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
2023-02-01 12:13:38	ga_s2am_ard_3-2-1_50KKB_2023-02-01_final.stac-item
2023-02-01 12:14:29	ga_s2am_ard_3-2-1_49JHN_2023-02-01_final.stac-item
2023-02-01 12:15:09	ga_s2am_ard_3-2-1_49JGL_2023-02-01_final.stac-item
2023-02-01 12:15:18	ga_s2am_ard_3-2-1_49JGK_2023-02-01_final.stac-item
2023-02-02 11:43:03	ga_s2am_ard_3-2-1_50KRD_2023-02-02_final.stac-item
2023-02-02 11:43:20	ga_s2am_ard_3-2-1_50KQC_2023-02-02_final.stac-item
2023-02-02 11:43:46	ga_s2am_ard_3-2-1_50KRA_2023-02-02_final.stac-item
2023-02-02 11:44:04	ga_s2am_ard_3-2-1_50KQV_2023-02-02_final.stac-item
2023-02-02 11:44:15	ga_s2am_ard_3-2-1_50KRU_2023-02-02_final.stac-item
2023-02-02 11:44:22	ga_s2am_ard_3-2-1_50KPU_2023-02-02_final.stac-item
2023-02-02 11:44:26	ga_s2am_ard_3-2-1_51JUN_2023-02-02_final.stac-item
2023-02-02 11:44:47	ga_s2am_ard_3-2-1_50JQS_2023-02-02_final.stac-item
2023-02-02 11:44:51	ga_s2am_ard_3-2-1_50JPS_2023-02-02_final.stac-item
2023-02-02 11:44:58	ga_s2am_ard_3-2-1_51JTL_2023-02-02_final.stac-item
2023-02-02 11:45:05	ga_s2am_ard_3-2-1_50JPR_2023-02-02_final.stac-item
2023-02-02 11:45:45	ga_s2am_ard_3-2-1_50JQN_2023-02-02_final.stac-item
2023-02-02 11:45:49	ga_s2am_ard_3-2-1_50JPN_2023-02-02_final.stac-item
2023-02-02 11:45:52	ga_s2am_ard_3-2-1_50JNN_2023-02-02_final.stac-item
2023-02-02 11:45:55	ga_s2am_ard_3-2-1_51JTG_2023-02-02_final.stac-item
2023-02-02 11:45:59	ga_s2am_ard_3-2-1_50JQM_2023-02-02_final.stac-item
2023-02-02 11:46:03	ga_s2am_ard_3-2-1_50JPM_2023-02-02_final.stac-item
2023-02-02 11:46:07	ga_s2am_ard_3-2-1_50JNM_2023-02-02_final.stac-item
2023-02-02 11:46:28	ga_s2am_ard_3-2-1_50HQK_2023-02-02_final.stac-item
2023-02-02 11:46:32	ga_s2am_ard_3-2-1_50HPK_2023-02-02_final.stac-item
2023-02-02 11:46:36	ga_s2am_ard_3-2-1_50HNK_2023-02-02_final.stac-item
2023-02-02 11:46:39	ga_s2am_ard_3-2-1_50HMK_2023-02-02_final.stac-item
2023-02-02 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2023-02-02_final.stac-item
2023-02-02 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-02-02_final.stac-item
2023-02-02 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2023-02-02_final.stac-item
2023-02-02 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-02-02_final.stac-item
2023-02-02 11:47:16	ga_s2am_ard_3-2-1_50HLH_2023-02-02_final.stac-item
2023-02-05 11:52:58	ga_s2am_ard_3-2-1_50KRD_2023-02-05_final.stac-item
2023-02-05 11:53:16	ga_s2am_ard_3-2-1_50KQC_2023-02-05_final.stac-item
2023-02-05 11:53:31	ga_s2am_ard_3-2-1_50KQB_2023-02-05_final.stac-item
2023-02-05 11:53:49	ga_s2am_ard_3-2-1_50KPA_2023-02-05_final.stac-item
2023-02-05 11:53:52	ga_s2am_ard_3-2-1_50KNA_2023-02-05_final.stac-item
2023-02-05 11:53:55	ga_s2am_ard_3-2-1_50KMA_2023-02-05_final.stac-item
2023-02-05 11:54:10	ga_s2am_ard_3-2-1_50KMV_2023-02-05_final.stac-item
2023-02-05 11:54:18	ga_s2am_ard_3-2-1_50KPU_2023-02-05_final.stac-item
2023-02-05 11:54:21	ga_s2am_ard_3-2-1_50KNU_2023-02-05_final.stac-item
2023-02-05 11:54:47	ga_s2am_ard_3-2-1_50JPS_2023-02-05_final.stac-item
2023-02-05 11:55:01	ga_s2am_ard_3-2-1_50JPR_2023-02-05_final.stac-item
2023-02-05 11:55:08	ga_s2am_ard_3-2-1_50JMR_2023-02-05_final.stac-item
2023-02-05 11:55:11	ga_s2am_ard_3-2-1_50JLR_2023-02-05_final.stac-item
2023-02-05 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2023-02-05_final.stac-item
2023-02-05 11:55:52	ga_s2am_ard_3-2-1_50JNN_2023-02-05_final.stac-item
2023-02-05 11:56:03	ga_s2am_ard_3-2-1_50JNM_2023-02-05_final.stac-item
2023-02-05 11:56:10	ga_s2am_ard_3-2-1_50JLM_2023-02-05_final.stac-item
2023-02-05 11:56:21	ga_s2am_ard_3-2-1_50JML_2023-02-05_final.stac-item
2023-02-05 11:56:29	ga_s2am_ard_3-2-1_50HNK_2023-02-05_final.stac-item
