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
2018-11-18 10:17:19	ga_s2am_ard_3-2-1_54HVD_2018-11-18_final.stac-item
2018-11-28 10:17:17	ga_s2am_ard_3-2-1_54HVD_2018-11-28_final.stac-item
2018-11-29 09:47:06	ga_s2am_ard_3-2-1_55HEU_2018-11-29_final.stac-item
2018-11-29 09:47:09	ga_s2am_ard_3-2-1_55HDU_2018-11-29_final.stac-item
2018-11-29 09:47:13	ga_s2am_ard_3-2-1_55HCU_2018-11-29_final.stac-item
2018-11-29 09:47:20	ga_s2am_ard_3-2-1_55HET_2018-11-29_final.stac-item
2018-11-29 09:47:24	ga_s2am_ard_3-2-1_55HDT_2018-11-29_final.stac-item
2018-11-29 09:47:27	ga_s2am_ard_3-2-1_55HCT_2018-11-29_final.stac-item
2018-11-29 09:47:32	ga_s2am_ard_3-2-1_55HBT_2018-11-29_final.stac-item
2018-12-02 09:57:09	ga_s2am_ard_3-2-1_55HCU_2018-12-02_final.stac-item
2018-12-02 09:57:13	ga_s2am_ard_3-2-1_55HBU_2018-12-02_final.stac-item
2018-12-02 09:57:18	ga_s2am_ard_3-2-1_54HXD_2018-12-02_final.stac-item
2018-12-02 09:57:24	ga_s2am_ard_3-2-1_55HCT_2018-12-02_final.stac-item
2018-12-02 09:57:27	ga_s2am_ard_3-2-1_55HBT_2018-12-02_final.stac-item
2018-12-02 09:57:28	ga_s2am_ard_3-2-1_54HYC_2018-12-02_final.stac-item
2018-12-02 09:57:32	ga_s2am_ard_3-2-1_54HXC_2018-12-02_final.stac-item
2018-12-02 09:57:37	ga_s2am_ard_3-2-1_54HWC_2018-12-02_final.stac-item
2018-12-12 09:57:09	ga_s2am_ard_3-2-1_55HCU_2018-12-12_final.stac-item
2018-12-12 09:57:13	ga_s2am_ard_3-2-1_55HBU_2018-12-12_final.stac-item
2018-12-12 09:57:18	ga_s2am_ard_3-2-1_54HXD_2018-12-12_final.stac-item
2018-12-12 09:57:24	ga_s2am_ard_3-2-1_55HCT_2018-12-12_final.stac-item
2018-12-12 09:57:27	ga_s2am_ard_3-2-1_55HBT_2018-12-12_final.stac-item
2018-12-12 09:57:28	ga_s2am_ard_3-2-1_54HYC_2018-12-12_final.stac-item
2018-12-12 09:57:32	ga_s2am_ard_3-2-1_54HXC_2018-12-12_final.stac-item
2018-12-12 09:57:37	ga_s2am_ard_3-2-1_54HWC_2018-12-12_final.stac-item
2019-03-18 10:17:23	ga_s2am_ard_3-2-1_54HVD_2019-03-18_final.stac-item
2019-03-22 09:57:16	ga_s2am_ard_3-2-1_55HCU_2019-03-22_final.stac-item
2019-03-22 09:57:19	ga_s2am_ard_3-2-1_55HBU_2019-03-22_final.stac-item
2019-03-22 09:57:24	ga_s2am_ard_3-2-1_54HXD_2019-03-22_final.stac-item
2019-03-22 09:57:30	ga_s2am_ard_3-2-1_55HCT_2019-03-22_final.stac-item
2019-03-22 09:57:34	ga_s2am_ard_3-2-1_55HBT_2019-03-22_final.stac-item
