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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
2022-12-20 12:05:21	ga_s2am_ard_3-2-1_50JLQ_2022-12-20_final.stac-item
2022-12-20 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2022-12-20_final.stac-item
2022-12-20 12:05:28	ga_s2am_ard_3-2-1_49JGK_2022-12-20_final.stac-item
2022-12-20 12:05:31	ga_s2am_ard_3-2-1_49JFK_2022-12-20_nrt.stac-item
2022-12-20 12:05:50	ga_s2am_ard_3-2-1_50JLN_2022-12-20_final.stac-item
2022-12-20 12:06:00	ga_s2am_ard_3-2-1_49JFH_2022-12-20_nrt.stac-item
2022-12-20 12:06:13	ga_s2am_ard_3-2-1_50JLL_2022-12-20_final.stac-item
2022-12-20 12:06:24	ga_s2am_ard_3-2-1_49JFF_2022-12-20_nrt.stac-item
2022-12-21 09:49:53	ga_s2am_ard_3-2-1_56LLN_2022-12-21_nrt.stac-item
2022-12-21 09:50:02	ga_s2am_ard_3-2-1_56LLM_2022-12-21_nrt.stac-item
2022-12-21 09:51:02	ga_s2am_ard_3-2-1_56LLH_2022-12-21_nrt.stac-item
2022-12-21 09:51:09	ga_s2am_ard_3-2-1_56LKH_2022-12-21_final.stac-item
2022-12-21 09:51:10	ga_s2am_ard_3-2-1_55LHC_2022-12-21_final.stac-item
2022-12-21 09:51:14	ga_s2am_ard_3-2-1_55LGC_2022-12-21_final.stac-item
2022-12-21 09:51:39	ga_s2am_ard_3-2-1_55KHA_2022-12-21_final.stac-item
2022-12-21 09:51:43	ga_s2am_ard_3-2-1_55KGA_2022-12-21_final.stac-item
2022-12-21 09:51:53	ga_s2am_ard_3-2-1_55KHV_2022-12-21_nrt.stac-item
2022-12-21 09:52:06	ga_s2am_ard_3-2-1_56KKD_2022-12-21_nrt.stac-item
2022-12-21 09:52:12	ga_s2am_ard_3-2-1_55KGU_2022-12-21_final.stac-item
2022-12-21 09:52:18	ga_s2am_ard_3-2-1_56KKC_2022-12-21_final.stac-item
2022-12-21 09:52:26	ga_s2am_ard_3-2-1_55KGT_2022-12-21_final.stac-item
2022-12-21 09:52:33	ga_s2am_ard_3-2-1_55KET_2022-12-21_final.stac-item
2022-12-21 09:53:31	ga_s2am_ard_3-2-1_55KEP_2022-12-21_final.stac-item
2022-12-21 09:53:34	ga_s2am_ard_3-2-1_55KDP_2022-12-21_final.stac-item
2022-12-21 09:54:00	ga_s2am_ard_3-2-1_55JEM_2022-12-21_final.stac-item
2022-12-21 09:54:03	ga_s2am_ard_3-2-1_55JDM_2022-12-21_final.stac-item
2022-12-21 09:54:18	ga_s2am_ard_3-2-1_55JDL_2022-12-21_final.stac-item
2022-12-21 09:54:32	ga_s2am_ard_3-2-1_55JCK_2022-12-21_final.stac-item
2022-12-21 09:54:35	ga_s2am_ard_3-2-1_55JEJ_2022-12-21_final.stac-item
2022-12-21 09:54:39	ga_s2am_ard_3-2-1_55JCK_2022-12-21_final.stac-item
2022-12-21 09:54:43	ga_s2am_ard_3-2-1_55JEJ_2022-12-21_final.stac-item
2022-12-21 09:54:47	ga_s2am_ard_3-2-1_55JDJ_2022-12-21_final.stac-item
2022-12-21 09:55:05	ga_s2am_ard_3-2-1_55JCH_2022-12-21_final.stac-item
