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
2018-12-01 12:05:47	ga_s2am_ard_3-2-1_50JKN_2018-12-01_final.stac-item
2018-12-01 12:06:01	ga_s2am_ard_3-2-1_50JKM_2018-12-01_final.stac-item
2019-05-20 12:03:48	ga_s2am_ard_3-2-1_50KKB_2019-05-20_final.stac-item
2019-05-20 12:04:02	ga_s2am_ard_3-2-1_50KKA_2019-05-20_final.stac-item
2019-05-20 12:04:03	ga_s2am_ard_3-2-1_49KHR_2019-05-20_final.stac-item
2019-05-20 12:04:17	ga_s2am_ard_3-2-1_50KKV_2019-05-20_final.stac-item
2019-05-20 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2019-05-20_final.stac-item
2019-05-20 12:04:31	ga_s2am_ard_3-2-1_49KHP_2019-05-20_final.stac-item
2019-05-20 12:04:31	ga_s2am_ard_3-2-1_50KKU_2019-05-20_final.stac-item
2019-05-20 12:04:46	ga_s2am_ard_3-2-1_49JHN_2019-05-20_final.stac-item
2019-05-20 12:04:46	ga_s2am_ard_3-2-1_50JKT_2019-05-20_final.stac-item
2019-05-20 12:05:00	ga_s2am_ard_3-2-1_49JHM_2019-05-20_final.stac-item
2019-05-20 12:05:01	ga_s2am_ard_3-2-1_50JKS_2019-05-20_final.stac-item
2019-05-20 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-05-20_final.stac-item
2019-05-20 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2019-05-20_final.stac-item
2019-05-20 12:05:44	ga_s2am_ard_3-2-1_50JKP_2019-05-20_final.stac-item
2019-05-20 12:05:59	ga_s2am_ard_3-2-1_50JKN_2019-05-20_final.stac-item
2019-05-20 12:06:13	ga_s2am_ard_3-2-1_50JKM_2019-05-20_final.stac-item
2019-05-27 11:55:49	ga_s2am_ard_3-2-1_50JKP_2019-05-27_final.stac-item
2019-05-27 11:56:02	ga_s2am_ard_3-2-1_50JKN_2019-05-27_final.stac-item
2019-05-27 11:56:17	ga_s2am_ard_3-2-1_50JKM_2019-05-27_final.stac-item
2021-03-17 11:55:46	ga_s2am_ard_3-2-1_50JKP_2021-03-17_final.stac-item
2021-03-17 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-03-17_final.stac-item
2021-03-17 11:56:13	ga_s2am_ard_3-2-1_50JKM_2021-03-17_final.stac-item
2021-03-17 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-03-17_final.stac-item
2021-03-17 11:57:22	ga_s2am_ard_3-2-1_50HLG_2021-03-17_final
2021-03-20 12:05:11	ga_s2am_ard_3-2-1_50JKR_2021-03-20_final.stac-item
2021-03-20 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2021-03-20_final.stac-item
2021-03-20 12:05:36	ga_s2am_ard_3-2-1_50JKP_2021-03-20_final.stac-item
2021-03-20 12:05:43	ga_s2am_ard_3-2-1_50JKP_2021-03-20_final.stac-item
2021-03-20 12:05:54	ga_s2am_ard_3-2-1_50JKN_2021-03-20_final.stac-item
2021-03-20 12:06:09	ga_s2am_ard_3-2-1_50JKM_2021-03-20_final.stac-item
2021-03-27 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-03-27_final.stac-item
2021-03-27 11:57:21	ga_s2am_ard_3-2-1_50HLG_2021-03-27_final
2021-03-30 12:04:25	ga_s2am_ard_3-2-1_49KHP_2021-03-30_final.stac-item
2021-03-30 12:04:25	ga_s2am_ard_3-2-1_50KKU_2021-03-30_final.stac-item
2021-03-30 12:04:40	ga_s2am_ard_3-2-1_49JHN_2021-03-30_final.stac-item
2021-03-30 12:04:40	ga_s2am_ard_3-2-1_50JKT_2021-03-30_final.stac-item
2021-03-30 12:04:54	ga_s2am_ard_3-2-1_49JHM_2021-03-30_final.stac-item
2021-03-30 12:04:55	ga_s2am_ard_3-2-1_50JKS_2021-03-30_final.stac-item
2021-03-30 12:05:09	ga_s2am_ard_3-2-1_50JKR_2021-03-30_final.stac-item
2021-03-30 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2021-03-30_final.stac-item
2021-03-30 12:05:38	ga_s2am_ard_3-2-1_50JKP_2021-03-30_final.stac-item
2021-03-30 12:05:53	ga_s2am_ard_3-2-1_50JKN_2021-03-30_final.stac-item
2021-03-30 12:06:07	ga_s2am_ard_3-2-1_50JKM_2021-03-30_final.stac-item
2021-05-09 12:05:54	ga_s2am_ard_3-2-1_50JKN_2021-05-09_final.stac-item
