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
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55LFC_2017-11-27_final.stac-item
2017-11-27 09:50:49	ga_s2am_ard_3-2-1_55LGC_2017-11-27_final.stac-item
2017-11-27 11:26:51	ga_s2am_ard_3-2-1_51LYC_2017-11-27_final.stac-item
2017-11-27 11:26:51	ga_s2am_ard_3-2-1_51LZC_2017-11-27_final.stac-item
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51LWC_2017-11-27_final.stac-item
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51LXC_2017-11-27_final.stac-item
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51LXD_2017-11-27_final.stac-item
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51LYC_2017-11-27_final.stac-item
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51LZC_2017-11-27_final.stac-item
2017-11-30 09:57:02	ga_s2am_ard_3-2-1_55LCC_2017-11-30_final.stac-item
2017-11-30 09:57:02	ga_s2am_ard_3-2-1_55LCD_2017-11-30_final.stac-item
2017-11-30 09:57:02	ga_s2am_ard_3-2-1_55LEC_2017-11-30_final.stac-item
2017-11-30 09:57:02	ga_s2am_ard_3-2-1_55LFC_2017-11-30_final.stac-item
2017-12-17 09:50:49	ga_s2am_ard_3-2-1_55LFC_2017-12-17_final.stac-item
2017-12-17 09:50:49	ga_s2am_ard_3-2-1_55LGC_2017-12-17_final.stac-item
2017-12-20 09:57:02	ga_s2am_ard_3-2-1_55LCC_2017-12-20_final.stac-item
2017-12-20 09:57:02	ga_s2am_ard_3-2-1_55LCD_2017-12-20_final.stac-item
2017-12-20 09:57:02	ga_s2am_ard_3-2-1_55LEC_2017-12-20_final.stac-item
2017-12-20 09:57:02	ga_s2am_ard_3-2-1_55LFC_2017-12-20_final.stac-item
2019-06-27 11:21:36	ga_s2am_ard_3-2-1_52LDJ_2019-06-27_final.stac-item
2019-06-27 11:21:40	ga_s2am_ard_3-2-1_52LCJ_2019-06-27_final.stac-item
2019-06-27 11:21:51	ga_s2am_ard_3-2-1_52LDH_2019-06-27_final.stac-item
2019-06-27 11:21:55	ga_s2am_ard_3-2-1_52LCH_2019-06-27_final.stac-item
2019-06-27 11:21:58	ga_s2am_ard_3-2-1_52LBH_2019-06-27_final.stac-item
2019-06-27 11:21:59	ga_s2am_ard_3-2-1_51LZC_2019-06-27_final.stac-item
2019-06-27 11:22:03	ga_s2am_ard_3-2-1_51LYC_2019-06-27_final.stac-item
2019-06-30 11:31:47	ga_s2am_ard_3-2-1_51LXD_2019-06-30_final.stac-item
2019-06-30 11:31:53	ga_s2am_ard_3-2-1_51LZC_2019-06-30_final.stac-item
2019-06-30 11:31:58	ga_s2am_ard_3-2-1_51LYC_2019-06-30_final.stac-item
2019-06-30 11:32:01	ga_s2am_ard_3-2-1_51LXC_2019-06-30_final.stac-item
2019-06-30 11:32:05	ga_s2am_ard_3-2-1_51LWC_2019-06-30_final.stac-item
2019-07-10 09:51:21	ga_s2am_ard_3-2-1_55LGC_2019-07-10_final.stac-item
2019-07-10 09:51:24	ga_s2am_ard_3-2-1_55LFC_2019-07-10_final.stac-item
2019-07-17 11:21:37	ga_s2am_ard_3-2-1_52LDJ_2019-07-17_final.stac-item
2019-07-17 11:21:41	ga_s2am_ard_3-2-1_52LCJ_2019-07-17_final.stac-item
2019-07-17 11:21:52	ga_s2am_ard_3-2-1_52LDH_2019-07-17_final.stac-item
2019-07-17 11:21:55	ga_s2am_ard_3-2-1_52LCH_2019-07-17_final.stac-item
2019-07-17 11:21:58	ga_s2am_ard_3-2-1_52LBH_2019-07-17_final.stac-item
2019-07-17 11:22:00	ga_s2am_ard_3-2-1_51LZC_2019-07-17_final.stac-item
2019-07-17 11:22:04	ga_s2am_ard_3-2-1_51LYC_2019-07-17_final.stac-item
2020-05-27 10:31:15	ga_s2am_ard_3-2-1_54LWJ_2020-05-27_final.stac-item
2020-05-27 10:31:19	ga_s2am_ard_3-2-1_54LVJ_2020-05-27_final
2020-05-27 10:31:23	ga_s2am_ard_3-2-1_54LUJ_2020-05-27_final
2020-05-27 10:31:28	ga_s2am_ard_3-2-1_54LWH_2020-05-27_final.stac-item
2020-05-27 10:31:34	ga_s2am_ard_3-2-1_54LVH_2020-05-27_final.stac-item
2020-05-27 10:31:37	ga_s2am_ard_3-2-1_54LUH_2020-05-27_final.stac-item
2020-05-28 10:01:17	ga_s2am_ard_3-2-1_55LCD_2020-05-28_final.stac-item
2020-05-28 10:01:20	ga_s2am_ard_3-2-1_55LFC_2020-05-28_final.stac-item
2020-05-28 10:01:24	ga_s2am_ard_3-2-1_55LEC_2020-05-28_final.stac-item
