023-03-18 10:31:13	ga_s2bm_ard_3-2-1_53LRE_2023-03-18_nrt.stac-item
2023-03-18 10:31:25	ga_s2bm_ard_3-2-1_54LTJ_2023-03-18_nrt.stac-item
2023-03-18 10:31:26	ga_s2bm_ard_3-2-1_53LRD_2023-03-18_nrt.stac-item
2023-03-22 10:17:43	ga_s2bm_ard_3-2-1_54HTC_2023-03-22_nrt.stac-item
2023-03-28 10:31:08	ga_s2bm_ard_3-2-1_54LTK_2023-03-28_nrt.stac-item
2023-03-28 10:31:24	ga_s2bm_ard_3-2-1_54LTJ_2023-03-28_nrt.stac-item
2023-03-28 10:31:25	ga_s2bm_ard_3-2-1_53LRD_2023-03-28_nrt.stac-item
2023-04-01 10:17:44	ga_s2bm_ard_3-2-1_54HTC_2023-04-01_nrt.stac-item
2023-04-07 10:31:08	ga_s2bm_ard_3-2-1_54LTK_2023-04-07_nrt.stac-item
2023-04-07 10:31:12	ga_s2bm_ard_3-2-1_53LRE_2023-04-07_nrt.stac-item
2023-04-07 10:31:23	ga_s2bm_ard_3-2-1_54LTJ_2023-04-07_nrt.stac-item
2023-04-07 10:31:24	ga_s2bm_ard_3-2-1_53LRD_2023-04-07_nrt.stac-item
2023-04-11 10:17:42	ga_s2bm_ard_3-2-1_54HTC_2023-04-11_nrt.stac-item
2023-04-21 10:17:42	ga_s2bm_ard_3-2-1_54HTC_2023-04-21_nrt.stac-item
2023-04-27 10:31:06	ga_s2bm_ard_3-2-1_54LTK_2023-04-27_nrt.stac-item
2023-04-27 10:31:11	ga_s2bm_ard_3-2-1_53LRE_2023-04-27_nrt.stac-item
2023-05-01 10:17:43	ga_s2bm_ard_3-2-1_54HTC_2023-05-01_nrt.stac-item
2023-05-07 10:31:07	ga_s2bm_ard_3-2-1_54LTK_2023-05-07_nrt.stac-item
2023-05-07 10:31:23	ga_s2bm_ard_3-2-1_54LTJ_2023-05-07_nrt.stac-item
2023-05-07 10:31:24	ga_s2bm_ard_3-2-1_53LRD_2023-05-07_nrt.stac-item
2023-05-11 10:17:43	ga_s2bm_ard_3-2-1_54HTC_2023-05-11_nrt.stac-item
2023-05-17 10:31:15	ga_s2bm_ard_3-2-1_54LTK_2023-05-17_nrt.stac-item
2023-05-21 10:17:44	ga_s2bm_ard_3-2-1_54HTC_2023-05-21_nrt.stac-item
2023-05-31 10:17:43	ga_s2bm_ard_3-2-1_54HTC_2023-05-31_nrt.stac-item
2023-06-10 10:17:44	ga_s2bm_ard_3-2-1_54HTC_2023-06-10_nrt.stac-item
2023-06-20 10:17:44	ga_s2bm_ard_3-2-1_54HTC_2023-06-20_nrt.stac-item
2023-06-30 10:17:45	ga_s2bm_ard_3-2-1_54HTC_2023-06-30_nrt.stac-item
2023-07-10 10:17:45	ga_s2bm_ard_3-2-1_54HTC_2023-07-10_nrt.stac-item
2023-07-20 10:17:45	ga_s2bm_ard_3-2-1_54HTC_2023-07-20_nrt.stac-item
2023-07-30 10:17:45	ga_s2bm_ard_3-2-1_54HTC_2023-07-30_nrt.stac-item
2023-08-09 10:17:45	ga_s2bm_ard_3-2-1_54HTC_2023-08-09_nrt.stac-item
2023-08-19 10:17:45	ga_s2bm_ard_3-2-1_54HTC_2023-08-19_nrt.stac-item
2023-08-29 10:17:44	ga_s2bm_ard_3-2-1_54HTC_2023-08-29_nrt.stac-item
2023-09-08 10:17:44	ga_s2bm_ard_3-2-1_54HTC_2023-09-08_nrt.stac-item
2023-09-14 10:31:25	ga_s2bm_ard_3-2-1_54LTJ_2023-09-14_nrt.stac-item
