Search ga_s2am_ard_3 whole collection

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
2021-04-03 11:45:51	ga_s2am_ard_3-2-1_50JNN_2021-04-03_final
2021-04-06 11:54:51	ga_s2am_ard_3-2-1_50JMS_2021-04-06_final
2021-04-06 11:55:06	ga_s2am_ard_3-2-1_50JMR_2021-04-06_final
2021-04-06 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2021-04-06_final
2021-04-06 11:55:49	ga_s2am_ard_3-2-1_50JMN_2021-04-06_final
2021-04-06 11:55:52	ga_s2am_ard_3-2-1_50JLN_2021-04-06_final
2021-04-09 12:04:49	ga_s2am_ard_3-2-1_50JLS_2021-04-09_final
2021-04-09 12:05:04	ga_s2am_ard_3-2-1_50JLR_2021-04-09_final
2021-04-13 11:44:47	ga_s2am_ard_3-2-1_50JPS_2021-04-13_final
2021-04-13 11:45:01	ga_s2am_ard_3-2-1_50JPR_2021-04-13_final
2021-04-13 11:45:34	ga_s2am_ard_3-2-1_50JNP_2021-04-13_final
2021-04-13 11:45:48	ga_s2am_ard_3-2-1_50JNN_2021-04-13_final
2021-04-16 11:54:38	ga_s2am_ard_3-2-1_50JLT_2021-04-16_final
2021-04-16 11:54:42	ga_s2am_ard_3-2-1_50JPS_2021-04-16_final
2021-04-16 11:54:56	ga_s2am_ard_3-2-1_50JPR_2021-04-16_final
2021-04-16 11:55:21	ga_s2am_ard_3-2-1_50JLQ_2021-04-16_final
2021-04-16 11:55:36	ga_s2am_ard_3-2-1_50JLP_2021-04-16_final
2021-04-16 11:55:43	ga_s2am_ard_3-2-1_50JNN_2021-04-16_final
2021-04-19 12:04:43	ga_s2am_ard_3-2-1_50JMS_2021-04-19_final
2021-04-19 12:04:48	ga_s2am_ard_3-2-1_50JLS_2021-04-19_final
2021-04-19 12:05:32	ga_s2am_ard_3-2-1_50JLP_2021-04-19_final
2021-04-23 11:45:03	ga_s2am_ard_3-2-1_50JPR_2021-04-23_final
2021-04-23 11:45:50	ga_s2am_ard_3-2-1_50JNN_2021-04-23_final
2021-04-26 11:54:54	ga_s2am_ard_3-2-1_50JLS_2021-04-26_final
2021-04-26 11:55:06	ga_s2am_ard_3-2-1_50JMR_2021-04-26_final
2021-04-26 11:55:35	ga_s2am_ard_3-2-1_50JMP_2021-04-26_final
2021-04-26 11:55:38	ga_s2am_ard_3-2-1_50JLP_2021-04-26_final
2021-04-26 11:55:46	ga_s2am_ard_3-2-1_50JNN_2021-04-26_final
2021-04-26 11:55:53	ga_s2am_ard_3-2-1_50JLN_2021-04-26_final
2021-04-29 12:04:51	ga_s2am_ard_3-2-1_50JLS_2021-04-29_final
2021-04-29 12:04:56	ga_s2am_ard_3-2-1_50JMR_2021-04-29_final
2021-04-29 12:05:35	ga_s2am_ard_3-2-1_50JLP_2021-04-29_final
2021-04-30 11:35:48	ga_s2am_ard_3-2-1_50JQN_2021-04-30_final
2021-05-03 11:44:47	ga_s2am_ard_3-2-1_50JQS_2021-05-03_final
2021-05-03 11:44:50	ga_s2am_ard_3-2-1_50JPS_2021-05-03_final
2021-05-03 11:45:05	ga_s2am_ard_3-2-1_50JPR_2021-05-03_final
2021-05-03 11:45:44	ga_s2am_ard_3-2-1_50JQN_2021-05-03_final
2021-05-03 11:45:48	ga_s2am_ard_3-2-1_50JPN_2021-05-03_final
2021-05-03 11:45:52	ga_s2am_ard_3-2-1_50JNN_2021-05-03_final
2021-05-06 11:54:46	ga_s2am_ard_3-2-1_50JPS_2021-05-06_final
2021-05-06 11:54:53	ga_s2am_ard_3-2-1_50JMS_2021-05-06_final
2021-05-06 11:54:56	ga_s2am_ard_3-2-1_50JLS_2021-05-06_final
2021-05-06 11:55:01	ga_s2am_ard_3-2-1_50JPR_2021-05-06_final
2021-05-06 11:55:08	ga_s2am_ard_3-2-1_50JMR_2021-05-06_final
2021-05-06 11:55:11	ga_s2am_ard_3-2-1_50JLR_2021-05-06_final
2021-05-06 11:55:22	ga_s2am_ard_3-2-1_50JMQ_2021-05-06_final
2021-05-06 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2021-05-06_final
2021-05-06 11:55:37	ga_s2am_ard_3-2-1_50JMP_2021-05-06_final
2021-05-06 11:55:40	ga_s2am_ard_3-2-1_50JLP_2021-05-06_final
2021-05-06 11:55:48	ga_s2am_ard_3-2-1_50JNN_2021-05-06_final
2021-05-06 11:55:55	ga_s2am_ard_3-2-1_50JLN_2021-05-06_final
