Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

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.stac-item
2020-04-01 11:53:52	ga_s2am_ard_3-2-1_50KMA_2020-04-01_final.stac-item
2020-04-02 11:24:01	ga_s2am_ard_3-2-1_51KZP_2020-04-02_final.stac-item
2020-04-09 11:15:40	ga_s2am_ard_3-2-1_51JXH_2020-04-09_final.stac-item
2020-04-11 11:53:29	ga_s2am_ard_3-2-1_50KMC_2020-04-11_final.stac-item
2020-04-25 11:36:19	ga_s2am_ard_3-2-1_51JTF_2020-04-25_final.stac-item
2020-05-01 11:51:30	ga_s2am_ard_3-2-1_51LUE_2020-05-01_final.stac-item
2020-05-01 11:56:17	ga_s2am_ard_3-2-1_50JKM_2020-05-01_final.stac-item
2020-05-02 11:21:58	ga_s2am_ard_3-2-1_51LZC_2020-05-02_final.stac-item
2020-05-02 11:27:05	ga_s2am_ard_3-2-1_51HUC_2020-05-02_final.stac-item
2020-05-03 10:52:48	ga_s2am_ard_3-2-1_52KHD_2020-05-03_final.stac-item
2020-05-03 10:55:45	ga_s2am_ard_3-2-1_52JGM_2020-05-03_final.stac-item
2020-05-04 12:06:07	ga_s2am_ard_3-2-1_50JLM_2020-05-04_final.stac-item
2020-05-04 12:06:13	ga_s2am_ard_3-2-1_50JKM_2020-05-04_final.stac-item
2020-05-04 12:06:17	ga_s2am_ard_3-2-1_50JLL_2020-05-04_final.stac-item
2020-05-05 11:36:21	ga_s2am_ard_3-2-1_51JTF_2020-05-05_final.stac-item
2020-05-05 11:36:37	ga_s2am_ard_3-2-1_50HQK_2020-05-05_final.stac-item
2020-05-05 11:37:10	ga_s2am_ard_3-2-1_50HPH_2020-05-05_final.stac-item
2020-05-06 11:02:22	ga_s2am_ard_3-2-1_52KFF_2020-05-06_final.stac-item
2020-05-06 11:02:33	ga_s2am_ard_3-2-1_52KGE_2020-05-06_final.stac-item
2020-05-06 11:02:44	ga_s2am_ard_3-2-1_52KHD_2020-05-06_final.stac-item
2020-05-06 11:05:56	ga_s2am_ard_3-2-1_52JCM_2020-05-06_final.stac-item
2020-05-06 11:06:02	ga_s2am_ard_3-2-1_52JBM_2020-05-06_final.stac-item
2020-05-06 11:06:07	ga_s2am_ard_3-2-1_52JDL_2020-05-06_final.stac-item
2020-05-06 11:06:10	ga_s2am_ard_3-2-1_52JCL_2020-05-06_final.stac-item
2020-05-06 11:06:41	ga_s2am_ard_3-2-1_51HYD_2020-05-06_final.stac-item
2020-05-08 11:46:05	ga_s2am_ard_3-2-1_50JQM_2020-05-08_final.stac-item
2020-05-08 11:46:34	ga_s2am_ard_3-2-1_50HQK_2020-05-08_final.stac-item
2020-05-08 11:47:06	ga_s2am_ard_3-2-1_50HPH_2020-05-08_final.stac-item
2020-05-09 11:12:18	ga_s2am_ard_3-2-1_52KFF_2020-05-09_final.stac-item
2020-05-09 11:15:52	ga_s2am_ard_3-2-1_52JCM_2020-05-09_final.stac-item
2020-05-09 11:15:55	ga_s2am_ard_3-2-1_52JBM_2020-05-09_final.stac-item
2020-05-09 11:16:06	ga_s2am_ard_3-2-1_52JCL_2020-05-09_final.stac-item
2020-05-09 11:16:27	ga_s2am_ard_3-2-1_51HYE_2020-05-09_final.stac-item
2020-05-09 11:16:41	ga_s2am_ard_3-2-1_51HYD_2020-05-09_final.stac-item
2020-05-11 11:51:31	ga_s2am_ard_3-2-1_51LUE_2020-05-11_final.stac-item
2020-05-11 11:56:18	ga_s2am_ard_3-2-1_50JKM_2020-05-11_final.stac-item
2020-05-12 11:26:16	ga_s2am_ard_3-2-1_51JWF_2020-05-12_final.stac-item
2020-05-12 11:26:45	ga_s2am_ard_3-2-1_51HWD_2020-05-12_final.stac-item
2020-05-13 10:52:49	ga_s2am_ard_3-2-1_52KHD_2020-05-13_final.stac-item
2020-05-13 10:55:47	ga_s2am_ard_3-2-1_52JGM_2020-05-13_final.stac-item
2020-05-14 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-05-14_final.stac-item
2020-05-14 12:06:15	ga_s2am_ard_3-2-1_50JKM_2020-05-14_final.stac-item
2020-05-15 11:36:25	ga_s2am_ard_3-2-1_50JQL_2020-05-15_final.stac-item
2020-05-15 11:36:33	ga_s2am_ard_3-2-1_51HUE_2020-05-15_final.stac-item
2020-05-15 11:36:39	ga_s2am_ard_3-2-1_50HQK_2020-05-15_final.stac-item
2020-05-15 11:37:06	ga_s2am_ard_3-2-1_51HTC_2020-05-15_final.stac-item
2020-05-16 11:01:51	ga_s2am_ard_3-2-1_52LGH_2020-05-16_final.stac-item
2020-05-16 11:02:20	ga_s2am_ard_3-2-1_52KGF_2020-05-16_final.stac-item
2020-05-16 11:02:35	ga_s2am_ard_3-2-1_52KGE_2020-05-16_final.stac-item
2020-05-16 11:05:57	ga_s2am_ard_3-2-1_52JCM_2020-05-16_final.stac-item
