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:

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First 100 results (query limit)

Time (local)	Label
2023-01-20 09:51:10	ga_s2am_ard_3-2-1_55LGC_2023-01-20_final.stac-item
2023-01-20 09:51:42	ga_s2am_ard_3-2-1_55KFA_2023-01-20_final.stac-item
2023-01-20 09:52:08	ga_s2am_ard_3-2-1_55KGU_2023-01-20_final.stac-item
2023-01-20 09:52:12	ga_s2am_ard_3-2-1_55KFU_2023-01-20_final.stac-item
2023-01-20 09:52:15	ga_s2am_ard_3-2-1_55KEU_2023-01-20_final.stac-item
2023-01-20 09:52:22	ga_s2am_ard_3-2-1_55KGT_2023-01-20_final.stac-item
2023-01-20 09:52:26	ga_s2am_ard_3-2-1_55KFT_2023-01-20_final.stac-item
2023-01-20 09:52:37	ga_s2am_ard_3-2-1_55KGS_2023-01-20_final.stac-item
2023-01-20 09:53:57	ga_s2am_ard_3-2-1_55JEM_2023-01-20_final.stac-item
2023-01-20 09:54:17	ga_s2am_ard_3-2-1_55JCL_2023-01-20_final.stac-item
2023-01-20 09:54:26	ga_s2am_ard_3-2-1_55JEK_2023-01-20_final.stac-item
2023-01-20 09:54:29	ga_s2am_ard_3-2-1_55JDK_2023-01-20_final.stac-item
2023-01-20 09:54:40	ga_s2am_ard_3-2-1_55JEJ_2023-01-20_final.stac-item
2023-01-20 09:54:43	ga_s2am_ard_3-2-1_55JDJ_2023-01-20_final.stac-item
2023-01-20 09:55:09	ga_s2am_ard_3-2-1_55JEG_2023-01-20_final.stac-item
2023-01-20 09:55:13	ga_s2am_ard_3-2-1_55JDG_2023-01-20_final.stac-item
2023-01-20 09:55:19	ga_s2am_ard_3-2-1_55JBG_2023-01-20_final.stac-item
2023-01-20 09:55:24	ga_s2am_ard_3-2-1_55JEF_2023-01-20_final.stac-item
2023-01-20 09:55:27	ga_s2am_ard_3-2-1_55JDF_2023-01-20_final.stac-item
2023-01-20 09:56:17	ga_s2am_ard_3-2-1_55HBC_2023-01-20_final.stac-item
2023-01-20 09:56:19	ga_s2am_ard_3-2-1_54HYH_2023-01-20_final.stac-item
2023-01-20 09:56:40	ga_s2am_ard_3-2-1_55HDA_2023-01-20_final.stac-item
2023-01-20 09:56:53	ga_s2am_ard_3-2-1_55HDV_2023-01-20_final.stac-item
2023-01-20 09:56:58	ga_s2am_ard_3-2-1_55HCV_2023-01-20_final.stac-item
2023-01-20 09:57:01	ga_s2am_ard_3-2-1_55HBV_2023-01-20_final.stac-item
2023-01-20 09:57:06	ga_s2am_ard_3-2-1_54HXE_2023-01-20_final.stac-item
2023-01-20 09:57:53	ga_s2am_ard_3-2-1_54HWB_2023-01-20_nrt.stac-item
2023-01-20 09:58:18	ga_s2am_ard_3-2-1_55GCP_2023-01-20_final.stac-item
2023-01-20 09:58:23	ga_s2am_ard_3-2-1_54GYU_2023-01-20_nrt.stac-item
2023-01-20 09:58:24	ga_s2am_ard_3-2-1_55GBP_2023-01-20_final.stac-item
2023-01-20 09:58:25	ga_s2am_ard_3-2-1_54GXU_2023-01-20_nrt.stac-item
2023-01-20 11:30:09	ga_s2am_ard_3-2-1_52LCP_2023-01-20_nrt.stac-item
