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
2019-01-13 11:27:09	ga_s2bm_ard_3-2-1_51HVB_2019-01-13_final.stac-item
2019-01-22 11:52:37	ga_s2bm_ard_3-2-1_50KPF_2019-01-22_final.stac-item
2019-01-22 11:52:48	ga_s2bm_ard_3-2-1_50KQE_2019-01-22_final.stac-item
2019-01-26 11:37:16	ga_s2bm_ard_3-2-1_51HTB_2019-01-26_final.stac-item
2019-02-02 11:27:14	ga_s2bm_ard_3-2-1_51HTB_2019-02-02_final.stac-item
2019-02-05 11:37:05	ga_s2bm_ard_3-2-1_51HTB_2019-02-05_final.stac-item
2019-02-11 11:52:37	ga_s2bm_ard_3-2-1_50KPF_2019-02-11_final.stac-item
2019-02-15 11:37:15	ga_s2bm_ard_3-2-1_51HTB_2019-02-15_final.stac-item
2019-02-21 11:52:37	ga_s2bm_ard_3-2-1_50KPF_2019-02-21_final.stac-item
2019-02-21 11:53:10	ga_s2bm_ard_3-2-1_50KPD_2019-02-21_final.stac-item
2019-03-03 11:52:28	ga_s2bm_ard_3-2-1_50KPF_2019-03-03_final.stac-item
2019-03-03 11:52:47	ga_s2bm_ard_3-2-1_50KQE_2019-03-03_final.stac-item
2019-03-04 11:27:12	ga_s2bm_ard_3-2-1_51HTB_2019-03-04_final.stac-item
2019-03-13 11:52:27	ga_s2bm_ard_3-2-1_50KPF_2019-03-13_final.stac-item
2019-03-13 11:52:35	ga_s2bm_ard_3-2-1_50KPF_2019-03-13_final.stac-item
2019-03-24 11:27:14	ga_s2bm_ard_3-2-1_51HTB_2019-03-24_final.stac-item
2019-04-06 11:37:19	ga_s2bm_ard_3-2-1_51HTB_2019-04-06_final.stac-item
2019-04-15 12:06:03	ga_s2bm_ard_3-2-1_49JGH_2019-04-15_final.stac-item
2019-04-22 11:53:13	ga_s2bm_ard_3-2-1_50KPD_2019-04-22_final.stac-item
2019-04-25 12:06:05	ga_s2bm_ard_3-2-1_49JGH_2019-04-25_final.stac-item
2019-05-06 11:37:24	ga_s2bm_ard_3-2-1_51HTB_2019-05-06_final.stac-item
2019-05-12 11:52:57	ga_s2bm_ard_3-2-1_50KQE_2019-05-12_final.stac-item
2019-05-13 11:27:23	ga_s2bm_ard_3-2-1_51HTB_2019-05-13_final.stac-item
2019-05-22 11:52:57	ga_s2bm_ard_3-2-1_50KQE_2019-05-22_final.stac-item
2019-05-26 11:37:24	ga_s2bm_ard_3-2-1_51HTB_2019-05-26_final.stac-item
2019-06-01 11:53:15	ga_s2bm_ard_3-2-1_50KPD_2019-06-01_final.stac-item
2019-06-04 12:06:06	ga_s2bm_ard_3-2-1_49JGH_2019-06-04_final.stac-item
2019-06-11 11:53:14	ga_s2bm_ard_3-2-1_50KPD_2019-06-11_final.stac-item
2019-07-01 11:53:15	ga_s2bm_ard_3-2-1_50KPD_2019-07-01_final.stac-item
2019-07-05 11:37:24	ga_s2bm_ard_3-2-1_51HTB_2019-07-05_final.stac-item
2019-08-30 11:52:41	ga_s2bm_ard_3-2-1_50KPF_2019-08-30_final.stac-item
2019-08-31 11:27:18	ga_s2bm_ard_3-2-1_51HTB_2019-08-31_final.stac-item
2019-09-19 11:53:06	ga_s2bm_ard_3-2-1_50KPD_2019-09-19_final.stac-item
