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
2021-05-06 09:25:19	ga_s2bm_ard_3-2-1_56JNL_2021-05-05_final
2021-05-16 09:25:21	ga_s2bm_ard_3-2-1_56JNL_2021-05-15_final
2021-05-26 09:25:22	ga_s2bm_ard_3-2-1_56JNL_2021-05-25_final
2021-06-05 09:25:23	ga_s2bm_ard_3-2-1_56JNL_2021-06-04_final
2021-06-15 09:25:23	ga_s2bm_ard_3-2-1_56JNL_2021-06-14_final
2021-06-25 09:25:22	ga_s2bm_ard_3-2-1_56JNL_2021-06-24_final
2021-07-05 09:25:23	ga_s2bm_ard_3-2-1_56JNL_2021-07-04_final
2021-07-15 09:25:24	ga_s2bm_ard_3-2-1_56JNL_2021-07-14_final
2021-07-25 09:25:24	ga_s2bm_ard_3-2-1_56JNL_2021-07-24_final
2021-08-04 09:25:23	ga_s2bm_ard_3-2-1_56JNL_2021-08-03_final
2021-08-14 09:25:22	ga_s2bm_ard_3-2-1_56JNL_2021-08-13_final
2021-08-24 09:25:20	ga_s2bm_ard_3-2-1_56JNL_2021-08-23_final
2021-09-03 09:25:18	ga_s2bm_ard_3-2-1_56JNL_2021-09-02_final
2021-09-13 09:25:18	ga_s2bm_ard_3-2-1_56JNL_2021-09-12_final
2021-09-23 09:25:19	ga_s2bm_ard_3-2-1_56JNL_2021-09-22_final
2021-10-03 09:25:21	ga_s2bm_ard_3-2-1_56JNL_2021-10-02_final
2021-10-13 09:25:23	ga_s2bm_ard_3-2-1_56JNL_2021-10-12_final
2021-10-23 09:25:23	ga_s2bm_ard_3-2-1_56JNL_2021-10-22_final
2021-11-02 09:25:23	ga_s2bm_ard_3-2-1_56JNL_2021-11-01_final
2021-11-12 09:25:21	ga_s2bm_ard_3-2-1_56JNL_2021-11-11_final
2021-11-22 09:25:18	ga_s2bm_ard_3-2-1_56JNL_2021-11-21_final
2021-12-02 09:25:17	ga_s2bm_ard_3-2-1_56JNL_2021-12-01_final
2021-12-12 09:25:16	ga_s2bm_ard_3-2-1_56JNL_2021-12-11_final
2021-12-22 09:25:16	ga_s2bm_ard_3-2-1_56JNL_2021-12-21_final
2022-01-01 09:25:18	ga_s2bm_ard_3-2-1_56JNL_2021-12-31_final
2022-01-11 09:25:18	ga_s2bm_ard_3-2-1_56JNL_2022-01-10_final
2022-01-21 09:25:17	ga_s2bm_ard_3-2-1_56JNL_2022-01-20_final
2022-01-31 09:25:16	ga_s2bm_ard_3-2-1_56JNL_2022-01-30_final
2022-02-10 09:25:16	ga_s2bm_ard_3-2-1_56JNL_2022-02-09_final
2022-02-20 09:25:16	ga_s2bm_ard_3-2-1_56JNL_2022-02-19_final
2022-03-02 09:25:18	ga_s2bm_ard_3-2-1_56JNL_2022-03-01_final
2022-03-12 09:25:20	ga_s2bm_ard_3-2-1_56JNL_2022-03-11_final
2022-03-22 09:25:19	ga_s2bm_ard_3-2-1_56JNL_2022-03-21_final
2022-04-01 09:25:18	ga_s2bm_ard_3-2-1_56JNL_2022-03-31_final
2022-04-11 09:25:18	ga_s2bm_ard_3-2-1_56JNL_2022-04-10_final
