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
2023-03-22 11:00:56	ga_s2am_ard_3-2-1_53LKF_2023-03-22_final.stac-item
2023-03-22 11:00:58	ga_s2am_ard_3-2-1_52LHL_2023-03-22_final.stac-item
2023-03-22 11:01:01	ga_s2am_ard_3-2-1_52LGL_2023-03-22_final.stac-item
2023-03-22 11:01:11	ga_s2am_ard_3-2-1_53LKE_2023-03-22_final.stac-item
2023-03-22 11:01:12	ga_s2am_ard_3-2-1_52LHK_2023-03-22_final.stac-item
2023-03-22 11:01:16	ga_s2am_ard_3-2-1_52LGK_2023-03-22_final.stac-item
2023-03-22 11:01:25	ga_s2am_ard_3-2-1_53LKD_2023-03-22_final.stac-item
2023-03-22 11:01:37	ga_s2am_ard_3-2-1_53LLC_2023-03-22_final.stac-item
2023-03-22 11:01:40	ga_s2am_ard_3-2-1_53LKC_2023-03-22_final.stac-item
2023-03-22 11:01:41	ga_s2am_ard_3-2-1_52LHH_2023-03-22_final.stac-item
2023-03-22 11:01:45	ga_s2am_ard_3-2-1_52LGH_2023-03-22_final.stac-item
2023-03-22 11:01:49	ga_s2am_ard_3-2-1_52LFH_2023-03-22_final.stac-item
2023-03-22 11:01:50	ga_s2am_ard_3-2-1_53KLB_2023-03-22_final.stac-item
2023-03-22 11:02:02	ga_s2am_ard_3-2-1_53KLA_2023-03-22_final.stac-item
2023-03-22 11:02:02	ga_s2am_ard_3-2-1_52KFG_2023-03-22_final.stac-item
2023-03-22 11:02:17	ga_s2am_ard_3-2-1_52KFF_2023-03-22_final.stac-item
2023-03-22 11:02:24	ga_s2am_ard_3-2-1_52KHE_2023-03-22_final.stac-item
2023-03-22 11:02:32	ga_s2am_ard_3-2-1_52KFE_2023-03-22_final.stac-item
2023-03-22 11:02:37	ga_s2am_ard_3-2-1_53KKU_2023-03-22_final.stac-item
2023-03-22 11:02:44	ga_s2am_ard_3-2-1_52KED_2023-03-22_final.stac-item
2023-03-22 11:02:44	ga_s2am_ard_3-2-1_52KHC_2023-03-22_final.stac-item
2023-03-22 11:02:45	ga_s2am_ard_3-2-1_52KHD_2023-03-22_final.stac-item
2023-03-22 11:02:48	ga_s2am_ard_3-2-1_52KFD_2023-03-22_final.stac-item
2023-03-22 11:02:51	ga_s2am_ard_3-2-1_52KED_2023-03-22_final.stac-item
2023-03-22 11:02:53	ga_s2am_ard_3-2-1_53KKT_2023-03-22_final.stac-item
2023-03-22 11:02:57	ga_s2am_ard_3-2-1_52KGC_2023-03-22_final.stac-item
2023-03-22 11:03:04	ga_s2am_ard_3-2-1_52KEC_2023-03-22_final.stac-item
2023-03-22 11:03:06	ga_s2am_ard_3-2-1_53KKS_2023-03-22_final.stac-item
2023-03-22 11:03:12	ga_s2am_ard_3-2-1_52KGB_2023-03-22_final.stac-item
2023-03-22 11:03:31	ga_s2am_ard_3-2-1_52KHV_2023-03-22_final.stac-item
2023-03-22 11:04:02	ga_s2am_ard_3-2-1_52KEU_2023-03-22_final.stac-item
2023-03-22 11:04:05	ga_s2am_ard_3-2-1_52KDU_2023-03-22_final.stac-item
2023-03-22 11:04:23	ga_s2am_ard_3-2-1_52JGS_2023-03-22_final.stac-item
2023-03-22 11:04:34	ga_s2am_ard_3-2-1_52JGR_2023-03-22_final.stac-item
2023-03-22 11:04:54	ga_s2am_ard_3-2-1_52JCR_2023-03-22_final.stac-item
2023-03-22 11:05:58	ga_s2am_ard_3-2-1_52JEL_2023-03-22_final.stac-item
2023-03-22 11:06:02	ga_s2am_ard_3-2-1_52JDL_2023-03-22_final.stac-item
2023-03-22 11:06:05	ga_s2am_ard_3-2-1_52JCL_2023-03-22_final.stac-item
2023-03-22 11:06:08	ga_s2am_ard_3-2-1_52JBL_2023-03-22_final.stac-item
2023-03-22 11:06:22	ga_s2am_ard_3-2-1_52HBK_2023-03-22_final.stac-item
2023-03-22 11:06:27	ga_s2am_ard_3-2-1_52HEJ_2023-03-22_nrt.stac-item
2023-03-22 11:06:30	ga_s2am_ard_3-2-1_52HDJ_2023-03-22_nrt.stac-item
2023-03-22 11:06:33	ga_s2am_ard_3-2-1_52HBJ_2023-03-22_final.stac-item
2023-03-23 10:29:38	ga_s2am_ard_3-2-1_54LXQ_2023-03-23_final.stac-item
2023-03-23 10:29:41	ga_s2am_ard_3-2-1_54LWQ_2023-03-23_final.stac-item
