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
2023-03-10 12:04:28	ga_s2am_ard_3-2-1_49KHP_2023-03-10_final.stac-item
2023-03-10 12:04:28	ga_s2am_ard_3-2-1_50KKU_2023-03-10_final.stac-item
2023-03-10 12:04:30	ga_s2am_ard_3-2-1_49KGP_2023-03-10_final.stac-item
2023-03-10 12:04:37	ga_s2am_ard_3-2-1_49JHN_2023-03-10_final.stac-item
2023-03-10 12:04:54	ga_s2am_ard_3-2-1_50JMR_2023-03-10_final.stac-item
2023-03-10 12:05:03	ga_s2am_ard_3-2-1_50JLR_2023-03-10_final.stac-item
2023-03-10 12:05:07	ga_s2am_ard_3-2-1_50JKR_2023-03-10_final.stac-item
2023-03-10 12:05:14	ga_s2am_ard_3-2-1_49JFL_2023-03-10_final.stac-item
2023-03-10 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2023-03-10_final.stac-item
2023-03-10 12:05:42	ga_s2am_ard_3-2-1_49JFJ_2023-03-10_nrt.stac-item
2023-03-10 12:05:53	ga_s2am_ard_3-2-1_49JGH_2023-03-10_final.stac-item
2023-03-11 09:49:44	ga_s2am_ard_3-2-1_56LMN_2023-03-11_nrt.stac-item
2023-03-11 09:50:59	ga_s2am_ard_3-2-1_56LLH_2023-03-11_nrt.stac-item
2023-03-11 09:51:01	ga_s2am_ard_3-2-1_55LFD_2023-03-11_nrt.stac-item
2023-03-11 09:51:06	ga_s2am_ard_3-2-1_56LKH_2023-03-11_final.stac-item
2023-03-11 09:51:07	ga_s2am_ard_3-2-1_55LHC_2023-03-11_final.stac-item
2023-03-11 09:51:11	ga_s2am_ard_3-2-1_55LGC_2023-03-11_final.stac-item
2023-03-11 09:51:29	ga_s2am_ard_3-2-1_55KFB_2023-03-11_final.stac-item
2023-03-11 09:51:48	ga_s2am_ard_3-2-1_55KEA_2023-03-11_final.stac-item
2023-03-11 09:51:50	ga_s2am_ard_3-2-1_55KHV_2023-03-11_nrt.stac-item
2023-03-11 09:52:03	ga_s2am_ard_3-2-1_56KKD_2023-03-11_nrt.stac-item
2023-03-11 09:52:15	ga_s2am_ard_3-2-1_55KEU_2023-03-11_final.stac-item
2023-03-11 09:52:23	ga_s2am_ard_3-2-1_55KGT_2023-03-11_final.stac-item
2023-03-11 09:52:37	ga_s2am_ard_3-2-1_55KGS_2023-03-11_final.stac-item
2023-03-11 09:53:03	ga_s2am_ard_3-2-1_55KDR_2023-03-11_final.stac-item
2023-03-11 09:53:10	ga_s2am_ard_3-2-1_55KFQ_2023-03-11_final.stac-item
2023-03-11 09:53:17	ga_s2am_ard_3-2-1_55KFQ_2023-03-11_final.stac-item
2023-03-11 09:53:25	ga_s2am_ard_3-2-1_55KFP_2023-03-11_final.stac-item
2023-03-11 09:53:43	ga_s2am_ard_3-2-1_55JGM_2023-03-11_final.stac-item
2023-03-11 09:54:08	ga_s2am_ard_3-2-1_55JFL_2023-03-11_final.stac-item
2023-03-11 09:54:12	ga_s2am_ard_3-2-1_55JEL_2023-03-11_final.stac-item
2023-03-11 09:54:15	ga_s2am_ard_3-2-1_55JDL_2023-03-11_final.stac-item
2023-03-11 09:54:18	ga_s2am_ard_3-2-1_55JCL_2023-03-11_final.stac-item