2023-09-14 10:31:25	ga_s2bm_ard_3-2-1_53LRD_2023-09-14_nrt.stac-item
2023-09-18 10:17:43	ga_s2bm_ard_3-2-1_54HTC_2023-09-18_nrt.stac-item
2023-09-28 10:17:42	ga_s2bm_ard_3-2-1_54HTC_2023-09-28_nrt.stac-item
2023-10-08 10:17:40	ga_s2bm_ard_3-2-1_54HTC_2023-10-08_nrt.stac-item
2023-10-18 10:17:42	ga_s2bm_ard_3-2-1_54HTC_2023-10-18_nrt.stac-item
2023-10-28 10:17:41	ga_s2bm_ard_3-2-1_54HTC_2023-10-28_nrt.stac-item
2023-11-06 10:41:33	ga_s2bm_ard_3-2-1_54LTH_2023-11-06_nrt.stac-item
2023-11-07 10:17:42	ga_s2bm_ard_3-2-1_54HTC_2023-11-07_nrt.stac-item
2023-11-13 10:32:20	ga_s2bm_ard_3-2-1_54KTE_2023-11-13_final.stac-item
2023-11-17 10:17:38	ga_s2bm_ard_3-2-1_54HTC_2023-11-17_nrt.stac-item
2023-11-20 10:25:32	ga_s2bm_ard_3-2-1_54JTM_2023-11-20_final.stac-item
2023-11-27 10:17:36	ga_s2bm_ard_3-2-1_54HTC_2023-11-27_nrt.stac-item
2023-12-07 10:17:36	ga_s2bm_ard_3-2-1_54HTC_2023-12-07_nrt.stac-item
2023-12-17 10:17:39	ga_s2bm_ard_3-2-1_54HTC_2023-12-17_nrt.stac-item
2023-12-27 10:17:41	ga_s2bm_ard_3-2-1_54HTC_2023-12-27_nrt.stac-item
2024-01-06 10:17:39	ga_s2bm_ard_3-2-1_54HTC_2024-01-06_nrt.stac-item
2024-01-16 10:17:38	ga_s2bm_ard_3-2-1_54HTC_2024-01-16_nrt.stac-item
2024-01-26 10:17:38	ga_s2bm_ard_3-2-1_54HTC_2024-01-26_nrt.stac-item
2024-02-01 10:32:04	ga_s2bm_ard_3-2-1_54KTF_2024-02-01_final.stac-item
2024-02-01 10:32:04	ga_s2bm_ard_3-2-1_53KRA_2024-02-01_final.stac-item
2024-02-05 10:17:38	ga_s2bm_ard_3-2-1_54HTC_2024-02-05_nrt.stac-item
2024-02-15 10:17:41	ga_s2bm_ard_3-2-1_54HTC_2024-02-15_nrt.stac-item
2024-02-21 10:31:22	ga_s2bm_ard_3-2-1_54LTJ_2024-02-21_nrt.stac-item
2024-02-21 10:31:23	ga_s2bm_ard_3-2-1_53LRD_2024-02-21_nrt.stac-item
2024-02-25 10:17:39	ga_s2bm_ard_3-2-1_54HTC_2024-02-25_nrt.stac-item
2024-03-06 10:17:34	ga_s2bm_ard_3-2-1_54HTC_2024-03-06_nrt.stac-item
2024-03-16 10:17:38	ga_s2bm_ard_3-2-1_54HTC_2024-03-16_nrt.stac-item
2024-03-26 10:17:40	ga_s2bm_ard_3-2-1_54HTC_2024-03-26_nrt.stac-item
2024-04-05 10:17:37	ga_s2bm_ard_3-2-1_54HTC_2024-04-05_nrt.stac-item
2024-04-15 10:17:40	ga_s2bm_ard_3-2-1_54HTC_2024-04-15_nrt.stac-item
2024-04-25 10:17:38	ga_s2bm_ard_3-2-1_54HTC_2024-04-25_nrt.stac-item
2024-05-05 10:16:21	ga_s2bm_ard_3-2-1_54HTJ_2024-05-05_final.stac-item
2024-05-05 10:17:40	ga_s2bm_ard_3-2-1_54HTC_2024-05-05_nrt.stac-item
2024-05-15 10:17:38	ga_s2bm_ard_3-2-1_54HTC_2024-05-15_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

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