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
2015-12-29 11:06:56	ga_s2am_ard_3-2-1_52JDL_2015-12-29_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KGR_2015-12-30_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49JGM_2015-12-30_final.stac-item
2016-01-06 10:27:28	ga_s2am_ard_3-2-1_53HNB_2016-01-06_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50KKV_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50KLU_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50KLV_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50KMU_2016-01-16_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JRT_2016-01-20_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51JTM_2016-01-20_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51JTN_2016-01-20_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51JUL_2016-01-20_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51JUM_2016-01-20_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JKR_2016-02-05_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JKS_2016-02-05_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JKT_2016-02-05_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JLS_2016-02-05_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JLT_2016-02-05_final.stac-item
2016-02-14 10:47:44	ga_s2am_ard_3-2-1_52JEM_2016-02-14_final.stac-item
2016-02-14 10:55:29	ga_s2am_ard_3-2-1_52JEM_2016-02-14_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGL_2016-02-15_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JHM_2016-02-15_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JHN_2016-02-15_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JKT_2016-02-15_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JLS_2016-02-15_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JLT_2016-02-15_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JMT_2016-02-15_final.stac-item
2016-02-17 11:02:07	ga_s2am_ard_3-2-1_52KEA_2016-02-17_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51JTN_2016-02-19_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGL_2016-03-06_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JHM_2016-03-06_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JHN_2016-03-06_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JKR_2016-03-06_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JKS_2016-03-06_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JKT_2016-03-06_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JLS_2016-03-06_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JLT_2016-03-06_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGM_2016-03-06_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_51JZN_2016-04-10_final.stac-item
2016-04-14 10:51:39	ga_s2am_ard_3-2-1_52JHS_2016-04-14_final.stac-item
2016-04-14 10:51:39	ga_s2am_ard_3-2-1_52KHE_2016-04-14_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50KMC_2016-04-15_final.stac-item
2016-04-15 12:05:35	ga_s2am_ard_3-2-1_50JKM_2016-04-15_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50KQC_2016-04-19_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50KRA_2016-04-19_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_51KUR_2016-04-19_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51JYL_2016-04-30_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_52JBM_2016-04-30_final.stac-item
2022-11-01 11:33:13	ga_s2am_ard_3-2-1_51KXT_2022-11-01_final.stac-item
2022-11-01 11:33:38	ga_s2am_ard_3-2-1_51KUS_2022-11-01_final.stac-item
2022-11-01 11:34:00	ga_s2am_ard_3-2-1_51KWQ_2022-11-01_final.stac-item
