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
2023-04-19 10:19:37	ga_s2am_ard_3-2-1_54LZQ_2023-04-19_final.stac-item
2023-04-19 10:19:40	ga_s2am_ard_3-2-1_54LYQ_2023-04-19_final.stac-item
2023-04-19 10:19:51	ga_s2am_ard_3-2-1_54LZP_2023-04-19_final.stac-item
2023-04-19 10:20:09	ga_s2am_ard_3-2-1_54LYN_2023-04-19_final.stac-item
2023-04-19 10:20:12	ga_s2am_ard_3-2-1_54LXN_2023-04-19_final.stac-item
2023-04-19 10:20:27	ga_s2am_ard_3-2-1_54LXM_2023-04-19_final.stac-item
2023-04-19 10:20:34	ga_s2am_ard_3-2-1_54LZL_2023-04-19_final.stac-item
2023-04-19 10:20:48	ga_s2am_ard_3-2-1_54LZK_2023-04-19_final.stac-item
2023-04-19 10:21:07	ga_s2am_ard_3-2-1_54LYJ_2023-04-19_final.stac-item
2023-04-19 10:21:14	ga_s2am_ard_3-2-1_54LWJ_2023-04-19_final.stac-item
2023-04-19 10:21:21	ga_s2am_ard_3-2-1_54LYH_2023-04-19_final.stac-item
2023-04-19 10:21:25	ga_s2am_ard_3-2-1_54LXH_2023-04-19_final.stac-item
2023-04-19 10:21:28	ga_s2am_ard_3-2-1_54LWH_2023-04-19_final.stac-item
2023-04-19 10:21:36	ga_s2am_ard_3-2-1_54KYG_2023-04-19_final.stac-item
2023-04-19 10:21:54	ga_s2am_ard_3-2-1_54KWF_2023-04-19_final.stac-item
2023-04-19 10:22:08	ga_s2am_ard_3-2-1_54KXE_2023-04-19_final.stac-item
2023-04-19 10:22:12	ga_s2am_ard_3-2-1_54KWE_2023-04-19_final.stac-item
2023-04-19 10:22:15	ga_s2am_ard_3-2-1_54KVE_2023-04-19_final.stac-item
2023-04-19 10:22:23	ga_s2am_ard_3-2-1_54KXD_2023-04-19_final.stac-item
2023-04-19 10:22:26	ga_s2am_ard_3-2-1_54KWD_2023-04-19_final.stac-item
2023-04-19 10:22:47	ga_s2am_ard_3-2-1_54KUC_2023-04-19_final.stac-item
2023-04-19 10:22:59	ga_s2am_ard_3-2-1_54KVB_2023-04-19_final.stac-item
2023-04-19 10:23:05	ga_s2am_ard_3-2-1_54KXA_2023-04-19_final.stac-item
2023-04-19 10:23:10	ga_s2am_ard_3-2-1_54KWA_2023-04-19_final.stac-item
2023-04-19 10:23:13	ga_s2am_ard_3-2-1_54KVA_2023-04-19_final.stac-item
2023-04-19 10:23:24	ga_s2am_ard_3-2-1_54KWV_2023-04-19_final.stac-item
2023-04-19 10:23:31	ga_s2am_ard_3-2-1_54KUV_2023-04-19_final.stac-item
2023-04-19 10:23:35	ga_s2am_ard_3-2-1_54KTV_2023-04-19_final.stac-item
2023-04-19 10:23:38	ga_s2am_ard_3-2-1_54KUV_2023-04-19_final.stac-item
2023-04-19 10:24:07	ga_s2am_ard_3-2-1_54JWS_2023-04-19_final.stac-item
2023-04-19 10:24:18	ga_s2am_ard_3-2-1_54JTS_2023-04-19_final.stac-item
2023-04-19 10:24:20	ga_s2am_ard_3-2-1_54JWR_2023-04-19_final.stac-item
2023-04-19 10:24:26	ga_s2am_ard_3-2-1_54JVR_2023-04-19_final.stac-item
