Search ga_s2am_ard_3 across May 2021

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
2021-05-02 10:34:59	ga_s2am_ard_3-2-1_53JQJ_2021-05-02_final
2021-05-02 10:35:46	ga_s2am_ard_3-2-1_53JPF_2021-05-02_final
2021-05-02 10:36:56	ga_s2am_ard_3-2-1_53HPA_2021-05-02_final
2021-05-03 10:05:39	ga_s2am_ard_3-2-1_54JXL_2021-05-03_final
2021-05-03 10:07:20	ga_s2am_ard_3-2-1_54HXD_2021-05-03_final
2021-05-03 10:07:33	ga_s2am_ard_3-2-1_54HUD_2021-05-03_final.stac-item
2021-05-03 11:46:35	ga_s2am_ard_3-2-1_50HNK_2021-05-03_final
2021-05-03 11:46:39	ga_s2am_ard_3-2-1_50HMK_2021-05-03_final
2021-05-04 09:34:48	ga_s2am_ard_3-2-1_55JGJ_2021-05-04_final
2021-05-04 09:36:44	ga_s2am_ard_3-2-1_55HFA_2021-05-04_final
2021-05-04 09:37:13	ga_s2am_ard_3-2-1_55HFU_2021-05-04_final.stac-item
2021-05-04 11:12:52	ga_s2am_ard_3-2-1_52KFC_2021-05-04_final
2021-05-04 11:16:10	ga_s2am_ard_3-2-1_51JXF_2021-05-04_final
2021-05-04 11:16:29	ga_s2am_ard_3-2-1_51HWE_2021-05-04_final
2021-05-06 10:15:35	ga_s2am_ard_3-2-1_54JXL_2021-05-06_final
2021-05-06 10:16:59	ga_s2am_ard_3-2-1_54HUF_2021-05-06_final
2021-05-06 11:56:28	ga_s2am_ard_3-2-1_50HNK_2021-05-06_final
2021-05-06 11:56:35	ga_s2am_ard_3-2-1_50HMK_2021-05-06_final
2021-05-07 09:46:40	ga_s2am_ard_3-2-1_55HFA_2021-05-07_final
2021-05-07 09:46:51	ga_s2am_ard_3-2-1_55HCA_2021-05-07_final
2021-05-07 09:47:08	ga_s2am_ard_3-2-1_55HFU_2021-05-07_final.stac-item
2021-05-07 09:47:20	ga_s2am_ard_3-2-1_55HCU_2021-05-07_final
2021-05-07 11:26:06	ga_s2am_ard_3-2-1_51JXF_2021-05-07_final
2021-05-07 11:26:24	ga_s2am_ard_3-2-1_51HWE_2021-05-07_final
2021-05-07 11:26:28	ga_s2am_ard_3-2-1_51HVE_2021-05-07_final
2021-05-08 10:55:59	ga_s2am_ard_3-2-1_52JFL_2021-05-08_final
2021-05-09 10:25:42	ga_s2am_ard_3-2-1_54JUL_2021-05-09_final
2021-05-09 10:25:51	ga_s2am_ard_3-2-1_53JPF_2021-05-09_final
2021-05-09 10:26:50	ga_s2am_ard_3-2-1_54HUF_2021-05-09_final
2021-05-09 10:27:04	ga_s2am_ard_3-2-1_53HPA_2021-05-09_final
2021-05-10 09:56:48	ga_s2am_ard_3-2-1_55HCA_2021-05-10_final
2021-05-10 09:57:17	ga_s2am_ard_3-2-1_55HCU_2021-05-10_final
2021-05-10 09:57:25	ga_s2am_ard_3-2-1_54HXD_2021-05-10_final
2021-05-10 11:36:23	ga_s2am_ard_3-2-1_51HVE_2021-05-10_final
2021-05-12 10:35:48	ga_s2am_ard_3-2-1_53JPF_2021-05-12_final
2021-05-12 10:36:58	ga_s2am_ard_3-2-1_53HPA_2021-05-12_final
2021-05-13 10:05:41	ga_s2am_ard_3-2-1_54JXL_2021-05-13_final
2021-05-13 10:07:21	ga_s2am_ard_3-2-1_54HXD_2021-05-13_final
2021-05-13 11:45:29	ga_s2am_ard_3-2-1_51JTJ_2021-05-13_final
2021-05-13 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-05-13_final
2021-05-13 11:46:40	ga_s2am_ard_3-2-1_50HMK_2021-05-13_final
2021-05-14 09:36:45	ga_s2am_ard_3-2-1_55HFA_2021-05-14_final
2021-05-14 09:37:14	ga_s2am_ard_3-2-1_55HFU_2021-05-14_final.stac-item
2021-05-14 11:12:53	ga_s2am_ard_3-2-1_52KFC_2021-05-14_final
2021-05-14 11:16:02	ga_s2am_ard_3-2-1_52JCL_2021-05-14_final
2021-05-14 11:16:11	ga_s2am_ard_3-2-1_51JXF_2021-05-14_final
2021-05-14 11:16:30	ga_s2am_ard_3-2-1_51HWE_2021-05-14_final
2021-05-16 10:15:37	ga_s2am_ard_3-2-1_54JXL_2021-05-16_final
2021-05-16 10:17:00	ga_s2am_ard_3-2-1_54HUF_2021-05-16_final
2021-05-16 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-05-16_final
2021-05-16 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-05-16_final
