Search ga_s2am_ard_3 across July 2022

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
2022-07-01 09:48:11	ga_s2am_ard_3-2-1_55GER_2022-07-01_final
2022-07-01 09:48:15	ga_s2am_ard_3-2-1_55GDR_2022-07-01_final
2022-07-01 09:48:18	ga_s2am_ard_3-2-1_55GCR_2022-07-01_final
2022-07-01 09:48:22	ga_s2am_ard_3-2-1_55GBR_2022-07-01_final
2022-07-01 09:48:22	ga_s2am_ard_3-2-1_54GYA_2022-07-01_final
2022-07-01 09:48:36	ga_s2am_ard_3-2-1_54GYV_2022-07-01_final.stac-item
2022-07-01 11:25:12	ga_s2am_ard_3-2-1_51JWL_2022-07-01_final
2022-07-01 11:25:47	ga_s2am_ard_3-2-1_51JYH_2022-07-01_final
2022-07-01 11:26:06	ga_s2am_ard_3-2-1_51JXG_2022-07-01_final
2022-07-03 12:05:11	ga_s2am_ard_3-2-1_50JMR_2022-07-03_final
2022-07-04 09:58:14	ga_s2am_ard_3-2-1_55GCR_2022-07-04_final
2022-07-04 09:58:18	ga_s2am_ard_3-2-1_55GBR_2022-07-04_final
2022-07-04 09:58:18	ga_s2am_ard_3-2-1_54GYA_2022-07-04_final
2022-07-04 09:58:26	ga_s2am_ard_3-2-1_55GCQ_2022-07-04_final
2022-07-04 11:35:07	ga_s2am_ard_3-2-1_51JWL_2022-07-04_final
2022-07-05 09:24:54	ga_s2am_ard_3-2-1_56JMP_2022-07-04_final
2022-07-05 09:25:42	ga_s2am_ard_3-2-1_56JLL_2022-07-04_final
2022-07-05 09:28:14	ga_s2am_ard_3-2-1_55GFR_2022-07-04_final
2022-07-05 09:28:29	ga_s2am_ard_3-2-1_55GFQ_2022-07-04_final
2022-07-05 11:05:00	ga_s2am_ard_3-2-1_52JER_2022-07-05_final
2022-07-07 11:45:24	ga_s2am_ard_3-2-1_50JNR_2022-07-07_final
2022-07-08 09:34:18	ga_s2am_ard_3-2-1_56JNR_2022-07-08_final.stac-item
2022-07-08 09:34:50	ga_s2am_ard_3-2-1_56JMP_2022-07-08_final
2022-07-08 09:35:37	ga_s2am_ard_3-2-1_56JLL_2022-07-08_final
2022-07-08 09:38:11	ga_s2am_ard_3-2-1_55GFR_2022-07-08_final
2022-07-08 09:38:13	ga_s2am_ard_3-2-1_55GER_2022-07-08_final
2022-07-08 09:38:15	ga_s2am_ard_3-2-1_55GDR_2022-07-08_final
2022-07-08 09:38:18	ga_s2am_ard_3-2-1_55GFQ_2022-07-08_final
2022-07-08 09:38:18	ga_s2am_ard_3-2-1_55GFR_2022-07-08_final
2022-07-08 09:38:20	ga_s2am_ard_3-2-1_55GER_2022-07-08_final
2022-07-08 09:38:22	ga_s2am_ard_3-2-1_55GDR_2022-07-08_final
2022-07-08 11:15:52	ga_s2am_ard_3-2-1_51JYH_2022-07-08_final
2022-07-08 11:16:10	ga_s2am_ard_3-2-1_51JXG_2022-07-08_final
2022-07-10 11:55:19	ga_s2am_ard_3-2-1_50JNR_2022-07-10_final
2022-07-10 11:55:22	ga_s2am_ard_3-2-1_50JMR_2022-07-10_final
2022-07-11 09:48:11	ga_s2am_ard_3-2-1_55GER_2022-07-11_final
2022-07-11 09:48:15	ga_s2am_ard_3-2-1_55GDR_2022-07-11_final
2022-07-11 09:48:18	ga_s2am_ard_3-2-1_55GCR_2022-07-11_final
2022-07-11 09:48:21	ga_s2am_ard_3-2-1_55GBR_2022-07-11_final
2022-07-11 09:48:22	ga_s2am_ard_3-2-1_54GYA_2022-07-11_final
2022-07-11 11:25:11	ga_s2am_ard_3-2-1_51JWL_2022-07-11_final
2022-07-11 11:25:47	ga_s2am_ard_3-2-1_51JYH_2022-07-11_final
2022-07-11 11:26:06	ga_s2am_ard_3-2-1_51JXG_2022-07-11_final
2022-07-13 12:05:11	ga_s2am_ard_3-2-1_50JMR_2022-07-13_final
2022-07-14 09:58:13	ga_s2am_ard_3-2-1_55GCR_2022-07-14_final
2022-07-14 09:58:17	ga_s2am_ard_3-2-1_55GBR_2022-07-14_final
2022-07-14 09:58:18	ga_s2am_ard_3-2-1_54GYA_2022-07-14_final
2022-07-14 09:58:26	ga_s2am_ard_3-2-1_55GCQ_2022-07-14_final
2022-07-14 11:35:07	ga_s2am_ard_3-2-1_51JWL_2022-07-14_final
2022-07-15 09:24:54	ga_s2am_ard_3-2-1_56JMP_2022-07-14_final
