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
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50KPD_2018-01-07_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KPD_2018-01-17_final.stac-item
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50KPD_2018-01-27_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50KPD_2018-02-06_final.stac-item
2018-02-16 11:50:39	ga_s2bm_ard_3-2-1_50KPD_2018-02-16_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50KPD_2018-03-08_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50KPD_2018-03-18_final.stac-item
2018-04-07 11:46:20	ga_s2bm_ard_3-2-1_50KPD_2018-04-07_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KPD_2018-04-17_final.stac-item
2018-04-27 11:48:10	ga_s2bm_ard_3-2-1_50KPD_2018-04-27_final.stac-item
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KPD_2018-05-07_final.stac-item
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KPF_2018-05-07_final.stac-item
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50KPD_2018-05-17_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KPF_2018-06-06_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50KPD_2018-06-16_final.stac-item
2018-06-26 11:47:27	ga_s2bm_ard_3-2-1_50KPD_2018-06-26_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50KPD_2018-07-26_final.stac-item
2018-08-05 11:46:08	ga_s2bm_ard_3-2-1_50KQE_2018-08-05_final.stac-item
2018-08-15 11:43:38	ga_s2bm_ard_3-2-1_50KPD_2018-08-15_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50KPD_2018-08-25_final.stac-item
2018-09-04 11:46:03	ga_s2bm_ard_3-2-1_50KPD_2018-09-04_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50KPD_2018-09-04_final.stac-item
2018-10-24 11:43:41	ga_s2bm_ard_3-2-1_50KPD_2018-10-24_final.stac-item
2018-12-13 11:53:00	ga_s2bm_ard_3-2-1_50KPD_2018-12-13_final.stac-item
2018-12-23 11:53:02	ga_s2bm_ard_3-2-1_50KPD_2018-12-23_final.stac-item
2019-01-02 11:53:04	ga_s2bm_ard_3-2-1_50KPD_2019-01-02_final.stac-item
2019-01-12 11:53:06	ga_s2bm_ard_3-2-1_50KPD_2019-01-12_final.stac-item
2019-01-22 11:53:06	ga_s2bm_ard_3-2-1_50KPD_2019-01-22_final.stac-item
2019-02-01 11:53:07	ga_s2bm_ard_3-2-1_50KPD_2019-02-01_final.stac-item
2019-02-11 11:53:07	ga_s2bm_ard_3-2-1_50KPD_2019-02-11_final.stac-item
2019-02-21 11:53:04	ga_s2bm_ard_3-2-1_50KPD_2019-02-21_final.stac-item
2019-03-03 11:53:05	ga_s2bm_ard_3-2-1_50KPD_2019-03-03_final.stac-item
2019-03-13 11:53:04	ga_s2bm_ard_3-2-1_50KPD_2019-03-13_final.stac-item
2019-03-23 11:53:07	ga_s2bm_ard_3-2-1_50KPD_2019-03-23_final.stac-item
2019-04-02 11:53:09	ga_s2bm_ard_3-2-1_50KPD_2019-04-02_final.stac-item
2019-04-12 11:52:42	ga_s2bm_ard_3-2-1_50KPF_2019-04-12_final.stac-item
2019-04-12 11:53:11	ga_s2bm_ard_3-2-1_50KPD_2019-04-12_final.stac-item
2019-04-22 11:52:44	ga_s2bm_ard_3-2-1_50KPF_2019-04-22_final.stac-item
2019-05-02 11:52:45	ga_s2bm_ard_3-2-1_50KPF_2019-05-02_final.stac-item
2019-05-02 11:53:14	ga_s2bm_ard_3-2-1_50KPD_2019-05-02_final.stac-item
2019-05-12 11:52:46	ga_s2bm_ard_3-2-1_50KPF_2019-05-12_final.stac-item
2019-05-12 11:53:15	ga_s2bm_ard_3-2-1_50KPD_2019-05-12_final.stac-item
2019-05-22 11:53:15	ga_s2bm_ard_3-2-1_50KPD_2019-05-22_final.stac-item
2019-06-21 11:53:14	ga_s2bm_ard_3-2-1_50KPD_2019-06-21_final.stac-item
