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 09:51:34	ga_s2am_ard_3-2-1_56KKF_2023-01-20_final.stac-item
2023-01-20 09:51:35	ga_s2am_ard_3-2-1_55KHA_2023-01-20_nrt.stac-item
2023-01-20 09:51:39	ga_s2am_ard_3-2-1_55KGA_2023-01-20_final.stac-item
2023-01-20 09:51:48	ga_s2am_ard_3-2-1_55KEA_2023-01-20_final.stac-item
2023-01-20 09:51:57	ga_s2am_ard_3-2-1_55KFV_2023-01-20_final.stac-item
2023-01-20 09:52:00	ga_s2am_ard_3-2-1_55KEV_2023-01-20_final.stac-item
2023-01-20 09:52:29	ga_s2am_ard_3-2-1_55KET_2023-01-20_final.stac-item
2023-01-20 09:52:44	ga_s2am_ard_3-2-1_55KES_2023-01-20_final.stac-item
2023-01-20 09:52:50	ga_s2am_ard_3-2-1_55KDS_2023-01-20_final.stac-item
2023-01-20 09:53:41	ga_s2am_ard_3-2-1_55JDN_2023-01-20_final.stac-item
2023-01-20 09:54:11	ga_s2am_ard_3-2-1_55JEL_2023-01-20_final.stac-item
2023-01-20 09:54:14	ga_s2am_ard_3-2-1_55JDL_2023-01-20_final.stac-item
2023-01-20 09:54:35	ga_s2am_ard_3-2-1_55JFJ_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 09:54:47	ga_s2am_ard_3-2-1_55JCJ_2023-01-20_final.stac-item
2023-01-20 09:54:54	ga_s2am_ard_3-2-1_55JEH_2023-01-20_final.stac-item
2023-01-20 09:54:58	ga_s2am_ard_3-2-1_55JDH_2023-01-20_final.stac-item
2023-01-20 09:55:16	ga_s2am_ard_3-2-1_55JCG_2023-01-20_final.stac-item
2023-01-20 09:55:30	ga_s2am_ard_3-2-1_55JCF_2023-01-20_final.stac-item
2023-01-20 09:55:37	ga_s2am_ard_3-2-1_55HEE_2023-01-20_final.stac-item
2023-01-20 09:55:42	ga_s2am_ard_3-2-1_55HDE_2023-01-20_final.stac-item
2023-01-20 09:55:45	ga_s2am_ard_3-2-1_55HCE_2023-01-20_final.stac-item
2023-01-20 09:56:03	ga_s2am_ard_3-2-1_55HBD_2023-01-20_final.stac-item
2023-01-20 09:56:05	ga_s2am_ard_3-2-1_54HYJ_2023-01-20_final.stac-item
2023-01-20 09:56:43	ga_s2am_ard_3-2-1_55HCA_2023-01-20_final.stac-item
2023-01-20 09:56:47	ga_s2am_ard_3-2-1_55HBA_2023-01-20_final.stac-item
2023-01-20 09:56:48	ga_s2am_ard_3-2-1_54HYF_2023-01-20_final.stac-item
2023-01-20 09:56:52	ga_s2am_ard_3-2-1_54HXF_2023-01-20_final.stac-item
2023-01-20 09:57:45	ga_s2am_ard_3-2-1_55HBS_2023-01-20_final.stac-item
2023-01-20 09:57:45	ga_s2am_ard_3-2-1_54HYB_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 09:57:56	ga_s2am_ard_3-2-1_55GCR_2023-01-20_final.stac-item
2023-01-20 09:57:59	ga_s2am_ard_3-2-1_55GBR_2023-01-20_final.stac-item
2023-01-20 09:58:00	ga_s2am_ard_3-2-1_54GYA_2023-01-20_final.stac-item
2023-01-20 09:58:04	ga_s2am_ard_3-2-1_54GXA_2023-01-20_nrt.stac-item
2023-01-20 09:58:08	ga_s2am_ard_3-2-1_54GWA_2023-01-20_nrt.stac-item
2023-01-20 09:58:08	ga_s2am_ard_3-2-1_55GCQ_2023-01-20_final.stac-item
2023-01-20 09:58:14	ga_s2am_ard_3-2-1_55GBQ_2023-01-20_final.stac-item
2023-01-20 09:58:14	ga_s2am_ard_3-2-1_54GYV_2023-01-20_final.stac-item
2023-01-20 09:58:18	ga_s2am_ard_3-2-1_54GXV_2023-01-20_nrt.stac-item
2023-01-20 09:58:21	ga_s2am_ard_3-2-1_54GWV_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 11:31:13	ga_s2am_ard_3-2-1_52LBK_2023-01-20_final.stac-item
2023-01-20 11:31:15	ga_s2am_ard_3-2-1_51LZE_2023-01-20_final.stac-item
2023-01-20 11:31:30	ga_s2am_ard_3-2-1_51LZD_2023-01-20_final.stac-item
2023-01-20 11:31:51	ga_s2am_ard_3-2-1_51LXC_2023-01-20_final.stac-item
2023-01-20 11:31:55	ga_s2am_ard_3-2-1_51LWC_2023-01-20_final.stac-item
