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
2023-06-12 11:41:01	ga_s2am_ard_3-2-1_51LWG_2023-06-12_final.stac-item
2023-06-12 11:41:30	ga_s2am_ard_3-2-1_51LWE_2023-06-12_final.stac-item
2023-06-12 11:41:34	ga_s2am_ard_3-2-1_51LVE_2023-06-12_final.stac-item
2023-06-12 11:42:03	ga_s2am_ard_3-2-1_51LVC_2023-06-12_final.stac-item
2023-06-12 11:42:20	ga_s2am_ard_3-2-1_51KUB_2023-06-12_final.stac-item
2023-06-12 11:42:31	ga_s2am_ard_3-2-1_51KVA_2023-06-12_final.stac-item
2023-06-12 11:43:01	ga_s2am_ard_3-2-1_51KVU_2023-06-12_final.stac-item
2023-06-12 11:43:07	ga_s2am_ard_3-2-1_51KTU_2023-06-12_final.stac-item
2023-06-12 11:43:08	ga_s2am_ard_3-2-1_50KRD_2023-06-12_final.stac-item
2023-06-12 11:43:19	ga_s2am_ard_3-2-1_51KUT_2023-06-12_final.stac-item
2023-06-12 11:43:33	ga_s2am_ard_3-2-1_51KUS_2023-06-12_final.stac-item
2023-06-12 11:43:40	ga_s2am_ard_3-2-1_50KQB_2023-06-12_final.stac-item
2023-06-12 11:43:47	ga_s2am_ard_3-2-1_51KUR_2023-06-12_final.stac-item
2023-06-12 11:43:51	ga_s2am_ard_3-2-1_51KTR_2023-06-12_final.stac-item
2023-06-12 11:44:02	ga_s2am_ard_3-2-1_51KUQ_2023-06-12_final.stac-item
2023-06-12 11:44:20	ga_s2am_ard_3-2-1_50KRU_2023-06-12_final.stac-item
2023-06-12 11:44:38	ga_s2am_ard_3-2-1_50JQT_2023-06-12_final.stac-item
2023-06-12 11:44:58	ga_s2am_ard_3-2-1_50JPS_2023-06-12_final.stac-item
2023-06-12 11:45:11	ga_s2am_ard_3-2-1_50JPR_2023-06-12_final.stac-item
2023-06-12 11:46:12	ga_s2am_ard_3-2-1_50JNM_2023-06-12_final.stac-item
2023-06-12 11:46:27	ga_s2am_ard_3-2-1_50JNL_2023-06-12_final.stac-item
2023-06-12 11:47:10	ga_s2am_ard_3-2-1_50HNH_2023-06-12_final.stac-item
2023-06-12 11:47:14	ga_s2am_ard_3-2-1_50HMH_2023-06-12_final.stac-item
2023-06-12 11:47:21	ga_s2am_ard_3-2-1_50HPG_2023-06-12_final.stac-item
2023-06-12 11:47:25	ga_s2am_ard_3-2-1_50HNG_2023-06-12_final.stac-item
2023-06-13 11:10:24	ga_s2am_ard_3-2-1_52LGN_2023-06-13_final.stac-item
2023-06-13 11:10:36	ga_s2am_ard_3-2-1_52LFN_2023-06-13_final.stac-item
2023-06-13 11:11:23	ga_s2am_ard_3-2-1_52LEK_2023-06-13_final.stac-item
2023-06-13 11:11:41	ga_s2am_ard_3-2-1_52LDJ_2023-06-13_final.stac-item
2023-06-13 11:11:44	ga_s2am_ard_3-2-1_52LGH_2023-06-13_final.stac-item
2023-06-13 11:11:54	ga_s2am_ard_3-2-1_52KGG_2023-06-13_final.stac-item
2023-06-13 11:12:14	ga_s2am_ard_3-2-1_52KCG_2023-06-13_final.stac-item
2023-06-13 11:12:18	ga_s2am_ard_3-2-1_52KFF_2023-06-13_final.stac-item