2019-03-22 09:57:35	ga_s2am_ard_3-2-1_54HYC_2019-03-22_final.stac-item
2019-03-22 09:57:39	ga_s2am_ard_3-2-1_54HXC_2019-03-22_final.stac-item
2019-03-22 09:57:43	ga_s2am_ard_3-2-1_54HWC_2019-03-22_final.stac-item
2019-05-08 09:47:18	ga_s2am_ard_3-2-1_55HEU_2019-05-08_final.stac-item
2019-05-08 09:47:22	ga_s2am_ard_3-2-1_55HDU_2019-05-08_final.stac-item
2019-05-08 09:47:26	ga_s2am_ard_3-2-1_55HCU_2019-05-08_final.stac-item
2019-05-08 09:47:33	ga_s2am_ard_3-2-1_55HET_2019-05-08_final.stac-item
2019-05-08 09:47:33	ga_s2am_ard_3-2-1_55HBU_2019-05-08_final.stac-item
2019-05-08 09:47:37	ga_s2am_ard_3-2-1_55HDT_2019-05-08_final.stac-item
2019-05-08 09:47:40	ga_s2am_ard_3-2-1_55HCT_2019-05-08_final.stac-item
2019-05-08 09:47:44	ga_s2am_ard_3-2-1_55HBT_2019-05-08_final.stac-item
2019-05-25 09:37:22	ga_s2am_ard_3-2-1_55HEU_2019-05-25_final.stac-item
2019-05-25 09:37:36	ga_s2am_ard_3-2-1_55HET_2019-05-25_final.stac-item
2019-05-28 09:47:17	ga_s2am_ard_3-2-1_55HEU_2019-05-28_final.stac-item
2019-05-28 09:47:21	ga_s2am_ard_3-2-1_55HDU_2019-05-28_final.stac-item
2019-05-28 09:47:25	ga_s2am_ard_3-2-1_55HCU_2019-05-28_final.stac-item
2019-05-28 09:47:32	ga_s2am_ard_3-2-1_55HET_2019-05-28_final.stac-item
2019-05-28 09:47:32	ga_s2am_ard_3-2-1_55HBU_2019-05-28_final.stac-item
2019-05-28 09:47:36	ga_s2am_ard_3-2-1_55HDT_2019-05-28_final.stac-item
2019-05-28 09:47:39	ga_s2am_ard_3-2-1_55HCT_2019-05-28_final.stac-item
2019-05-28 09:47:43	ga_s2am_ard_3-2-1_55HBT_2019-05-28_final.stac-item
2019-07-03 10:07:27	ga_s2am_ard_3-2-1_54HXD_2019-07-03_final.stac-item
2019-07-03 10:07:31	ga_s2am_ard_3-2-1_54HWD_2019-07-03_final.stac-item
2019-07-03 10:07:35	ga_s2am_ard_3-2-1_54HVD_2019-07-03_final.stac-item
2019-07-03 10:07:41	ga_s2am_ard_3-2-1_54HXC_2019-07-03_final.stac-item
2019-07-03 10:07:45	ga_s2am_ard_3-2-1_54HWC_2019-07-03_final.stac-item
2019-07-06 10:17:31	ga_s2am_ard_3-2-1_54HVD_2019-07-06_final.stac-item
2024-04-05 09:27:00	ga_s2am_ard_3-2-1_56HND_2024-04-04_nrt
2024-04-05 09:27:04	ga_s2am_ard_3-2-1_56HMD_2024-04-04_nrt
2024-04-05 09:27:07	ga_s2am_ard_3-2-1_56HLD_2024-04-04_nrt
2024-04-05 09:27:11	ga_s2am_ard_3-2-1_56HKD_2024-04-04_final
2024-04-05 09:27:12	ga_s2am_ard_3-2-1_56HNC_2024-04-04_nrt
2024-04-05 09:27:18	ga_s2am_ard_3-2-1_56HMC_2024-04-04_nrt
