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
2021-10-17 11:36:39	ga_s2am_ard_3-2-1_50HQK_2021-10-17_final.stac-item
2021-10-20 11:46:28	ga_s2am_ard_3-2-1_50JNL_2021-10-20_final.stac-item
2021-10-20 11:46:43	ga_s2am_ard_3-2-1_50HNK_2021-10-20_final.stac-item
2021-10-23 11:57:14	ga_s2am_ard_3-2-1_50HLH_2021-10-23_final.stac-item
2021-10-26 12:04:04	ga_s2am_ard_3-2-1_49KHR_2021-10-26_final.stac-item
2021-10-30 11:46:42	ga_s2am_ard_3-2-1_50HNK_2021-10-30_final.stac-item
2021-10-30 11:47:11	ga_s2am_ard_3-2-1_50HNH_2021-10-30_final.stac-item
2021-11-02 11:54:41	ga_s2am_ard_3-2-1_50JNT_2021-11-02_final.stac-item
2021-11-02 11:55:02	ga_s2am_ard_3-2-1_50JLS_2021-11-02_final.stac-item
2021-11-02 11:55:39	ga_s2am_ard_3-2-1_50JNP_2021-11-02_final.stac-item
2021-11-02 11:55:46	ga_s2am_ard_3-2-1_50JLP_2021-11-02_final.stac-item
2021-11-02 11:55:57	ga_s2am_ard_3-2-1_50JMN_2021-11-02_final.stac-item
2021-11-02 11:56:12	ga_s2am_ard_3-2-1_50JMM_2021-11-02_final.stac-item
2021-11-02 11:56:22	ga_s2am_ard_3-2-1_50JNL_2021-11-02_final.stac-item
2021-11-02 11:56:34	ga_s2am_ard_3-2-1_50HNK_2021-11-02_final.stac-item
2021-11-02 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2021-11-02_final.stac-item
2021-11-05 12:04:03	ga_s2am_ard_3-2-1_49KHR_2021-11-05_final.stac-item
2021-11-05 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2021-11-05_final.stac-item
2021-11-05 12:04:35	ga_s2am_ard_3-2-1_49KGP_2021-11-05_final.stac-item
2021-11-05 12:04:46	ga_s2am_ard_3-2-1_50JKT_2021-11-05_final.stac-item
2021-11-05 12:04:57	ga_s2am_ard_3-2-1_50JLS_2021-11-05_final.stac-item
2021-11-05 12:05:04	ga_s2am_ard_3-2-1_49JGM_2021-11-05_final.stac-item
2021-11-05 12:05:33	ga_s2am_ard_3-2-1_49JGK_2021-11-05_final.stac-item
2021-11-05 12:05:41	ga_s2am_ard_3-2-1_50JLP_2021-11-05_final.stac-item
2021-11-05 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2021-11-05_final.stac-item
2021-11-05 12:06:18	ga_s2am_ard_3-2-1_50JLL_2021-11-05_final.stac-item
2021-11-06 11:36:30	ga_s2am_ard_3-2-1_50JPL_2021-11-06_final.stac-item
2021-11-06 11:36:41	ga_s2am_ard_3-2-1_50HPK_2021-11-06_final.stac-item
2021-11-08 12:13:58	ga_s2am_ard_3-2-1_49KHR_2021-11-08_final.stac-item
2021-11-08 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2021-11-08_final.stac-item
2021-11-08 12:14:30	ga_s2am_ard_3-2-1_49KGP_2021-11-08_final.stac-item
2021-11-08 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-11-08_final.stac-item
2021-11-12 11:54:39	ga_s2am_ard_3-2-1_50JNT_2021-11-12_final.stac-item
2021-11-12 11:55:00	ga_s2am_ard_3-2-1_50JLS_2021-11-12_final.stac-item
2021-11-12 11:55:18	ga_s2am_ard_3-2-1_50JPQ_2021-11-12_final.stac-item
2021-11-12 11:55:37	ga_s2am_ard_3-2-1_50JNP_2021-11-12_final.stac-item
2021-11-12 11:55:44	ga_s2am_ard_3-2-1_50JLP_2021-11-12_final.stac-item
2021-11-12 11:55:55	ga_s2am_ard_3-2-1_50JMN_2021-11-12_final.stac-item
2021-11-12 11:56:10	ga_s2am_ard_3-2-1_50JMM_2021-11-12_final.stac-item
2021-11-12 11:56:27	ga_s2am_ard_3-2-1_50JLL_2021-11-12_final.stac-item
2021-11-12 11:56:32	ga_s2am_ard_3-2-1_50HNK_2021-11-12_final.stac-item
2021-11-12 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-11-12_final.stac-item
2021-11-12 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-11-12_final.stac-item
2021-11-15 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-11-15_final.stac-item
2021-11-15 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2021-11-15_final.stac-item
2021-11-15 12:04:32	ga_s2am_ard_3-2-1_49KGP_2021-11-15_final.stac-item
2021-11-15 12:04:44	ga_s2am_ard_3-2-1_50JKT_2021-11-15_final.stac-item
2021-11-15 12:04:55	ga_s2am_ard_3-2-1_50JLS_2021-11-15_final.stac-item
2021-11-15 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-11-15_final.stac-item
2021-11-15 12:05:39	ga_s2am_ard_3-2-1_50JLP_2021-11-15_final.stac-item
2021-11-15 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2021-11-15_final.stac-item
