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
2020-01-02 11:55:36	ga_s2am_ard_3-2-1_50JLP_2020-01-02_final
2020-01-02 11:55:51	ga_s2am_ard_3-2-1_50JLN_2020-01-02_final
2020-01-02 11:57:00	ga_s2am_ard_3-2-1_50HMH_2020-01-02_final
2020-01-05 12:03:54	ga_s2am_ard_3-2-1_49KHR_2020-01-05_final
2020-01-05 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2020-01-05_final
2020-01-05 12:04:37	ga_s2am_ard_3-2-1_49JHN_2020-01-05_final
2020-01-05 12:05:32	ga_s2am_ard_3-2-1_50JLP_2020-01-05_final
2020-01-05 12:05:46	ga_s2am_ard_3-2-1_50JLN_2020-01-05_final
2020-01-06 11:36:42	ga_s2am_ard_3-2-1_50HQJ_2020-01-06_final
2020-01-06 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2020-01-06_final
2020-01-06 11:37:01	ga_s2am_ard_3-2-1_50HPH_2020-01-06_final
2020-01-08 12:13:49	ga_s2am_ard_3-2-1_49KHR_2020-01-08_final
2020-01-08 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2020-01-08_final
2020-01-08 12:14:26	ga_s2am_ard_3-2-1_49JHN_2020-01-08_final
2020-01-09 11:46:37	ga_s2am_ard_3-2-1_50HQJ_2020-01-09_final
2020-01-09 11:46:57	ga_s2am_ard_3-2-1_50HPH_2020-01-09_final
2020-01-09 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-01-09_final
2020-01-12 11:55:36	ga_s2am_ard_3-2-1_50JLP_2020-01-12_final
2020-01-12 11:55:51	ga_s2am_ard_3-2-1_50JLN_2020-01-12_final
2020-01-12 11:57:00	ga_s2am_ard_3-2-1_50HMH_2020-01-12_final
2020-01-15 12:03:53	ga_s2am_ard_3-2-1_49KHR_2020-01-15_final
2020-01-15 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2020-01-15_final
2020-01-15 12:04:36	ga_s2am_ard_3-2-1_49JHN_2020-01-15_final
2020-01-15 12:05:32	ga_s2am_ard_3-2-1_50JLP_2020-01-15_final
2020-01-15 12:05:46	ga_s2am_ard_3-2-1_50JLN_2020-01-15_final
2020-01-16 11:36:42	ga_s2am_ard_3-2-1_50HQJ_2020-01-16_final
2020-01-16 11:37:01	ga_s2am_ard_3-2-1_50HPH_2020-01-16_final
2020-01-18 12:13:48	ga_s2am_ard_3-2-1_49KHR_2020-01-18_final
2020-01-18 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2020-01-18_final
2020-01-18 12:14:25	ga_s2am_ard_3-2-1_49JHN_2020-01-18_final
2020-01-19 11:46:37	ga_s2am_ard_3-2-1_50HQJ_2020-01-19_final
2020-01-19 11:46:56	ga_s2am_ard_3-2-1_50HPH_2020-01-19_final
2020-01-19 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-01-19_final
2020-01-22 11:55:35	ga_s2am_ard_3-2-1_50JLP_2020-01-22_final
2020-01-22 11:55:50	ga_s2am_ard_3-2-1_50JLN_2020-01-22_final
2020-01-22 11:56:53	ga_s2am_ard_3-2-1_50HMH_2020-01-22_final
2020-01-22 11:57:00	ga_s2am_ard_3-2-1_50HMH_2020-01-22_final
2020-01-25 12:03:52	ga_s2am_ard_3-2-1_49KHR_2020-01-25_final
2020-01-25 12:04:07	ga_s2am_ard_3-2-1_49KHQ_2020-01-25_final
2020-01-25 12:04:36	ga_s2am_ard_3-2-1_49JHN_2020-01-25_final
2020-01-25 12:05:31	ga_s2am_ard_3-2-1_50JLP_2020-01-25_final
2020-01-25 12:05:45	ga_s2am_ard_3-2-1_50JLN_2020-01-25_final
2020-01-26 11:36:41	ga_s2am_ard_3-2-1_50HQJ_2020-01-26_final
2020-01-26 11:37:00	ga_s2am_ard_3-2-1_50HPH_2020-01-26_final
2020-01-28 12:13:47	ga_s2am_ard_3-2-1_49KHR_2020-01-28_final
2020-01-28 12:14:02	ga_s2am_ard_3-2-1_49KHQ_2020-01-28_final
2020-01-28 12:14:24	ga_s2am_ard_3-2-1_49JHN_2020-01-28_final
2020-01-29 11:46:19	ga_s2am_ard_3-2-1_50JML_2020-01-29_final
2020-01-29 11:46:36	ga_s2am_ard_3-2-1_50HQJ_2020-01-29_final
2020-01-29 11:46:55	ga_s2am_ard_3-2-1_50HPH_2020-01-29_final
2020-01-29 11:47:02	ga_s2am_ard_3-2-1_50HMH_2020-01-29_final