2019-09-29 11:53:07	ga_s2bm_ard_3-2-1_50KPD_2019-09-29_final.stac-item
2019-09-30 11:27:13	ga_s2bm_ard_3-2-1_51HTB_2019-09-30_final.stac-item
2019-10-03 11:37:16	ga_s2bm_ard_3-2-1_51HTB_2019-10-03_final.stac-item
2019-10-09 11:52:38	ga_s2bm_ard_3-2-1_50KPF_2019-10-09_final.stac-item
2019-10-19 11:52:39	ga_s2bm_ard_3-2-1_50KPF_2019-10-19_final.stac-item
2019-10-19 11:53:08	ga_s2bm_ard_3-2-1_50KPD_2019-10-19_final.stac-item
2019-10-22 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2019-10-22_final.stac-item
2019-11-08 11:53:06	ga_s2bm_ard_3-2-1_50KPD_2019-11-08_final.stac-item
2019-11-18 11:52:35	ga_s2bm_ard_3-2-1_50KPF_2019-11-18_final.stac-item
2019-11-19 11:27:12	ga_s2bm_ard_3-2-1_51HTB_2019-11-19_final.stac-item
2019-11-28 11:53:02	ga_s2bm_ard_3-2-1_50KPD_2019-11-28_final.stac-item
2019-12-18 11:52:43	ga_s2bm_ard_3-2-1_50KQE_2019-12-18_final.stac-item
2019-12-19 11:27:09	ga_s2bm_ard_3-2-1_51HTB_2019-12-19_final.stac-item
2019-12-31 12:05:53	ga_s2bm_ard_3-2-1_49JGH_2019-12-31_final.stac-item
2020-02-10 11:37:10	ga_s2bm_ard_3-2-1_51HTB_2020-02-10_final.stac-item
2020-02-17 11:27:10	ga_s2bm_ard_3-2-1_51HTB_2020-02-17_final.stac-item
2020-02-20 11:37:12	ga_s2bm_ard_3-2-1_51HTB_2020-02-20_final.stac-item
2020-03-11 11:37:13	ga_s2bm_ard_3-2-1_51HTB_2020-03-11_final.stac-item
2020-03-28 11:27:12	ga_s2bm_ard_3-2-1_51HTB_2020-03-28_final.stac-item
2020-04-16 11:52:33	ga_s2bm_ard_3-2-1_50KPF_2020-04-16_final.stac-item
2020-04-27 11:27:09	ga_s2bm_ard_3-2-1_51HTB_2020-04-27_final.stac-item
2020-05-26 11:52:38	ga_s2bm_ard_3-2-1_50KPF_2020-05-26_final.stac-item
2020-05-27 11:27:15	ga_s2bm_ard_3-2-1_51HTB_2020-05-27_final.stac-item
2020-06-28 12:06:06	ga_s2bm_ard_3-2-1_49JGH_2020-06-28_final.stac-item
2020-07-15 11:52:39	ga_s2bm_ard_3-2-1_50KPF_2020-07-15_final.stac-item
2020-08-14 11:53:10	ga_s2bm_ard_3-2-1_50KPD_2020-08-14_final.stac-item
2020-08-24 11:52:41	ga_s2bm_ard_3-2-1_50KPF_2020-08-24_final.stac-item
2020-08-28 11:37:19	ga_s2bm_ard_3-2-1_51HTB_2020-08-28_final.stac-item
2020-09-13 11:53:09	ga_s2bm_ard_3-2-1_50KPD_2020-09-13_final.stac-item
2020-09-23 11:53:09	ga_s2bm_ard_3-2-1_50KPD_2020-09-23_final.stac-item
2020-09-26 12:06:01	ga_s2bm_ard_3-2-1_49JGH_2020-09-26_final.stac-item
2020-11-02 11:52:40	ga_s2bm_ard_3-2-1_50KPF_2020-11-02_final.stac-item
2020-11-05 12:06:00	ga_s2bm_ard_3-2-1_49JGH_2020-11-05_final.stac-item
2020-11-12 11:52:38	ga_s2bm_ard_3-2-1_50KPF_2020-11-12_final.stac-item