2023-01-20 11:30:15	ga_s2am_ard_3-2-1_52LBP_2023-01-20_nrt.stac-item
2023-01-20 11:30:18	ga_s2am_ard_3-2-1_51LZJ_2023-01-20_nrt.stac-item
2023-01-20 11:30:21	ga_s2am_ard_3-2-1_51LYJ_2023-01-20_nrt.stac-item
2023-01-20 11:30:24	ga_s2am_ard_3-2-1_51LXJ_2023-01-20_nrt.stac-item
2023-01-20 11:30:30	ga_s2am_ard_3-2-1_52LBN_2023-01-20_nrt.stac-item
2023-01-20 11:30:32	ga_s2am_ard_3-2-1_51LZH_2023-01-20_nrt.stac-item
2023-01-20 11:30:36	ga_s2am_ard_3-2-1_51LYH_2023-01-20_nrt.stac-item
2023-01-20 11:30:39	ga_s2am_ard_3-2-1_51LXH_2023-01-20_nrt.stac-item
2023-01-20 11:30:59	ga_s2am_ard_3-2-1_52LBL_2023-01-20_final.stac-item
2023-01-20 11:31:01	ga_s2am_ard_3-2-1_51LZF_2023-01-20_final.stac-item
2023-01-20 11:31:05	ga_s2am_ard_3-2-1_51LYF_2023-01-20_final.stac-item
2023-01-20 11:31:08	ga_s2am_ard_3-2-1_51LXF_2023-01-20_nrt.stac-item
2023-01-20 11:31:22	ga_s2am_ard_3-2-1_51LXE_2023-01-20_final.stac-item
2023-01-20 11:31:25	ga_s2am_ard_3-2-1_51LWE_2023-01-20_final.stac-item
2023-01-20 11:32:20	ga_s2am_ard_3-2-1_51KXA_2023-01-20_final.stac-item
2023-01-20 11:32:45	ga_s2am_ard_3-2-1_51KYU_2023-01-20_final.stac-item
2023-01-20 11:32:49	ga_s2am_ard_3-2-1_51KXU_2023-01-20_final.stac-item
2023-01-20 11:32:53	ga_s2am_ard_3-2-1_51KWU_2023-01-20_final.stac-item
2023-01-20 11:32:56	ga_s2am_ard_3-2-1_51KVU_2023-01-20_final.stac-item
2023-01-20 11:33:04	ga_s2am_ard_3-2-1_51KXT_2023-01-20_final.stac-item
2023-01-20 11:33:07	ga_s2am_ard_3-2-1_51KWT_2023-01-20_final.stac-item
2023-01-20 11:33:11	ga_s2am_ard_3-2-1_51KVT_2023-01-20_final.stac-item
2023-01-20 11:33:18	ga_s2am_ard_3-2-1_51KXS_2023-01-20_final.stac-item
2023-01-20 11:33:29	ga_s2am_ard_3-2-1_51KUS_2023-01-20_final.stac-item
2023-01-20 11:34:05	ga_s2am_ard_3-2-1_51KWP_2023-01-20_final.stac-item
2023-01-20 11:34:09	ga_s2am_ard_3-2-1_51KVP_2023-01-20_final.stac-item
2023-01-20 11:34:44	ga_s2am_ard_3-2-1_51JTM_2023-01-20_final.stac-item
2023-01-20 11:34:49	ga_s2am_ard_3-2-1_51JWL_2023-01-20_final.stac-item
2023-01-20 11:34:52	ga_s2am_ard_3-2-1_51JVL_2023-01-20_final.stac-item
2023-01-20 11:34:56	ga_s2am_ard_3-2-1_51JUL_2023-01-20_final.stac-item
2023-01-20 11:34:59	ga_s2am_ard_3-2-1_51JTL_2023-01-20_final.stac-item
2023-01-20 11:35:03	ga_s2am_ard_3-2-1_51JWK_2023-01-20_final.stac-item
2023-01-20 11:35:07	ga_s2am_ard_3-2-1_51JVK_2023-01-20_final.stac-item
2023-01-20 11:35:14	ga_s2am_ard_3-2-1_51JWJ_2023-01-20_final.stac-item
2023-01-20 11:35:21	ga_s2am_ard_3-2-1_51JVJ_2023-01-20_final.stac-item