2020-05-16 11:06:03	ga_s2am_ard_3-2-1_52JBM_2020-05-16_final.stac-item
2020-05-16 11:06:08	ga_s2am_ard_3-2-1_52JDL_2020-05-16_final.stac-item
2020-05-16 11:06:11	ga_s2am_ard_3-2-1_52JCL_2020-05-16_final.stac-item
2020-05-16 11:06:42	ga_s2am_ard_3-2-1_51HYD_2020-05-16_final.stac-item
2020-05-18 11:41:38	ga_s2am_ard_3-2-1_51LUE_2020-05-18_final.stac-item
2020-05-18 11:46:10	ga_s2am_ard_3-2-1_50JQM_2020-05-18_final.stac-item
2020-05-18 11:46:39	ga_s2am_ard_3-2-1_50HPK_2020-05-18_final.stac-item
2020-05-18 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-05-18_final.stac-item
2020-05-19 11:15:53	ga_s2am_ard_3-2-1_52JCM_2020-05-19_final.stac-item
2020-05-19 11:15:56	ga_s2am_ard_3-2-1_52JBM_2020-05-19_final.stac-item
2020-05-19 11:16:08	ga_s2am_ard_3-2-1_52JCL_2020-05-19_final.stac-item
2020-05-19 11:16:28	ga_s2am_ard_3-2-1_51HYE_2020-05-19_final.stac-item
2020-05-19 11:16:42	ga_s2am_ard_3-2-1_51HYD_2020-05-19_final.stac-item
2020-05-21 11:51:32	ga_s2am_ard_3-2-1_51LUE_2020-05-21_final.stac-item
2020-05-21 11:56:13	ga_s2am_ard_3-2-1_50JMM_2020-05-21_final.stac-item
2020-05-21 11:56:19	ga_s2am_ard_3-2-1_50JKM_2020-05-21_final.stac-item
2020-05-21 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-05-21_final.stac-item
2020-05-21 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-05-21_final.stac-item
2020-05-23 10:52:50	ga_s2am_ard_3-2-1_52KHD_2020-05-23_final.stac-item
2020-05-24 12:05:03	ga_s2am_ard_3-2-1_50JKS_2020-05-24_final.stac-item
2020-05-24 12:06:10	ga_s2am_ard_3-2-1_50JLM_2020-05-24_final.stac-item
2020-05-24 12:06:16	ga_s2am_ard_3-2-1_50JKM_2020-05-24_final.stac-item
2020-05-25 11:36:11	ga_s2am_ard_3-2-1_50JQM_2020-05-25_final.stac-item
2020-05-25 11:36:20	ga_s2am_ard_3-2-1_51JUF_2020-05-25_final.stac-item
2020-05-25 11:36:23	ga_s2am_ard_3-2-1_51JTF_2020-05-25_final.stac-item
2020-05-25 11:36:40	ga_s2am_ard_3-2-1_50HQK_2020-05-25_final.stac-item
2020-05-25 11:36:49	ga_s2am_ard_3-2-1_51HUD_2020-05-25_final.stac-item
2020-05-25 11:37:03	ga_s2am_ard_3-2-1_51HUC_2020-05-25_final.stac-item
2020-05-25 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-05-25_final.stac-item
2020-05-26 11:02:21	ga_s2am_ard_3-2-1_52KGF_2020-05-26_final.stac-item
2020-05-26 11:02:35	ga_s2am_ard_3-2-1_52KGE_2020-05-26_final.stac-item
2020-05-26 11:02:46	ga_s2am_ard_3-2-1_52KHD_2020-05-26_final.stac-item
2020-05-26 11:05:58	ga_s2am_ard_3-2-1_52JCM_2020-05-26_final.stac-item
2020-05-26 11:06:04	ga_s2am_ard_3-2-1_52JBM_2020-05-26_final.stac-item
2020-05-26 11:06:09	ga_s2am_ard_3-2-1_52JDL_2020-05-26_final.stac-item
2020-05-26 11:06:12	ga_s2am_ard_3-2-1_52JCL_2020-05-26_final.stac-item
2020-05-26 11:06:43	ga_s2am_ard_3-2-1_51HYD_2020-05-26_final.stac-item
2020-05-28 11:41:39	ga_s2am_ard_3-2-1_51LUE_2020-05-28_final.stac-item
2020-05-28 11:46:12	ga_s2am_ard_3-2-1_50JPM_2020-05-28_final.stac-item
2020-05-28 11:46:21	ga_s2am_ard_3-2-1_50JQL_2020-05-28_final.stac-item
2020-05-28 11:46:36	ga_s2am_ard_3-2-1_50HQK_2020-05-28_final.stac-item
2020-05-28 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-05-28_final.stac-item
2020-05-29 11:12:20	ga_s2am_ard_3-2-1_52KFF_2020-05-29_final.stac-item
2020-05-29 11:15:54	ga_s2am_ard_3-2-1_52JCM_2020-05-29_final.stac-item
2020-05-29 11:15:57	ga_s2am_ard_3-2-1_52JBM_2020-05-29_final.stac-item
2020-05-29 11:16:08	ga_s2am_ard_3-2-1_52JCL_2020-05-29_final.stac-item
2020-05-29 11:16:29	ga_s2am_ard_3-2-1_51HYE_2020-05-29_final.stac-item
2020-05-29 11:16:43	ga_s2am_ard_3-2-1_51HYD_2020-05-29_final.stac-item
2020-05-31 11:51:33	ga_s2am_ard_3-2-1_51LUE_2020-05-31_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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