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
2023-12-08 12:15:08	ga_s2am_ard_3-2-1_49JFL_2023-12-08_final.stac-item
2023-12-09 08:24:20	ga_s2am_ard_3-2-1_59JKH_2023-12-08_final.stac-item
2023-12-09 08:24:21	ga_s2am_ard_3-2-1_58JGN_2023-12-08_final.stac-item
2023-12-09 09:59:52	ga_s2am_ard_3-2-1_55LGH_2023-12-09_nrt.stac-item
2023-12-09 10:00:22	ga_s2am_ard_3-2-1_55LGF_2023-12-09_nrt.stac-item
2023-12-09 10:00:25	ga_s2am_ard_3-2-1_55LFF_2023-12-09_nrt.stac-item
2023-12-09 10:00:39	ga_s2am_ard_3-2-1_55LFE_2023-12-09_nrt.stac-item
2023-12-09 10:00:43	ga_s2am_ard_3-2-1_55LEE_2023-12-09_nrt.stac-item
2023-12-09 10:00:46	ga_s2am_ard_3-2-1_55LDE_2023-12-09_nrt.stac-item
2023-12-09 10:00:54	ga_s2am_ard_3-2-1_55LFD_2023-12-09_nrt.stac-item
2023-12-09 10:00:58	ga_s2am_ard_3-2-1_55LED_2023-12-09_nrt.stac-item
2023-12-09 10:01:01	ga_s2am_ard_3-2-1_55LDD_2023-12-09_nrt.stac-item
2023-12-09 10:01:06	ga_s2am_ard_3-2-1_55LCD_2023-12-09_final.stac-item
2023-12-09 10:01:50	ga_s2am_ard_3-2-1_55KFV_2023-12-09_final.stac-item
2023-12-09 10:02:09	ga_s2am_ard_3-2-1_55KBV_2023-12-09_final.stac-item
2023-12-09 10:02:34	ga_s2am_ard_3-2-1_55KBT_2023-12-09_final.stac-item
2023-12-09 10:02:46	ga_s2am_ard_3-2-1_55KCS_2023-12-09_final.stac-item
2023-12-09 10:02:49	ga_s2am_ard_3-2-1_55KBS_2023-12-09_final.stac-item
2023-12-09 10:02:53	ga_s2am_ard_3-2-1_55KER_2023-12-09_final.stac-item
2023-12-09 10:02:57	ga_s2am_ard_3-2-1_55KDR_2023-12-09_final.stac-item
2023-12-09 10:03:00	ga_s2am_ard_3-2-1_55KCR_2023-12-09_final.stac-item
2023-12-09 10:03:03	ga_s2am_ard_3-2-1_55KEQ_2023-12-09_final.stac-item
2023-12-09 10:03:04	ga_s2am_ard_3-2-1_55KBR_2023-12-09_final.stac-item
2023-12-09 10:03:11	ga_s2am_ard_3-2-1_55KDQ_2023-12-09_final.stac-item
2023-12-09 10:03:15	ga_s2am_ard_3-2-1_55KCQ_2023-12-09_final.stac-item
2023-12-09 10:03:18	ga_s2am_ard_3-2-1_55KBQ_2023-12-09_final.stac-item
2023-12-09 10:03:33	ga_s2am_ard_3-2-1_55KBP_2023-12-09_final.stac-item
2023-12-09 10:03:37	ga_s2am_ard_3-2-1_54KYU_2023-12-09_final.stac-item
2023-12-09 10:03:55	ga_s2am_ard_3-2-1_55JDM_2023-12-09_final.stac-item
2023-12-09 10:04:05	ga_s2am_ard_3-2-1_54JYS_2023-12-09_final.stac-item
2023-12-09 10:04:08	ga_s2am_ard_3-2-1_55JDL_2023-12-09_final.stac-item
2023-12-09 10:04:42	ga_s2am_ard_3-2-1_55JCJ_2023-12-09_final.stac-item
2023-12-09 10:04:45	ga_s2am_ard_3-2-1_55JBJ_2023-12-09_final.stac-item
