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
2023-02-05 11:57:11	ga_s2am_ard_3-2-1_50HKH_2023-02-05_nrt.stac-item
2023-02-05 11:57:13	ga_s2am_ard_3-2-1_49HGC_2023-02-05_nrt.stac-item
2023-02-06 09:39:34	ga_s2am_ard_3-2-1_56LPP_2023-02-06_nrt.stac-item
2023-02-06 09:39:37	ga_s2am_ard_3-2-1_56LNP_2023-02-06_nrt.stac-item
2023-02-06 09:39:41	ga_s2am_ard_3-2-1_56LMP_2023-02-06_nrt.stac-item
2023-02-06 09:39:47	ga_s2am_ard_3-2-1_56LLP_2023-02-06_nrt.stac-item
2023-02-06 09:41:17	ga_s2am_ard_3-2-1_56LKH_2023-02-06_nrt.stac-item
2023-02-06 09:41:29	ga_s2am_ard_3-2-1_56KKG_2023-02-06_final.stac-item
2023-02-06 09:41:33	ga_s2am_ard_3-2-1_56KNF_2023-02-06_nrt.stac-item
2023-02-06 09:41:37	ga_s2am_ard_3-2-1_56KMF_2023-02-06_final.stac-item
2023-02-06 09:41:40	ga_s2am_ard_3-2-1_56KLF_2023-02-06_final.stac-item
2023-02-06 09:42:06	ga_s2am_ard_3-2-1_56KMD_2023-02-06_final.stac-item
2023-02-06 09:42:24	ga_s2am_ard_3-2-1_56KLC_2023-02-06_nrt.stac-item
2023-02-06 09:42:27	ga_s2am_ard_3-2-1_56KKC_2023-02-06_nrt.stac-item
2023-02-06 09:42:39	ga_s2am_ard_3-2-1_56KLB_2023-02-06_final.stac-item
2023-02-06 09:42:49	ga_s2am_ard_3-2-1_56KMA_2023-02-06_final.stac-item
2023-02-06 09:43:15	ga_s2am_ard_3-2-1_55KGQ_2023-02-06_final.stac-item
2023-02-06 09:43:25	ga_s2am_ard_3-2-1_56KKU_2023-02-06_final.stac-item
2023-02-06 09:43:29	ga_s2am_ard_3-2-1_55KGP_2023-02-06_final.stac-item
2023-02-06 09:43:43	ga_s2am_ard_3-2-1_55JGN_2023-02-06_final.stac-item
2023-02-06 09:43:47	ga_s2am_ard_3-2-1_55JFN_2023-02-06_final.stac-item
2023-02-06 09:43:55	ga_s2am_ard_3-2-1_56JKS_2023-02-06_final.stac-item
2023-02-06 09:43:58	ga_s2am_ard_3-2-1_55JGM_2023-02-06_final.stac-item
2023-02-06 09:44:09	ga_s2am_ard_3-2-1_56JKR_2023-02-06_final.stac-item
2023-02-06 09:44:12	ga_s2am_ard_3-2-1_55JGL_2023-02-06_final.stac-item
2023-02-06 09:44:24	ga_s2am_ard_3-2-1_55JEL_2023-02-06_final.stac-item
2023-02-06 09:44:35	ga_s2am_ard_3-2-1_55JEK_2023-02-06_final.stac-item
2023-02-06 09:44:48	ga_s2am_ard_3-2-1_55JEJ_2023-02-06_final.stac-item
2023-02-06 09:45:07	ga_s2am_ard_3-2-1_56JKM_2023-02-06_final.stac-item
2023-02-06 09:45:10	ga_s2am_ard_3-2-1_55JGG_2023-02-06_final.stac-item
2023-02-06 09:45:18	ga_s2am_ard_3-2-1_55JEG_2023-02-06_final.stac-item
2023-02-06 09:45:25	ga_s2am_ard_3-2-1_55JDG_2023-02-06_final.stac-item
2023-02-06 09:45:36	ga_s2am_ard_3-2-1_55JDF_2023-02-06_final.stac-item