2023-01-20 11:35:51	ga_s2am_ard_3-2-1_51JVG_2023-01-20_final.stac-item
2023-01-20 11:35:57	ga_s2am_ard_3-2-1_51JTG_2023-01-20_final.stac-item
2023-01-20 11:36:00	ga_s2am_ard_3-2-1_50JQM_2023-01-20_final.stac-item
2023-01-20 11:36:05	ga_s2am_ard_3-2-1_51JVF_2023-01-20_final.stac-item
2023-01-20 11:36:21	ga_s2am_ard_3-2-1_50JPL_2023-01-20_final.stac-item
2023-01-20 11:36:55	ga_s2am_ard_3-2-1_51HTC_2023-01-20_final.stac-item
2023-01-20 11:36:57	ga_s2am_ard_3-2-1_50HQH_2023-01-20_final.stac-item
2023-01-21 09:22:34	ga_s2am_ard_3-2-1_56KQB_2023-01-20_interim.stac-item
2023-01-21 09:22:36	ga_s2am_ard_3-2-1_56KPB_2023-01-20_final.stac-item
2023-01-21 09:24:04	ga_s2am_ard_3-2-1_56JNR_2023-01-20_final.stac-item
2023-01-21 09:24:19	ga_s2am_ard_3-2-1_56JNQ_2023-01-20_final.stac-item
2023-01-21 09:24:23	ga_s2am_ard_3-2-1_56JMQ_2023-01-20_final.stac-item
2023-01-21 09:24:33	ga_s2am_ard_3-2-1_56JNP_2023-01-20_final.stac-item
2023-01-21 09:24:36	ga_s2am_ard_3-2-1_56JMP_2023-01-20_final.stac-item
2023-01-21 09:25:02	ga_s2am_ard_3-2-1_56JNM_2023-01-20_final.stac-item
2023-01-21 09:25:06	ga_s2am_ard_3-2-1_56JMM_2023-01-20_final.stac-item
2023-01-21 09:25:17	ga_s2am_ard_3-2-1_56JNL_2023-01-20_final.stac-item
2023-01-21 09:25:20	ga_s2am_ard_3-2-1_56JML_2023-01-20_final.stac-item
2023-01-21 09:26:29	ga_s2am_ard_3-2-1_56HNF_2023-01-20_nrt.stac-item
2023-01-21 09:26:33	ga_s2am_ard_3-2-1_56HMF_2023-01-20_nrt.stac-item
2023-01-21 09:26:44	ga_s2am_ard_3-2-1_56HNE_2023-01-20_nrt.stac-item
2023-01-21 09:26:47	ga_s2am_ard_3-2-1_56HME_2023-01-20_nrt.stac-item
2023-01-21 09:26:54	ga_s2am_ard_3-2-1_56HKE_2023-01-20_final.stac-item
2023-01-21 09:27:38	ga_s2am_ard_3-2-1_56HKB_2023-01-20_nrt.stac-item
2023-01-21 09:27:44	ga_s2am_ard_3-2-1_55HFS_2023-01-20_final.stac-item
2023-01-21 09:28:13	ga_s2am_ard_3-2-1_56GMU_2023-01-20_nrt.stac-item
2023-01-21 09:28:18	ga_s2am_ard_3-2-1_56GLU_2023-01-20_nrt.stac-item
2023-01-21 09:28:21	ga_s2am_ard_3-2-1_55GGP_2023-01-20_nrt.stac-item
2023-01-21 09:28:21	ga_s2am_ard_3-2-1_56GKU_2023-01-20_nrt.stac-item
2023-01-21 09:28:24	ga_s2am_ard_3-2-1_55GFP_2023-01-20_final.stac-item
2023-01-21 09:28:29	ga_s2am_ard_3-2-1_56GKU_2023-01-20_nrt.stac-item
2023-01-21 09:28:29	ga_s2am_ard_3-2-1_55GGP_2023-01-20_nrt.stac-item
2023-01-21 09:28:30	ga_s2am_ard_3-2-1_55GFP_2023-01-20_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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