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
2021-03-03 12:14:45	ga_s2am_ard_3-2-1_49JFN_2021-03-03_final
2021-03-10 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-03-10_final
2021-03-10 12:04:42	ga_s2am_ard_3-2-1_50JKT_2021-03-10_final
2021-03-10 12:05:40	ga_s2am_ard_3-2-1_50JKP_2021-03-10_final
2021-03-13 12:14:45	ga_s2am_ard_3-2-1_49JFN_2021-03-13_final
2021-03-17 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2021-03-17_final
2021-03-17 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-03-17_final
2021-03-20 12:04:56	ga_s2am_ard_3-2-1_50JKS_2021-03-20_final
2021-03-20 12:05:11	ga_s2am_ard_3-2-1_50JKR_2021-03-20_final
2021-03-20 12:05:14	ga_s2am_ard_3-2-1_49JGL_2021-03-20_final
2021-03-20 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-03-20_final
2021-03-30 12:04:43	ga_s2am_ard_3-2-1_49JGN_2021-03-30_final
2021-03-30 12:04:54	ga_s2am_ard_3-2-1_49JHM_2021-03-30_final
2021-03-30 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2021-03-30_final
2021-04-06 11:55:09	ga_s2am_ard_3-2-1_50JLR_2021-04-06_final
2021-04-06 11:55:23	ga_s2am_ard_3-2-1_50JLQ_2021-04-06_final
2021-04-09 12:04:38	ga_s2am_ard_3-2-1_49JHN_2021-04-09_final
2021-04-09 12:05:04	ga_s2am_ard_3-2-1_50JLR_2021-04-09_final
2021-04-09 12:05:18	ga_s2am_ard_3-2-1_50JLQ_2021-04-09_final
2021-04-12 12:13:49	ga_s2am_ard_3-2-1_49KHR_2021-04-12_final
2021-04-12 12:13:53	ga_s2am_ard_3-2-1_49KGR_2021-04-12_final
2021-04-16 11:55:06	ga_s2am_ard_3-2-1_50JLR_2021-04-16_final
2021-04-16 11:55:21	ga_s2am_ard_3-2-1_50JLQ_2021-04-16_final
2021-04-19 12:04:51	ga_s2am_ard_3-2-1_49JHM_2021-04-19_final
2021-04-19 12:05:01	ga_s2am_ard_3-2-1_50JLR_2021-04-19_final
2021-04-19 12:05:08	ga_s2am_ard_3-2-1_50JLR_2021-04-19_final
2021-04-19 12:05:17	ga_s2am_ard_3-2-1_50JLQ_2021-04-19_final
2021-04-19 12:05:21	ga_s2am_ard_3-2-1_50JKQ_2021-04-19_final
2021-04-19 12:05:24	ga_s2am_ard_3-2-1_49JGK_2021-04-19_final
2021-04-22 12:14:41	ga_s2am_ard_3-2-1_49JFN_2021-04-22_final
2021-04-26 11:55:09	ga_s2am_ard_3-2-1_50JLR_2021-04-26_final
2021-04-26 11:55:24	ga_s2am_ard_3-2-1_50JLQ_2021-04-26_final
2021-04-26 11:55:50	ga_s2am_ard_3-2-1_50JMN_2021-04-26_final
2021-04-29 12:04:54	ga_s2am_ard_3-2-1_49JHM_2021-04-29_final
2021-04-29 12:05:05	ga_s2am_ard_3-2-1_50JLR_2021-04-29_final
2021-04-29 12:05:12	ga_s2am_ard_3-2-1_49JGL_2021-04-29_final
2021-04-29 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2021-04-29_final
2021-04-29 12:05:26	ga_s2am_ard_3-2-1_49JGK_2021-04-29_final
2021-05-02 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2021-05-02_final
2021-05-02 12:14:29	ga_s2am_ard_3-2-1_49JHN_2021-05-02_final
2021-05-06 11:55:11	ga_s2am_ard_3-2-1_50JLR_2021-05-06_final
2021-05-06 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2021-05-06_final
2021-05-09 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-05-09_final
2021-05-09 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2021-05-09_final
2021-05-09 12:04:42	ga_s2am_ard_3-2-1_50JKT_2021-05-09_final
2021-05-09 12:05:07	ga_s2am_ard_3-2-1_50JLR_2021-05-09_final
2021-05-09 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2021-05-09_final
2021-05-12 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-05-12_final
2021-05-12 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2021-05-12_final
2021-05-12 12:14:26	ga_s2am_ard_3-2-1_49KGP_2021-05-12_final
2021-05-12 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-05-12_final
2021-05-16 11:55:13	ga_s2am_ard_3-2-1_50JLR_2021-05-16_final
2021-05-16 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2021-05-16_final
2021-05-19 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-05-19_final
2021-05-19 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-05-19_final
2021-05-19 12:04:43	ga_s2am_ard_3-2-1_49JHN_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 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2021-05-19_final
2021-05-22 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-05-22_final
2021-05-22 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-05-22_final
2021-05-22 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-05-22_final
2021-05-26 11:55:13	ga_s2am_ard_3-2-1_50JLR_2021-05-26_final
2021-05-26 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2021-05-26_final
2021-05-29 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-05-29_final
2021-05-29 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-05-29_final
2021-05-29 12:04:43	ga_s2am_ard_3-2-1_50JKT_2021-05-29_final
2021-05-29 12:04:47	ga_s2am_ard_3-2-1_49JGN_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
2021-06-02 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2021-06-02_final
2021-06-02 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-06-02_final
2021-06-02 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-06-02_final
2021-06-02 11:47:03	ga_s2am_ard_3-2-1_50HPH_2021-06-02_final
2021-06-02 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-06-02_final
2021-06-05 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-06-05_final
2021-06-09 11:36:35	ga_s2am_ard_3-2-1_50HQK_2021-06-09_final
2021-06-09 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2021-06-09_final
2021-06-09 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2021-06-09_final
2021-06-15 11:56:11	ga_s2am_ard_3-2-1_50JLM_2021-06-15_final
2021-06-15 11:56:14	ga_s2am_ard_3-2-1_50JKM_2021-06-15_final
2021-06-15 11:56:26	ga_s2am_ard_3-2-1_50JLL_2021-06-15_final
2021-06-15 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-06-15_final
2021-06-15 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-06-15_final
2021-06-18 12:06:14	ga_s2am_ard_3-2-1_50JLL_2021-06-18_final
2021-06-19 11:36:38	ga_s2am_ard_3-2-1_50HPK_2021-06-19_final
2021-06-19 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-06-19_final
2021-06-22 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-06-22_final
2021-06-22 11:46:42	ga_s2am_ard_3-2-1_50HMK_2021-06-22_final
2021-06-22 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2021-06-22_final
2021-06-22 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2021-06-22_final
2021-06-22 11:47:03	ga_s2am_ard_3-2-1_50HPH_2021-06-22_final
2021-06-22 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-06-22_final
2021-06-25 11:56:15	ga_s2am_ard_3-2-1_50JKM_2021-06-25_final
2021-06-25 11:56:27	ga_s2am_ard_3-2-1_50JLL_2021-06-25_final
2021-06-25 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2021-06-25_final
2021-06-25 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-06-25_final
2021-06-28 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-06-28_final
2021-06-28 12:06:16	ga_s2am_ard_3-2-1_50JLL_2021-06-28_final
2021-06-29 11:37:04	ga_s2am_ard_3-2-1_50HQH_2021-06-29_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