Search ga_s2am_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
2019-01-01 09:56:18	ga_s2am_ard_3-2-1_54HYH_2019-01-01_final
2019-01-07 11:51:33	ga_s2am_ard_3-2-1_51LUD_2019-01-07_final.stac-item
2019-01-10 10:26:28	ga_s2am_ard_3-2-1_53HQC_2019-01-10_final
2019-01-11 09:56:20	ga_s2am_ard_3-2-1_54HYH_2019-01-11_final
2019-01-20 10:26:29	ga_s2am_ard_3-2-1_53HQC_2019-01-20_final
2019-01-21 09:56:21	ga_s2am_ard_3-2-1_54HYH_2019-01-21_final
2019-01-27 11:51:35	ga_s2am_ard_3-2-1_51LUD_2019-01-27_final.stac-item
2019-01-30 10:26:29	ga_s2am_ard_3-2-1_53HQC_2019-01-30_final
2019-01-31 09:56:21	ga_s2am_ard_3-2-1_54HYH_2019-01-31_final
2019-02-09 10:26:29	ga_s2am_ard_3-2-1_53HQC_2019-02-09_final
2019-02-10 09:56:21	ga_s2am_ard_3-2-1_54HYH_2019-02-10_final
2019-02-13 11:41:40	ga_s2am_ard_3-2-1_51LUD_2019-02-13_final.stac-item
2019-02-19 10:26:28	ga_s2am_ard_3-2-1_53HQC_2019-02-19_final
2019-02-20 09:56:21	ga_s2am_ard_3-2-1_54HYH_2019-02-20_final
2019-03-01 10:26:27	ga_s2am_ard_3-2-1_53HQC_2019-03-01_final
2019-03-02 09:56:20	ga_s2am_ard_3-2-1_54HYH_2019-03-02_final
2019-03-11 10:26:27	ga_s2am_ard_3-2-1_53HQC_2019-03-11_final
2019-03-12 09:56:20	ga_s2am_ard_3-2-1_54HYH_2019-03-12_final
2019-03-21 10:26:30	ga_s2am_ard_3-2-1_53HQC_2019-03-21_final
2019-03-22 09:56:23	ga_s2am_ard_3-2-1_54HYH_2019-03-22_final
2019-03-31 10:26:32	ga_s2am_ard_3-2-1_53HQC_2019-03-31_final
2019-04-01 09:56:25	ga_s2am_ard_3-2-1_54HYH_2019-04-01_final
2019-04-10 10:26:34	ga_s2am_ard_3-2-1_53HQC_2019-04-10_final
2019-04-11 09:56:26	ga_s2am_ard_3-2-1_54HYH_2019-04-11_final
2019-04-20 10:26:35	ga_s2am_ard_3-2-1_53HQC_2019-04-20_final
2019-04-21 09:56:28	ga_s2am_ard_3-2-1_54HYH_2019-04-21_final
2019-04-30 10:26:36	ga_s2am_ard_3-2-1_53HQC_2019-04-30_final
2019-05-01 09:56:28	ga_s2am_ard_3-2-1_54HYH_2019-05-01_final
2019-05-10 10:26:36	ga_s2am_ard_3-2-1_53HQC_2019-05-10_final
2019-05-11 09:56:28	ga_s2am_ard_3-2-1_54HYH_2019-05-11_final
2019-05-20 10:26:36	ga_s2am_ard_3-2-1_53HQC_2019-05-20_final
2019-05-21 09:56:28	ga_s2am_ard_3-2-1_54HYH_2019-05-21_final
2019-05-27 11:51:42	ga_s2am_ard_3-2-1_51LUD_2019-05-27_final.stac-item
2019-05-30 10:26:35	ga_s2am_ard_3-2-1_53HQC_2019-05-30_final
2019-05-31 09:56:27	ga_s2am_ard_3-2-1_54HYH_2019-05-31_final
2019-06-06 11:51:41	ga_s2am_ard_3-2-1_51LUD_2019-06-06_final.stac-item
2019-06-09 10:26:35	ga_s2am_ard_3-2-1_53HQC_2019-06-09_final
2019-06-10 09:56:27	ga_s2am_ard_3-2-1_54HYH_2019-06-10_final
2019-06-19 10:26:36	ga_s2am_ard_3-2-1_53HQC_2019-06-19_final
2019-06-20 09:56:28	ga_s2am_ard_3-2-1_54HYH_2019-06-20_final
2019-06-26 11:51:43	ga_s2am_ard_3-2-1_51LUD_2019-06-26_final.stac-item
2019-06-29 10:26:37	ga_s2am_ard_3-2-1_53HQC_2019-06-29_final
2019-06-30 09:56:29	ga_s2am_ard_3-2-1_54HYH_2019-06-30_final
2019-07-06 10:16:39	ga_s2am_ard_3-2-1_54HTH_2019-07-06_final
2019-07-09 10:26:35	ga_s2am_ard_3-2-1_54HTH_2019-07-09_final
2019-07-09 10:26:37	ga_s2am_ard_3-2-1_53HQC_2019-07-09_final
2019-07-10 09:56:30	ga_s2am_ard_3-2-1_54HYH_2019-07-10_final
2019-07-16 11:51:43	ga_s2am_ard_3-2-1_51LUD_2019-07-16_final.stac-item
2019-07-19 10:26:35	ga_s2am_ard_3-2-1_54HTH_2019-07-19_final
2019-07-19 10:26:37	ga_s2am_ard_3-2-1_53HQC_2019-07-19_final
