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
2019-01-03 11:26:45	ga_s2bm_ard_3-2-1_51HXC_2019-01-03_final.stac-item
2019-01-23 11:27:08	ga_s2bm_ard_3-2-1_51HWB_2019-01-23_final.stac-item
2019-02-09 11:17:08	ga_s2bm_ard_3-2-1_51HWB_2019-02-09_final.stac-item
2019-03-31 11:17:08	ga_s2bm_ard_3-2-1_51HXB_2019-03-31_final.stac-item
2019-04-26 11:37:19	ga_s2bm_ard_3-2-1_51HUB_2019-04-26_final.stac-item
2019-05-10 11:17:15	ga_s2bm_ard_3-2-1_51HXB_2019-05-10_final.stac-item
2019-05-20 11:17:15	ga_s2bm_ard_3-2-1_51HXB_2019-05-20_final.stac-item
2019-05-26 11:37:21	ga_s2bm_ard_3-2-1_51HUB_2019-05-26_final.stac-item
2019-07-02 11:26:56	ga_s2bm_ard_3-2-1_51HXC_2019-07-02_final.stac-item
2019-07-02 11:27:21	ga_s2bm_ard_3-2-1_51HUB_2019-07-02_final.stac-item
2019-07-12 11:26:56	ga_s2bm_ard_3-2-1_51HXC_2019-07-12_final.stac-item
2019-07-12 11:27:17	ga_s2bm_ard_3-2-1_51HWB_2019-07-12_final.stac-item
2019-07-19 11:17:16	ga_s2bm_ard_3-2-1_51HWB_2019-07-19_final.stac-item
2019-07-22 11:27:21	ga_s2bm_ard_3-2-1_51HUB_2019-07-22_final.stac-item
2019-08-11 11:26:54	ga_s2bm_ard_3-2-1_51HXC_2019-08-11_final.stac-item
2019-08-18 11:17:01	ga_s2bm_ard_3-2-1_51HXC_2019-08-18_final.stac-item
2019-08-18 11:17:12	ga_s2bm_ard_3-2-1_51HWB_2019-08-18_final.stac-item
2019-08-28 11:17:09	ga_s2bm_ard_3-2-1_51HXB_2019-08-28_final.stac-item
2019-08-31 11:26:51	ga_s2bm_ard_3-2-1_51HXC_2019-08-31_final.stac-item
2019-09-17 11:17:06	ga_s2bm_ard_3-2-1_51HXB_2019-09-17_final.stac-item
2019-09-20 11:27:10	ga_s2bm_ard_3-2-1_51HUB_2019-09-20_final.stac-item
2019-10-20 11:27:12	ga_s2bm_ard_3-2-1_51HUB_2019-10-20_final.stac-item
2019-10-30 11:26:48	ga_s2bm_ard_3-2-1_51HXC_2019-10-30_final.stac-item
2019-12-19 11:26:42	ga_s2bm_ard_3-2-1_51HXC_2019-12-19_final.stac-item
2019-12-26 11:17:03	ga_s2bm_ard_3-2-1_51HWB_2019-12-26_final.stac-item
2020-01-08 11:27:07	ga_s2bm_ard_3-2-1_51HUB_2020-01-08_final.stac-item
2020-01-18 11:27:06	ga_s2bm_ard_3-2-1_51HUB_2020-01-18_final.stac-item
2020-01-25 11:17:01	ga_s2bm_ard_3-2-1_51HWB_2020-01-25_final.stac-item
2020-01-28 11:27:05	ga_s2bm_ard_3-2-1_51HUB_2020-01-28_final.stac-item
2020-02-04 11:17:00	ga_s2bm_ard_3-2-1_51HXB_2020-02-04_final.stac-item
2020-02-10 11:37:07	ga_s2bm_ard_3-2-1_51HUB_2020-02-10_final.stac-item
2020-02-14 11:17:03	ga_s2bm_ard_3-2-1_51HWB_2020-02-14_final.stac-item
2020-02-17 11:27:04	ga_s2bm_ard_3-2-1_51HWB_2020-02-17_final.stac-item
