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
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGH_2018-01-10_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KQE_2018-01-17_final.stac-item
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50KQE_2018-01-27_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50KQE_2018-02-26_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JGH_2018-03-21_final.stac-item
2018-11-06 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2018-11-06_final.stac-item
2019-01-02 11:52:46	ga_s2bm_ard_3-2-1_50KQE_2019-01-02_final.stac-item
2019-01-05 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2019-01-05_final.stac-item
2019-01-15 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2019-01-15_final.stac-item
2019-01-22 11:52:48	ga_s2bm_ard_3-2-1_50KQE_2019-01-22_final.stac-item
2019-01-22 11:52:57	ga_s2bm_ard_3-2-1_50KQE_2019-01-22_final.stac-item
2019-01-25 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2019-01-25_final.stac-item
2019-02-01 11:52:49	ga_s2bm_ard_3-2-1_50KQE_2019-02-01_final.stac-item
2019-02-04 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2019-02-04_final.stac-item
2019-02-11 11:52:49	ga_s2bm_ard_3-2-1_50KQE_2019-02-11_final.stac-item
2019-02-14 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2019-02-14_final.stac-item
2019-02-21 11:52:48	ga_s2bm_ard_3-2-1_50KQE_2019-02-21_final.stac-item
2019-03-03 11:52:47	ga_s2bm_ard_3-2-1_50KQE_2019-03-03_final.stac-item
2019-03-06 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2019-03-06_final.stac-item
2019-03-13 11:52:46	ga_s2bm_ard_3-2-1_50KQE_2019-03-13_final.stac-item
2019-03-16 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2019-03-16_final.stac-item
2019-03-26 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2019-03-26_final.stac-item
2019-04-05 12:06:01	ga_s2bm_ard_3-2-1_49JGH_2019-04-05_final.stac-item
2019-04-15 12:06:03	ga_s2bm_ard_3-2-1_49JGH_2019-04-15_final.stac-item
2019-04-25 12:06:05	ga_s2bm_ard_3-2-1_49JGH_2019-04-25_final.stac-item
2019-05-05 12:06:06	ga_s2bm_ard_3-2-1_49JGH_2019-05-05_final.stac-item
2019-05-05 12:06:14	ga_s2bm_ard_3-2-1_49JGH_2019-05-05_final.stac-item
2019-05-15 12:06:07	ga_s2bm_ard_3-2-1_49JGH_2019-05-15_final.stac-item
2019-05-25 12:06:07	ga_s2bm_ard_3-2-1_49JGH_2019-05-25_final.stac-item
2019-06-04 12:06:06	ga_s2bm_ard_3-2-1_49JGH_2019-06-04_final.stac-item
2019-06-14 12:06:05	ga_s2bm_ard_3-2-1_49JGH_2019-06-14_final.stac-item
2019-06-21 11:52:56	ga_s2bm_ard_3-2-1_50KQE_2019-06-21_final.stac-item
2019-06-24 12:06:06	ga_s2bm_ard_3-2-1_49JGH_2019-06-24_final.stac-item
2019-07-01 11:52:57	ga_s2bm_ard_3-2-1_50KQE_2019-07-01_final.stac-item
2019-07-04 12:06:07	ga_s2bm_ard_3-2-1_49JGH_2019-07-04_final.stac-item
2019-07-11 11:52:57	ga_s2bm_ard_3-2-1_50KQE_2019-07-11_final.stac-item
2019-07-14 12:06:07	ga_s2bm_ard_3-2-1_49JGH_2019-07-14_final.stac-item
2019-07-21 11:52:57	ga_s2bm_ard_3-2-1_50KQE_2019-07-21_final.stac-item
2019-07-24 12:06:07	ga_s2bm_ard_3-2-1_49JGH_2019-07-24_final.stac-item
2019-07-31 11:52:57	ga_s2bm_ard_3-2-1_50KQE_2019-07-31_final.stac-item
2019-08-03 12:06:06	ga_s2bm_ard_3-2-1_49JGH_2019-08-03_final.stac-item
2019-08-10 11:52:56	ga_s2bm_ard_3-2-1_50KQE_2019-08-10_final.stac-item
2019-08-13 12:06:05	ga_s2bm_ard_3-2-1_49JGH_2019-08-13_final.stac-item
2019-08-20 11:52:54	ga_s2bm_ard_3-2-1_50KQE_2019-08-20_final.stac-item
2019-08-23 12:06:03	ga_s2bm_ard_3-2-1_49JGH_2019-08-23_final.stac-item
2019-08-30 11:52:52	ga_s2bm_ard_3-2-1_50KQE_2019-08-30_final.stac-item
2019-09-02 12:06:01	ga_s2bm_ard_3-2-1_49JGH_2019-09-02_final.stac-item
2019-09-12 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2019-09-12_final.stac-item
2019-09-22 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2019-09-22_final.stac-item
2019-10-02 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2019-10-02_final.stac-item
2019-10-12 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2019-10-12_final.stac-item