2019-07-01 11:53:24	ga_s2bm_ard_3-2-1_50KPD_2019-07-01_final.stac-item
2019-07-11 11:53:15	ga_s2bm_ard_3-2-1_50KPD_2019-07-11_final.stac-item
2019-07-21 11:53:15	ga_s2bm_ard_3-2-1_50KPD_2019-07-21_final.stac-item
2019-08-10 11:53:13	ga_s2bm_ard_3-2-1_50KPD_2019-08-10_final.stac-item
2019-08-20 11:53:12	ga_s2bm_ard_3-2-1_50KPD_2019-08-20_final.stac-item
2019-08-30 11:53:10	ga_s2bm_ard_3-2-1_50KPD_2019-08-30_final.stac-item
2019-09-09 11:53:08	ga_s2bm_ard_3-2-1_50KPD_2019-09-09_final.stac-item
2019-10-09 11:53:07	ga_s2bm_ard_3-2-1_50KPD_2019-10-09_final.stac-item
2019-10-29 11:52:38	ga_s2bm_ard_3-2-1_50KPF_2019-10-29_final.stac-item
2019-10-29 11:53:07	ga_s2bm_ard_3-2-1_50KPD_2019-10-29_final.stac-item
2019-12-08 11:53:01	ga_s2bm_ard_3-2-1_50KPD_2019-12-08_final.stac-item
2019-12-18 11:53:01	ga_s2bm_ard_3-2-1_50KPD_2019-12-18_final.stac-item
2019-12-28 11:53:02	ga_s2bm_ard_3-2-1_50KPD_2019-12-28_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 12:03:30	ga_s2bm_ard_3-2-1_50KLC_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 12:03:48	ga_s2bm_ard_3-2-1_50KNA_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 12:04:02	ga_s2bm_ard_3-2-1_50KKA_2023-09-11_final.stac-item
2023-09-11 12:04:10	ga_s2bm_ard_3-2-1_50KMV_2023-09-11_final.stac-item
2023-09-11 12:04:14	ga_s2bm_ard_3-2-1_50KLV_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 12:04:28	ga_s2bm_ard_3-2-1_50KLU_2023-09-11_final.stac-item
2023-09-11 12:04:32	ga_s2bm_ard_3-2-1_50KKU_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_49JHN_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 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2023-09-11_final.stac-item
2023-09-11 12:05:01	ga_s2bm_ard_3-2-1_50JKS_2023-09-11_final.stac-item
2023-09-11 12:05:12	ga_s2bm_ard_3-2-1_49JFM_2023-09-11_final.stac-item
2023-09-11 12:05:15	ga_s2bm_ard_3-2-1_50JKR_2023-09-11_final.stac-item
2023-09-11 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2023-09-11_final.stac-item
2023-09-11 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2023-09-11_final.stac-item
2023-09-11 12:05:23	ga_s2bm_ard_3-2-1_50JKR_2023-09-11_final.stac-item
2023-09-11 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2023-09-11_final.stac-item
2023-09-11 12:05:25	ga_s2bm_ard_3-2-1_49JGL_2023-09-11_final.stac-item
2023-09-11 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2023-09-11_final.stac-item
2023-09-11 12:05:29	ga_s2bm_ard_3-2-1_50JLQ_2023-09-11_final.stac-item
2023-09-11 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2023-09-11_final.stac-item
2023-09-11 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2023-09-11_final.stac-item
2023-09-11 12:05:41	ga_s2bm_ard_3-2-1_50JLP_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 12:05:55	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 12:06:08	ga_s2bm_ard_3-2-1_50JLM_2023-09-11_final.stac-item
2023-09-21 12:05:23	ga_s2bm_ard_3-2-1_49JFL_2023-09-21_nrt.stac-item
2023-09-21 12:05:36	ga_s2bm_ard_3-2-1_49JFK_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 12:06:28	ga_s2bm_ard_3-2-1_49JFF_2023-09-21_nrt.stac-item
2023-09-22 11:37:32	ga_s2bm_ard_3-2-1_50HQF_2023-09-22_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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