2019-07-20 09:56:30	ga_s2am_ard_3-2-1_54HYH_2019-07-20_final
2019-07-26 10:16:39	ga_s2am_ard_3-2-1_54HTH_2019-07-26_final
2019-07-26 11:51:43	ga_s2am_ard_3-2-1_51LUD_2019-07-26_final.stac-item
2019-07-29 10:26:37	ga_s2am_ard_3-2-1_53HQC_2019-07-29_final
2019-08-05 10:16:38	ga_s2am_ard_3-2-1_54HTH_2019-08-05_final
2019-08-08 10:26:36	ga_s2am_ard_3-2-1_53HQC_2019-08-08_final
2019-08-15 10:16:37	ga_s2am_ard_3-2-1_54HTH_2019-08-15_final
2019-08-18 10:26:33	ga_s2am_ard_3-2-1_54HTH_2019-08-18_final
2019-08-18 10:26:35	ga_s2am_ard_3-2-1_53HQC_2019-08-18_final
2019-08-25 10:16:36	ga_s2am_ard_3-2-1_54HTH_2019-08-25_final
2019-08-25 11:51:40	ga_s2am_ard_3-2-1_51LUD_2019-08-25_final.stac-item
2019-08-28 10:26:32	ga_s2am_ard_3-2-1_54HTH_2019-08-28_final
2019-08-28 10:26:33	ga_s2am_ard_3-2-1_53HQC_2019-08-28_final
2019-09-01 11:41:40	ga_s2am_ard_3-2-1_51LUD_2019-09-01_final.stac-item
2019-09-04 10:16:34	ga_s2am_ard_3-2-1_54HTH_2019-09-04_final
2019-09-07 10:26:30	ga_s2am_ard_3-2-1_54HTH_2019-09-07_final
2019-09-07 10:26:31	ga_s2am_ard_3-2-1_53HQC_2019-09-07_final
2019-09-14 10:16:33	ga_s2am_ard_3-2-1_54HTH_2019-09-14_final
2019-09-17 10:26:30	ga_s2am_ard_3-2-1_54HTH_2019-09-17_final
2019-09-17 10:26:32	ga_s2am_ard_3-2-1_53HQC_2019-09-17_final
2019-09-27 10:26:31	ga_s2am_ard_3-2-1_54HTH_2019-09-27_final
2019-09-27 10:26:33	ga_s2am_ard_3-2-1_53HQC_2019-09-27_final
2019-10-04 10:16:36	ga_s2am_ard_3-2-1_54HTH_2019-10-04_final
2019-10-07 10:26:33	ga_s2am_ard_3-2-1_54HTH_2019-10-07_final
2019-10-07 10:26:35	ga_s2am_ard_3-2-1_53HQC_2019-10-07_final
2019-10-14 10:16:37	ga_s2am_ard_3-2-1_54HTH_2019-10-14_final
2019-10-17 10:26:33	ga_s2am_ard_3-2-1_54HTH_2019-10-17_final
2019-10-17 10:26:35	ga_s2am_ard_3-2-1_53HQC_2019-10-17_final
2019-10-24 10:16:37	ga_s2am_ard_3-2-1_54HTH_2019-10-24_final
2019-10-27 10:26:34	ga_s2am_ard_3-2-1_54HTH_2019-10-27_final
2019-10-27 10:26:36	ga_s2am_ard_3-2-1_53HQC_2019-10-27_final
2019-11-03 10:16:37	ga_s2am_ard_3-2-1_54HTH_2019-11-03_final
2019-11-06 10:26:35	ga_s2am_ard_3-2-1_53HQC_2019-11-06_final
2019-11-13 10:16:36	ga_s2am_ard_3-2-1_54HTH_2019-11-13_final
2019-11-16 10:26:34	ga_s2am_ard_3-2-1_53HQC_2019-11-16_final
2019-11-21 09:34:12	ga_s2am_ard_3-2-1_56JLR_2019-11-21_final
2019-11-23 10:16:35	ga_s2am_ard_3-2-1_54HTH_2019-11-23_final
2019-11-23 11:51:37	ga_s2am_ard_3-2-1_51LUD_2019-11-23_final.stac-item
2019-11-24 09:44:06	ga_s2am_ard_3-2-1_56JLR_2019-11-24_final
2019-11-26 10:26:32	ga_s2am_ard_3-2-1_53HQC_2019-11-26_final
2019-12-01 09:34:10	ga_s2am_ard_3-2-1_56JLR_2019-12-01_final
2019-12-03 11:51:37	ga_s2am_ard_3-2-1_51LUD_2019-12-03_final.stac-item
2019-12-04 09:44:04	ga_s2am_ard_3-2-1_56JLR_2019-12-04_final
2019-12-06 10:26:28	ga_s2am_ard_3-2-1_54HTH_2019-12-06_final
2019-12-11 09:34:08	ga_s2am_ard_3-2-1_56JLR_2019-12-11_final
2019-12-13 10:16:30	ga_s2am_ard_3-2-1_54HTH_2019-12-13_final
2019-12-13 11:51:34	ga_s2am_ard_3-2-1_51LUD_2019-12-13_final.stac-item
2019-12-14 09:44:01	ga_s2am_ard_3-2-1_56JLR_2019-12-14_final
2019-12-21 09:34:05	ga_s2am_ard_3-2-1_56JLR_2019-12-21_final
2019-12-24 09:44:00	ga_s2am_ard_3-2-1_56JLR_2019-12-24_final

Return to ga_s2am_ard_3 across 2019 overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2019

All months