2023-12-09 10:04:46	ga_s2am_ard_3-2-1_54JYP_2023-12-09_final.stac-item
2023-12-09 10:04:48	ga_s2am_ard_3-2-1_54JXP_2023-12-09_final.stac-item
2023-12-09 10:04:50	ga_s2am_ard_3-2-1_55JCJ_2023-12-09_final.stac-item
2023-12-09 10:04:51	ga_s2am_ard_3-2-1_55JBH_2023-12-09_final.stac-item
2023-12-09 10:04:52	ga_s2am_ard_3-2-1_55JBJ_2023-12-09_final.stac-item
2023-12-09 10:04:53	ga_s2am_ard_3-2-1_54JYP_2023-12-09_final.stac-item
2023-12-09 10:04:55	ga_s2am_ard_3-2-1_54JXP_2023-12-09_final.stac-item
2023-12-09 10:05:00	ga_s2am_ard_3-2-1_55JBH_2023-12-09_final.stac-item
2023-12-09 10:05:03	ga_s2am_ard_3-2-1_54JYN_2023-12-09_final.stac-item
2023-12-09 10:05:23	ga_s2am_ard_3-2-1_55JCF_2023-12-09_final.stac-item
2023-12-09 10:05:35	ga_s2am_ard_3-2-1_54JXL_2023-12-09_final.stac-item
2023-12-09 10:06:13	ga_s2am_ard_3-2-1_55HBC_2023-12-09_final.stac-item
2023-12-09 10:06:15	ga_s2am_ard_3-2-1_54HYH_2023-12-09_final.stac-item
2023-12-09 10:06:40	ga_s2am_ard_3-2-1_55HBA_2023-12-09_final.stac-item
2023-12-09 10:06:44	ga_s2am_ard_3-2-1_54HYF_2023-12-09_final.stac-item
2023-12-09 10:06:48	ga_s2am_ard_3-2-1_54HXF_2023-12-09_final.stac-item
2023-12-09 10:06:50	ga_s2am_ard_3-2-1_55HBV_2023-12-09_final.stac-item
2023-12-09 10:07:42	ga_s2am_ard_3-2-1_54HXB_2023-12-09_final.stac-item
2023-12-09 10:07:43	ga_s2am_ard_3-2-1_54HWB_2023-12-09_nrt.stac-item
2023-12-09 10:07:44	ga_s2am_ard_3-2-1_54HVB_2023-12-09_nrt.stac-item
2023-12-09 11:41:01	ga_s2am_ard_3-2-1_51LXF_2023-12-09_nrt.stac-item
2023-12-09 11:41:12	ga_s2am_ard_3-2-1_51LXE_2023-12-09_final.stac-item
2023-12-09 11:41:13	ga_s2am_ard_3-2-1_51LUF_2023-12-09_final.stac-item
2023-12-09 11:41:20	ga_s2am_ard_3-2-1_51LWE_2023-12-09_final.stac-item
2023-12-09 11:41:24	ga_s2am_ard_3-2-1_51LVE_2023-12-09_final.stac-item
2023-12-09 11:41:27	ga_s2am_ard_3-2-1_51LUE_2023-12-09_final.stac-item
2023-12-09 11:41:32	ga_s2am_ard_3-2-1_51LTE_2023-12-09_nrt.stac-item
2023-12-09 11:41:35	ga_s2am_ard_3-2-1_51LWD_2023-12-09_final.stac-item
2023-12-09 11:41:39	ga_s2am_ard_3-2-1_51LVD_2023-12-09_final.stac-item
2023-12-09 11:41:42	ga_s2am_ard_3-2-1_51LUD_2023-12-09_final.stac-item
2023-12-09 11:41:59	ga_s2am_ard_3-2-1_51LTC_2023-12-09_nrt.stac-item
2023-12-09 11:42:02	ga_s2am_ard_3-2-1_50LRH_2023-12-09_nrt.stac-item
2023-12-09 11:42:16	ga_s2am_ard_3-2-1_51KWA_2023-12-09_final.stac-item
2023-12-09 11:42:29	ga_s2am_ard_3-2-1_51KTA_2023-12-09_nrt.stac-item
