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
2023-12-24 10:53:57	ga_s2am_ard_3-2-1_52KGU_2023-12-24_final.stac-item
2023-12-24 10:54:18	ga_s2am_ard_3-2-1_52JFT_2023-12-24_final.stac-item
2023-12-24 10:55:10	ga_s2am_ard_3-2-1_52JGP_2023-12-24_final.stac-item
2023-12-24 10:55:24	ga_s2am_ard_3-2-1_52JGN_2023-12-24_final.stac-item
2023-12-25 10:26:36	ga_s2am_ard_3-2-1_53HNC_2023-12-25_final.stac-item
2023-12-25 10:26:40	ga_s2am_ard_3-2-1_53HPC_2023-12-25_final.stac-item
2023-12-25 10:26:41	ga_s2am_ard_3-2-1_53HNC_2023-12-25_final.stac-item
2023-12-25 12:03:14	ga_s2am_ard_3-2-1_50KMC_2023-12-25_final.stac-item
2023-12-25 12:03:21	ga_s2am_ard_3-2-1_50KMC_2023-12-25_final.stac-item
2023-12-25 12:03:30	ga_s2am_ard_3-2-1_50KNB_2023-12-25_final.stac-item
2023-12-25 12:03:56	ga_s2am_ard_3-2-1_50KKA_2023-12-25_final.stac-item
2023-12-25 12:03:56	ga_s2am_ard_3-2-1_49KHR_2023-12-25_final.stac-item
2023-12-25 12:04:07	ga_s2am_ard_3-2-1_50KLV_2023-12-25_final.stac-item
2023-12-25 12:04:10	ga_s2am_ard_3-2-1_50KKV_2023-12-25_final.stac-item
2023-12-25 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2023-12-25_final.stac-item
2023-12-25 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2023-12-25_final.stac-item
2023-12-25 12:04:18	ga_s2am_ard_3-2-1_50KMU_2023-12-25_final.stac-item
2023-12-25 12:04:21	ga_s2am_ard_3-2-1_50KLU_2023-12-25_final.stac-item
2023-12-25 12:04:25	ga_s2am_ard_3-2-1_49KHP_2023-12-25_final.stac-item
2023-12-25 12:04:28	ga_s2am_ard_3-2-1_49KGP_2023-12-25_final.stac-item
2023-12-25 12:04:32	ga_s2am_ard_3-2-1_50JMT_2023-12-25_final.stac-item
2023-12-25 12:04:36	ga_s2am_ard_3-2-1_50JLT_2023-12-25_final.stac-item
2023-12-25 12:04:39	ga_s2am_ard_3-2-1_49JHN_2023-12-25_final.stac-item
2023-12-25 12:04:50	ga_s2am_ard_3-2-1_50JLS_2023-12-25_final.stac-item
2023-12-25 12:04:53	ga_s2am_ard_3-2-1_49JHM_2023-12-25_final.stac-item
2023-12-25 12:04:54	ga_s2am_ard_3-2-1_50JKS_2023-12-25_final.stac-item
2023-12-25 12:04:57	ga_s2am_ard_3-2-1_49JGM_2023-12-25_final.stac-item
2023-12-25 12:05:09	ga_s2am_ard_3-2-1_50JKR_2023-12-25_final.stac-item
2023-12-25 12:05:12	ga_s2am_ard_3-2-1_49JGL_2023-12-25_final.stac-item
2023-12-25 12:05:48	ga_s2am_ard_3-2-1_50JLN_2023-12-25_final.stac-item
2023-12-25 12:06:06	ga_s2am_ard_3-2-1_50JKM_2023-12-25_final.stac-item
2023-12-26 11:31:10	ga_s2am_ard_3-2-1_52LBK_2023-12-26_final.stac-item
2023-12-26 11:31:15	ga_s2am_ard_3-2-1_52LBK_2023-12-26_final.stac-item