2021-11-15 12:06:15	ga_s2am_ard_3-2-1_50JLL_2021-11-15_final.stac-item
2021-11-16 11:36:27	ga_s2am_ard_3-2-1_50JPL_2021-11-16_final.stac-item
2021-11-16 11:36:35	ga_s2am_ard_3-2-1_50HQK_2021-11-16_final.stac-item
2021-11-18 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-11-18_final.stac-item
2021-11-18 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-11-18_final.stac-item
2021-11-18 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-11-18_final.stac-item
2021-11-18 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-11-18_final.stac-item
2021-11-19 11:45:32	ga_s2am_ard_3-2-1_50JNP_2021-11-19_final.stac-item
2021-11-19 11:45:40	ga_s2am_ard_3-2-1_50JNP_2021-11-19_final.stac-item
2021-11-19 11:46:13	ga_s2am_ard_3-2-1_50JMM_2021-11-19_final.stac-item
2021-11-19 11:46:19	ga_s2am_ard_3-2-1_50JPL_2021-11-19_final.stac-item
2021-11-19 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-11-19_final.stac-item
2021-11-19 11:46:30	ga_s2am_ard_3-2-1_50HQK_2021-11-19_final.stac-item
2021-11-19 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-11-19_final.stac-item
2021-11-19 11:47:06	ga_s2am_ard_3-2-1_50HNH_2021-11-19_final.stac-item
2021-11-19 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-11-19_final.stac-item
2021-11-22 11:54:37	ga_s2am_ard_3-2-1_50JNT_2021-11-22_final.stac-item
2021-11-22 11:54:58	ga_s2am_ard_3-2-1_50JLS_2021-11-22_final.stac-item
2021-11-22 11:55:35	ga_s2am_ard_3-2-1_50JNP_2021-11-22_final.stac-item
2021-11-22 11:55:42	ga_s2am_ard_3-2-1_50JLP_2021-11-22_final.stac-item
2021-11-22 11:55:53	ga_s2am_ard_3-2-1_50JMN_2021-11-22_final.stac-item
2021-11-22 11:56:08	ga_s2am_ard_3-2-1_50JMM_2021-11-22_final.stac-item
2021-11-22 11:56:18	ga_s2am_ard_3-2-1_50JNL_2021-11-22_final.stac-item
2021-11-22 11:56:26	ga_s2am_ard_3-2-1_50JLL_2021-11-22_final.stac-item
2021-11-22 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-11-22_final.stac-item
2021-11-22 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-11-22_final.stac-item
2021-11-25 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-11-25_final.stac-item
2021-11-25 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-11-25_final.stac-item
2021-11-25 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-11-25_final.stac-item
2021-11-25 12:04:54	ga_s2am_ard_3-2-1_50JLS_2021-11-25_final.stac-item
2021-11-25 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-11-25_final.stac-item
2021-11-25 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-11-25_final.stac-item
2021-11-25 12:05:38	ga_s2am_ard_3-2-1_50JLP_2021-11-25_final.stac-item
2021-11-25 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-11-25_final.stac-item
2021-11-25 12:06:14	ga_s2am_ard_3-2-1_50JLL_2021-11-25_final.stac-item
2021-11-26 11:36:26	ga_s2am_ard_3-2-1_50JPL_2021-11-26_final.stac-item
2021-11-26 11:36:34	ga_s2am_ard_3-2-1_50HQK_2021-11-26_final.stac-item
2021-11-26 11:36:38	ga_s2am_ard_3-2-1_50HPK_2021-11-26_final.stac-item
2021-11-28 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-11-28_final.stac-item
2021-11-28 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-11-28_final.stac-item
2021-11-28 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-11-28_final.stac-item
2021-11-28 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-11-28_final.stac-item
2021-11-29 11:45:39	ga_s2am_ard_3-2-1_50JNP_2021-11-29_final.stac-item
2021-11-29 11:46:19	ga_s2am_ard_3-2-1_50JPL_2021-11-29_final.stac-item
2021-11-29 11:46:22	ga_s2am_ard_3-2-1_50JNL_2021-11-29_final.stac-item
2021-11-29 11:46:33	ga_s2am_ard_3-2-1_50HPK_2021-11-29_final.stac-item
2021-11-29 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-11-29_final.stac-item
2021-11-29 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-11-29_final.stac-item
2021-11-29 11:47:06	ga_s2am_ard_3-2-1_50HNH_2021-11-29_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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