Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2022-02-01 09:46:07	ga_s2am_ard_3-2-1_55HGC_2022-02-01_final
2022-02-01 09:46:17	ga_s2am_ard_3-2-1_55HEC_2022-02-01_final
2022-02-01 09:46:17	ga_s2am_ard_3-2-1_55HGB_2022-02-01_final
2022-02-01 09:46:20	ga_s2am_ard_3-2-1_55HDC_2022-02-01_final
2022-02-01 09:46:31	ga_s2am_ard_3-2-1_55HEB_2022-02-01_final
2022-02-01 09:46:35	ga_s2am_ard_3-2-1_55HDB_2022-02-01_final
2022-02-01 09:46:39	ga_s2am_ard_3-2-1_55HCB_2022-02-01_final
2022-02-01 09:46:42	ga_s2am_ard_3-2-1_55HFA_2022-02-01_final
2022-02-01 09:46:46	ga_s2am_ard_3-2-1_55HEA_2022-02-01_final
2022-02-01 09:46:48	ga_s2am_ard_3-2-1_55HDA_2022-02-01_final
2022-02-01 09:46:50	ga_s2am_ard_3-2-1_55HCA_2022-02-01_final
2022-02-01 09:46:52	ga_s2am_ard_3-2-1_55HFV_2022-02-01_final
2022-02-01 09:46:53	ga_s2am_ard_3-2-1_55HEV_2022-02-01_final
2022-02-01 09:46:53	ga_s2am_ard_3-2-1_55HEA_2022-02-01_final
2022-02-01 09:46:55	ga_s2am_ard_3-2-1_55HDV_2022-02-01_final
2022-02-01 09:46:55	ga_s2am_ard_3-2-1_55HDA_2022-02-01_final
2022-02-01 09:46:56	ga_s2am_ard_3-2-1_55HCA_2022-02-01_final
2022-02-01 09:47:00	ga_s2am_ard_3-2-1_55HEV_2022-02-01_final
2022-02-01 09:47:04	ga_s2am_ard_3-2-1_55HDV_2022-02-01_final
2022-02-01 09:47:19	ga_s2am_ard_3-2-1_55HFT_2022-02-01_final.stac-item
2022-02-01 09:47:22	ga_s2am_ard_3-2-1_55HCU_2022-02-01_final
2022-02-01 09:47:29	ga_s2am_ard_3-2-1_55HET_2022-02-01_final
2022-02-01 09:47:33	ga_s2am_ard_3-2-1_55HDT_2022-02-01_final
2022-02-01 09:47:36	ga_s2am_ard_3-2-1_55HCT_2022-02-01_final
2022-02-01 09:47:40	ga_s2am_ard_3-2-1_55HBT_2022-02-01_final
2022-02-01 09:47:44	ga_s2am_ard_3-2-1_54HYC_2022-02-01_final
2022-02-01 09:47:58	ga_s2am_ard_3-2-1_55GER_2022-02-01_final
2022-02-01 09:48:02	ga_s2am_ard_3-2-1_55GDR_2022-02-01_final
2022-02-01 09:48:05	ga_s2am_ard_3-2-1_55GCR_2022-02-01_final
2022-02-01 09:48:09	ga_s2am_ard_3-2-1_55GBR_2022-02-01_final
2022-02-01 09:48:09	ga_s2am_ard_3-2-1_54GYA_2022-02-01_final
2022-02-01 09:48:11	ga_s2am_ard_3-2-1_55GEQ_2022-02-01_final
2022-02-01 09:48:16	ga_s2am_ard_3-2-1_55GDQ_2022-02-01_final
2022-02-01 09:48:20	ga_s2am_ard_3-2-1_55GCQ_2022-02-01_final
2022-02-01 09:48:22	ga_s2am_ard_3-2-1_55GEP_2022-02-01_final
2022-02-01 09:48:23	ga_s2am_ard_3-2-1_55GBQ_2022-02-01_final.stac-item
2022-02-01 09:48:23	ga_s2am_ard_3-2-1_54GYV_2022-02-01_final.stac-item
2022-02-01 09:48:30	ga_s2am_ard_3-2-1_55GDP_2022-02-01_final
2022-02-01 09:48:34	ga_s2am_ard_3-2-1_55GCP_2022-02-01_final
2022-02-01 09:48:45	ga_s2am_ard_3-2-1_55GDN_2022-02-01_final
2022-02-01 09:48:49	ga_s2am_ard_3-2-1_55GCN_2022-02-01_final
2022-02-01 09:48:58	ga_s2am_ard_3-2-1_55GDM_2022-02-01_final.stac-item
2022-02-01 09:49:00	ga_s2am_ard_3-2-1_55GCM_2022-02-01_final.stac-item
2022-02-01 11:20:58	ga_s2am_ard_3-2-1_52LEL_2022-02-01_final.stac-item
2022-02-01 11:21:32	ga_s2am_ard_3-2-1_52LDJ_2022-02-01_final
2022-02-01 11:21:35	ga_s2am_ard_3-2-1_52LCJ_2022-02-01_final
2022-02-01 11:21:50	ga_s2am_ard_3-2-1_52LCH_2022-02-01_final
2022-02-01 11:22:00	ga_s2am_ard_3-2-1_52KDG_2022-02-01_final
2022-02-01 11:22:05	ga_s2am_ard_3-2-1_52KCG_2022-02-01_final
2022-02-01 11:22:08	ga_s2am_ard_3-2-1_52KBG_2022-02-01_final