2021-05-09 12:06:09	ga_s2am_ard_3-2-1_50JKM_2021-05-09_final.stac-item
2021-05-12 12:13:39	ga_s2am_ard_3-2-1_49KHS_2021-05-12_final
2024-01-24 12:06:15	ga_s2am_ard_3-2-1_50JKL_2024-01-24_final
2024-01-27 12:13:23	ga_s2am_ard_3-2-1_50KKC_2024-01-27_final
2024-01-27 12:13:23	ga_s2am_ard_3-2-1_49KHT_2024-01-27_nrt
2024-01-27 12:13:34	ga_s2am_ard_3-2-1_49KHS_2024-01-27_final
2024-01-31 11:56:24	ga_s2am_ard_3-2-1_50JKL_2024-01-31_final
2024-01-31 11:56:39	ga_s2am_ard_3-2-1_50HKK_2024-01-31_nrt
2024-01-31 11:57:05	ga_s2am_ard_3-2-1_50HLH_2024-01-31_final
2024-01-31 11:57:18	ga_s2am_ard_3-2-1_50HLG_2024-01-31_final
2024-01-31 11:57:19	ga_s2am_ard_3-2-1_50HKG_2024-01-31_final
2024-02-03 12:03:10	ga_s2am_ard_3-2-1_50KKD_2024-02-03_nrt
2024-02-03 12:03:13	ga_s2am_ard_3-2-1_49KHU_2024-02-03_nrt
2024-02-03 12:03:25	ga_s2am_ard_3-2-1_50KKC_2024-02-03_final
2024-02-03 12:03:26	ga_s2am_ard_3-2-1_49KHT_2024-02-03_nrt
2024-02-03 12:03:40	ga_s2am_ard_3-2-1_50KKB_2024-02-03_final
2024-02-03 12:03:40	ga_s2am_ard_3-2-1_49KHS_2024-02-03_final
2024-02-03 12:03:54	ga_s2am_ard_3-2-1_50KKA_2024-02-03_final
2024-02-03 12:03:55	ga_s2am_ard_3-2-1_49KHR_2024-02-03_final
2024-02-03 12:04:09	ga_s2am_ard_3-2-1_50KKV_2024-02-03_final
2024-02-03 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2024-02-03_final
2024-02-03 12:04:24	ga_s2am_ard_3-2-1_49KHP_2024-02-03_final
2024-02-03 12:04:24	ga_s2am_ard_3-2-1_50KKU_2024-02-03_final
2024-02-03 12:04:38	ga_s2am_ard_3-2-1_49JHN_2024-02-03_final
2024-02-03 12:04:38	ga_s2am_ard_3-2-1_50JKT_2024-02-03_final
2024-02-03 12:04:52	ga_s2am_ard_3-2-1_49JHM_2024-02-03_final
2024-02-03 12:04:53	ga_s2am_ard_3-2-1_50JKS_2024-02-03_final
2024-02-03 12:05:07	ga_s2am_ard_3-2-1_50JKR_2024-02-03_final
2024-02-03 12:05:22	ga_s2am_ard_3-2-1_50JKQ_2024-02-03_final
2024-02-03 12:05:37	ga_s2am_ard_3-2-1_50JKP_2024-02-03_final
2024-02-03 12:05:51	ga_s2am_ard_3-2-1_50JKN_2024-02-03_final
2024-02-03 12:06:05	ga_s2am_ard_3-2-1_50JKM_2024-02-03_final
2024-02-03 12:06:17	ga_s2am_ard_3-2-1_50JKL_2024-02-03_final
2024-03-04 12:03:15	ga_s2am_ard_3-2-1_50KKD_2024-03-04_nrt
2024-03-04 12:03:17	ga_s2am_ard_3-2-1_49KHU_2024-03-04_nrt
2024-03-04 12:03:30	ga_s2am_ard_3-2-1_50KKC_2024-03-04_final
2024-03-04 12:03:30	ga_s2am_ard_3-2-1_49KHT_2024-03-04_nrt
2024-03-04 12:03:45	ga_s2am_ard_3-2-1_50KKB_2024-03-04_final
2024-03-04 12:03:45	ga_s2am_ard_3-2-1_49KHS_2024-03-04_final
2024-03-04 12:03:59	ga_s2am_ard_3-2-1_50KKA_2024-03-04_final
2024-03-04 12:03:59	ga_s2am_ard_3-2-1_49KHR_2024-03-04_final
2024-03-04 12:04:14	ga_s2am_ard_3-2-1_50KKV_2024-03-04_final
2024-03-04 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2024-03-04_final
2024-03-04 12:04:28	ga_s2am_ard_3-2-1_49KHP_2024-03-04_final
2024-03-04 12:04:28	ga_s2am_ard_3-2-1_50KKU_2024-03-04_final
2024-03-04 12:04:43	ga_s2am_ard_3-2-1_49JHN_2024-03-04_final
2024-03-04 12:04:43	ga_s2am_ard_3-2-1_50JKT_2024-03-04_final
2024-03-04 12:04:57	ga_s2am_ard_3-2-1_49JHM_2024-03-04_final
2024-03-04 12:04:57	ga_s2am_ard_3-2-1_50JKS_2024-03-04_final
2024-03-04 12:05:12	ga_s2am_ard_3-2-1_50JKR_2024-03-04_final
2024-03-04 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2024-03-04_final
2024-03-04 12:05:41	ga_s2am_ard_3-2-1_50JKP_2024-03-04_final
2024-03-04 12:05:56	ga_s2am_ard_3-2-1_50JKN_2024-03-04_final
2024-03-04 12:06:10	ga_s2am_ard_3-2-1_50JKM_2024-03-04_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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