2023-04-19 10:24:32	ga_s2am_ard_3-2-1_54JTR_2023-04-19_final.stac-item
2023-04-19 10:24:40	ga_s2am_ard_3-2-1_54JVQ_2023-04-19_final.stac-item
2023-04-19 10:25:04	ga_s2am_ard_3-2-1_53JQJ_2023-04-19_final.stac-item
2023-04-19 10:25:13	ga_s2am_ard_3-2-1_54JUN_2023-04-19_final.stac-item
2023-04-19 10:25:16	ga_s2am_ard_3-2-1_54JTN_2023-04-19_final.stac-item
2023-04-19 10:25:19	ga_s2am_ard_3-2-1_53JQH_2023-04-19_final.stac-item
2023-04-19 10:25:23	ga_s2am_ard_3-2-1_54JVM_2023-04-19_final.stac-item
2023-04-19 10:25:27	ga_s2am_ard_3-2-1_54JUM_2023-04-19_final.stac-item
2023-04-19 10:25:31	ga_s2am_ard_3-2-1_54JTM_2023-04-19_final.stac-item
2023-04-19 10:25:34	ga_s2am_ard_3-2-1_54JVL_2023-04-19_final.stac-item
2023-04-19 10:25:45	ga_s2am_ard_3-2-1_54JTL_2023-04-19_final.stac-item
2023-04-19 10:26:02	ga_s2am_ard_3-2-1_53HQE_2023-04-19_final.stac-item
2023-04-19 10:26:06	ga_s2am_ard_3-2-1_53HPE_2023-04-19_final.stac-item
2023-04-19 10:26:11	ga_s2am_ard_3-2-1_54HUJ_2023-04-19_final.stac-item
2023-04-19 10:26:17	ga_s2am_ard_3-2-1_53HQD_2023-04-19_final.stac-item
2023-04-19 10:26:26	ga_s2am_ard_3-2-1_54HUH_2023-04-19_final.stac-item
2023-04-19 10:26:29	ga_s2am_ard_3-2-1_54HTH_2023-04-19_final.stac-item
2023-04-19 10:26:31	ga_s2am_ard_3-2-1_53HQC_2023-04-19_final.stac-item
2023-04-19 10:26:44	ga_s2am_ard_3-2-1_54HTG_2023-04-19_final.stac-item
2023-04-19 10:26:49	ga_s2am_ard_3-2-1_53HPB_2023-04-19_final.stac-item
2023-04-19 10:27:04	ga_s2am_ard_3-2-1_53HPA_2023-04-19_final.stac-item
2023-04-19 10:27:13	ga_s2am_ard_3-2-1_53HPV_2023-04-19_final.stac-item
2023-04-19 12:03:19	ga_s2am_ard_3-2-1_50KNC_2023-04-19_final.stac-item
2023-04-19 12:03:22	ga_s2am_ard_3-2-1_50KMC_2023-04-19_final.stac-item
2023-04-19 12:03:32	ga_s2am_ard_3-2-1_50KNB_2023-04-19_final.stac-item
2023-04-19 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-04-19_final.stac-item
2023-04-19 12:03:58	ga_s2am_ard_3-2-1_50KKA_2023-04-19_final.stac-item
2023-04-19 12:04:09	ga_s2am_ard_3-2-1_50KLV_2023-04-19_final.stac-item
2023-04-19 12:04:12	ga_s2am_ard_3-2-1_50KKV_2023-04-19_final.stac-item
2023-04-19 12:04:20	ga_s2am_ard_3-2-1_50KMU_2023-04-19_final.stac-item
2023-04-19 12:04:24	ga_s2am_ard_3-2-1_50KLU_2023-04-19_final.stac-item
2023-04-19 12:04:27	ga_s2am_ard_3-2-1_49KHP_2023-04-19_final.stac-item
2023-04-19 12:04:27	ga_s2am_ard_3-2-1_50KKU_2023-04-19_final.stac-item
2023-04-19 12:04:30	ga_s2am_ard_3-2-1_49KGP_2023-04-19_final.stac-item