2021-05-17 09:46:42	ga_s2am_ard_3-2-1_55HFA_2021-05-17_final
2021-05-17 09:46:52	ga_s2am_ard_3-2-1_55HCA_2021-05-17_final
2021-05-17 09:47:09	ga_s2am_ard_3-2-1_55HFU_2021-05-17_final.stac-item
2021-05-17 09:47:22	ga_s2am_ard_3-2-1_55HCU_2021-05-17_final
2021-05-17 11:26:07	ga_s2am_ard_3-2-1_51JXF_2021-05-17_final
2021-05-17 11:26:26	ga_s2am_ard_3-2-1_51HWE_2021-05-17_final
2021-05-17 11:26:29	ga_s2am_ard_3-2-1_51HVE_2021-05-17_final
2021-05-18 10:56:00	ga_s2am_ard_3-2-1_52JFL_2021-05-18_final
2021-05-19 10:25:53	ga_s2am_ard_3-2-1_53JPF_2021-05-19_final
2021-05-19 10:26:51	ga_s2am_ard_3-2-1_54HUF_2021-05-19_final
2021-05-19 10:27:05	ga_s2am_ard_3-2-1_53HPA_2021-05-19_final
2021-05-19 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2021-05-19_final
2021-05-20 09:56:49	ga_s2am_ard_3-2-1_55HCA_2021-05-20_final
2021-05-20 09:57:18	ga_s2am_ard_3-2-1_55HCU_2021-05-20_final
2021-05-20 09:57:26	ga_s2am_ard_3-2-1_54HXD_2021-05-20_final
2021-05-20 11:36:24	ga_s2am_ard_3-2-1_51HVE_2021-05-20_final
2021-05-21 11:06:10	ga_s2am_ard_3-2-1_52JBL_2021-05-21_final
2021-05-22 10:35:49	ga_s2am_ard_3-2-1_53JPF_2021-05-22_final
2021-05-22 10:36:59	ga_s2am_ard_3-2-1_53HPA_2021-05-22_final
2021-05-23 10:05:41	ga_s2am_ard_3-2-1_54JXL_2021-05-23_final
2021-05-23 10:07:22	ga_s2am_ard_3-2-1_54HXD_2021-05-23_final
2021-05-23 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-05-23_final
2021-05-23 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-05-23_final
2021-05-24 09:34:51	ga_s2am_ard_3-2-1_55JGJ_2021-05-24_final
2021-05-24 09:36:46	ga_s2am_ard_3-2-1_55HFA_2021-05-24_final
2021-05-24 09:37:15	ga_s2am_ard_3-2-1_55HFU_2021-05-24_final.stac-item
2021-05-24 11:12:54	ga_s2am_ard_3-2-1_52KFC_2021-05-24_final
2021-05-24 11:16:03	ga_s2am_ard_3-2-1_52JCL_2021-05-24_final
2021-05-24 11:16:12	ga_s2am_ard_3-2-1_51JXF_2021-05-24_final
2021-05-24 11:16:31	ga_s2am_ard_3-2-1_51HWE_2021-05-24_final
2021-05-26 10:15:37	ga_s2am_ard_3-2-1_54JXL_2021-05-26_final
2021-05-26 10:17:01	ga_s2am_ard_3-2-1_54HUF_2021-05-26_final
2021-05-26 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-05-26_final
2021-05-26 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-05-26_final
2021-05-27 09:46:42	ga_s2am_ard_3-2-1_55HFA_2021-05-27_final
2021-05-27 09:46:53	ga_s2am_ard_3-2-1_55HCA_2021-05-27_final
2021-05-27 09:47:10	ga_s2am_ard_3-2-1_55HFU_2021-05-27_final.stac-item
2021-05-27 11:26:08	ga_s2am_ard_3-2-1_51JXF_2021-05-27_final
2021-05-27 11:26:26	ga_s2am_ard_3-2-1_51HWE_2021-05-27_final
2021-05-27 11:26:30	ga_s2am_ard_3-2-1_51HVE_2021-05-27_final
2021-05-28 10:56:01	ga_s2am_ard_3-2-1_52JFL_2021-05-28_final
2021-05-29 10:25:44	ga_s2am_ard_3-2-1_54JUL_2021-05-29_final
2021-05-29 10:25:53	ga_s2am_ard_3-2-1_53JPF_2021-05-29_final
2021-05-29 10:26:52	ga_s2am_ard_3-2-1_54HUF_2021-05-29_final
2021-05-29 10:27:06	ga_s2am_ard_3-2-1_53HPA_2021-05-29_final
2021-05-29 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2021-05-29_final
2021-05-30 09:56:49	ga_s2am_ard_3-2-1_55HCA_2021-05-30_final
2021-05-30 09:57:18	ga_s2am_ard_3-2-1_55HCU_2021-05-30_final
2021-05-30 09:57:27	ga_s2am_ard_3-2-1_54HXD_2021-05-30_final

Return to ga_s2am_ard_3 across May 2021 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

2021

May

All days