2022-02-01 11:22:09	ga_s2am_ard_3-2-1_51KZB_2022-02-01_final
2022-02-01 11:22:12	ga_s2am_ard_3-2-1_51KYB_2022-02-01_final
2022-02-01 11:22:52	ga_s2am_ard_3-2-1_51KZU_2022-02-01_final
2022-02-01 11:23:07	ga_s2am_ard_3-2-1_51KZT_2022-02-01_final
2022-02-01 11:23:21	ga_s2am_ard_3-2-1_51KZS_2022-02-01_final
2022-02-01 11:23:35	ga_s2am_ard_3-2-1_51KZR_2022-02-01_final
2022-02-01 11:23:49	ga_s2am_ard_3-2-1_52KBV_2022-02-01_final
2022-02-01 11:23:50	ga_s2am_ard_3-2-1_51KZQ_2022-02-01_final
2022-02-01 11:23:54	ga_s2am_ard_3-2-1_51KYQ_2022-02-01_final
2022-02-01 11:24:04	ga_s2am_ard_3-2-1_51KZP_2022-02-01_final
2022-02-01 11:24:04	ga_s2am_ard_3-2-1_52KBU_2022-02-01_final
2022-02-01 11:24:08	ga_s2am_ard_3-2-1_51KYP_2022-02-01_final
2022-02-01 11:24:12	ga_s2am_ard_3-2-1_51KXP_2022-02-01_final
2022-02-01 11:24:19	ga_s2am_ard_3-2-1_51JZN_2022-02-01_final
2022-02-01 11:24:19	ga_s2am_ard_3-2-1_52JBT_2022-02-01_final
2022-02-01 11:24:23	ga_s2am_ard_3-2-1_51JYN_2022-02-01_final
2022-02-01 11:24:26	ga_s2am_ard_3-2-1_51JXN_2022-02-01_final
2022-02-01 11:24:32	ga_s2am_ard_3-2-1_51JZM_2022-02-01_final
2022-02-01 11:24:41	ga_s2am_ard_3-2-1_51JXM_2022-02-01_final
2022-02-01 11:24:51	ga_s2am_ard_3-2-1_51JYL_2022-02-01_final
2022-02-01 11:24:55	ga_s2am_ard_3-2-1_51JXL_2022-02-01_final
2022-02-01 11:24:59	ga_s2am_ard_3-2-1_51JWL_2022-02-01_final
2022-02-01 11:25:03	ga_s2am_ard_3-2-1_51JVL_2022-02-01_final
2022-02-01 11:25:13	ga_s2am_ard_3-2-1_51JWK_2022-02-01_final
2022-02-01 11:25:16	ga_s2am_ard_3-2-1_51JVK_2022-02-01_final
2022-02-01 11:25:20	ga_s2am_ard_3-2-1_51JYJ_2022-02-01_final
2022-02-01 11:25:24	ga_s2am_ard_3-2-1_51JXJ_2022-02-01_final
2022-02-01 11:25:31	ga_s2am_ard_3-2-1_51JVJ_2022-02-01_final
2022-02-01 11:25:34	ga_s2am_ard_3-2-1_51JYH_2022-02-01_final
2022-02-01 11:25:38	ga_s2am_ard_3-2-1_51JXH_2022-02-01_final
2022-02-01 11:25:42	ga_s2am_ard_3-2-1_51JWH_2022-02-01_final
2022-02-01 11:25:46	ga_s2am_ard_3-2-1_51JVH_2022-02-01_final
2022-02-01 11:25:53	ga_s2am_ard_3-2-1_51JXG_2022-02-01_final
2022-02-01 11:25:57	ga_s2am_ard_3-2-1_51JWG_2022-02-01_final
2022-02-01 11:26:00	ga_s2am_ard_3-2-1_51JVG_2022-02-01_final
2022-02-01 11:26:05	ga_s2am_ard_3-2-1_51JUG_2022-02-01_final
2022-02-01 11:26:11	ga_s2am_ard_3-2-1_51JWF_2022-02-01_final
2022-02-01 11:26:15	ga_s2am_ard_3-2-1_51JVF_2022-02-01_final
2022-02-01 11:26:26	ga_s2am_ard_3-2-1_51HWE_2022-02-01_final
2022-02-01 11:26:29	ga_s2am_ard_3-2-1_51HVE_2022-02-01_final
2022-02-01 11:26:32	ga_s2am_ard_3-2-1_51HUE_2022-02-01_final
2022-02-01 11:26:36	ga_s2am_ard_3-2-1_51HXD_2022-02-01_final
2022-02-01 11:26:40	ga_s2am_ard_3-2-1_51HWD_2022-02-01_final
2022-02-01 11:26:44	ga_s2am_ard_3-2-1_51HVD_2022-02-01_final
2022-02-01 11:26:47	ga_s2am_ard_3-2-1_51HUD_2022-02-01_final
2022-02-01 11:26:54	ga_s2am_ard_3-2-1_51HWC_2022-02-01_final.stac-item
2022-02-01 11:26:58	ga_s2am_ard_3-2-1_51HVC_2022-02-01_final
2022-02-01 11:27:02	ga_s2am_ard_3-2-1_51HUC_2022-02-01_final
2022-02-01 11:27:08	ga_s2am_ard_3-2-1_51HWB_2022-02-01_final.stac-item
2022-02-01 11:27:12	ga_s2am_ard_3-2-1_51HUB_2022-02-01_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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