2022-04-21 09:25:17	ga_s2bm_ard_3-2-1_56JNL_2022-04-20_final
2022-05-01 09:25:15	ga_s2bm_ard_3-2-1_56JNL_2022-04-30_final
2022-05-11 09:25:19	ga_s2bm_ard_3-2-1_56JNL_2022-05-10_final
2022-05-21 09:25:22	ga_s2bm_ard_3-2-1_56JNL_2022-05-20_final
2022-05-31 09:25:22	ga_s2bm_ard_3-2-1_56JNL_2022-05-30_final
2022-06-10 09:25:24	ga_s2bm_ard_3-2-1_56JNL_2022-06-09_final
2022-06-20 09:25:26	ga_s2bm_ard_3-2-1_56JNL_2022-06-19_final
2022-06-30 09:25:27	ga_s2bm_ard_3-2-1_56JNL_2022-06-29_final
2022-07-10 09:25:26	ga_s2bm_ard_3-2-1_56JNL_2022-07-09_final
2022-07-20 09:25:26	ga_s2bm_ard_3-2-1_56JNL_2022-07-19_final
2022-07-30 09:25:27	ga_s2bm_ard_3-2-1_56JNL_2022-07-29_final
2022-08-09 09:25:26	ga_s2bm_ard_3-2-1_56JNL_2022-08-08_final
2022-08-19 09:25:24	ga_s2bm_ard_3-2-1_56JNL_2022-08-18_final
2022-08-29 09:25:22	ga_s2bm_ard_3-2-1_56JNL_2022-08-28_final
2022-12-17 09:26:18	ga_s2bm_ard_3-2-1_56HNG_2022-12-16_nrt.stac-item
2022-12-27 09:26:19	ga_s2bm_ard_3-2-1_56HNG_2022-12-26_nrt.stac-item
2023-01-06 09:26:17	ga_s2bm_ard_3-2-1_56HNG_2023-01-05_nrt.stac-item
2023-01-16 09:26:16	ga_s2bm_ard_3-2-1_56HNG_2023-01-15_nrt.stac-item
2023-01-26 09:26:17	ga_s2bm_ard_3-2-1_56HNG_2023-01-25_nrt.stac-item
2023-02-05 09:26:17	ga_s2bm_ard_3-2-1_56HNG_2023-02-04_nrt.stac-item
2023-02-15 09:26:17	ga_s2bm_ard_3-2-1_56HNG_2023-02-14_nrt.stac-item
2023-02-25 09:26:20	ga_s2bm_ard_3-2-1_56HNG_2023-02-24_nrt.stac-item
2023-03-07 09:26:22	ga_s2bm_ard_3-2-1_56HNG_2023-03-06_nrt.stac-item
2023-03-17 09:26:23	ga_s2bm_ard_3-2-1_56HNG_2023-03-16_nrt.stac-item
2023-03-27 09:26:22	ga_s2bm_ard_3-2-1_56HNG_2023-03-26_nrt.stac-item
2023-04-06 09:26:22	ga_s2bm_ard_3-2-1_56HNG_2023-04-05_nrt.stac-item
2023-04-26 09:26:21	ga_s2bm_ard_3-2-1_56HNG_2023-04-25_nrt.stac-item
2023-05-06 09:26:22	ga_s2bm_ard_3-2-1_56HNG_2023-05-05_nrt.stac-item
2023-05-16 09:26:23	ga_s2bm_ard_3-2-1_56HNG_2023-05-15_nrt.stac-item
2023-05-26 09:26:24	ga_s2bm_ard_3-2-1_56HNG_2023-05-25_nrt.stac-item
2023-06-05 09:26:24	ga_s2bm_ard_3-2-1_56HNG_2023-06-04_nrt.stac-item
2023-06-15 09:26:24	ga_s2bm_ard_3-2-1_56HNG_2023-06-14_nrt.stac-item
2023-06-25 09:26:24	ga_s2bm_ard_3-2-1_56HNG_2023-06-24_nrt.stac-item
2023-07-05 09:26:25	ga_s2bm_ard_3-2-1_56HNG_2023-07-04_nrt.stac-item