2023-12-26 11:31:17	ga_s2am_ard_3-2-1_51LZE_2023-12-26_final.stac-item
2023-12-26 11:31:45	ga_s2am_ard_3-2-1_51LZC_2023-12-26_final.stac-item
2023-12-26 11:31:50	ga_s2am_ard_3-2-1_51LYC_2023-12-26_final.stac-item
2023-12-26 11:31:57	ga_s2am_ard_3-2-1_51LWC_2023-12-26_final.stac-item
2023-12-26 11:32:04	ga_s2am_ard_3-2-1_51KYB_2023-12-26_final.stac-item
2023-12-26 11:32:08	ga_s2am_ard_3-2-1_51KXB_2023-12-26_final.stac-item
2023-12-26 11:32:11	ga_s2am_ard_3-2-1_51KWB_2023-12-26_final.stac-item
2023-12-26 11:32:19	ga_s2am_ard_3-2-1_51KYA_2023-12-26_final.stac-item
2023-12-26 11:32:29	ga_s2am_ard_3-2-1_51KVA_2023-12-26_final.stac-item
2023-12-26 11:32:34	ga_s2am_ard_3-2-1_51KYV_2023-12-26_final.stac-item
2023-12-26 11:32:47	ga_s2am_ard_3-2-1_51KYU_2023-12-26_final.stac-item
2023-12-26 11:33:06	ga_s2am_ard_3-2-1_51KXT_2023-12-26_final.stac-item
2023-12-26 11:33:10	ga_s2am_ard_3-2-1_51KWT_2023-12-26_final.stac-item
2023-12-26 11:33:13	ga_s2am_ard_3-2-1_51KVT_2023-12-26_final.stac-item
2023-12-26 11:33:27	ga_s2am_ard_3-2-1_51KVS_2023-12-26_final.stac-item
2023-12-26 11:33:45	ga_s2am_ard_3-2-1_51KUR_2023-12-26_final.stac-item
2023-12-26 11:34:02	ga_s2am_ard_3-2-1_51KXP_2023-12-26_final.stac-item
2023-12-26 11:34:26	ga_s2am_ard_3-2-1_51JVN_2023-12-26_final.stac-item
2023-12-26 11:34:43	ga_s2am_ard_3-2-1_51JUM_2023-12-26_final.stac-item
2023-12-26 11:34:58	ga_s2am_ard_3-2-1_51JUL_2023-12-26_final.stac-item
2023-12-26 11:35:05	ga_s2am_ard_3-2-1_51JWK_2023-12-26_final.stac-item
2023-12-26 11:35:12	ga_s2am_ard_3-2-1_51JUK_2023-12-26_final.stac-item
2023-12-26 11:35:16	ga_s2am_ard_3-2-1_51JTK_2023-12-26_final.stac-item
2023-12-26 11:35:27	ga_s2am_ard_3-2-1_51JUJ_2023-12-26_final.stac-item
2023-12-26 11:35:38	ga_s2am_ard_3-2-1_51JVH_2023-12-26_final.stac-item
2023-12-26 11:35:42	ga_s2am_ard_3-2-1_51JUH_2023-12-26_final.stac-item
2023-12-26 11:35:50	ga_s2am_ard_3-2-1_51JVG_2023-12-26_final.stac-item
2023-12-26 11:35:54	ga_s2am_ard_3-2-1_51JTG_2023-12-26_final.stac-item
2023-12-26 11:35:57	ga_s2am_ard_3-2-1_51JVG_2023-12-26_final.stac-item
2023-12-26 11:36:01	ga_s2am_ard_3-2-1_51JTG_2023-12-26_final.stac-item
2023-12-26 11:36:20	ga_s2am_ard_3-2-1_51HVE_2023-12-26_final.stac-item
2023-12-26 11:36:29	ga_s2am_ard_3-2-1_51HTE_2023-12-26_final.stac-item
2023-12-26 11:36:30	ga_s2am_ard_3-2-1_51HVD_2023-12-26_final.stac-item
2023-12-26 11:36:35	ga_s2am_ard_3-2-1_50HPK_2023-12-26_final.stac-item