2023-03-11 09:54:26	ga_s2am_ard_3-2-1_55JEK_2023-03-11_final.stac-item
2023-03-11 09:54:30	ga_s2am_ard_3-2-1_55JDK_2023-03-11_final.stac-item
2023-03-11 09:54:46	ga_s2am_ard_3-2-1_55JFH_2023-03-11_final.stac-item
2023-03-11 09:55:49	ga_s2am_ard_3-2-1_55HED_2023-03-11_final.stac-item
2023-03-11 09:55:57	ga_s2am_ard_3-2-1_55HDD_2023-03-11_final.stac-item
2023-03-11 09:56:00	ga_s2am_ard_3-2-1_55HCD_2023-03-11_final.stac-item
2023-03-11 09:56:33	ga_s2am_ard_3-2-1_55HBB_2023-03-11_final.stac-item
2023-03-11 09:56:34	ga_s2am_ard_3-2-1_54HYG_2023-03-11_final.stac-item
2023-03-11 09:57:16	ga_s2am_ard_3-2-1_55HBU_2023-03-11_final.stac-item
2023-03-11 09:57:17	ga_s2am_ard_3-2-1_54HYD_2023-03-11_final.stac-item
2023-03-11 09:57:21	ga_s2am_ard_3-2-1_54HXD_2023-03-11_final.stac-item
2023-03-11 09:57:46	ga_s2am_ard_3-2-1_54HYB_2023-03-11_final.stac-item
2023-03-11 09:57:50	ga_s2am_ard_3-2-1_54HXB_2023-03-11_final.stac-item
2023-03-11 09:57:54	ga_s2am_ard_3-2-1_54HWB_2023-03-11_nrt.stac-item
2023-03-11 09:57:56	ga_s2am_ard_3-2-1_55GCR_2023-03-11_final.stac-item
2023-03-11 09:58:00	ga_s2am_ard_3-2-1_55GBR_2023-03-11_final.stac-item
2023-03-11 09:58:01	ga_s2am_ard_3-2-1_54GYA_2023-03-11_final.stac-item
2023-03-11 09:58:05	ga_s2am_ard_3-2-1_54GXA_2023-03-11_nrt.stac-item
2023-03-11 09:58:08	ga_s2am_ard_3-2-1_54GWA_2023-03-11_nrt.stac-item
2023-03-11 09:58:09	ga_s2am_ard_3-2-1_55GCQ_2023-03-11_final.stac-item
2023-03-11 09:58:15	ga_s2am_ard_3-2-1_54GYV_2023-03-11_final.stac-item
2023-03-11 09:58:19	ga_s2am_ard_3-2-1_54GXV_2023-03-11_nrt.stac-item
2023-03-11 09:58:19	ga_s2am_ard_3-2-1_55GCP_2023-03-11_final.stac-item
2023-03-11 09:58:21	ga_s2am_ard_3-2-1_54GWV_2023-03-11_nrt.stac-item
2023-03-11 09:58:24	ga_s2am_ard_3-2-1_54GYU_2023-03-11_nrt.stac-item
2023-03-11 09:58:24	ga_s2am_ard_3-2-1_55GBP_2023-03-11_final.stac-item
2023-03-11 09:58:26	ga_s2am_ard_3-2-1_54GXU_2023-03-11_nrt.stac-item
2023-03-11 09:58:27	ga_s2am_ard_3-2-1_54GVV_2023-03-11_nrt.stac-item
2023-03-11 09:58:29	ga_s2am_ard_3-2-1_54GWU_2023-03-11_nrt.stac-item
2023-03-11 11:30:39	ga_s2am_ard_3-2-1_51LXH_2023-03-11_nrt.stac-item
2023-03-11 11:31:24	ga_s2am_ard_3-2-1_52LBJ_2023-03-11_final.stac-item
2023-03-11 11:31:30	ga_s2am_ard_3-2-1_51LZD_2023-03-11_final.stac-item
2023-03-11 11:31:34	ga_s2am_ard_3-2-1_51LYD_2023-03-11_final.stac-item
2023-03-11 11:31:41	ga_s2am_ard_3-2-1_51LWD_2023-03-11_final.stac-item
2023-03-11 11:31:44	ga_s2am_ard_3-2-1_51LZC_2023-03-11_final.stac-item