2023-01-20 11:32:09	ga_s2am_ard_3-2-1_51KWB_2023-01-20_final.stac-item
2023-01-20 11:32:14	ga_s2am_ard_3-2-1_51KVB_2023-01-20_final.stac-item
2023-01-20 11:32:17	ga_s2am_ard_3-2-1_51KYA_2023-01-20_final.stac-item
2023-01-20 11:32:24	ga_s2am_ard_3-2-1_51KWA_2023-01-20_final.stac-item
2023-01-20 11:32:27	ga_s2am_ard_3-2-1_51KVA_2023-01-20_final.stac-item
2023-01-20 11:32:31	ga_s2am_ard_3-2-1_51KYV_2023-01-20_final.stac-item
2023-01-20 11:34:32	ga_s2am_ard_3-2-1_50JRT_2023-01-20_final.stac-item
2023-01-20 11:34:44	ga_s2am_ard_3-2-1_50JRS_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 11:35:14	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 11:35:25	ga_s2am_ard_3-2-1_51JUJ_2023-01-20_final.stac-item
2023-01-20 11:35:32	ga_s2am_ard_3-2-1_50JQP_2023-01-20_final.stac-item
2023-01-20 11:35:54	ga_s2am_ard_3-2-1_51JUG_2023-01-20_final.stac-item
2023-01-20 11:36:09	ga_s2am_ard_3-2-1_51JUF_2023-01-20_final.stac-item
2023-01-20 11:36:18	ga_s2am_ard_3-2-1_51HVE_2023-01-20_final.stac-item
2023-01-20 11:36:23	ga_s2am_ard_3-2-1_51HUE_2023-01-20_final.stac-item
2023-01-20 11:36:41	ga_s2am_ard_3-2-1_51HTD_2023-01-20_final.stac-item
2023-01-20 11:36:43	ga_s2am_ard_3-2-1_50HQJ_2023-01-20_final.stac-item
2023-01-20 11:37:20	ga_s2am_ard_3-2-1_51HUA_2023-01-20_nrt.stac-item
2023-01-20 11:37:23	ga_s2am_ard_3-2-1_51HTA_2023-01-20_nrt.stac-item
2023-01-20 11:37:24	ga_s2am_ard_3-2-1_50HQF_2023-01-20_nrt.stac-item
2023-01-20 11:37:26	ga_s2am_ard_3-2-1_50HPF_2023-01-20_nrt.stac-item
2023-01-20 11:37:28	ga_s2am_ard_3-2-1_51HUV_2023-01-20_nrt.stac-item
2023-01-21 09:24:04	ga_s2am_ard_3-2-1_56JNR_2023-01-20_final.stac-item
2023-01-21 09:24:30	ga_s2am_ard_3-2-1_56JPP_2023-01-20_nrt.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 09:24:48	ga_s2am_ard_3-2-1_56JNN_2023-01-20_final.stac-item
2023-01-21 09:24:51	ga_s2am_ard_3-2-1_56JMN_2023-01-20_final.stac-item
2023-01-21 09:24:58	ga_s2am_ard_3-2-1_56JPM_2023-01-20_nrt.stac-item
2023-01-21 09:25:25	ga_s2am_ard_3-2-1_56JLL_2023-01-20_final.stac-item
2023-01-21 09:25:31	ga_s2am_ard_3-2-1_56HNK_2023-01-20_nrt.stac-item
2023-01-21 09:25:35	ga_s2am_ard_3-2-1_56HMK_2023-01-20_final.stac-item
2023-01-21 09:25:38	ga_s2am_ard_3-2-1_56HLK_2023-01-20_final.stac-item
2023-01-21 09:26:39	ga_s2am_ard_3-2-1_56HKF_2023-01-20_final.stac-item
2023-01-21 09:27:35	ga_s2am_ard_3-2-1_56HLB_2023-01-20_nrt.stac-item
2023-01-21 09:27:38	ga_s2am_ard_3-2-1_55HGS_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 09:27:46	ga_s2am_ard_3-2-1_56GMA_2023-01-20_nrt.stac-item
2023-01-21 09:27:49	ga_s2am_ard_3-2-1_56GLA_2023-01-20_nrt.stac-item
2023-01-21 09:27:52	ga_s2am_ard_3-2-1_56GKA_2023-01-20_nrt.stac-item
2023-01-21 09:27:53	ga_s2am_ard_3-2-1_55GGR_2023-01-20_nrt.stac-item
2023-01-21 09:27:56	ga_s2am_ard_3-2-1_55GFR_2023-01-20_final.stac-item
2023-01-21 09:28:00	ga_s2am_ard_3-2-1_56GMV_2023-01-20_nrt.stac-item
2023-01-21 09:28:04	ga_s2am_ard_3-2-1_56GLV_2023-01-20_nrt.stac-item
2023-01-21 09:28:07	ga_s2am_ard_3-2-1_56GKV_2023-01-20_nrt.stac-item
2023-01-21 09:28:07	ga_s2am_ard_3-2-1_55GGQ_2023-01-20_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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