2020-02-17 11:27:08	ga_s2bm_ard_3-2-1_51HUB_2020-02-17_final.stac-item
2020-03-08 11:27:06	ga_s2bm_ard_3-2-1_51HWB_2020-03-08_final.stac-item
2020-03-28 11:27:06	ga_s2bm_ard_3-2-1_51HWB_2020-03-28_final.stac-item
2020-04-04 11:16:52	ga_s2bm_ard_3-2-1_51HXC_2020-04-04_final.stac-item
2020-04-10 11:37:09	ga_s2bm_ard_3-2-1_51HUB_2020-04-10_final.stac-item
2020-04-17 11:27:04	ga_s2bm_ard_3-2-1_51HWB_2020-04-17_final.stac-item
2020-04-17 11:27:08	ga_s2bm_ard_3-2-1_51HUB_2020-04-17_final.stac-item
2020-04-20 11:37:07	ga_s2bm_ard_3-2-1_51HUB_2020-04-20_final.stac-item
2020-04-24 11:17:02	ga_s2bm_ard_3-2-1_51HWB_2020-04-24_final.stac-item
2020-05-07 11:27:06	ga_s2bm_ard_3-2-1_51HWB_2020-05-07_final.stac-item
2020-05-10 11:37:10	ga_s2bm_ard_3-2-1_51HUB_2020-05-10_final.stac-item
2020-05-20 11:37:12	ga_s2bm_ard_3-2-1_51HUB_2020-05-20_final.stac-item
2020-06-13 11:17:10	ga_s2bm_ard_3-2-1_51HWB_2020-06-13_final.stac-item
2020-06-23 11:17:09	ga_s2bm_ard_3-2-1_51HXB_2020-06-23_final.stac-item
2020-06-29 11:37:15	ga_s2bm_ard_3-2-1_51HUB_2020-06-29_final.stac-item
2020-07-16 11:27:13	ga_s2bm_ard_3-2-1_51HUB_2020-07-16_final.stac-item
2020-07-19 11:37:14	ga_s2bm_ard_3-2-1_51HUB_2020-07-19_final.stac-item
2020-07-26 11:27:14	ga_s2bm_ard_3-2-1_51HUB_2020-07-26_final.stac-item
2020-08-12 11:16:59	ga_s2bm_ard_3-2-1_51HXC_2020-08-12_final.stac-item
2020-08-25 11:26:51	ga_s2bm_ard_3-2-1_51HXC_2020-08-25_final.stac-item
2020-08-25 11:27:16	ga_s2bm_ard_3-2-1_51HUB_2020-08-25_final.stac-item
2020-09-01 11:17:09	ga_s2bm_ard_3-2-1_51HXB_2020-09-01_final.stac-item
2020-09-11 11:16:57	ga_s2bm_ard_3-2-1_51HXC_2020-09-11_final.stac-item
2020-09-11 11:17:09	ga_s2bm_ard_3-2-1_51HXB_2020-09-11_final.stac-item
2020-09-17 11:37:14	ga_s2bm_ard_3-2-1_51HUB_2020-09-17_final.stac-item
2020-09-24 11:26:50	ga_s2bm_ard_3-2-1_51HXC_2020-09-24_final.stac-item
2020-09-24 11:27:11	ga_s2bm_ard_3-2-1_51HWB_2020-09-24_final.stac-item
2020-10-04 11:27:12	ga_s2bm_ard_3-2-1_51HWB_2020-10-04_final.stac-item
2020-11-13 11:26:48	ga_s2bm_ard_3-2-1_51HXC_2020-11-13_final.stac-item
2020-11-20 11:16:56	ga_s2bm_ard_3-2-1_51HXC_2020-11-20_final.stac-item
2020-11-20 11:17:07	ga_s2bm_ard_3-2-1_51HXB_2020-11-20_final.stac-item
2020-12-03 11:26:47	ga_s2bm_ard_3-2-1_51HXC_2020-12-03_final.stac-item
2020-12-03 11:27:07	ga_s2bm_ard_3-2-1_51HWB_2020-12-03_final.stac-item
2020-12-10 11:17:05	ga_s2bm_ard_3-2-1_51HWB_2020-12-10_final.stac-item