2022-11-01 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2022-11-01_final.stac-item
2022-11-01 11:34:14	ga_s2am_ard_3-2-1_51KWP_2022-11-01_final.stac-item
2022-11-01 11:34:40	ga_s2am_ard_3-2-1_51JTN_2022-11-01_final.stac-item
2022-11-01 11:34:53	ga_s2am_ard_3-2-1_50JRS_2022-11-01_final.stac-item
2022-11-01 11:35:02	ga_s2am_ard_3-2-1_51JVL_2022-11-01_final.stac-item
2022-11-01 11:35:49	ga_s2am_ard_3-2-1_51JUH_2022-11-01_final.stac-item
2022-11-01 11:36:00	ga_s2am_ard_3-2-1_51JVG_2022-11-01_final.stac-item
2022-11-01 11:36:21	ga_s2am_ard_3-2-1_51JTF_2022-11-01_final.stac-item
2022-11-01 11:36:24	ga_s2am_ard_3-2-1_50JQL_2022-11-01_final.stac-item
2022-11-01 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2022-11-01_final.stac-item
2022-11-01 11:37:11	ga_s2am_ard_3-2-1_50HPH_2022-11-01_final.stac-item
2022-11-02 11:00:52	ga_s2am_ard_3-2-1_52LGM_2022-11-02_final.stac-item
2022-11-02 11:01:03	ga_s2am_ard_3-2-1_52LHL_2022-11-02_final.stac-item
2022-11-02 11:01:06	ga_s2am_ard_3-2-1_52LGL_2022-11-02_final.stac-item
2022-11-02 11:01:18	ga_s2am_ard_3-2-1_52LHK_2022-11-02_final.stac-item
2022-11-02 11:01:32	ga_s2am_ard_3-2-1_52LHJ_2022-11-02_final.stac-item
2022-11-02 11:01:50	ga_s2am_ard_3-2-1_52LGH_2022-11-02_final.stac-item
2022-11-02 11:02:05	ga_s2am_ard_3-2-1_52KGG_2022-11-02_final.stac-item
2022-11-02 11:02:22	ga_s2am_ard_3-2-1_52KFF_2022-11-02_final.stac-item
2022-11-02 11:02:30	ga_s2am_ard_3-2-1_52KHE_2022-11-02_final.stac-item
2022-11-02 11:02:37	ga_s2am_ard_3-2-1_52KFE_2022-11-02_final.stac-item
2022-11-02 11:02:44	ga_s2am_ard_3-2-1_52KHD_2022-11-02_final.stac-item
2022-11-02 11:02:56	ga_s2am_ard_3-2-1_52KED_2022-11-02_final.stac-item
2022-11-02 11:03:02	ga_s2am_ard_3-2-1_52KGC_2022-11-02_final.stac-item
2022-11-02 11:03:06	ga_s2am_ard_3-2-1_52KFC_2022-11-02_final.stac-item
2022-11-02 11:03:13	ga_s2am_ard_3-2-1_52KHB_2022-11-02_final.stac-item
2022-11-02 11:03:17	ga_s2am_ard_3-2-1_52KGB_2022-11-02_final.stac-item
2022-11-02 11:03:38	ga_s2am_ard_3-2-1_52KEA_2022-11-02_final.stac-item
2022-11-02 11:03:58	ga_s2am_ard_3-2-1_52KDV_2022-11-02_final.stac-item
2022-11-02 11:04:00	ga_s2am_ard_3-2-1_52KGU_2022-11-02_final.stac-item
2022-11-02 11:04:07	ga_s2am_ard_3-2-1_52KEU_2022-11-02_final.stac-item
2022-11-02 11:04:15	ga_s2am_ard_3-2-1_52JGT_2022-11-02_final.stac-item
2022-11-02 11:04:19	ga_s2am_ard_3-2-1_52JFT_2022-11-02_final.stac-item
2022-11-02 11:04:22	ga_s2am_ard_3-2-1_52JET_2022-11-02_final.stac-item
2022-11-02 11:04:33	ga_s2am_ard_3-2-1_52JFS_2022-11-02_final.stac-item
2022-11-02 11:04:36	ga_s2am_ard_3-2-1_52JES_2022-11-02_final.stac-item
2022-11-02 11:04:40	ga_s2am_ard_3-2-1_52JDS_2022-11-02_final.stac-item
2022-11-02 11:04:54	ga_s2am_ard_3-2-1_52JDR_2022-11-02_final.stac-item
2022-11-02 11:05:12	ga_s2am_ard_3-2-1_52JCQ_2022-11-02_final.stac-item
2022-11-02 11:05:16	ga_s2am_ard_3-2-1_52JFP_2022-11-02_final.stac-item
2022-11-02 11:05:26	ga_s2am_ard_3-2-1_52JCP_2022-11-02_final.stac-item
2022-11-02 11:05:30	ga_s2am_ard_3-2-1_52JFN_2022-11-02_final.stac-item
2022-11-02 11:05:35	ga_s2am_ard_3-2-1_52JEN_2022-11-02_final.stac-item
2022-11-02 11:05:38	ga_s2am_ard_3-2-1_52JDN_2022-11-02_final.stac-item
2022-11-02 11:05:49	ga_s2am_ard_3-2-1_52JEM_2022-11-02_final.stac-item
2022-11-02 11:05:53	ga_s2am_ard_3-2-1_52JDM_2022-11-02_final.stac-item
2022-11-02 11:06:02	ga_s2am_ard_3-2-1_52JBM_2022-11-02_final.stac-item
2022-11-02 11:06:07	ga_s2am_ard_3-2-1_52JDL_2022-11-02_final.stac-item
2022-11-02 11:06:10	ga_s2am_ard_3-2-1_52JCL_2022-11-02_final.stac-item

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

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