Search ga_s2am_ard_3 across September 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
2019-09-01 10:04:52	ga_s2am_ard_3-2-1_55JBJ_2019-09-01_final
2019-09-01 10:06:56	ga_s2am_ard_3-2-1_55HBV_2019-09-01_final
2019-09-01 10:07:04	ga_s2am_ard_3-2-1_54HYE_2019-09-01_final
2019-09-01 11:45:30	ga_s2am_ard_3-2-1_51JTJ_2019-09-01_final
2019-09-01 11:45:54	ga_s2am_ard_3-2-1_50JNN_2019-09-01_final
2019-09-02 09:34:15	ga_s2am_ard_3-2-1_56JKR_2019-09-02_final
2019-09-02 09:36:57	ga_s2am_ard_3-2-1_55HGV_2019-09-02_final
2019-09-02 09:37:00	ga_s2am_ard_3-2-1_55HFV_2019-09-02_final
2019-09-03 10:45:44	ga_s2am_ard_3-2-1_53JKG_2019-09-03_final
2019-09-04 10:17:11	ga_s2am_ard_3-2-1_54HVE_2019-09-04_final
2019-09-04 10:17:15	ga_s2am_ard_3-2-1_54HUE_2019-09-04_final.stac-item
2019-09-04 10:17:18	ga_s2am_ard_3-2-1_54HTE_2019-09-04_final.stac-item
2019-09-04 10:17:19	ga_s2am_ard_3-2-1_53HQV_2019-09-04_final.stac-item
2019-09-04 11:55:49	ga_s2am_ard_3-2-1_50JNN_2019-09-04_final
2019-09-05 09:44:39	ga_s2am_ard_3-2-1_56JKP_2019-09-05_final
2019-09-05 09:46:56	ga_s2am_ard_3-2-1_55HFV_2019-09-05_final
2019-09-05 09:47:03	ga_s2am_ard_3-2-1_55HDV_2019-09-05_final
2019-09-05 11:25:42	ga_s2am_ard_3-2-1_51JWH_2019-09-05_final
2019-09-05 11:25:45	ga_s2am_ard_3-2-1_51JVH_2019-09-05_final
2019-09-06 10:55:34	ga_s2am_ard_3-2-1_52JEN_2019-09-06_final
2019-09-07 10:25:31	ga_s2am_ard_3-2-1_54JTM_2019-09-07_final
2019-09-07 10:27:11	ga_s2am_ard_3-2-1_54HTE_2019-09-07_final.stac-item
2019-09-07 10:27:12	ga_s2am_ard_3-2-1_53HQV_2019-09-07_final.stac-item
2019-09-07 10:27:14	ga_s2am_ard_3-2-1_53HPV_2019-09-07_final.stac-item
2019-09-08 09:56:57	ga_s2am_ard_3-2-1_55HDV_2019-09-08_final
2019-09-08 09:57:02	ga_s2am_ard_3-2-1_55HCV_2019-09-08_final
2019-09-08 09:57:05	ga_s2am_ard_3-2-1_55HBV_2019-09-08_final
2019-09-08 09:57:07	ga_s2am_ard_3-2-1_54HYE_2019-09-08_final
2019-09-08 11:35:32	ga_s2am_ard_3-2-1_51JTJ_2019-09-08_final
2019-09-08 11:35:40	ga_s2am_ard_3-2-1_51JVH_2019-09-08_final
2019-09-09 09:27:00	ga_s2am_ard_3-2-1_55HGV_2019-09-08_final
2019-09-09 11:05:23	ga_s2am_ard_3-2-1_52JEN_2019-09-09_final
2019-09-09 11:05:25	ga_s2am_ard_3-2-1_52JDN_2019-09-09_final
2019-09-09 11:05:30	ga_s2am_ard_3-2-1_52JEN_2019-09-09_final
2019-09-09 11:05:33	ga_s2am_ard_3-2-1_52JDN_2019-09-09_final
2019-09-11 10:04:49	ga_s2am_ard_3-2-1_55JBJ_2019-09-11_final
2019-09-11 10:06:54	ga_s2am_ard_3-2-1_55HBV_2019-09-11_final
2019-09-11 10:07:01	ga_s2am_ard_3-2-1_54HYE_2019-09-11_final
2019-09-11 11:45:27	ga_s2am_ard_3-2-1_51JTJ_2019-09-11_final
2019-09-11 11:45:52	ga_s2am_ard_3-2-1_50JNN_2019-09-11_final
2019-09-12 09:34:12	ga_s2am_ard_3-2-1_56JKR_2019-09-12_final
2019-09-12 09:34:48	ga_s2am_ard_3-2-1_55JGJ_2019-09-12_final
2019-09-12 09:36:54	ga_s2am_ard_3-2-1_55HGV_2019-09-12_final
2019-09-12 09:36:58	ga_s2am_ard_3-2-1_55HFV_2019-09-12_final
2019-09-13 10:45:42	ga_s2am_ard_3-2-1_53JKG_2019-09-13_final
2019-09-14 10:17:10	ga_s2am_ard_3-2-1_54HVE_2019-09-14_final
2019-09-14 10:17:13	ga_s2am_ard_3-2-1_54HUE_2019-09-14_final.stac-item
2019-09-14 10:17:17	ga_s2am_ard_3-2-1_54HTE_2019-09-14_final.stac-item
2019-09-14 10:17:18	ga_s2am_ard_3-2-1_53HQV_2019-09-14_final.stac-item
2019-09-14 11:55:48	ga_s2am_ard_3-2-1_50JNN_2019-09-14_final