2022-12-21 09:55:31	ga_s2am_ard_3-2-1_55JDF_2022-12-21_final.stac-item
2022-12-21 09:55:37	ga_s2am_ard_3-2-1_55JBF_2022-12-21_final.stac-item
2022-12-21 09:55:41	ga_s2am_ard_3-2-1_55HEE_2022-12-21_final.stac-item
2022-12-21 09:55:52	ga_s2am_ard_3-2-1_55HBE_2022-12-21_final.stac-item
2022-12-21 09:55:52	ga_s2am_ard_3-2-1_55HED_2022-12-21_final.stac-item
2022-12-21 09:55:55	ga_s2am_ard_3-2-1_54HYK_2022-12-21_final.stac-item
2022-12-21 09:56:03	ga_s2am_ard_3-2-1_55HCD_2022-12-21_final.stac-item
2022-12-21 09:56:06	ga_s2am_ard_3-2-1_55HBD_2022-12-21_final.stac-item
2022-12-21 09:56:14	ga_s2am_ard_3-2-1_55HDC_2022-12-21_final.stac-item
2022-12-21 09:56:29	ga_s2am_ard_3-2-1_55HDB_2022-12-21_final.stac-item
2022-12-21 09:56:35	ga_s2am_ard_3-2-1_55HBB_2022-12-21_final.stac-item
2022-12-21 09:56:43	ga_s2am_ard_3-2-1_55HDA_2022-12-21_final.stac-item
2022-12-21 09:57:07	ga_s2am_ard_3-2-1_55HDU_2022-12-21_final.stac-item
2022-12-21 09:57:16	ga_s2am_ard_3-2-1_55HCU_2022-12-21_final.stac-item
2022-12-21 09:57:19	ga_s2am_ard_3-2-1_55HBU_2022-12-21_final.stac-item
2022-12-21 09:57:20	ga_s2am_ard_3-2-1_54HYD_2022-12-21_final.stac-item
2022-12-21 09:57:24	ga_s2am_ard_3-2-1_54HXD_2022-12-21_final.stac-item
2022-12-21 09:57:30	ga_s2am_ard_3-2-1_55HCT_2022-12-21_final.stac-item
2022-12-21 09:57:34	ga_s2am_ard_3-2-1_55HBT_2022-12-21_final.stac-item
2022-12-21 09:57:35	ga_s2am_ard_3-2-1_54HYC_2022-12-21_final.stac-item
2022-12-21 09:57:39	ga_s2am_ard_3-2-1_54HXC_2022-12-21_final.stac-item
2022-12-21 09:57:44	ga_s2am_ard_3-2-1_54HWC_2022-12-21_final.stac-item
2022-12-21 09:57:45	ga_s2am_ard_3-2-1_55HCS_2022-12-21_final.stac-item
2022-12-21 09:57:48	ga_s2am_ard_3-2-1_55HBS_2022-12-21_final.stac-item
2022-12-21 09:57:49	ga_s2am_ard_3-2-1_54HYB_2022-12-21_final.stac-item
2022-12-21 09:57:53	ga_s2am_ard_3-2-1_54HXB_2022-12-21_final.stac-item
2022-12-21 09:57:57	ga_s2am_ard_3-2-1_54HWB_2022-12-21_nrt.stac-item
2022-12-21 11:30:39	ga_s2am_ard_3-2-1_51LYH_2022-12-21_nrt.stac-item
2022-12-21 11:31:03	ga_s2am_ard_3-2-1_52LBL_2022-12-21_final.stac-item
2022-12-21 11:31:04	ga_s2am_ard_3-2-1_51LZF_2022-12-21_final.stac-item
2022-12-21 11:31:08	ga_s2am_ard_3-2-1_51LYF_2022-12-21_final.stac-item
2022-12-21 11:31:11	ga_s2am_ard_3-2-1_51LXF_2022-12-21_nrt.stac-item
2022-12-21 11:31:47	ga_s2am_ard_3-2-1_51LZC_2022-12-21_final.stac-item
2022-12-21 11:31:51	ga_s2am_ard_3-2-1_51LYC_2022-12-21_final.stac-item