2023-06-13 11:12:21	ga_s2am_ard_3-2-1_52KEF_2023-06-13_final.stac-item
2023-06-13 11:12:28	ga_s2am_ard_3-2-1_52KCF_2023-06-13_final.stac-item
2023-06-13 11:12:32	ga_s2am_ard_3-2-1_52KFE_2023-06-13_final.stac-item
2023-06-13 11:12:54	ga_s2am_ard_3-2-1_52KDD_2023-06-13_final.stac-item
2023-06-13 11:12:57	ga_s2am_ard_3-2-1_52KFC_2023-06-13_final.stac-item
2023-06-13 11:13:08	ga_s2am_ard_3-2-1_52KDC_2023-06-13_final.stac-item
2023-06-13 11:13:23	ga_s2am_ard_3-2-1_52KDB_2023-06-13_final.stac-item
2023-06-13 11:13:33	ga_s2am_ard_3-2-1_51KZS_2023-06-13_final.stac-item
2023-06-13 11:13:41	ga_s2am_ard_3-2-1_52KCA_2023-06-13_final.stac-item
2023-06-13 11:13:44	ga_s2am_ard_3-2-1_51KZR_2023-06-13_final.stac-item
2023-06-13 11:14:13	ga_s2am_ard_3-2-1_51KZP_2023-06-13_final.stac-item
2023-06-13 11:14:27	ga_s2am_ard_3-2-1_51JZN_2023-06-13_final.stac-item
2023-06-13 11:14:27	ga_s2am_ard_3-2-1_52JBT_2023-06-13_final.stac-item
2023-06-13 11:14:33	ga_s2am_ard_3-2-1_51JYN_2023-06-13_final.stac-item
2023-06-13 11:14:35	ga_s2am_ard_3-2-1_52JDS_2023-06-13_final.stac-item
2023-06-13 11:14:45	ga_s2am_ard_3-2-1_51JYM_2023-06-13_final.stac-item
2023-06-13 11:14:50	ga_s2am_ard_3-2-1_52JDR_2023-06-13_final.stac-item
2023-06-13 11:15:00	ga_s2am_ard_3-2-1_51JYL_2023-06-13_final.stac-item
2023-06-13 11:15:08	ga_s2am_ard_3-2-1_52JCQ_2023-06-13_final.stac-item
2023-06-13 11:15:11	ga_s2am_ard_3-2-1_52JBQ_2023-06-13_final.stac-item
2023-06-13 11:15:13	ga_s2am_ard_3-2-1_51JYK_2023-06-13_final.stac-item
2023-06-13 11:15:17	ga_s2am_ard_3-2-1_52JCP_2023-06-13_final.stac-item
2023-06-13 11:15:18	ga_s2am_ard_3-2-1_52JBQ_2023-06-13_final.stac-item
2023-06-13 11:15:19	ga_s2am_ard_3-2-1_52JBP_2023-06-13_final.stac-item
2023-06-13 11:15:19	ga_s2am_ard_3-2-1_51JYJ_2023-06-13_final.stac-item
2023-06-13 11:15:24	ga_s2am_ard_3-2-1_52JCP_2023-06-13_final.stac-item
2023-06-13 11:15:26	ga_s2am_ard_3-2-1_52JBP_2023-06-13_final.stac-item
2023-06-13 11:15:29	ga_s2am_ard_3-2-1_51JYJ_2023-06-13_final.stac-item
2023-06-13 11:15:33	ga_s2am_ard_3-2-1_51JXJ_2023-06-13_final.stac-item
2023-06-13 11:15:40	ga_s2am_ard_3-2-1_52JBN_2023-06-13_final.stac-item
2023-06-13 11:15:43	ga_s2am_ard_3-2-1_51JYH_2023-06-13_final.stac-item
2023-06-13 11:15:47	ga_s2am_ard_3-2-1_51JXH_2023-06-13_final.stac-item
2023-06-13 11:15:58	ga_s2am_ard_3-2-1_51JYG_2023-06-13_final.stac-item
2023-06-13 11:16:01	ga_s2am_ard_3-2-1_51JXG_2023-06-13_final.stac-item