2020-05-28 10:01:30	ga_s2am_ard_3-2-1_55LCC_2020-05-28_final.stac-item
2020-06-02 10:51:24	ga_s2am_ard_3-2-1_53LPD_2020-06-02_final
2020-06-07 10:01:18	ga_s2am_ard_3-2-1_55LCD_2020-06-07_final.stac-item
2020-06-07 10:01:20	ga_s2am_ard_3-2-1_55LFC_2020-06-07_final.stac-item
2020-06-07 10:01:24	ga_s2am_ard_3-2-1_55LEC_2020-06-07_final.stac-item
2020-06-07 10:01:30	ga_s2am_ard_3-2-1_55LCC_2020-06-07_final.stac-item
2020-06-13 10:21:21	ga_s2am_ard_3-2-1_54LWJ_2020-06-13_final.stac-item
2020-06-13 10:21:32	ga_s2am_ard_3-2-1_54LXH_2020-06-13_final.stac-item
2020-06-13 10:21:35	ga_s2am_ard_3-2-1_54LWH_2020-06-13_final.stac-item
2020-06-13 10:21:39	ga_s2am_ard_3-2-1_54LVH_2020-06-13_final.stac-item
2020-06-14 09:51:18	ga_s2am_ard_3-2-1_55LHC_2020-06-14_final
2020-06-14 09:51:22	ga_s2am_ard_3-2-1_55LGC_2020-06-14_final.stac-item
2020-06-14 09:51:25	ga_s2am_ard_3-2-1_55LFC_2020-06-14_final.stac-item
2021-07-20 11:01:41	ga_s2am_ard_3-2-1_53LLC_2021-07-20_final.stac-item
2021-07-20 11:01:45	ga_s2am_ard_3-2-1_53LKC_2021-07-20_final.stac-item
2021-07-20 11:01:46	ga_s2am_ard_3-2-1_52LHH_2021-07-20_final.stac-item
2021-07-20 11:01:49	ga_s2am_ard_3-2-1_52LGH_2021-07-20_final.stac-item
2021-07-20 11:01:53	ga_s2am_ard_3-2-1_52LFH_2021-07-20_final.stac-item
2021-07-24 10:41:27	ga_s2am_ard_3-2-1_53LPD_2021-07-24_final
2021-07-24 10:41:33	ga_s2am_ard_3-2-1_53LND_2021-07-24_final.stac-item
2021-07-24 10:41:38	ga_s2am_ard_3-2-1_53LQC_2021-07-24_final
2021-07-24 10:41:41	ga_s2am_ard_3-2-1_53LPC_2021-07-24_final
2021-07-24 10:41:45	ga_s2am_ard_3-2-1_53LNC_2021-07-24_final.stac-item
2022-01-25 11:31:42	ga_s2am_ard_3-2-1_51LXD_2022-01-25_final.stac-item
2022-01-25 11:31:49	ga_s2am_ard_3-2-1_51LZC_2022-01-25_final.stac-item
2022-01-25 11:31:53	ga_s2am_ard_3-2-1_51LYC_2022-01-25_final.stac-item
2022-01-25 11:31:57	ga_s2am_ard_3-2-1_51LXC_2022-01-25_final.stac-item
2022-01-25 11:32:00	ga_s2am_ard_3-2-1_51LWC_2022-01-25_final.stac-item
2022-01-27 10:31:10	ga_s2am_ard_3-2-1_54LWJ_2022-01-27_final.stac-item
2022-01-27 10:31:13	ga_s2am_ard_3-2-1_54LVJ_2022-01-27_final
2022-01-27 10:31:17	ga_s2am_ard_3-2-1_54LUJ_2022-01-27_final
2022-01-27 10:31:22	ga_s2am_ard_3-2-1_54LWH_2022-01-27_final.stac-item
2022-01-27 10:31:28	ga_s2am_ard_3-2-1_54LVH_2022-01-27_final.stac-item
2022-01-27 10:31:31	ga_s2am_ard_3-2-1_54LUH_2022-01-27_final.stac-item
2022-01-28 11:41:47	ga_s2am_ard_3-2-1_51LUD_2022-01-28_final
2022-01-28 11:41:55	ga_s2am_ard_3-2-1_51LWC_2022-01-28_final.stac-item
2022-02-03 10:21:11	ga_s2am_ard_3-2-1_54LXJ_2022-02-03_final.stac-item
2022-02-03 10:21:15	ga_s2am_ard_3-2-1_54LWJ_2022-02-03_final.stac-item
2022-02-03 10:21:21	ga_s2am_ard_3-2-1_54LVJ_2022-02-03_final
2022-02-03 10:21:22	ga_s2am_ard_3-2-1_54LYH_2022-02-03_final.stac-item
2022-02-03 10:21:26	ga_s2am_ard_3-2-1_54LXH_2022-02-03_final.stac-item
2022-02-03 10:21:29	ga_s2am_ard_3-2-1_54LWH_2022-02-03_final.stac-item
2022-02-03 10:21:33	ga_s2am_ard_3-2-1_54LVH_2022-02-03_final.stac-item
2022-02-05 11:01:38	ga_s2am_ard_3-2-1_53LLC_2022-02-05_final.stac-item
2022-02-05 11:01:41	ga_s2am_ard_3-2-1_53LKC_2022-02-05_final.stac-item
2022-02-05 11:01:42	ga_s2am_ard_3-2-1_52LHH_2022-02-05_final.stac-item
2022-02-05 11:01:46	ga_s2am_ard_3-2-1_52LGH_2022-02-05_final.stac-item
2022-02-05 11:01:50	ga_s2am_ard_3-2-1_52LFH_2022-02-05_final.stac-item
2022-02-07 11:41:47	ga_s2am_ard_3-2-1_51LUD_2022-02-07_final
2022-02-07 11:41:55	ga_s2am_ard_3-2-1_51LWC_2022-02-07_final.stac-item
2022-02-07 11:41:58	ga_s2am_ard_3-2-1_51LVC_2022-02-07_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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