2022-07-15 09:25:42	ga_s2am_ard_3-2-1_56JLL_2022-07-14_final
2022-07-15 09:28:14	ga_s2am_ard_3-2-1_55GFR_2022-07-14_final
2022-07-15 11:05:00	ga_s2am_ard_3-2-1_52JER_2022-07-15_final
2022-07-17 11:45:23	ga_s2am_ard_3-2-1_50JNR_2022-07-17_final
2022-07-18 09:34:49	ga_s2am_ard_3-2-1_56JMP_2022-07-18_final
2022-07-18 09:35:36	ga_s2am_ard_3-2-1_56JLL_2022-07-18_final
2022-07-18 09:38:10	ga_s2am_ard_3-2-1_55GFR_2022-07-18_final
2022-07-18 09:38:14	ga_s2am_ard_3-2-1_55GER_2022-07-18_final
2022-07-18 09:38:17	ga_s2am_ard_3-2-1_55GDR_2022-07-18_final
2022-07-18 11:15:51	ga_s2am_ard_3-2-1_51JYH_2022-07-18_final
2022-07-18 11:16:09	ga_s2am_ard_3-2-1_51JXG_2022-07-18_final
2022-07-20 11:55:18	ga_s2am_ard_3-2-1_50JNR_2022-07-20_final
2022-07-20 11:55:21	ga_s2am_ard_3-2-1_50JMR_2022-07-20_final
2022-07-21 09:48:09	ga_s2am_ard_3-2-1_55GER_2022-07-21_final
2022-07-21 09:48:13	ga_s2am_ard_3-2-1_55GDR_2022-07-21_final
2022-07-21 09:48:17	ga_s2am_ard_3-2-1_55GCR_2022-07-21_final
2022-07-21 09:48:20	ga_s2am_ard_3-2-1_55GBR_2022-07-21_final
2022-07-21 09:48:20	ga_s2am_ard_3-2-1_54GYA_2022-07-21_final
2022-07-21 09:48:35	ga_s2am_ard_3-2-1_54GYV_2022-07-21_final.stac-item
2022-07-21 11:25:10	ga_s2am_ard_3-2-1_51JWL_2022-07-21_final
2022-07-21 11:25:45	ga_s2am_ard_3-2-1_51JYH_2022-07-21_final
2022-07-21 11:26:04	ga_s2am_ard_3-2-1_51JXG_2022-07-21_final
2022-07-23 12:05:09	ga_s2am_ard_3-2-1_50JMR_2022-07-23_final
2022-07-24 09:58:12	ga_s2am_ard_3-2-1_55GCR_2022-07-24_final
2022-07-24 09:58:15	ga_s2am_ard_3-2-1_55GBR_2022-07-24_final
2022-07-24 09:58:16	ga_s2am_ard_3-2-1_54GYA_2022-07-24_final
2022-07-24 09:58:24	ga_s2am_ard_3-2-1_55GCQ_2022-07-24_final
2022-07-24 11:35:05	ga_s2am_ard_3-2-1_51JWL_2022-07-24_final
2022-07-25 09:24:19	ga_s2am_ard_3-2-1_56JNR_2022-07-24_final.stac-item
2022-07-25 09:24:52	ga_s2am_ard_3-2-1_56JMP_2022-07-24_final
2022-07-25 09:28:12	ga_s2am_ard_3-2-1_55GFR_2022-07-24_final
2022-07-25 11:04:57	ga_s2am_ard_3-2-1_52JER_2022-07-25_final
2022-07-27 11:45:21	ga_s2am_ard_3-2-1_50JNR_2022-07-27_final
2022-07-28 09:34:47	ga_s2am_ard_3-2-1_56JMP_2022-07-28_final
2022-07-28 09:35:34	ga_s2am_ard_3-2-1_56JLL_2022-07-28_final
2022-07-28 09:38:07	ga_s2am_ard_3-2-1_55GFR_2022-07-28_final
2022-07-28 09:38:11	ga_s2am_ard_3-2-1_55GER_2022-07-28_final
2022-07-28 09:38:15	ga_s2am_ard_3-2-1_55GDR_2022-07-28_final
2022-07-28 11:15:48	ga_s2am_ard_3-2-1_51JYH_2022-07-28_final
2022-07-28 11:16:07	ga_s2am_ard_3-2-1_51JXG_2022-07-28_final
2022-07-30 11:55:16	ga_s2am_ard_3-2-1_50JNR_2022-07-30_final
2022-07-30 11:55:19	ga_s2am_ard_3-2-1_50JMR_2022-07-30_final
2022-07-31 09:48:08	ga_s2am_ard_3-2-1_55GER_2022-07-31_final
2022-07-31 09:48:12	ga_s2am_ard_3-2-1_55GDR_2022-07-31_final
2022-07-31 09:48:15	ga_s2am_ard_3-2-1_55GCR_2022-07-31_final
2022-07-31 09:48:18	ga_s2am_ard_3-2-1_55GBR_2022-07-31_final
2022-07-31 09:48:19	ga_s2am_ard_3-2-1_54GYA_2022-07-31_final
2022-07-31 09:48:33	ga_s2am_ard_3-2-1_54GYV_2022-07-31_final.stac-item
2022-07-31 11:25:09	ga_s2am_ard_3-2-1_51JWL_2022-07-31_final
2022-07-31 11:25:44	ga_s2am_ard_3-2-1_51JYH_2022-07-31_final

Return to ga_s2am_ard_3 across July 2022 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

2022

July

All days