2020-12-13 11:27:05	ga_s2bm_ard_3-2-1_51HUB_2020-12-13_final.stac-item
2020-12-13 11:27:07	ga_s2bm_ard_3-2-1_51HWB_2020-12-13_final.stac-item
2020-12-13 11:27:09	ga_s2bm_ard_3-2-1_51HUB_2020-12-13_final.stac-item
2022-01-24 11:17:02	ga_s2bm_ard_3-2-1_51HWB_2022-01-24_final.stac-item
2022-02-06 11:27:03	ga_s2bm_ard_3-2-1_51HWB_2022-02-06_final.stac-item
2022-02-13 11:17:02	ga_s2bm_ard_3-2-1_51HWB_2022-02-13_final.stac-item
2022-02-23 11:17:01	ga_s2bm_ard_3-2-1_51HXB_2022-02-23_final.stac-item
2022-03-08 11:27:06	ga_s2bm_ard_3-2-1_51HWB_2022-03-08_final.stac-item
2022-03-25 11:17:05	ga_s2bm_ard_3-2-1_51HWB_2022-03-25_final.stac-item
2022-03-28 11:27:09	ga_s2bm_ard_3-2-1_51HUB_2022-03-28_final.stac-item
2022-04-04 11:16:52	ga_s2bm_ard_3-2-1_51HXC_2022-04-04_final.stac-item
2022-04-07 11:27:09	ga_s2bm_ard_3-2-1_51HUB_2022-04-07_final.stac-item
2022-04-14 11:17:03	ga_s2bm_ard_3-2-1_51HXB_2022-04-14_final.stac-item
2022-04-14 11:17:04	ga_s2bm_ard_3-2-1_51HWB_2022-04-14_final.stac-item
2022-05-10 11:37:09	ga_s2bm_ard_3-2-1_51HUB_2022-05-10_final.stac-item
2022-05-20 11:37:12	ga_s2bm_ard_3-2-1_51HUB_2022-05-20_final.stac-item
2022-06-09 11:37:14	ga_s2bm_ard_3-2-1_51HUB_2022-06-09_final.stac-item
2022-06-23 11:17:11	ga_s2bm_ard_3-2-1_51HXB_2022-06-23_final.stac-item
2022-06-26 11:27:17	ga_s2bm_ard_3-2-1_51HUB_2022-06-26_final.stac-item
2022-07-03 11:17:00	ga_s2bm_ard_3-2-1_51HXC_2022-07-03_final.stac-item
2022-07-06 11:27:17	ga_s2bm_ard_3-2-1_51HUB_2022-07-06_final.stac-item
2022-07-13 11:16:59	ga_s2bm_ard_3-2-1_51HXC_2022-07-13_final.stac-item
2022-07-23 11:17:00	ga_s2bm_ard_3-2-1_51HXC_2022-07-23_final.stac-item
2022-07-26 11:27:17	ga_s2bm_ard_3-2-1_51HUB_2022-07-26_final.stac-item
2022-08-02 11:17:12	ga_s2bm_ard_3-2-1_51HWB_2022-08-02_final.stac-item
2022-08-05 11:26:52	ga_s2bm_ard_3-2-1_51HXC_2022-08-05_final.stac-item
2022-08-12 11:17:11	ga_s2bm_ard_3-2-1_51HWB_2022-08-12_final.stac-item
2023-09-09 11:27:15	ga_s2bm_ard_3-2-1_51HUB_2023-09-09_final.stac-item
2023-09-21 12:00:58	ga_s2bm_ard_3-2-1_50LNN_2023-09-21_nrt.stac-item
2023-09-21 12:01:30	ga_s2bm_ard_3-2-1_50LML_2023-09-21_nrt.stac-item
2023-09-21 12:01:40	ga_s2bm_ard_3-2-1_50LMK_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 12:03:21	ga_s2bm_ard_3-2-1_49KHU_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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