2023-02-06 09:46:06	ga_s2am_ard_3-2-1_55HGC_2023-02-06_final.stac-item
2023-02-06 09:46:43	ga_s2am_ard_3-2-1_55HFA_2023-02-06_final.stac-item
2023-02-06 09:46:45	ga_s2am_ard_3-2-1_55HEA_2023-02-06_final.stac-item
2023-02-06 09:46:48	ga_s2am_ard_3-2-1_55HDA_2023-02-06_final.stac-item
2023-02-06 09:46:55	ga_s2am_ard_3-2-1_55HFV_2023-02-06_final.stac-item
2023-02-06 09:46:59	ga_s2am_ard_3-2-1_55HEV_2023-02-06_final.stac-item
2023-02-06 09:47:03	ga_s2am_ard_3-2-1_55HDV_2023-02-06_final.stac-item
2023-02-06 09:47:06	ga_s2am_ard_3-2-1_55HCV_2023-02-06_final.stac-item
2023-02-06 09:47:42	ga_s2am_ard_3-2-1_55HES_2023-02-06_final.stac-item
2023-02-06 09:47:46	ga_s2am_ard_3-2-1_55HDS_2023-02-06_final.stac-item
2023-02-06 09:47:50	ga_s2am_ard_3-2-1_55HCS_2023-02-06_final.stac-item
2023-02-06 09:47:53	ga_s2am_ard_3-2-1_55HBS_2023-02-06_final.stac-item
2023-02-06 09:47:54	ga_s2am_ard_3-2-1_54HYB_2023-02-06_final.stac-item
2023-02-06 09:48:21	ga_s2am_ard_3-2-1_55GEP_2023-02-06_final.stac-item
2023-02-06 09:48:29	ga_s2am_ard_3-2-1_55GDP_2023-02-06_final.stac-item
2023-02-06 09:48:33	ga_s2am_ard_3-2-1_55GCP_2023-02-06_final.stac-item
2023-02-06 09:48:36	ga_s2am_ard_3-2-1_54GYU_2023-02-06_nrt.stac-item
2023-02-06 09:48:37	ga_s2am_ard_3-2-1_55GBP_2023-02-06_nrt.stac-item
2023-02-06 09:48:41	ga_s2am_ard_3-2-1_54GXU_2023-02-06_nrt.stac-item
2023-02-06 11:20:15	ga_s2am_ard_3-2-1_52LEP_2023-02-06_nrt.stac-item
2023-02-06 11:20:18	ga_s2am_ard_3-2-1_52LDP_2023-02-06_nrt.stac-item
2023-02-06 11:20:22	ga_s2am_ard_3-2-1_52LCP_2023-02-06_nrt.stac-item
2023-02-06 11:20:25	ga_s2am_ard_3-2-1_52LBP_2023-02-06_nrt.stac-item
2023-02-06 11:20:44	ga_s2am_ard_3-2-1_52LEM_2023-02-06_nrt.stac-item
2023-02-06 11:20:48	ga_s2am_ard_3-2-1_52LDM_2023-02-06_nrt.stac-item
2023-02-06 11:20:51	ga_s2am_ard_3-2-1_52LCM_2023-02-06_nrt.stac-item
2023-02-06 11:21:07	ga_s2am_ard_3-2-1_52LEK_2023-02-06_final.stac-item
2023-02-06 11:21:16	ga_s2am_ard_3-2-1_52LDK_2023-02-06_nrt.stac-item
2023-02-06 11:21:20	ga_s2am_ard_3-2-1_52LCK_2023-02-06_final.stac-item
2023-02-06 11:21:23	ga_s2am_ard_3-2-1_52LBK_2023-02-06_final.stac-item
2023-02-06 11:21:24	ga_s2am_ard_3-2-1_51LZE_2023-02-06_final.stac-item
2023-02-06 11:21:37	ga_s2am_ard_3-2-1_52LBJ_2023-02-06_final.stac-item
2023-02-06 11:21:39	ga_s2am_ard_3-2-1_51LZD_2023-02-06_final.stac-item
2023-02-06 11:21:49	ga_s2am_ard_3-2-1_52LCH_2023-02-06_final.stac-item