2023-12-09 11:42:29	ga_s2am_ard_3-2-1_50KRF_2023-12-09_nrt.stac-item
2023-12-09 11:42:43	ga_s2am_ard_3-2-1_51KTV_2023-12-09_nrt.stac-item
2023-12-09 11:42:44	ga_s2am_ard_3-2-1_50KRE_2023-12-09_nrt.stac-item
2023-12-09 11:43:10	ga_s2am_ard_3-2-1_50KQC_2023-12-09_final.stac-item
2023-12-09 11:43:14	ga_s2am_ard_3-2-1_51KTT_2023-12-09_final.stac-item
2023-12-09 11:43:14	ga_s2am_ard_3-2-1_50KRC_2023-12-09_final.stac-item
2023-12-09 11:43:17	ga_s2am_ard_3-2-1_50KQC_2023-12-09_final.stac-item
2023-12-09 11:43:24	ga_s2am_ard_3-2-1_51KUS_2023-12-09_final.stac-item
2023-12-09 11:43:27	ga_s2am_ard_3-2-1_51KTS_2023-12-09_final.stac-item
2023-12-09 11:43:30	ga_s2am_ard_3-2-1_51KVR_2023-12-09_final.stac-item
2023-12-09 11:43:31	ga_s2am_ard_3-2-1_50KQB_2023-12-09_final.stac-item
2023-12-09 11:43:42	ga_s2am_ard_3-2-1_51KTR_2023-12-09_final.stac-item
2023-12-09 11:43:45	ga_s2am_ard_3-2-1_50KQA_2023-12-09_final.stac-item
2023-12-09 11:43:53	ga_s2am_ard_3-2-1_51KUQ_2023-12-09_final.stac-item
2023-12-09 11:43:56	ga_s2am_ard_3-2-1_51KTQ_2023-12-09_final.stac-item
2023-12-09 11:44:00	ga_s2am_ard_3-2-1_50KQV_2023-12-09_final.stac-item
2023-12-09 11:44:05	ga_s2am_ard_3-2-1_50KPV_2023-12-09_final.stac-item
2023-12-09 11:44:11	ga_s2am_ard_3-2-1_51KTP_2023-12-09_final.stac-item
2023-12-09 11:44:14	ga_s2am_ard_3-2-1_50KQU_2023-12-09_final.stac-item
2023-12-09 11:44:18	ga_s2am_ard_3-2-1_50KPU_2023-12-09_final.stac-item
2023-12-09 11:45:01	ga_s2am_ard_3-2-1_50JPR_2023-12-09_final.stac-item
2023-12-09 11:45:24	ga_s2am_ard_3-2-1_51JTJ_2023-12-09_final.stac-item
2023-12-09 11:45:27	ga_s2am_ard_3-2-1_50JQP_2023-12-09_final.stac-item
2023-12-09 11:45:30	ga_s2am_ard_3-2-1_50JPP_2023-12-09_final.stac-item
2023-12-09 11:45:38	ga_s2am_ard_3-2-1_51JTH_2023-12-09_final.stac-item
2023-12-09 11:45:41	ga_s2am_ard_3-2-1_50JQN_2023-12-09_final.stac-item
2023-12-09 11:45:48	ga_s2am_ard_3-2-1_50JNN_2023-12-09_final.stac-item
2023-12-09 11:46:14	ga_s2am_ard_3-2-1_50JPL_2023-12-09_final.stac-item
2023-12-09 11:46:32	ga_s2am_ard_3-2-1_50HNK_2023-12-09_final.stac-item
2023-12-09 11:46:35	ga_s2am_ard_3-2-1_50HMK_2023-12-09_final.stac-item
2023-12-09 11:46:48	ga_s2am_ard_3-2-1_50HQH_2023-12-09_final.stac-item
2023-12-09 11:47:23	ga_s2am_ard_3-2-1_50HPF_2023-12-09_nrt.stac-item
2023-12-09 11:47:24	ga_s2am_ard_3-2-1_50HNF_2023-12-09_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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