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
2021-09-03 11:55:43	ga_s2am_ard_3-2-1_50JLP_2021-09-03_final
2021-09-03 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-09-03_final
2021-09-03 11:55:57	ga_s2am_ard_3-2-1_50JLN_2021-09-03_final
2021-09-03 11:56:04	ga_s2am_ard_3-2-1_50JNM_2021-09-03_final
2021-09-03 11:56:06	ga_s2am_ard_3-2-1_50JMM_2021-09-03_final
2021-09-03 11:56:11	ga_s2am_ard_3-2-1_50JNM_2021-09-03_final
2021-09-03 11:56:13	ga_s2am_ard_3-2-1_50JMM_2021-09-03_final
2021-09-03 11:56:23	ga_s2am_ard_3-2-1_50JML_2021-09-03_final
2021-09-03 11:56:31	ga_s2am_ard_3-2-1_50HNK_2021-09-03_final
2021-09-03 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-09-03_final
2021-09-03 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2021-09-03_final
2021-09-03 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-09-03_final
2021-09-06 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-09-06_final
2021-09-06 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-09-06_final
2021-09-06 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-09-06_final
2021-09-06 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-09-06_final
2021-09-06 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-09-06_final
2021-09-06 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2021-09-06_final
2021-09-06 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-09-06_final
2021-09-06 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-09-06_final
2021-09-06 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-09-06_final
2021-09-07 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-09-07_final
2021-09-07 11:37:11	ga_s2am_ard_3-2-1_50HQH_2021-09-07_final
2021-09-09 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-09-09_final
2021-09-09 12:14:31	ga_s2am_ard_3-2-1_49JHN_2021-09-09_final
2021-09-09 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-09-09_final
2021-09-09 12:14:45	ga_s2am_ard_3-2-1_49JFN_2021-09-09_final
2021-09-09 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-09-09_final
2021-09-10 11:45:54	ga_s2am_ard_3-2-1_50JNN_2021-09-10_final
2021-09-10 11:46:08	ga_s2am_ard_3-2-1_50JNM_2021-09-10_final
2021-09-10 11:46:13	ga_s2am_ard_3-2-1_50JMM_2021-09-10_final
2021-09-10 11:46:26	ga_s2am_ard_3-2-1_50JML_2021-09-10_final
2021-09-10 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-09-10_final
2021-09-10 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-09-10_final
2021-09-10 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-09-10_final
2021-09-10 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-09-10_final
2021-09-13 11:55:43	ga_s2am_ard_3-2-1_50JLP_2021-09-13_final
2021-09-13 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-09-13_final
2021-09-13 11:55:57	ga_s2am_ard_3-2-1_50JLN_2021-09-13_final
2021-09-13 11:56:05	ga_s2am_ard_3-2-1_50JNM_2021-09-13_final
2021-09-13 11:56:08	ga_s2am_ard_3-2-1_50JMM_2021-09-13_final
2021-09-13 11:56:23	ga_s2am_ard_3-2-1_50JML_2021-09-13_final
2021-09-13 11:56:31	ga_s2am_ard_3-2-1_50HNK_2021-09-13_final
2021-09-13 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-09-13_final
2021-09-13 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2021-09-13_final
2021-09-13 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-09-13_final
2021-09-16 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-09-16_final
2021-09-16 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-09-16_final
2021-09-16 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-09-16_final