2023-06-13 11:16:06	ga_s2am_ard_3-2-1_52JCL_2023-06-13_final.stac-item
2023-06-13 11:16:16	ga_s2am_ard_3-2-1_51JXF_2023-06-13_final.stac-item
2023-06-13 11:16:24	ga_s2am_ard_3-2-1_51JWF_2023-06-13_final.stac-item
2023-06-13 11:16:27	ga_s2am_ard_3-2-1_51HYE_2023-06-13_final.stac-item
2023-06-13 11:16:34	ga_s2am_ard_3-2-1_51HWE_2023-06-13_final.stac-item
2023-06-13 11:16:41	ga_s2am_ard_3-2-1_51HYD_2023-06-13_final.stac-item
2023-06-13 11:16:45	ga_s2am_ard_3-2-1_51HXD_2023-06-13_final.stac-item
2023-06-13 11:16:59	ga_s2am_ard_3-2-1_51HXC_2023-06-13_final.stac-item
2023-06-13 11:17:09	ga_s2am_ard_3-2-1_51HXB_2023-06-13_final.stac-item
2023-06-13 11:17:10	ga_s2am_ard_3-2-1_51HWB_2023-06-13_final.stac-item
2023-06-22 11:40:32	ga_s2am_ard_3-2-1_51LWJ_2023-06-22_nrt.stac-item
2023-06-22 11:40:35	ga_s2am_ard_3-2-1_51LVJ_2023-06-22_nrt.stac-item
2023-06-22 11:40:39	ga_s2am_ard_3-2-1_51LUJ_2023-06-22_nrt.stac-item
2023-06-22 11:40:46	ga_s2am_ard_3-2-1_51LWH_2023-06-22_nrt.stac-item
2023-06-22 11:40:50	ga_s2am_ard_3-2-1_51LVH_2023-06-22_nrt.stac-item
2023-06-22 11:40:52	ga_s2am_ard_3-2-1_51LUH_2023-06-22_nrt.stac-item
2023-06-22 11:41:07	ga_s2am_ard_3-2-1_51LUG_2023-06-22_nrt.stac-item
2023-06-22 11:41:15	ga_s2am_ard_3-2-1_51LWF_2023-06-22_nrt.stac-item
2023-06-22 11:41:21	ga_s2am_ard_3-2-1_51LXE_2023-06-22_nrt.stac-item
2023-06-22 11:41:41	ga_s2am_ard_3-2-1_51LTE_2023-06-22_nrt.stac-item
2023-06-22 11:41:44	ga_s2am_ard_3-2-1_51LWD_2023-06-22_nrt.stac-item
2023-06-22 11:41:48	ga_s2am_ard_3-2-1_51LVD_2023-06-22_nrt.stac-item
2023-06-22 11:41:54	ga_s2am_ard_3-2-1_51LTD_2023-06-22_nrt.stac-item
2023-06-22 11:42:08	ga_s2am_ard_3-2-1_51LTC_2023-06-22_nrt.stac-item
2023-06-22 11:42:11	ga_s2am_ard_3-2-1_50LRH_2023-06-22_nrt.stac-item
2023-06-22 11:42:23	ga_s2am_ard_3-2-1_51KTB_2023-06-22_nrt.stac-item
2023-06-22 11:42:24	ga_s2am_ard_3-2-1_50KRG_2023-06-22_nrt.stac-item
2023-06-22 11:42:38	ga_s2am_ard_3-2-1_51KTA_2023-06-22_nrt.stac-item
2023-06-22 11:42:39	ga_s2am_ard_3-2-1_50KRF_2023-06-22_nrt.stac-item
2023-06-22 11:42:52	ga_s2am_ard_3-2-1_51KTV_2023-06-22_nrt.stac-item
2023-06-22 11:42:53	ga_s2am_ard_3-2-1_50KRE_2023-06-22_nrt.stac-item
2023-06-22 11:47:32	ga_s2am_ard_3-2-1_50HPF_2023-06-22_nrt.stac-item
2023-06-22 11:47:33	ga_s2am_ard_3-2-1_50HNF_2023-06-22_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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