2019-10-22 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2019-10-22_final.stac-item
2019-11-01 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2019-11-01_final.stac-item
2019-11-11 12:05:57	ga_s2bm_ard_3-2-1_49JGH_2019-11-11_final.stac-item
2019-11-21 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2019-11-21_final.stac-item
2019-12-01 12:05:53	ga_s2bm_ard_3-2-1_49JGH_2019-12-01_final.stac-item
2019-12-08 11:52:43	ga_s2bm_ard_3-2-1_50KQE_2019-12-08_final.stac-item
2019-12-11 12:05:52	ga_s2bm_ard_3-2-1_49JGH_2019-12-11_final.stac-item
2019-12-18 11:52:43	ga_s2bm_ard_3-2-1_50KQE_2019-12-18_final.stac-item
2019-12-21 12:05:53	ga_s2bm_ard_3-2-1_49JGH_2019-12-21_final.stac-item
2019-12-28 11:52:44	ga_s2bm_ard_3-2-1_50KQE_2019-12-28_final.stac-item
2019-12-31 12:05:53	ga_s2bm_ard_3-2-1_49JGH_2019-12-31_final.stac-item
2022-03-30 12:05:55	ga_s2bm_ard_3-2-1_49JGH_2022-03-30_final.stac-item
2022-06-05 11:52:49	ga_s2bm_ard_3-2-1_50KQE_2022-06-05_final.stac-item
2023-09-11 12:03:23	ga_s2bm_ard_3-2-1_50KNC_2023-09-11_final.stac-item
2023-09-11 12:03:27	ga_s2bm_ard_3-2-1_50KMC_2023-09-11_final.stac-item
2023-09-11 12:03:37	ga_s2bm_ard_3-2-1_50KNB_2023-09-11_final.stac-item
2023-09-11 12:03:41	ga_s2bm_ard_3-2-1_50KMB_2023-09-11_final.stac-item
2023-09-11 12:03:45	ga_s2bm_ard_3-2-1_50KLB_2023-09-11_final.stac-item
2023-09-11 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2023-09-11_final.stac-item
2023-09-11 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-09-11_final.stac-item
2023-09-11 12:03:56	ga_s2bm_ard_3-2-1_50KMA_2023-09-11_final.stac-item
2023-09-11 12:03:59	ga_s2bm_ard_3-2-1_50KLA_2023-09-11_final.stac-item
2023-09-11 12:04:02	ga_s2bm_ard_3-2-1_50KKA_2023-09-11_final.stac-item
2023-09-11 12:04:17	ga_s2bm_ard_3-2-1_50KKV_2023-09-11_final.stac-item
2023-09-11 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2023-09-11_final.stac-item
2023-09-11 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2023-09-11_final.stac-item
2023-09-11 12:04:25	ga_s2bm_ard_3-2-1_50KMU_2023-09-11_final.stac-item
2023-09-11 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2023-09-11_final.stac-item
2023-09-11 12:04:39	ga_s2bm_ard_3-2-1_50JMT_2023-09-11_final.stac-item
2023-09-11 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2023-09-11_final.stac-item
2023-09-11 12:04:46	ga_s2bm_ard_3-2-1_50JKT_2023-09-11_final.stac-item
2023-09-11 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2023-09-11_final.stac-item
2023-09-11 12:04:52	ga_s2bm_ard_3-2-1_50JMS_2023-09-11_final.stac-item
2023-09-11 12:04:57	ga_s2bm_ard_3-2-1_50JLS_2023-09-11_final.stac-item
2023-09-11 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-09-11_final.stac-item
2023-09-11 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2023-09-11_final.stac-item
2023-09-11 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2023-09-11_final.stac-item
2023-09-11 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2023-09-11_final.stac-item
2023-09-11 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2023-09-11_final.stac-item
2023-09-11 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2023-09-11_final.stac-item
2023-09-11 12:06:02	ga_s2bm_ard_3-2-1_49JGH_2023-09-11_final.stac-item
2023-09-11 12:06:08	ga_s2bm_ard_3-2-1_50JLM_2023-09-11_final.stac-item
2023-09-11 12:06:18	ga_s2bm_ard_3-2-1_50JLL_2023-09-11_final.stac-item
2023-09-21 12:01:16	ga_s2bm_ard_3-2-1_50LMM_2023-09-21_nrt.stac-item
2023-09-21 12:03:12	ga_s2bm_ard_3-2-1_50KMD_2023-09-21_nrt.stac-item
2023-09-21 12:06:06	ga_s2bm_ard_3-2-1_49JFH_2023-09-21_nrt.stac-item
2023-09-21 12:06:20	ga_s2bm_ard_3-2-1_49JFG_2023-09-21_nrt.stac-item
2023-09-21 12:06:27	ga_s2bm_ard_3-2-1_49JGF_2023-09-21_nrt.stac-item
2023-09-21 12:06:28	ga_s2bm_ard_3-2-1_49JFF_2023-09-21_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

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