2021-05-09 12:04:48	ga_s2am_ard_3-2-1_50JMS_2021-05-09_final
2021-05-09 12:04:53	ga_s2am_ard_3-2-1_50JLS_2021-05-09_final
2021-05-09 12:04:58	ga_s2am_ard_3-2-1_50JMR_2021-05-09_final
2021-05-09 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2021-05-09_final
2021-05-09 12:05:37	ga_s2am_ard_3-2-1_50JLP_2021-05-09_final
2021-05-09 12:05:50	ga_s2am_ard_3-2-1_50JLN_2021-05-09_final
2021-05-10 11:35:50	ga_s2am_ard_3-2-1_50JQN_2021-05-10_final
2021-05-13 11:44:52	ga_s2am_ard_3-2-1_50JPS_2021-05-13_final
2021-05-13 11:45:06	ga_s2am_ard_3-2-1_50JPR_2021-05-13_final
2021-05-13 11:45:46	ga_s2am_ard_3-2-1_50JQN_2021-05-13_final
2021-05-13 11:45:50	ga_s2am_ard_3-2-1_50JPN_2021-05-13_final
2021-05-13 11:45:53	ga_s2am_ard_3-2-1_50JNN_2021-05-13_final
2021-05-16 11:54:48	ga_s2am_ard_3-2-1_50JPS_2021-05-16_final
2021-05-16 11:54:58	ga_s2am_ard_3-2-1_50JLS_2021-05-16_final
2021-05-16 11:55:09	ga_s2am_ard_3-2-1_50JMR_2021-05-16_final
2021-05-16 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2021-05-16_final
2021-05-16 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2021-05-16_final
2021-05-16 11:55:39	ga_s2am_ard_3-2-1_50JMP_2021-05-16_final
2021-05-16 11:55:42	ga_s2am_ard_3-2-1_50JLP_2021-05-16_final
2021-05-16 11:55:53	ga_s2am_ard_3-2-1_50JMN_2021-05-16_final
2021-05-16 11:55:56	ga_s2am_ard_3-2-1_50JLN_2021-05-16_final
2021-05-19 12:04:49	ga_s2am_ard_3-2-1_50JMS_2021-05-19_final
2021-05-19 12:04:54	ga_s2am_ard_3-2-1_50JLS_2021-05-19_final
2021-05-19 12:05:08	ga_s2am_ard_3-2-1_50JLR_2021-05-19_final
2021-05-19 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2021-05-19_final
2021-05-19 12:05:36	ga_s2am_ard_3-2-1_50JLP_2021-05-19_final
2021-05-19 12:05:43	ga_s2am_ard_3-2-1_50JLP_2021-05-19_final
2021-05-19 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-05-19_final
2021-05-20 11:35:51	ga_s2am_ard_3-2-1_50JQN_2021-05-20_final
2021-05-23 11:44:49	ga_s2am_ard_3-2-1_50JQS_2021-05-23_final
2021-05-23 11:44:53	ga_s2am_ard_3-2-1_50JPS_2021-05-23_final
2021-05-23 11:45:15	ga_s2am_ard_3-2-1_51JTK_2021-05-23_final
2021-05-23 11:45:47	ga_s2am_ard_3-2-1_50JQN_2021-05-23_final
2021-05-23 11:45:51	ga_s2am_ard_3-2-1_50JPN_2021-05-23_final
2021-05-23 11:45:54	ga_s2am_ard_3-2-1_50JNN_2021-05-23_final
2021-05-26 11:55:03	ga_s2am_ard_3-2-1_50JPR_2021-05-26_final
2021-05-26 11:55:10	ga_s2am_ard_3-2-1_50JMR_2021-05-26_final
2021-05-26 11:55:13	ga_s2am_ard_3-2-1_50JLR_2021-05-26_final
2021-05-26 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2021-05-26_final
2021-05-26 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2021-05-26_final
2021-05-26 11:55:39	ga_s2am_ard_3-2-1_50JMP_2021-05-26_final
2021-05-26 11:55:42	ga_s2am_ard_3-2-1_50JLP_2021-05-26_final
2021-05-26 11:55:50	ga_s2am_ard_3-2-1_50JNN_2021-05-26_final
2021-05-26 11:55:54	ga_s2am_ard_3-2-1_50JMN_2021-05-26_final
2021-05-26 11:55:57	ga_s2am_ard_3-2-1_50JLN_2021-05-26_final
2021-05-29 12:04:49	ga_s2am_ard_3-2-1_50JMS_2021-05-29_final
2021-05-29 12:04:54	ga_s2am_ard_3-2-1_50JLS_2021-05-29_final
2021-05-29 12:05:09	ga_s2am_ard_3-2-1_50JLR_2021-05-29_final
2021-05-29 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2021-05-29_final

Return to ga_s2am_ard_3 whole collection 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

All years