2022-12-21 11:32:20	ga_s2am_ard_3-2-1_51KYA_2022-12-21_final.stac-item
2022-12-21 11:32:49	ga_s2am_ard_3-2-1_51KYU_2022-12-21_final.stac-item
2022-12-21 11:32:56	ga_s2am_ard_3-2-1_51KWU_2022-12-21_final.stac-item
2022-12-21 11:33:00	ga_s2am_ard_3-2-1_51KVU_2022-12-21_final.stac-item
2022-12-21 11:33:00	ga_s2am_ard_3-2-1_51KYT_2022-12-21_final.stac-item
2022-12-21 11:33:11	ga_s2am_ard_3-2-1_51KWT_2022-12-21_final.stac-item
2022-12-21 11:33:14	ga_s2am_ard_3-2-1_51KVT_2022-12-21_final.stac-item
2022-12-21 11:33:20	ga_s2am_ard_3-2-1_51KUT_2022-12-21_final.stac-item
2022-12-21 11:33:25	ga_s2am_ard_3-2-1_51KWS_2022-12-21_final.stac-item
2022-12-21 11:33:29	ga_s2am_ard_3-2-1_51KVS_2022-12-21_final.stac-item
2022-12-21 11:33:32	ga_s2am_ard_3-2-1_51KUS_2022-12-21_final.stac-item
2022-12-21 11:33:36	ga_s2am_ard_3-2-1_51KXR_2022-12-21_final.stac-item
2022-12-21 11:33:46	ga_s2am_ard_3-2-1_51KUR_2022-12-21_final.stac-item
2022-12-21 11:33:51	ga_s2am_ard_3-2-1_51KXQ_2022-12-21_final.stac-item
2022-12-21 11:34:09	ga_s2am_ard_3-2-1_51KWP_2022-12-21_final.stac-item
2022-12-21 11:34:12	ga_s2am_ard_3-2-1_51KVP_2022-12-21_final.stac-item
2022-12-21 11:34:38	ga_s2am_ard_3-2-1_51JWM_2022-12-21_final.stac-item
2022-12-21 11:34:41	ga_s2am_ard_3-2-1_51JVM_2022-12-21_final.stac-item
2022-12-21 11:34:52	ga_s2am_ard_3-2-1_51JWL_2022-12-21_final.stac-item
2022-12-21 11:34:56	ga_s2am_ard_3-2-1_51JVL_2022-12-21_final.stac-item
2022-12-21 11:35:14	ga_s2am_ard_3-2-1_51JUK_2022-12-21_final.stac-item
2022-12-21 11:35:25	ga_s2am_ard_3-2-1_51JVJ_2022-12-21_final.stac-item
2022-12-21 11:35:43	ga_s2am_ard_3-2-1_51JUH_2022-12-21_final.stac-item
2022-12-21 11:36:15	ga_s2am_ard_3-2-1_51JTF_2022-12-21_final.stac-item
2022-12-21 11:36:26	ga_s2am_ard_3-2-1_51HUE_2022-12-21_final.stac-item
2022-12-21 11:36:30	ga_s2am_ard_3-2-1_51HTE_2022-12-21_final.stac-item
2022-12-21 11:36:32	ga_s2am_ard_3-2-1_51HVD_2022-12-21_final.stac-item
2022-12-21 11:36:32	ga_s2am_ard_3-2-1_50HQK_2022-12-21_final.stac-item
2022-12-21 11:36:36	ga_s2am_ard_3-2-1_50HPK_2022-12-21_final.stac-item
2022-12-21 11:36:41	ga_s2am_ard_3-2-1_51HUD_2022-12-21_final.stac-item
2022-12-21 11:36:44	ga_s2am_ard_3-2-1_51HTD_2022-12-21_final.stac-item
2022-12-21 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2022-12-21_final.stac-item
2022-12-21 11:37:14	ga_s2am_ard_3-2-1_51HTB_2022-12-21_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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