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
2019-07-03 10:05:38	ga_s2am_ard_3-2-1_54JWM_2019-07-03_final.stac-item
2019-07-03 10:05:50	ga_s2am_ard_3-2-1_54JWL_2019-07-03_final.stac-item
2019-07-03 10:06:04	ga_s2am_ard_3-2-1_54HWK_2019-07-03_final.stac-item
2019-07-03 10:06:19	ga_s2am_ard_3-2-1_54HWJ_2019-07-03_final.stac-item
2019-07-03 10:06:33	ga_s2am_ard_3-2-1_54HWH_2019-07-03_final.stac-item
2019-07-03 10:06:47	ga_s2am_ard_3-2-1_54HWG_2019-07-03_final.stac-item
2019-07-03 10:07:02	ga_s2am_ard_3-2-1_54HWF_2019-07-03_final.stac-item
2019-07-03 10:07:16	ga_s2am_ard_3-2-1_54HWE_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 10:07:45	ga_s2am_ard_3-2-1_54HWC_2019-07-03_final.stac-item
2023-12-08 10:29:34	ga_s2am_ard_3-2-1_54LXQ_2023-12-08_final
2023-12-08 10:29:48	ga_s2am_ard_3-2-1_54LXP_2023-12-08_final
2023-12-08 10:29:52	ga_s2am_ard_3-2-1_54LWP_2023-12-08_final
2023-12-08 10:30:02	ga_s2am_ard_3-2-1_54LXN_2023-12-08_final
2023-12-08 10:30:06	ga_s2am_ard_3-2-1_54LWN_2023-12-08_final
2023-12-08 10:30:12	ga_s2am_ard_3-2-1_54LXM_2023-12-08_final
2023-12-08 10:30:20	ga_s2am_ard_3-2-1_54LWM_2023-12-08_final
2023-12-12 10:12:53	ga_s2am_ard_3-2-1_54KXB_2023-12-12_final
2023-12-12 10:12:59	ga_s2am_ard_3-2-1_54KWB_2023-12-12_final
2023-12-12 10:13:07	ga_s2am_ard_3-2-1_54KXA_2023-12-12_final
2023-12-12 10:13:11	ga_s2am_ard_3-2-1_54KWA_2023-12-12_final
2023-12-12 10:13:22	ga_s2am_ard_3-2-1_54KXV_2023-12-12_final
2023-12-12 10:13:25	ga_s2am_ard_3-2-1_54KWV_2023-12-12_final
2023-12-12 10:13:36	ga_s2am_ard_3-2-1_54KXU_2023-12-12_final
2023-12-12 10:13:40	ga_s2am_ard_3-2-1_54KWU_2023-12-12_final
2023-12-12 10:13:51	ga_s2am_ard_3-2-1_54JXT_2023-12-12_final
2023-12-12 10:13:54	ga_s2am_ard_3-2-1_54JWT_2023-12-12_final
2023-12-12 10:14:05	ga_s2am_ard_3-2-1_54JXS_2023-12-12_final
2023-12-12 10:14:09	ga_s2am_ard_3-2-1_54JWS_2023-12-12_final
2023-12-12 10:14:20	ga_s2am_ard_3-2-1_54JXR_2023-12-12_final
2023-12-12 10:14:23	ga_s2am_ard_3-2-1_54JWR_2023-12-12_final
2023-12-12 10:14:38	ga_s2am_ard_3-2-1_54JWQ_2023-12-12_final
2023-12-12 10:14:49	ga_s2am_ard_3-2-1_54JWP_2023-12-12_final
2024-01-25 09:57:39	ga_s2am_ard_3-2-1_54HWC_2024-01-25_final
2024-01-25 09:57:52	ga_s2am_ard_3-2-1_54HWB_2024-01-25_interim.stac-item
2024-01-25 09:58:07	ga_s2am_ard_3-2-1_54GWA_2024-01-25_nrt
2024-01-25 09:58:20	ga_s2am_ard_3-2-1_54GWV_2024-01-25_interim.stac-item
2024-02-23 10:20:26	ga_s2am_ard_3-2-1_54LXM_2024-02-23_final
2024-02-23 10:20:40	ga_s2am_ard_3-2-1_54LXL_2024-02-23_final
2024-02-23 10:22:40	ga_s2am_ard_3-2-1_54KWC_2024-02-23_final
2024-02-23 10:22:51	ga_s2am_ard_3-2-1_54KXB_2024-02-23_final
2024-02-23 10:22:54	ga_s2am_ard_3-2-1_54KWB_2024-02-23_final
2024-02-23 10:23:04	ga_s2am_ard_3-2-1_54KXA_2024-02-23_final
2024-02-23 10:23:09	ga_s2am_ard_3-2-1_54KWA_2024-02-23_final
2024-02-23 10:23:15	ga_s2am_ard_3-2-1_54KXV_2024-02-23_final
2024-02-23 10:23:23	ga_s2am_ard_3-2-1_54KWV_2024-02-23_final
2024-02-24 09:57:44	ga_s2am_ard_3-2-1_54HWC_2024-02-24_final
2024-02-24 09:57:57	ga_s2am_ard_3-2-1_54HWB_2024-02-24_nrt
2024-02-24 09:58:11	ga_s2am_ard_3-2-1_54GWA_2024-02-24_nrt
