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
2020-04-01 11:53:13	ga_s2am_ard_3-2-1_50KQC_2020-04-01_final
2020-04-01 11:53:52	ga_s2am_ard_3-2-1_50KMA_2020-04-01_final
2020-04-02 11:23:35	ga_s2am_ard_3-2-1_51KYR_2020-04-02_final
2020-04-06 11:01:29	ga_s2am_ard_3-2-1_52LGJ_2020-04-06_final
2020-04-10 10:44:48	ga_s2am_ard_3-2-1_53JNK_2020-04-10_final
2020-04-20 10:44:50	ga_s2am_ard_3-2-1_53JNK_2020-04-20_final
2020-04-22 11:26:08	ga_s2am_ard_3-2-1_51JXF_2020-04-22_final
2020-05-01 11:56:17	ga_s2am_ard_3-2-1_50JKM_2020-05-01_final
2020-05-03 10:52:12	ga_s2am_ard_3-2-1_53KMA_2020-05-03_final
2020-05-03 10:52:21	ga_s2am_ard_3-2-1_53KKA_2020-05-03_final
2020-05-03 10:52:23	ga_s2am_ard_3-2-1_52KHF_2020-05-03_final
2020-05-03 10:52:27	ga_s2am_ard_3-2-1_53KMV_2020-05-03_final
2020-05-03 10:54:04	ga_s2am_ard_3-2-1_52KGU_2020-05-03_final
2020-05-03 10:55:52	ga_s2am_ard_3-2-1_52JEM_2020-05-03_final
2020-05-04 10:24:07	ga_s2am_ard_3-2-1_53JRN_2020-05-04_final
2020-05-04 12:06:07	ga_s2am_ard_3-2-1_50JLM_2020-05-04_final
2020-05-04 12:06:13	ga_s2am_ard_3-2-1_50JKM_2020-05-04_final
2020-05-04 12:06:17	ga_s2am_ard_3-2-1_50JLL_2020-05-04_final
2020-05-06 11:05:49	ga_s2am_ard_3-2-1_52JEM_2020-05-06_final
2020-05-06 11:06:02	ga_s2am_ard_3-2-1_52JBM_2020-05-06_final
2020-05-06 11:06:14	ga_s2am_ard_3-2-1_52JBL_2020-05-06_final
2020-05-07 10:33:16	ga_s2am_ard_3-2-1_53KPS_2020-05-07_final
2020-05-07 10:33:28	ga_s2am_ard_3-2-1_53KPR_2020-05-07_final
2020-05-07 10:33:53	ga_s2am_ard_3-2-1_53KQP_2020-05-07_final
2020-05-07 10:34:04	ga_s2am_ard_3-2-1_53JRN_2020-05-07_final
2020-05-07 10:34:36	ga_s2am_ard_3-2-1_53JQL_2020-05-07_final
2020-05-07 10:34:40	ga_s2am_ard_3-2-1_53JPL_2020-05-07_final
2020-05-07 10:34:50	ga_s2am_ard_3-2-1_53JQK_2020-05-07_final
2020-05-07 10:34:54	ga_s2am_ard_3-2-1_53JNK_2020-05-07_final
2020-05-07 10:34:58	ga_s2am_ard_3-2-1_53JPK_2020-05-07_final
2020-05-07 10:35:00	ga_s2am_ard_3-2-1_53JNK_2020-05-07_final
2020-05-07 10:35:19	ga_s2am_ard_3-2-1_53JMJ_2020-05-07_final
2020-05-09 11:15:55	ga_s2am_ard_3-2-1_52JBM_2020-05-09_final
2020-05-09 11:16:10	ga_s2am_ard_3-2-1_52JBL_2020-05-09_final
2020-05-10 10:43:09	ga_s2am_ard_3-2-1_53KPS_2020-05-10_final
2020-05-10 10:43:23	ga_s2am_ard_3-2-1_53KPR_2020-05-10_final
2020-05-10 10:43:27	ga_s2am_ard_3-2-1_53KNR_2020-05-10_final
2020-05-10 10:43:42	ga_s2am_ard_3-2-1_53KNQ_2020-05-10_final
2020-05-10 10:43:56	ga_s2am_ard_3-2-1_53KNP_2020-05-10_final
2020-05-10 10:44:11	ga_s2am_ard_3-2-1_53JNN_2020-05-10_final
2020-05-10 10:44:32	ga_s2am_ard_3-2-1_53JPL_2020-05-10_final
2020-05-10 10:44:54	ga_s2am_ard_3-2-1_53JNK_2020-05-10_final
2020-05-13 10:52:17	ga_s2am_ard_3-2-1_53KLA_2020-05-13_final
2020-05-13 10:55:54	ga_s2am_ard_3-2-1_52JEM_2020-05-13_final
2020-05-14 10:24:09	ga_s2am_ard_3-2-1_53JRN_2020-05-14_final
2020-05-14 10:24:44	ga_s2am_ard_3-2-1_53JQL_2020-05-14_final
2020-05-14 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-05-14_final
2020-05-15 11:35:17	ga_s2am_ard_3-2-1_51JVK_2020-05-15_final
2020-05-16 11:02:06	ga_s2am_ard_3-2-1_52KGG_2020-05-16_final
2020-05-16 11:02:08	ga_s2am_ard_3-2-1_53KLA_2020-05-16_final