2019-09-15 09:44:38	ga_s2am_ard_3-2-1_56JKP_2019-09-15_final
2019-09-15 09:46:55	ga_s2am_ard_3-2-1_55HFV_2019-09-15_final
2019-09-15 09:47:03	ga_s2am_ard_3-2-1_55HDV_2019-09-15_final
2019-09-15 11:25:41	ga_s2am_ard_3-2-1_51JWH_2019-09-15_final
2019-09-15 11:25:45	ga_s2am_ard_3-2-1_51JVH_2019-09-15_final
2019-09-16 10:55:34	ga_s2am_ard_3-2-1_52JEN_2019-09-16_final
2019-09-17 10:25:31	ga_s2am_ard_3-2-1_54JTM_2019-09-17_final
2019-09-17 10:27:11	ga_s2am_ard_3-2-1_54HTE_2019-09-17_final.stac-item
2019-09-17 10:27:12	ga_s2am_ard_3-2-1_53HQV_2019-09-17_final.stac-item
2019-09-17 10:27:14	ga_s2am_ard_3-2-1_53HPV_2019-09-17_final.stac-item
2019-09-18 09:56:58	ga_s2am_ard_3-2-1_55HDV_2019-09-18_final
2019-09-18 09:57:03	ga_s2am_ard_3-2-1_55HCV_2019-09-18_final
2019-09-18 09:57:06	ga_s2am_ard_3-2-1_55HBV_2019-09-18_final
2019-09-18 09:57:07	ga_s2am_ard_3-2-1_54HYE_2019-09-18_final
2019-09-18 11:35:33	ga_s2am_ard_3-2-1_51JTJ_2019-09-18_final
2019-09-18 11:35:41	ga_s2am_ard_3-2-1_51JVH_2019-09-18_final
2019-09-18 11:36:02	ga_s2am_ard_3-2-1_51JTG_2019-09-18_final
2019-09-19 09:27:01	ga_s2am_ard_3-2-1_55HGV_2019-09-18_final
2019-09-19 11:05:30	ga_s2am_ard_3-2-1_52JEN_2019-09-19_final
2019-09-19 11:05:34	ga_s2am_ard_3-2-1_52JDN_2019-09-19_final
2019-09-21 10:04:51	ga_s2am_ard_3-2-1_55JBJ_2019-09-21_final
2019-09-21 10:06:55	ga_s2am_ard_3-2-1_55HBV_2019-09-21_final
2019-09-21 10:07:03	ga_s2am_ard_3-2-1_54HYE_2019-09-21_final
2019-09-21 11:45:29	ga_s2am_ard_3-2-1_51JTJ_2019-09-21_final
2019-09-21 11:45:54	ga_s2am_ard_3-2-1_50JNN_2019-09-21_final
2019-09-22 09:34:14	ga_s2am_ard_3-2-1_56JKR_2019-09-22_final
2019-09-22 09:34:50	ga_s2am_ard_3-2-1_55JGJ_2019-09-22_final
2019-09-22 09:37:00	ga_s2am_ard_3-2-1_55HFV_2019-09-22_final
2019-09-23 10:45:44	ga_s2am_ard_3-2-1_53JKG_2019-09-23_final
2019-09-25 09:44:40	ga_s2am_ard_3-2-1_56JKP_2019-09-25_final
2019-09-25 09:46:57	ga_s2am_ard_3-2-1_55HFV_2019-09-25_final
2019-09-25 09:47:04	ga_s2am_ard_3-2-1_55HDV_2019-09-25_final
2019-09-25 11:25:39	ga_s2am_ard_3-2-1_51JWH_2019-09-25_final
2019-09-25 11:25:41	ga_s2am_ard_3-2-1_51JVH_2019-09-25_final
2019-09-25 11:25:46	ga_s2am_ard_3-2-1_51JWH_2019-09-25_final
2019-09-25 11:25:48	ga_s2am_ard_3-2-1_51JVH_2019-09-25_final
2019-09-26 10:55:35	ga_s2am_ard_3-2-1_52JEN_2019-09-26_final
2019-09-27 10:25:33	ga_s2am_ard_3-2-1_54JTM_2019-09-27_final
2019-09-27 10:27:13	ga_s2am_ard_3-2-1_54HTE_2019-09-27_final.stac-item
2019-09-27 10:27:14	ga_s2am_ard_3-2-1_53HQV_2019-09-27_final.stac-item
2019-09-27 12:06:11	ga_s2am_ard_3-2-1_50JKM_2019-09-27_final
2019-09-28 09:56:59	ga_s2am_ard_3-2-1_55HDV_2019-09-28_final
2019-09-28 09:57:04	ga_s2am_ard_3-2-1_55HCV_2019-09-28_final
2019-09-28 09:57:08	ga_s2am_ard_3-2-1_55HBV_2019-09-28_final
2019-09-28 09:57:09	ga_s2am_ard_3-2-1_54HYE_2019-09-28_final
2019-09-28 11:35:35	ga_s2am_ard_3-2-1_51JTJ_2019-09-28_final
2019-09-28 11:35:42	ga_s2am_ard_3-2-1_51JVH_2019-09-28_final
2019-09-29 09:27:02	ga_s2am_ard_3-2-1_55HGV_2019-09-28_final
2019-09-29 11:05:23	ga_s2am_ard_3-2-1_52JEN_2019-09-29_final
2019-09-29 11:05:32	ga_s2am_ard_3-2-1_52JEN_2019-09-29_final

Return to ga_s2am_ard_3 across September 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

September

All days