2023-04-19 12:04:38	ga_s2am_ard_3-2-1_50JLT_2023-04-19_final.stac-item
2023-04-19 12:04:41	ga_s2am_ard_3-2-1_50JKT_2023-04-19_final.stac-item
2023-04-19 12:04:45	ga_s2am_ard_3-2-1_49JGN_2023-04-19_final.stac-item
2023-04-19 12:04:52	ga_s2am_ard_3-2-1_50JLS_2023-04-19_final.stac-item
2023-04-19 12:04:56	ga_s2am_ard_3-2-1_49JHM_2023-04-19_final.stac-item
2023-04-19 12:04:56	ga_s2am_ard_3-2-1_50JKS_2023-04-19_final.stac-item
2023-04-19 12:04:59	ga_s2am_ard_3-2-1_49JGM_2023-04-19_final.stac-item
2023-04-19 12:05:07	ga_s2am_ard_3-2-1_49JFM_2023-04-19_final.stac-item
2023-04-19 12:05:11	ga_s2am_ard_3-2-1_50JKR_2023-04-19_final.stac-item
2023-04-19 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-04-19_final.stac-item
2023-04-19 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-04-19_final.stac-item
2023-04-19 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2023-04-19_final.stac-item
2023-04-19 12:05:50	ga_s2am_ard_3-2-1_50JLN_2023-04-19_final.stac-item
2023-04-19 12:05:54	ga_s2am_ard_3-2-1_50JKN_2023-04-19_final.stac-item
2023-04-19 12:05:57	ga_s2am_ard_3-2-1_49JGH_2023-04-19_final.stac-item
2023-04-19 12:06:09	ga_s2am_ard_3-2-1_50JKM_2023-04-19_final.stac-item
2023-04-30 09:51:04	ga_s2am_ard_3-2-1_55LGD_2023-04-30_nrt.stac-item
2023-04-30 09:58:13	ga_s2am_ard_3-2-1_54GWA_2023-04-30_nrt.stac-item
2023-04-30 11:30:36	ga_s2am_ard_3-2-1_52LBN_2023-04-30_nrt.stac-item
2023-04-30 11:30:56	ga_s2am_ard_3-2-1_51LYG_2023-04-30_nrt.stac-item
2023-04-30 11:31:10	ga_s2am_ard_3-2-1_51LXF_2023-04-30_nrt.stac-item
2023-04-30 11:31:17	ga_s2am_ard_3-2-1_51LXF_2023-04-30_nrt.stac-item
2023-04-30 11:37:28	ga_s2am_ard_3-2-1_50HQF_2023-04-30_nrt.stac-item
2023-04-30 11:37:30	ga_s2am_ard_3-2-1_50HPF_2023-04-30_nrt.stac-item
2023-05-01 09:26:41	ga_s2am_ard_3-2-1_56HLF_2023-04-30_nrt.stac-item
2023-05-01 09:27:54	ga_s2am_ard_3-2-1_56GLA_2023-04-30_nrt.stac-item
2023-05-01 09:28:12	ga_s2am_ard_3-2-1_56GKV_2023-04-30_nrt.stac-item
2023-05-01 09:28:18	ga_s2am_ard_3-2-1_56GMU_2023-04-30_nrt.stac-item
2023-05-01 09:28:23	ga_s2am_ard_3-2-1_56GLU_2023-04-30_nrt.stac-item
2023-05-01 09:28:27	ga_s2am_ard_3-2-1_56GKU_2023-04-30_nrt.stac-item
2023-05-01 09:28:28	ga_s2am_ard_3-2-1_56GMT_2023-04-30_nrt.stac-item
2023-05-01 09:28:52	ga_s2am_ard_3-2-1_56GLS_2023-04-30_nrt.stac-item
2023-05-01 09:28:55	ga_s2am_ard_3-2-1_55GGM_2023-04-30_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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