2020-05-16 11:02:17	ga_s2am_ard_3-2-1_52KHF_2020-05-16_final
2020-05-16 11:05:50	ga_s2am_ard_3-2-1_52JEM_2020-05-16_final
2020-05-18 11:41:35	ga_s2am_ard_3-2-1_51LVE_2020-05-18_final
2020-05-18 11:41:38	ga_s2am_ard_3-2-1_51LUE_2020-05-18_final
2020-05-19 11:12:34	ga_s2am_ard_3-2-1_52KFE_2020-05-19_final
2020-05-19 11:15:53	ga_s2am_ard_3-2-1_52JCM_2020-05-19_final
2020-05-19 11:15:56	ga_s2am_ard_3-2-1_52JBM_2020-05-19_final
2020-05-19 11:16:11	ga_s2am_ard_3-2-1_52JBL_2020-05-19_final
2020-05-20 10:43:10	ga_s2am_ard_3-2-1_53KPS_2020-05-20_final
2020-05-20 10:43:25	ga_s2am_ard_3-2-1_53KPR_2020-05-20_final
2020-05-20 10:43:28	ga_s2am_ard_3-2-1_53KNR_2020-05-20_final
2020-05-20 10:43:43	ga_s2am_ard_3-2-1_53KNQ_2020-05-20_final
2020-05-20 10:43:57	ga_s2am_ard_3-2-1_53KNP_2020-05-20_final
2020-05-20 10:44:12	ga_s2am_ard_3-2-1_53JNN_2020-05-20_final
2020-05-20 10:44:33	ga_s2am_ard_3-2-1_53JPL_2020-05-20_final
2020-05-21 11:51:32	ga_s2am_ard_3-2-1_51LUE_2020-05-21_final
2020-05-23 10:52:29	ga_s2am_ard_3-2-1_53KMV_2020-05-23_final
2020-05-23 10:52:47	ga_s2am_ard_3-2-1_53KLU_2020-05-23_final
2020-05-23 10:55:55	ga_s2am_ard_3-2-1_52JEM_2020-05-23_final
2020-05-24 10:24:10	ga_s2am_ard_3-2-1_53JRN_2020-05-24_final
2020-05-24 10:24:45	ga_s2am_ard_3-2-1_53JQL_2020-05-24_final
2020-05-24 10:24:57	ga_s2am_ard_3-2-1_53JQK_2020-05-24_final
2020-05-24 12:06:16	ga_s2am_ard_3-2-1_50JKM_2020-05-24_final
2020-05-25 11:32:52	ga_s2am_ard_3-2-1_51KVV_2020-05-25_final
2020-05-26 11:01:58	ga_s2am_ard_3-2-1_53KLB_2020-05-26_final
2020-05-26 11:02:06	ga_s2am_ard_3-2-1_52KGG_2020-05-26_final
2020-05-26 11:02:17	ga_s2am_ard_3-2-1_52KHF_2020-05-26_final
2020-05-26 11:05:51	ga_s2am_ard_3-2-1_52JEM_2020-05-26_final
2020-05-26 11:05:58	ga_s2am_ard_3-2-1_52JCM_2020-05-26_final
2020-05-26 11:06:04	ga_s2am_ard_3-2-1_52JBM_2020-05-26_final
2020-05-26 11:06:16	ga_s2am_ard_3-2-1_52JBL_2020-05-26_final
2020-05-27 10:33:18	ga_s2am_ard_3-2-1_53KPS_2020-05-27_final
2020-05-27 10:33:30	ga_s2am_ard_3-2-1_53KPR_2020-05-27_final
2020-05-27 10:34:06	ga_s2am_ard_3-2-1_53JRN_2020-05-27_final
2020-05-27 10:34:19	ga_s2am_ard_3-2-1_53JNN_2020-05-27_final
2020-05-27 10:34:42	ga_s2am_ard_3-2-1_53JPL_2020-05-27_final
2020-05-27 10:34:53	ga_s2am_ard_3-2-1_53JQK_2020-05-27_final
2020-05-27 10:35:00	ga_s2am_ard_3-2-1_53JNK_2020-05-27_final
2020-05-27 10:35:15	ga_s2am_ard_3-2-1_53JNJ_2020-05-27_final
2020-05-28 11:41:36	ga_s2am_ard_3-2-1_51LVE_2020-05-28_final
2020-05-29 11:12:20	ga_s2am_ard_3-2-1_52KFF_2020-05-29_final
2020-05-29 11:15:54	ga_s2am_ard_3-2-1_52JCM_2020-05-29_final
2020-05-29 11:16:12	ga_s2am_ard_3-2-1_52JBL_2020-05-29_final
2020-05-30 10:42:49	ga_s2am_ard_3-2-1_53KMU_2020-05-30_final
2020-05-30 10:43:11	ga_s2am_ard_3-2-1_53KPS_2020-05-30_final
2020-05-30 10:43:25	ga_s2am_ard_3-2-1_53KPR_2020-05-30_final
2020-05-30 10:43:29	ga_s2am_ard_3-2-1_53KNR_2020-05-30_final
2020-05-30 10:43:43	ga_s2am_ard_3-2-1_53KNQ_2020-05-30_final
2020-05-30 10:43:58	ga_s2am_ard_3-2-1_53KNP_2020-05-30_final
2020-05-30 10:44:12	ga_s2am_ard_3-2-1_53JNN_2020-05-30_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