2021-12-02 11:55:41	ga_s2am_ard_3-2-1_50JLP_2021-12-02_final
2021-12-02 11:55:46	ga_s2am_ard_3-2-1_50JKP_2021-12-02_final
2021-12-02 11:55:56	ga_s2am_ard_3-2-1_50JLN_2021-12-02_final
2021-12-05 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-12-05_final
2021-12-05 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2021-12-05_final
2021-12-05 12:04:42	ga_s2am_ard_3-2-1_49JHN_2021-12-05_final
2021-12-05 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-12-05_final
2021-12-05 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2021-12-05_final
2021-12-05 12:05:28	ga_s2am_ard_3-2-1_49JGK_2021-12-05_final
2021-12-05 12:05:37	ga_s2am_ard_3-2-1_50JLP_2021-12-05_final
2021-12-05 12:05:40	ga_s2am_ard_3-2-1_50JKP_2021-12-05_final
2021-12-05 12:05:51	ga_s2am_ard_3-2-1_50JLN_2021-12-05_final
2021-12-08 12:13:53	ga_s2am_ard_3-2-1_49KHR_2021-12-08_final
2021-12-08 12:14:30	ga_s2am_ard_3-2-1_49JHN_2021-12-08_final
2021-12-08 12:14:58	ga_s2am_ard_3-2-1_49JFM_2021-12-08_final
2021-12-08 12:15:19	ga_s2am_ard_3-2-1_49JGK_2021-12-08_final
2021-12-12 11:55:41	ga_s2am_ard_3-2-1_50JLP_2021-12-12_final
2021-12-12 11:55:45	ga_s2am_ard_3-2-1_50JKP_2021-12-12_final
2021-12-12 11:55:55	ga_s2am_ard_3-2-1_50JLN_2021-12-12_final
2021-12-15 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2021-12-15_final
2021-12-15 12:04:42	ga_s2am_ard_3-2-1_49JHN_2021-12-15_final
2021-12-15 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-12-15_final
2021-12-15 12:05:08	ga_s2am_ard_3-2-1_49JFM_2021-12-15_final
2021-12-15 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2021-12-15_final
2021-12-15 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-12-15_final
2021-12-15 12:05:37	ga_s2am_ard_3-2-1_50JLP_2021-12-15_final
2021-12-15 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-12-15_final
2021-12-15 12:05:51	ga_s2am_ard_3-2-1_50JLN_2021-12-15_final
2021-12-18 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-12-18_final
2021-12-18 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-12-18_final
2021-12-18 12:14:31	ga_s2am_ard_3-2-1_49JHN_2021-12-18_final
2021-12-18 12:15:00	ga_s2am_ard_3-2-1_49JFM_2021-12-18_final
2021-12-18 12:15:20	ga_s2am_ard_3-2-1_49JGK_2021-12-18_final
2021-12-22 11:55:43	ga_s2am_ard_3-2-1_50JLP_2021-12-22_final
2021-12-22 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-12-22_final
2021-12-22 11:55:57	ga_s2am_ard_3-2-1_50JLN_2021-12-22_final
2021-12-25 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-12-25_final
2021-12-25 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2021-12-25_final
2021-12-25 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-12-25_final
2021-12-25 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-12-25_final
2021-12-25 12:05:10	ga_s2am_ard_3-2-1_49JFM_2021-12-25_final
2021-12-25 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2021-12-25_final
2021-12-25 12:05:31	ga_s2am_ard_3-2-1_49JGK_2021-12-25_final
2021-12-25 12:05:39	ga_s2am_ard_3-2-1_50JLP_2021-12-25_final
2021-12-25 12:05:42	ga_s2am_ard_3-2-1_50JKP_2021-12-25_final
2021-12-25 12:05:53	ga_s2am_ard_3-2-1_50JLN_2021-12-25_final
2021-12-28 12:13:56	ga_s2am_ard_3-2-1_49KHR_2021-12-28_final
2021-12-28 12:14:32	ga_s2am_ard_3-2-1_49JHN_2021-12-28_final
2021-12-28 12:15:01	ga_s2am_ard_3-2-1_49JFM_2021-12-28_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