2024-04-05 09:27:22	ga_s2am_ard_3-2-1_56HLC_2024-04-04_nrt
2024-04-05 09:27:25	ga_s2am_ard_3-2-1_56HKC_2024-04-04_final
2024-04-05 09:27:26	ga_s2am_ard_3-2-1_55HGT_2024-04-04_final
2024-04-08 09:37:14	ga_s2am_ard_3-2-1_55HFU_2024-04-08_final
2024-04-08 09:37:17	ga_s2am_ard_3-2-1_55HEU_2024-04-08_final
2024-04-08 09:37:23	ga_s2am_ard_3-2-1_56HKC_2024-04-08_nrt
2024-04-08 09:37:24	ga_s2am_ard_3-2-1_55HGT_2024-04-08_nrt
2024-04-08 09:37:28	ga_s2am_ard_3-2-1_55HFT_2024-04-08_final
2024-04-08 09:37:32	ga_s2am_ard_3-2-1_55HET_2024-04-08_final
2024-04-10 10:17:26	ga_s2am_ard_3-2-1_54HVD_2024-04-10_nrt
2024-04-10 10:17:29	ga_s2am_ard_3-2-1_54HUD_2024-04-10_nrt
2024-04-10 10:17:32	ga_s2am_ard_3-2-1_54HTD_2024-04-10_nrt
2024-04-10 10:17:37	ga_s2am_ard_3-2-1_54HVC_2024-04-10_nrt
2024-04-10 10:17:38	ga_s2am_ard_3-2-1_54HUC_2024-04-10_nrt
2024-04-10 10:17:40	ga_s2am_ard_3-2-1_54HTC_2024-04-10_nrt
2024-04-10 10:17:40	ga_s2am_ard_3-2-1_53HQT_2024-04-10_nrt
2024-04-14 09:57:20	ga_s2am_ard_3-2-1_55HCU_2024-04-14_nrt
2024-04-14 09:57:23	ga_s2am_ard_3-2-1_55HBU_2024-04-14_nrt
2024-04-14 09:57:28	ga_s2am_ard_3-2-1_54HXD_2024-04-14_nrt
2024-04-14 09:57:34	ga_s2am_ard_3-2-1_55HCT_2024-04-14_nrt
2024-04-14 09:57:38	ga_s2am_ard_3-2-1_55HBT_2024-04-14_nrt
2024-04-14 09:57:39	ga_s2am_ard_3-2-1_54HYC_2024-04-14_nrt
2024-04-14 09:57:42	ga_s2am_ard_3-2-1_54HXC_2024-04-14_nrt
2024-04-14 09:57:47	ga_s2am_ard_3-2-1_54HWC_2024-04-14_nrt
2024-04-17 10:07:33	ga_s2am_ard_3-2-1_54HVD_2024-04-17_nrt
2024-04-17 10:07:38	ga_s2am_ard_3-2-1_54HUD_2024-04-17_nrt
2024-04-17 10:07:39	ga_s2am_ard_3-2-1_54HXC_2024-04-17_nrt
2024-04-17 10:07:43	ga_s2am_ard_3-2-1_54HWC_2024-04-17_nrt
2024-04-17 10:07:50	ga_s2am_ard_3-2-1_54HUC_2024-04-17_nrt
2024-04-24 09:57:20	ga_s2am_ard_3-2-1_55HCU_2024-04-24_interim
2024-04-24 09:57:24	ga_s2am_ard_3-2-1_55HBU_2024-04-24_nrt
2024-04-24 09:57:29	ga_s2am_ard_3-2-1_54HXD_2024-04-24_nrt
2024-04-24 09:57:35	ga_s2am_ard_3-2-1_55HCT_2024-04-24_nrt
2024-04-24 09:57:38	ga_s2am_ard_3-2-1_55HBT_2024-04-24_nrt
2024-04-24 09:57:39	ga_s2am_ard_3-2-1_54HYC_2024-04-24_nrt
2024-04-24 09:57:43	ga_s2am_ard_3-2-1_54HXC_2024-04-24_nrt

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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