Search ga_s2bm_ard_3 across 2019

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
2019-01-07 09:24:36	ga_s2bm_ard_3-2-1_56JNP_2019-01-06_final.stac-item
2019-01-07 09:28:00	ga_s2bm_ard_3-2-1_55GFR_2019-01-06_final
2019-01-10 09:34:31	ga_s2bm_ard_3-2-1_56JNP_2019-01-10_final.stac-item
2019-01-10 09:37:57	ga_s2bm_ard_3-2-1_55GFR_2019-01-10_final
2019-01-17 09:24:38	ga_s2bm_ard_3-2-1_56JNP_2019-01-16_final.stac-item
2019-01-17 09:28:01	ga_s2bm_ard_3-2-1_55GFR_2019-01-16_final
2019-01-20 09:34:32	ga_s2bm_ard_3-2-1_56JNP_2019-01-20_final.stac-item
2019-01-20 09:37:58	ga_s2bm_ard_3-2-1_55GFR_2019-01-20_final
2019-01-27 09:24:38	ga_s2bm_ard_3-2-1_56JNP_2019-01-26_final.stac-item
2019-01-27 09:28:01	ga_s2bm_ard_3-2-1_55GFR_2019-01-26_final
2019-01-30 09:34:33	ga_s2bm_ard_3-2-1_56JNP_2019-01-30_final.stac-item
2019-01-30 09:37:58	ga_s2bm_ard_3-2-1_55GFR_2019-01-30_final
2019-02-06 09:24:38	ga_s2bm_ard_3-2-1_56JNP_2019-02-05_final.stac-item
2019-02-06 09:28:02	ga_s2bm_ard_3-2-1_55GFR_2019-02-05_final
2019-02-09 09:34:33	ga_s2bm_ard_3-2-1_56JNP_2019-02-09_final.stac-item
2019-02-09 09:37:58	ga_s2bm_ard_3-2-1_55GFR_2019-02-09_final
2019-02-16 09:24:38	ga_s2bm_ard_3-2-1_56JNP_2019-02-15_final.stac-item
2019-02-16 09:28:01	ga_s2bm_ard_3-2-1_55GFR_2019-02-15_final
2019-02-19 09:34:32	ga_s2bm_ard_3-2-1_56JNP_2019-02-19_final.stac-item
2019-02-19 09:37:57	ga_s2bm_ard_3-2-1_55GFR_2019-02-19_final
2019-02-26 09:24:37	ga_s2bm_ard_3-2-1_56JNP_2019-02-25_final.stac-item
2019-02-26 09:28:00	ga_s2bm_ard_3-2-1_55GFR_2019-02-25_final
2019-03-01 09:34:31	ga_s2bm_ard_3-2-1_56JNP_2019-03-01_final.stac-item
2019-03-01 09:37:56	ga_s2bm_ard_3-2-1_55GFR_2019-03-01_final
2019-03-08 09:24:35	ga_s2bm_ard_3-2-1_56JNP_2019-03-07_final.stac-item
2019-03-08 09:27:59	ga_s2bm_ard_3-2-1_55GFR_2019-03-07_final
2019-03-11 09:34:30	ga_s2bm_ard_3-2-1_56JNP_2019-03-11_final.stac-item
2019-03-11 09:37:55	ga_s2bm_ard_3-2-1_55GFR_2019-03-11_final
2019-03-18 09:24:36	ga_s2bm_ard_3-2-1_56JNP_2019-03-17_final.stac-item
2019-03-18 09:28:00	ga_s2bm_ard_3-2-1_55GFR_2019-03-17_final
2019-03-21 09:34:32	ga_s2bm_ard_3-2-1_56JNP_2019-03-21_final.stac-item
2019-03-21 09:37:57	ga_s2bm_ard_3-2-1_55GFR_2019-03-21_final
2019-03-28 09:24:39	ga_s2bm_ard_3-2-1_56JNP_2019-03-27_final.stac-item
2019-03-28 09:28:03	ga_s2bm_ard_3-2-1_55GFR_2019-03-27_final
2019-03-31 09:34:35	ga_s2bm_ard_3-2-1_56JNP_2019-03-31_final.stac-item
2019-03-31 09:38:00	ga_s2bm_ard_3-2-1_55GFR_2019-03-31_final
2019-04-07 09:24:42	ga_s2bm_ard_3-2-1_56JNP_2019-04-06_final.stac-item
2019-04-07 09:28:05	ga_s2bm_ard_3-2-1_55GFR_2019-04-06_final
2019-04-10 09:34:37	ga_s2bm_ard_3-2-1_56JNP_2019-04-10_final.stac-item
2019-04-10 09:37:55	ga_s2bm_ard_3-2-1_55GFR_2019-04-10_final
2019-04-10 09:38:03	ga_s2bm_ard_3-2-1_55GFR_2019-04-10_final
2019-04-17 09:24:44	ga_s2bm_ard_3-2-1_56JNP_2019-04-16_final.stac-item
2019-04-17 09:28:07	ga_s2bm_ard_3-2-1_55GFR_2019-04-16_final
2019-04-20 09:37:57	ga_s2bm_ard_3-2-1_55GFR_2019-04-20_final
2019-04-20 09:38:04	ga_s2bm_ard_3-2-1_55GFR_2019-04-20_final
2019-04-27 09:28:08	ga_s2bm_ard_3-2-1_55GFR_2019-04-26_final
2019-04-30 09:37:59	ga_s2bm_ard_3-2-1_55GFR_2019-04-30_final
2019-04-30 09:38:06	ga_s2bm_ard_3-2-1_55GFR_2019-04-30_final
2019-05-07 09:28:09	ga_s2bm_ard_3-2-1_55GFR_2019-05-06_final