2023-07-15 09:26:24	ga_s2bm_ard_3-2-1_56HNG_2023-07-14_nrt.stac-item
2023-07-25 09:26:25	ga_s2bm_ard_3-2-1_56HNG_2023-07-24_nrt.stac-item
2023-08-04 09:26:24	ga_s2bm_ard_3-2-1_56HNG_2023-08-03_nrt.stac-item
2023-08-14 09:26:25	ga_s2bm_ard_3-2-1_56HNG_2023-08-13_nrt.stac-item
2023-08-24 09:26:23	ga_s2bm_ard_3-2-1_56HNG_2023-08-23_nrt.stac-item
2023-09-03 09:26:24	ga_s2bm_ard_3-2-1_56HNG_2023-09-02_nrt.stac-item
2023-09-13 09:26:22	ga_s2bm_ard_3-2-1_56HNG_2023-09-12_nrt.stac-item
2023-09-23 09:26:23	ga_s2bm_ard_3-2-1_56HNG_2023-09-22_nrt.stac-item
2023-10-03 09:26:20	ga_s2bm_ard_3-2-1_56HNG_2023-10-02_nrt.stac-item
2023-10-13 09:26:21	ga_s2bm_ard_3-2-1_56HNG_2023-10-12_nrt.stac-item
2023-10-23 09:26:21	ga_s2bm_ard_3-2-1_56HNG_2023-10-22_nrt.stac-item
2023-11-02 09:26:22	ga_s2bm_ard_3-2-1_56HNG_2023-11-01_nrt.stac-item
2023-11-12 09:26:20	ga_s2bm_ard_3-2-1_56HNG_2023-11-11_nrt.stac-item
2023-11-22 09:26:15	ga_s2bm_ard_3-2-1_56HNG_2023-11-21_nrt.stac-item
2023-12-02 09:26:16	ga_s2bm_ard_3-2-1_56HNG_2023-12-01_nrt.stac-item
2023-12-12 09:26:16	ga_s2bm_ard_3-2-1_56HNG_2023-12-11_nrt.stac-item
2023-12-22 09:26:20	ga_s2bm_ard_3-2-1_56HNG_2023-12-21_nrt.stac-item
2024-01-01 09:26:20	ga_s2bm_ard_3-2-1_56HNG_2023-12-31_nrt.stac-item
2024-01-11 09:26:17	ga_s2bm_ard_3-2-1_56HNG_2024-01-10_nrt.stac-item
2024-01-21 09:26:19	ga_s2bm_ard_3-2-1_56HNG_2024-01-20_nrt.stac-item
2024-01-31 09:26:17	ga_s2bm_ard_3-2-1_56HNG_2024-01-30_nrt.stac-item
2024-02-10 09:26:20	ga_s2bm_ard_3-2-1_56HNG_2024-02-09_nrt.stac-item
2024-02-20 09:26:20	ga_s2bm_ard_3-2-1_56HNG_2024-02-19_nrt.stac-item
2024-03-01 09:26:17	ga_s2bm_ard_3-2-1_56HNG_2024-02-29_nrt.stac-item
2024-03-11 09:26:15	ga_s2bm_ard_3-2-1_56HNG_2024-03-10_nrt.stac-item
2024-03-21 09:26:19	ga_s2bm_ard_3-2-1_56HNG_2024-03-20_nrt.stac-item
2024-03-31 09:26:19	ga_s2bm_ard_3-2-1_56HNG_2024-03-30_nrt.stac-item
2024-04-10 09:26:19	ga_s2bm_ard_3-2-1_56HNG_2024-04-09_nrt.stac-item
2024-04-20 09:26:20	ga_s2bm_ard_3-2-1_56HNG_2024-04-19_nrt.stac-item
2024-04-30 09:26:19	ga_s2bm_ard_3-2-1_56HNG_2024-04-29_nrt.stac-item
2024-05-10 09:26:20	ga_s2bm_ard_3-2-1_56HNG_2024-05-09_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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