2021-09-16 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-09-16_final
2021-09-16 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2021-09-16_final
2021-09-16 12:05:39	ga_s2am_ard_3-2-1_50JLP_2021-09-16_final
2021-09-16 12:05:42	ga_s2am_ard_3-2-1_50JKP_2021-09-16_final
2021-09-16 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2021-09-16_final
2021-09-16 12:05:53	ga_s2am_ard_3-2-1_50JLN_2021-09-16_final
2021-09-17 11:37:05	ga_s2am_ard_3-2-1_50HQH_2021-09-17_final
2021-09-19 12:14:00	ga_s2am_ard_3-2-1_49KGR_2021-09-19_final
2021-09-19 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2021-09-19_final
2021-09-19 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-09-19_final
2021-09-19 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-09-19_final
2021-09-19 12:14:48	ga_s2am_ard_3-2-1_49JFN_2021-09-19_final
2021-09-19 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-09-19_final
2021-09-20 11:46:11	ga_s2am_ard_3-2-1_50JNM_2021-09-20_final
2021-09-20 11:46:15	ga_s2am_ard_3-2-1_50JMM_2021-09-20_final
2021-09-20 11:46:28	ga_s2am_ard_3-2-1_50JML_2021-09-20_final
2021-09-20 11:46:40	ga_s2am_ard_3-2-1_50HNK_2021-09-20_final
2021-09-20 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2021-09-20_final
2021-09-20 11:46:56	ga_s2am_ard_3-2-1_50HQH_2021-09-20_final
2021-09-20 11:47:17	ga_s2am_ard_3-2-1_50HLH_2021-09-20_final
2021-09-23 11:55:45	ga_s2am_ard_3-2-1_50JLP_2021-09-23_final
2021-09-23 11:55:49	ga_s2am_ard_3-2-1_50JKP_2021-09-23_final
2021-09-23 11:55:59	ga_s2am_ard_3-2-1_50JLN_2021-09-23_final
2021-09-23 11:56:07	ga_s2am_ard_3-2-1_50JNM_2021-09-23_final
2021-09-23 11:56:11	ga_s2am_ard_3-2-1_50JMM_2021-09-23_final
2021-09-23 11:56:25	ga_s2am_ard_3-2-1_50JML_2021-09-23_final
2021-09-23 11:56:33	ga_s2am_ard_3-2-1_50HNK_2021-09-23_final
2021-09-23 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-09-23_final
2021-09-23 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2021-09-23_final
2021-09-23 11:57:12	ga_s2am_ard_3-2-1_50HLH_2021-09-23_final
2021-09-26 12:04:03	ga_s2am_ard_3-2-1_49KHR_2021-09-26_final
2021-09-26 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2021-09-26_final
2021-09-26 12:04:46	ga_s2am_ard_3-2-1_49JHN_2021-09-26_final
2021-09-26 12:05:00	ga_s2am_ard_3-2-1_49JHM_2021-09-26_final
2021-09-26 12:05:04	ga_s2am_ard_3-2-1_49JGM_2021-09-26_final
2021-09-26 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2021-09-26_final
2021-09-26 12:05:41	ga_s2am_ard_3-2-1_50JLP_2021-09-26_final
2021-09-26 12:05:44	ga_s2am_ard_3-2-1_50JKP_2021-09-26_final
2021-09-26 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2021-09-26_final
2021-09-26 12:05:55	ga_s2am_ard_3-2-1_50JLN_2021-09-26_final
2021-09-27 11:37:07	ga_s2am_ard_3-2-1_50HQH_2021-09-27_final
2021-09-29 12:14:02	ga_s2am_ard_3-2-1_49KGR_2021-09-29_final
2021-09-29 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2021-09-29_final
2021-09-29 12:14:49	ga_s2am_ard_3-2-1_49JFN_2021-09-29_final
2021-09-29 12:15:00	ga_s2am_ard_3-2-1_49JGM_2021-09-29_final
2021-09-30 11:46:13	ga_s2am_ard_3-2-1_50JNM_2021-09-30_final
2021-09-30 11:46:17	ga_s2am_ard_3-2-1_50JMM_2021-09-30_final
2021-09-30 11:46:30	ga_s2am_ard_3-2-1_50JML_2021-09-30_final
2021-09-30 11:46:42	ga_s2am_ard_3-2-1_50HNK_2021-09-30_final
2021-09-30 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2021-09-30_final
2021-09-30 11:46:57	ga_s2am_ard_3-2-1_50HQH_2021-09-30_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