2019-05-10 09:38:06	ga_s2bm_ard_3-2-1_55GFR_2019-05-10_final
2019-05-17 09:28:10	ga_s2bm_ard_3-2-1_55GFR_2019-05-16_final
2019-05-20 09:38:00	ga_s2bm_ard_3-2-1_55GFR_2019-05-20_final
2019-05-20 09:38:07	ga_s2bm_ard_3-2-1_55GFR_2019-05-20_final
2019-05-27 09:28:10	ga_s2bm_ard_3-2-1_55GFR_2019-05-26_final
2019-05-30 09:38:06	ga_s2bm_ard_3-2-1_55GFR_2019-05-30_final
2019-05-30 09:38:14	ga_s2bm_ard_3-2-1_55GFR_2019-05-30_final
2019-06-06 09:28:09	ga_s2bm_ard_3-2-1_55GFR_2019-06-05_final
2019-06-09 09:37:59	ga_s2bm_ard_3-2-1_55GFR_2019-06-09_final
2019-06-09 09:38:06	ga_s2bm_ard_3-2-1_55GFR_2019-06-09_final
2019-06-16 09:28:09	ga_s2bm_ard_3-2-1_55GFR_2019-06-15_final
2019-06-19 09:37:59	ga_s2bm_ard_3-2-1_55GFR_2019-06-19_final
2019-06-19 09:38:06	ga_s2bm_ard_3-2-1_55GFR_2019-06-19_final
2019-06-26 09:28:10	ga_s2bm_ard_3-2-1_55GFR_2019-06-25_final
2019-06-29 09:38:00	ga_s2bm_ard_3-2-1_55GFR_2019-06-29_final
2019-06-29 09:38:07	ga_s2bm_ard_3-2-1_55GFR_2019-06-29_final
2019-07-06 09:28:10	ga_s2bm_ard_3-2-1_55GFR_2019-07-05_final
2019-07-09 09:38:00	ga_s2bm_ard_3-2-1_55GFR_2019-07-09_final
2019-07-09 09:38:07	ga_s2bm_ard_3-2-1_55GFR_2019-07-09_final
2019-07-16 09:28:10	ga_s2bm_ard_3-2-1_55GFR_2019-07-15_final
2019-07-19 09:38:00	ga_s2bm_ard_3-2-1_55GFR_2019-07-19_final
2019-07-19 09:38:07	ga_s2bm_ard_3-2-1_55GFR_2019-07-19_final
2019-07-29 09:38:06	ga_s2bm_ard_3-2-1_55GFR_2019-07-29_final
2019-08-05 09:28:09	ga_s2bm_ard_3-2-1_55GFR_2019-08-04_final
2019-08-08 09:37:58	ga_s2bm_ard_3-2-1_55GFR_2019-08-08_final
2019-08-08 09:38:06	ga_s2bm_ard_3-2-1_55GFR_2019-08-08_final
2019-08-15 09:28:08	ga_s2bm_ard_3-2-1_55GFR_2019-08-14_final
2019-08-18 09:37:57	ga_s2bm_ard_3-2-1_55GFR_2019-08-18_final
2019-08-18 09:38:04	ga_s2bm_ard_3-2-1_55GFR_2019-08-18_final
2019-08-25 09:28:06	ga_s2bm_ard_3-2-1_55GFR_2019-08-24_final
2019-08-28 09:37:55	ga_s2bm_ard_3-2-1_55GFR_2019-08-28_final
2019-09-04 09:28:04	ga_s2bm_ard_3-2-1_55GFR_2019-09-03_final
2019-09-07 09:37:53	ga_s2bm_ard_3-2-1_55GFR_2019-09-07_final
2019-09-14 09:28:02	ga_s2bm_ard_3-2-1_55GFR_2019-09-13_final
2019-09-17 09:37:58	ga_s2bm_ard_3-2-1_55GFR_2019-09-17_final
2019-09-24 09:28:01	ga_s2bm_ard_3-2-1_55GFR_2019-09-23_final
2019-09-27 09:37:58	ga_s2bm_ard_3-2-1_55GFR_2019-09-27_final
2019-10-14 09:28:02	ga_s2bm_ard_3-2-1_55GFR_2019-10-13_final
2019-10-17 09:37:59	ga_s2bm_ard_3-2-1_55GFR_2019-10-17_final
2019-10-24 09:28:02	ga_s2bm_ard_3-2-1_55GFR_2019-10-23_final
2019-10-27 09:37:59	ga_s2bm_ard_3-2-1_55GFR_2019-10-27_final
2019-11-03 09:28:02	ga_s2bm_ard_3-2-1_55GFR_2019-11-02_final
2019-11-06 09:37:58	ga_s2bm_ard_3-2-1_55GFR_2019-11-06_final
2019-11-13 09:28:00	ga_s2bm_ard_3-2-1_55GFR_2019-11-12_final
2019-11-16 09:37:56	ga_s2bm_ard_3-2-1_55GFR_2019-11-16_final
2019-11-23 09:27:58	ga_s2bm_ard_3-2-1_55GFR_2019-11-22_final
2019-12-03 09:27:56	ga_s2bm_ard_3-2-1_55GFR_2019-12-02_final
2019-12-06 09:37:52	ga_s2bm_ard_3-2-1_55GFR_2019-12-06_final
2019-12-16 09:37:53	ga_s2bm_ard_3-2-1_55GFR_2019-12-16_final
2019-12-23 09:24:33	ga_s2bm_ard_3-2-1_56JNP_2019-12-22_final.stac-item
2019-12-26 09:34:28	ga_s2bm_ard_3-2-1_56JNP_2019-12-26_final.stac-item

Return to ga_s2bm_ard_3 across 2019 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

2019

All months