2023-02-06 11:21:52	ga_s2am_ard_3-2-1_52LBH_2023-02-06_final.stac-item
2023-02-06 11:21:53	ga_s2am_ard_3-2-1_51LZC_2023-02-06_final.stac-item
2023-02-06 11:21:58	ga_s2am_ard_3-2-1_51LYC_2023-02-06_final.stac-item
2023-02-06 11:22:07	ga_s2am_ard_3-2-1_52KBG_2023-02-06_final.stac-item
2023-02-06 11:22:11	ga_s2am_ard_3-2-1_52KDF_2023-02-06_final.stac-item
2023-02-06 11:22:18	ga_s2am_ard_3-2-1_52KCF_2023-02-06_final.stac-item
2023-02-06 11:22:59	ga_s2am_ard_3-2-1_51KXU_2023-02-06_final.stac-item
2023-02-06 11:23:02	ga_s2am_ard_3-2-1_52KCC_2023-02-06_final.stac-item
2023-02-06 11:23:05	ga_s2am_ard_3-2-1_52KBC_2023-02-06_final.stac-item
2023-02-06 11:23:09	ga_s2am_ard_3-2-1_51KYT_2023-02-06_final.stac-item
2023-02-06 11:23:15	ga_s2am_ard_3-2-1_52KCB_2023-02-06_final.stac-item
2023-02-06 11:23:19	ga_s2am_ard_3-2-1_52KBB_2023-02-06_final.stac-item
2023-02-06 11:23:48	ga_s2am_ard_3-2-1_52KBV_2023-02-06_final.stac-item
2023-02-06 11:23:53	ga_s2am_ard_3-2-1_51KYQ_2023-02-06_final.stac-item
2023-02-06 11:24:03	ga_s2am_ard_3-2-1_52KBU_2023-02-06_final.stac-item
2023-02-06 11:24:07	ga_s2am_ard_3-2-1_51KYP_2023-02-06_final.stac-item
2023-02-06 11:24:22	ga_s2am_ard_3-2-1_51JYN_2023-02-06_final.stac-item
2023-02-06 11:24:28	ga_s2am_ard_3-2-1_51JWN_2023-02-06_final.stac-item
2023-02-06 11:24:31	ga_s2am_ard_3-2-1_52JBS_2023-02-06_final.stac-item
2023-02-06 11:24:36	ga_s2am_ard_3-2-1_51JYM_2023-02-06_final.stac-item
2023-02-06 11:24:42	ga_s2am_ard_3-2-1_52JBR_2023-02-06_final.stac-item
2023-02-06 11:24:43	ga_s2am_ard_3-2-1_51JWM_2023-02-06_final.stac-item
2023-02-06 11:24:50	ga_s2am_ard_3-2-1_51JYL_2023-02-06_final.stac-item
2023-02-06 11:24:58	ga_s2am_ard_3-2-1_51JWL_2023-02-06_final.stac-item
2023-02-06 11:25:02	ga_s2am_ard_3-2-1_51JVL_2023-02-06_final.stac-item
2023-02-06 11:25:12	ga_s2am_ard_3-2-1_51JWK_2023-02-06_final.stac-item
2023-02-06 11:25:15	ga_s2am_ard_3-2-1_51JVK_2023-02-06_final.stac-item
2023-02-06 11:25:44	ga_s2am_ard_3-2-1_51JYG_2023-02-06_final.stac-item
2023-02-06 11:25:56	ga_s2am_ard_3-2-1_51JWG_2023-02-06_final.stac-item
2023-02-06 11:25:59	ga_s2am_ard_3-2-1_51JVG_2023-02-06_final.stac-item
2023-02-06 11:26:10	ga_s2am_ard_3-2-1_51JWF_2023-02-06_final.stac-item
2023-02-06 11:26:13	ga_s2am_ard_3-2-1_51JVF_2023-02-06_final.stac-item
2023-02-06 11:26:46	ga_s2am_ard_3-2-1_51HXC_2023-02-06_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

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