2023-12-26 11:36:45	ga_s2am_ard_3-2-1_50HQJ_2023-12-26_final.stac-item
2023-12-26 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2023-12-26_final.stac-item
2023-12-26 11:37:00	ga_s2am_ard_3-2-1_50HQH_2023-12-26_final.stac-item
2023-12-26 11:37:04	ga_s2am_ard_3-2-1_50HPH_2023-12-26_final.stac-item
2023-12-26 11:37:12	ga_s2am_ard_3-2-1_51HTB_2023-12-26_final.stac-item
2023-12-26 11:37:14	ga_s2am_ard_3-2-1_50HQG_2023-12-26_final.stac-item
2023-12-26 11:37:18	ga_s2am_ard_3-2-1_50HPG_2023-12-26_final.stac-item
2023-12-27 11:00:45	ga_s2am_ard_3-2-1_52LGM_2023-12-27_final.stac-item
2023-12-27 11:00:56	ga_s2am_ard_3-2-1_52LHL_2023-12-27_final.stac-item
2023-12-27 11:00:59	ga_s2am_ard_3-2-1_52LGL_2023-12-27_final.stac-item
2023-12-27 11:01:11	ga_s2am_ard_3-2-1_52LHK_2023-12-27_final.stac-item
2023-12-27 11:01:36	ga_s2am_ard_3-2-1_52LFJ_2023-12-27_final.stac-item
2023-12-27 11:01:43	ga_s2am_ard_3-2-1_52LGH_2023-12-27_final.stac-item
2023-12-27 11:01:58	ga_s2am_ard_3-2-1_52KGG_2023-12-27_final.stac-item
2023-12-27 11:02:15	ga_s2am_ard_3-2-1_52KFF_2023-12-27_final.stac-item
2023-12-27 11:02:37	ga_s2am_ard_3-2-1_52KHD_2023-12-27_final.stac-item
2023-12-27 11:02:49	ga_s2am_ard_3-2-1_52KED_2023-12-27_final.stac-item
2023-12-27 11:02:55	ga_s2am_ard_3-2-1_52KGC_2023-12-27_final.stac-item
2023-12-27 11:03:06	ga_s2am_ard_3-2-1_52KHB_2023-12-27_final.stac-item
2023-12-27 11:03:10	ga_s2am_ard_3-2-1_52KGB_2023-12-27_final.stac-item
2023-12-27 11:03:31	ga_s2am_ard_3-2-1_52KEA_2023-12-27_final.stac-item
2023-12-27 11:03:53	ga_s2am_ard_3-2-1_52KGU_2023-12-27_final.stac-item
2023-12-27 11:04:00	ga_s2am_ard_3-2-1_52KEU_2023-12-27_final.stac-item
2023-12-27 11:04:08	ga_s2am_ard_3-2-1_52JGT_2023-12-27_final.stac-item
2023-12-27 11:04:11	ga_s2am_ard_3-2-1_52JFT_2023-12-27_final.stac-item
2023-12-27 11:04:26	ga_s2am_ard_3-2-1_52JFS_2023-12-27_final.stac-item
2023-12-27 11:04:33	ga_s2am_ard_3-2-1_52JDS_2023-12-27_final.stac-item
2023-12-27 11:04:47	ga_s2am_ard_3-2-1_52JDR_2023-12-27_final.stac-item
2023-12-27 11:05:23	ga_s2am_ard_3-2-1_52JFN_2023-12-27_final.stac-item
2023-12-27 11:05:27	ga_s2am_ard_3-2-1_52JEN_2023-12-27_final.stac-item
2023-12-27 11:05:34	ga_s2am_ard_3-2-1_52JCN_2023-12-27_final.stac-item
2024-01-06 11:06:17	ga_s2am_ard_3-2-1_52HEJ_2024-01-06_nrt.stac-item
2024-01-06 11:06:24	ga_s2am_ard_3-2-1_52HEJ_2024-01-06_nrt.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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