2023-03-11 11:31:48	ga_s2am_ard_3-2-1_51LYC_2023-03-11_final.stac-item
2023-03-11 11:32:07	ga_s2am_ard_3-2-1_51KXB_2023-03-11_final.stac-item
2023-03-11 11:32:10	ga_s2am_ard_3-2-1_51KWB_2023-03-11_final.stac-item
2023-03-11 11:32:15	ga_s2am_ard_3-2-1_51KVB_2023-03-11_final.stac-item
2023-03-11 11:32:24	ga_s2am_ard_3-2-1_51KWA_2023-03-11_final.stac-item
2023-03-11 11:32:28	ga_s2am_ard_3-2-1_51KVA_2023-03-11_final.stac-item
2023-03-11 11:32:46	ga_s2am_ard_3-2-1_51KYU_2023-03-11_final.stac-item
2023-03-11 11:32:57	ga_s2am_ard_3-2-1_51KVU_2023-03-11_final.stac-item
2023-03-11 11:33:37	ga_s2am_ard_3-2-1_51KWR_2023-03-11_final.stac-item
2023-03-11 11:33:40	ga_s2am_ard_3-2-1_51KVR_2023-03-11_final.stac-item
2023-03-11 11:33:48	ga_s2am_ard_3-2-1_51KXQ_2023-03-11_final.stac-item
2023-03-11 11:34:01	ga_s2am_ard_3-2-1_51KXP_2023-03-11_final.stac-item
2023-03-11 11:34:11	ga_s2am_ard_3-2-1_51JXN_2023-03-11_final.stac-item
2023-03-11 11:34:13	ga_s2am_ard_3-2-1_51KUP_2023-03-11_final.stac-item
2023-03-11 11:34:32	ga_s2am_ard_3-2-1_50JRT_2023-03-11_final.stac-item
2023-03-11 11:34:56	ga_s2am_ard_3-2-1_51JUL_2023-03-11_final.stac-item
2023-03-11 11:34:59	ga_s2am_ard_3-2-1_51JTL_2023-03-11_final.stac-item
2023-03-11 11:35:08	ga_s2am_ard_3-2-1_51JVK_2023-03-11_final.stac-item
2023-03-11 11:35:15	ga_s2am_ard_3-2-1_51JWJ_2023-03-11_final.stac-item
2023-03-11 11:35:26	ga_s2am_ard_3-2-1_51JUJ_2023-03-11_final.stac-item
2023-03-11 11:35:32	ga_s2am_ard_3-2-1_50JQP_2023-03-11_final.stac-item
2023-03-11 11:35:36	ga_s2am_ard_3-2-1_51JVH_2023-03-11_final.stac-item
2023-03-11 11:35:43	ga_s2am_ard_3-2-1_51JTH_2023-03-11_final.stac-item
2023-03-11 11:35:46	ga_s2am_ard_3-2-1_50JQN_2023-03-11_final.stac-item
2023-03-11 11:35:51	ga_s2am_ard_3-2-1_51JVG_2023-03-11_final.stac-item
2023-03-11 11:36:09	ga_s2am_ard_3-2-1_51JUF_2023-03-11_final.stac-item
2023-03-11 11:36:38	ga_s2am_ard_3-2-1_51HUD_2023-03-11_final.stac-item
2023-03-11 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2023-03-11_final.stac-item
2023-03-11 11:36:53	ga_s2am_ard_3-2-1_51HUC_2023-03-11_final.stac-item
2023-03-11 11:37:02	ga_s2am_ard_3-2-1_50HPH_2023-03-11_final.stac-item
2023-03-11 11:37:11	ga_s2am_ard_3-2-1_51HTB_2023-03-11_final.stac-item
2023-03-11 11:37:13	ga_s2am_ard_3-2-1_50HQG_2023-03-11_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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