2024-02-24 09:58:24	ga_s2am_ard_3-2-1_54GWV_2024-02-24_nrt
2024-02-27 10:05:32	ga_s2am_ard_3-2-1_54JWM_2024-02-27_final
2024-02-27 10:05:44	ga_s2am_ard_3-2-1_54JWL_2024-02-27_final
2024-02-27 10:05:58	ga_s2am_ard_3-2-1_54HWK_2024-02-27_final
2024-02-27 10:06:13	ga_s2am_ard_3-2-1_54HWJ_2024-02-27_final
2024-02-27 10:06:27	ga_s2am_ard_3-2-1_54HWH_2024-02-27_final
2024-02-27 10:06:42	ga_s2am_ard_3-2-1_54HWG_2024-02-27_final
2024-02-27 10:06:56	ga_s2am_ard_3-2-1_54HWF_2024-02-27_final
2024-02-27 10:07:11	ga_s2am_ard_3-2-1_54HWE_2024-02-27_final
2024-02-27 10:07:25	ga_s2am_ard_3-2-1_54HWD_2024-02-27_final
2024-02-27 10:07:40	ga_s2am_ard_3-2-1_54HWC_2024-02-27_final
2024-02-27 10:07:48	ga_s2am_ard_3-2-1_54HWB_2024-02-27_nrt
2024-03-01 10:12:56	ga_s2am_ard_3-2-1_54KXB_2024-03-01_final
2024-03-01 10:13:01	ga_s2am_ard_3-2-1_54KWB_2024-03-01_final
2024-03-01 10:13:03	ga_s2am_ard_3-2-1_54KXB_2024-03-01_final
2024-03-01 10:13:05	ga_s2am_ard_3-2-1_54KWB_2024-03-01_final
2024-03-01 10:14:43	ga_s2am_ard_3-2-1_54JWQ_2024-03-01_final
2024-03-01 10:14:57	ga_s2am_ard_3-2-1_54JWP_2024-03-01_final
2024-03-01 10:15:12	ga_s2am_ard_3-2-1_54JWN_2024-03-01_final
2024-03-01 10:15:26	ga_s2am_ard_3-2-1_54JWM_2024-03-01_final
2024-03-01 10:15:41	ga_s2am_ard_3-2-1_54JWL_2024-03-01_final
2024-03-01 10:15:55	ga_s2am_ard_3-2-1_54HWK_2024-03-01_final
2024-03-04 10:19:59	ga_s2am_ard_3-2-1_54LXP_2024-03-04_final
2024-03-04 10:20:14	ga_s2am_ard_3-2-1_54LXN_2024-03-04_final
2024-03-04 10:20:18	ga_s2am_ard_3-2-1_54LWN_2024-03-04_final
2024-03-04 10:20:28	ga_s2am_ard_3-2-1_54LXM_2024-03-04_final
2024-03-04 10:20:31	ga_s2am_ard_3-2-1_54LWM_2024-03-04_final
2024-03-04 10:20:43	ga_s2am_ard_3-2-1_54LXL_2024-03-04_final
2024-03-04 10:20:46	ga_s2am_ard_3-2-1_54LWL_2024-03-04_final
2024-03-28 10:06:28	ga_s2am_ard_3-2-1_54HWH_2024-03-28_final
2024-03-28 10:06:43	ga_s2am_ard_3-2-1_54HWG_2024-03-28_final
2024-03-28 10:06:57	ga_s2am_ard_3-2-1_54HWF_2024-03-28_final
2024-03-28 10:07:12	ga_s2am_ard_3-2-1_54HWE_2024-03-28_final
2024-03-28 10:07:26	ga_s2am_ard_3-2-1_54HWD_2024-03-28_final
2024-03-28 10:07:41	ga_s2am_ard_3-2-1_54HWC_2024-03-28_final
2024-03-28 10:07:49	ga_s2am_ard_3-2-1_54HWB_2024-03-28_nrt
2024-03-31 10:15:11	ga_s2am_ard_3-2-1_54JWN_2024-03-31_final
2024-03-31 10:15:25	ga_s2am_ard_3-2-1_54JWM_2024-03-31_final
2024-03-31 10:15:40	ga_s2am_ard_3-2-1_54JWL_2024-03-31_final
2024-03-31 10:15:54	ga_s2am_ard_3-2-1_54HWK_2024-03-31_final
2024-03-31 10:16:08	ga_s2am_ard_3-2-1_54HWJ_2024-03-31_final
2024-04-27 10:05:35	ga_s2am_ard_3-2-1_54JWM_2024-04-27_final
2024-04-27 10:05:47	ga_s2am_ard_3-2-1_54JWL_2024-04-27_final
2024-04-27 10:06:01	ga_s2am_ard_3-2-1_54HWK_2024-04-27_final
2024-04-27 10:06:16	ga_s2am_ard_3-2-1_54HWJ_2024-04-27_final
2024-04-27 10:06:30	ga_s2am_ard_3-2-1_54HWH_2024-04-27_final
2024-04-27 10:06:45	ga_s2am_ard_3-2-1_54HWG_2024-04-27_final
2024-04-27 10:06:59	ga_s2am_ard_3-2-1_54HWF_2024-04-27_final
2024-04-27 10:07:14	ga_s2am_ard_3-2-1_54HWE_2024-04-27_final
2024-04-27 10:07:28	ga_s2am_ard_3-2-1_54HWD_2024-04-27_final
2024-04-27 10:07:43	ga_s2am_ard_3-2-1_54HWC_2024-04-27_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

All years