2023-02-05 11:56:35	ga_s2am_ard_3-2-1_50HMK_2023-02-05_final.stac-item
2023-02-05 11:56:39	ga_s2am_ard_3-2-1_50HLK_2023-02-05_final.stac-item
2023-02-05 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-02-05_final.stac-item
2023-02-05 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2023-02-05_final.stac-item
2023-02-05 11:57:08	ga_s2am_ard_3-2-1_50HLH_2023-02-05_final.stac-item
2023-02-06 11:24:58	ga_s2am_ard_3-2-1_51JWL_2023-02-06_final.stac-item
2023-02-06 11:25:12	ga_s2am_ard_3-2-1_51JWK_2023-02-06_final.stac-item
2023-02-06 11:26:04	ga_s2am_ard_3-2-1_51JUG_2023-02-06_final.stac-item
2023-02-06 11:26:10	ga_s2am_ard_3-2-1_51JWF_2023-02-06_final.stac-item
2023-02-06 11:26:13	ga_s2am_ard_3-2-1_51JVF_2023-02-06_final.stac-item
2023-02-06 11:26:17	ga_s2am_ard_3-2-1_51JUF_2023-02-06_final.stac-item
2023-02-06 11:26:25	ga_s2am_ard_3-2-1_51HWE_2023-02-06_final.stac-item
2023-02-06 11:26:28	ga_s2am_ard_3-2-1_51HVE_2023-02-06_final.stac-item
2023-02-06 11:26:31	ga_s2am_ard_3-2-1_51HUE_2023-02-06_final.stac-item
2023-02-06 11:26:35	ga_s2am_ard_3-2-1_51HXD_2023-02-06_final.stac-item
2023-02-06 11:26:39	ga_s2am_ard_3-2-1_51HWD_2023-02-06_final.stac-item
2023-02-06 11:26:43	ga_s2am_ard_3-2-1_51HVD_2023-02-06_final.stac-item
2023-02-06 11:26:46	ga_s2am_ard_3-2-1_51HUD_2023-02-06_final.stac-item
2023-02-06 11:27:01	ga_s2am_ard_3-2-1_51HUC_2023-02-06_final.stac-item
2023-02-06 11:27:06	ga_s2am_ard_3-2-1_51HTC_2023-02-06_final.stac-item
2023-02-08 12:03:36	ga_s2am_ard_3-2-1_50KMB_2023-02-08_final.stac-item
2023-02-08 12:03:43	ga_s2am_ard_3-2-1_50KNA_2023-02-08_final.stac-item
2023-02-08 12:03:51	ga_s2am_ard_3-2-1_50KMA_2023-02-08_final.stac-item
2023-02-08 12:03:55	ga_s2am_ard_3-2-1_50KLA_2023-02-08_final.stac-item
2023-02-08 12:04:05	ga_s2am_ard_3-2-1_50KMV_2023-02-08_final.stac-item
2023-02-08 12:04:27	ga_s2am_ard_3-2-1_49KHP_2023-02-08_final.stac-item
2023-02-08 12:04:56	ga_s2am_ard_3-2-1_49JHM_2023-02-08_final.stac-item
2023-02-08 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-02-08_final.stac-item
2023-02-08 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2023-02-08_final.stac-item
2023-02-08 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-02-08_final.stac-item
2023-02-08 12:05:40	ga_s2am_ard_3-2-1_50JKP_2023-02-08_final.stac-item
2023-02-08 12:06:03	ga_s2am_ard_3-2-1_50JLM_2023-02-08_final.stac-item
2023-02-08 12:06:13	ga_s2am_ard_3-2-1_50JLL_2023-02-08_final.stac-item
2023-02-28 12:00:34	ga_s2am_ard_3-2-1_50LPP_2023-02-28_nrt.stac-item
2023-02-28 12:00:37	ga_s2am_ard_3-2-1_50LNP_2023-02-28_nrt.stac-item
2023-02-28 12:00:49	ga_s2am_ard_3-2-1_50LPN_2023-02-28_nrt.stac-item
2023-02-28 12:01:00	ga_s2am_ard_3-2-1_50LQM_2023-02-28_nrt.stac-item
2023-02-28 12:01:03	ga_s2am_ard_3-2-1_50LPM_2023-02-28_nrt.stac-item
2023-02-28 12:01:13	ga_s2am_ard_3-2-1_50LQL_2023-02-28_nrt.stac-item
2023-02-28 12:01:24	ga_s2am_ard_3-2-1_50LQK_2023-02-28_nrt.stac-item
2023-02-28 12:01:32	ga_s2am_ard_3-2-1_50LPK_2023-02-28_nrt.stac-item
2023-02-28 12:01:39	ga_s2am_ard_3-2-1_50LPJ_2023-02-28_nrt.stac-item
2023-02-28 12:02:57	ga_s2am_ard_3-2-1_50KLE_2023-02-28_nrt.stac-item
2023-02-28 12:02:59	ga_s2am_ard_3-2-1_50KKE_2023-02-28_nrt.stac-item
2023-02-28 12:03:09	ga_s2am_ard_3-2-1_50KLD_2023-02-28_nrt.stac-item
2023-02-28 12:03:12	ga_s2am_ard_3-2-1_50KKD_2023-02-28_nrt.stac-item
2023-02-28 12:03:15	ga_s2am_ard_3-2-1_49KHU_2023-02-28_nrt.stac-item
2023-02-28 12:03:27	ga_s2am_ard_3-2-1_49KHT_2023-02-28_nrt.stac-item
2023-02-28 12:05:45	ga_s2am_ard_3-2-1_49JFJ_2023-02-28_nrt.stac-item
2023-02-28 12:05:59	ga_s2am_ard_3-2-1_49JFH_2023-02-28_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

Other products

All years