2020-11-13 11:27:15	ga_s2bm_ard_3-2-1_51HTB_2020-11-13_final.stac-item
2022-01-06 11:52:33	ga_s2bm_ard_3-2-1_50KPF_2022-01-06_final.stac-item
2022-01-06 11:53:03	ga_s2bm_ard_3-2-1_50KPD_2022-01-06_final.stac-item
2022-01-10 11:37:11	ga_s2bm_ard_3-2-1_51HTB_2022-01-10_final.stac-item
2022-01-16 11:52:33	ga_s2bm_ard_3-2-1_50KPF_2022-01-16_final.stac-item
2022-01-20 11:37:11	ga_s2bm_ard_3-2-1_51HTB_2022-01-20_final.stac-item
2022-01-26 11:53:01	ga_s2bm_ard_3-2-1_50KPD_2022-01-26_final.stac-item
2022-02-09 11:37:10	ga_s2bm_ard_3-2-1_51HTB_2022-02-09_final.stac-item
2022-02-25 11:53:02	ga_s2bm_ard_3-2-1_50KPD_2022-02-25_final.stac-item
2022-03-10 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2022-03-10_final.stac-item
2022-04-06 11:53:03	ga_s2bm_ard_3-2-1_50KPD_2022-04-06_final.stac-item
2022-04-10 11:37:12	ga_s2bm_ard_3-2-1_51HTB_2022-04-10_final.stac-item
2022-04-26 11:53:00	ga_s2bm_ard_3-2-1_50KPD_2022-04-26_final.stac-item
2022-06-08 12:06:00	ga_s2bm_ard_3-2-1_49JGH_2022-06-08_final.stac-item
2022-06-09 11:37:17	ga_s2bm_ard_3-2-1_51HTB_2022-06-09_final.stac-item
2022-06-18 12:06:02	ga_s2bm_ard_3-2-1_49JGH_2022-06-18_final.stac-item
2022-07-09 11:37:20	ga_s2bm_ard_3-2-1_51HTB_2022-07-09_final.stac-item
2022-08-14 11:53:10	ga_s2bm_ard_3-2-1_50KPD_2022-08-14_final.stac-item
2023-09-21 12:00:40	ga_s2bm_ard_3-2-1_50LPP_2023-09-21_nrt.stac-item
2023-09-21 12:00:55	ga_s2bm_ard_3-2-1_50LPN_2023-09-21_nrt.stac-item
2023-09-21 12:01:06	ga_s2bm_ard_3-2-1_50LQM_2023-09-21_nrt.stac-item
2023-09-21 12:01:19	ga_s2bm_ard_3-2-1_50LQL_2023-09-21_nrt.stac-item
2023-09-21 12:02:59	ga_s2bm_ard_3-2-1_50KNE_2023-09-21_nrt.stac-item
2023-09-21 12:03:00	ga_s2bm_ard_3-2-1_50KME_2023-09-21_nrt.stac-item
2023-09-21 12:03:02	ga_s2bm_ard_3-2-1_50KLE_2023-09-21_nrt.stac-item
2023-09-21 12:03:05	ga_s2bm_ard_3-2-1_50KKE_2023-09-21_nrt.stac-item
2023-09-21 12:03:09	ga_s2bm_ard_3-2-1_50KND_2023-09-21_nrt.stac-item
2023-09-21 12:03:15	ga_s2bm_ard_3-2-1_50KLD_2023-09-21_nrt.stac-item
2023-09-21 12:03:18	ga_s2bm_ard_3-2-1_50KKD_2023-09-21_nrt.stac-item
2023-09-21 12:03:21	ga_s2bm_ard_3-2-1_49KHU_2023-09-21_nrt.stac-item
2023-09-21 12:03:33	ga_s2bm_ard_3-2-1_50KKC_2023-09-21_nrt.stac-item
2023-09-21 12:03:33	ga_s2bm_ard_3-2-1_49KHT_2023-09-21_nrt.stac-item
2023-09-21 12:06:16	ga_s2bm_ard_3-2-1_49JGG_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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