2023-03-23 10:29:56	ga_s2am_ard_3-2-1_54LWP_2023-03-23_final.stac-item
2023-03-23 10:29:59	ga_s2am_ard_3-2-1_54LVP_2023-03-23_nrt.stac-item
2023-03-23 10:30:02	ga_s2am_ard_3-2-1_54LUP_2023-03-23_nrt.stac-item
2023-03-23 10:30:06	ga_s2am_ard_3-2-1_54LXN_2023-03-23_final.stac-item
2023-03-23 10:30:10	ga_s2am_ard_3-2-1_54LWN_2023-03-23_final.stac-item
2023-03-23 10:30:14	ga_s2am_ard_3-2-1_54LVN_2023-03-23_nrt.stac-item
2023-03-23 10:30:17	ga_s2am_ard_3-2-1_54LUN_2023-03-23_nrt.stac-item
2023-03-23 10:30:46	ga_s2am_ard_3-2-1_54LUL_2023-03-23_nrt.stac-item
2023-03-23 10:30:49	ga_s2am_ard_3-2-1_54LTL_2023-03-23_nrt.stac-item
2023-03-23 10:31:03	ga_s2am_ard_3-2-1_54LTK_2023-03-23_nrt.stac-item
2023-03-23 10:31:07	ga_s2am_ard_3-2-1_54LWJ_2023-03-23_final.stac-item
2023-03-23 10:31:13	ga_s2am_ard_3-2-1_54LTJ_2023-03-23_nrt.stac-item
2023-03-23 10:31:21	ga_s2am_ard_3-2-1_54LWH_2023-03-23_final.stac-item
2023-03-23 10:31:26	ga_s2am_ard_3-2-1_54LVH_2023-03-23_final.stac-item
2023-03-23 10:31:30	ga_s2am_ard_3-2-1_54LUH_2023-03-23_final.stac-item
2023-03-23 10:31:30	ga_s2am_ard_3-2-1_54KWG_2023-03-23_final.stac-item
2023-03-23 10:31:33	ga_s2am_ard_3-2-1_54LTH_2023-03-23_nrt.stac-item
2023-03-23 10:31:34	ga_s2am_ard_3-2-1_53LRC_2023-03-23_nrt.stac-item
2023-03-23 10:31:41	ga_s2am_ard_3-2-1_54KVG_2023-03-23_final.stac-item
2023-03-23 10:31:44	ga_s2am_ard_3-2-1_54KUG_2023-03-23_final.stac-item
2023-03-23 10:31:55	ga_s2am_ard_3-2-1_54KVF_2023-03-23_final.stac-item
2023-03-23 10:31:59	ga_s2am_ard_3-2-1_54KUF_2023-03-23_final.stac-item
2023-03-23 10:32:10	ga_s2am_ard_3-2-1_54KVE_2023-03-23_final.stac-item
2023-03-23 10:32:13	ga_s2am_ard_3-2-1_54KUE_2023-03-23_final.stac-item
2023-03-23 10:32:17	ga_s2am_ard_3-2-1_53KRV_2023-03-23_final.stac-item
2023-03-23 10:32:24	ga_s2am_ard_3-2-1_54KVD_2023-03-23_final.stac-item
2023-03-23 10:32:31	ga_s2am_ard_3-2-1_54KTD_2023-03-23_final.stac-item
2023-03-23 10:32:35	ga_s2am_ard_3-2-1_53KQU_2023-03-23_final.stac-item
2023-03-23 10:32:35	ga_s2am_ard_3-2-1_54KVC_2023-03-23_final.stac-item
2023-03-23 10:32:40	ga_s2am_ard_3-2-1_54KUC_2023-03-23_final.stac-item
2023-03-23 10:32:42	ga_s2am_ard_3-2-1_54KVC_2023-03-23_final.stac-item
2023-03-23 10:32:47	ga_s2am_ard_3-2-1_54KUC_2023-03-23_final.stac-item
2023-03-23 10:32:48	ga_s2am_ard_3-2-1_54KTC_2023-03-23_final.stac-item
2023-03-23 10:32:49	ga_s2am_ard_3-2-1_53KRT_2023-03-23_final.stac-item
2023-03-23 10:32:51	ga_s2am_ard_3-2-1_53KQT_2023-03-23_final.stac-item
2023-03-23 10:33:00	ga_s2am_ard_3-2-1_54KTB_2023-03-23_final.stac-item
2023-03-23 10:33:04	ga_s2am_ard_3-2-1_53KQS_2023-03-23_final.stac-item
2023-03-23 10:33:30	ga_s2am_ard_3-2-1_54KTV_2023-03-23_final.stac-item
2023-03-23 10:33:58	ga_s2am_ard_3-2-1_53JRN_2023-03-23_final.stac-item
2023-03-23 10:34:28	ga_s2am_ard_3-2-1_54JTR_2023-03-23_final.stac-item
2023-03-23 10:34:31	ga_s2am_ard_3-2-1_53JQL_2023-03-23_final.stac-item
2023-03-23 10:34:38	ga_s2am_ard_3-2-1_53JNL_2023-03-23_final.stac-item
2023-03-23 10:35:00	ga_s2am_ard_3-2-1_53JQJ_2023-03-23_final.stac-item
2023-03-23 10:35:07	ga_s2am_ard_3-2-1_53JNJ_2023-03-23_final.stac-item
2023-03-23 10:35:13	ga_s2am_ard_3-2-1_53JMJ_2023-03-23_final.stac-item
2023-03-23 10:35:51	ga_s2am_ard_3-2-1_53JNF_2023-03-23_final.stac-item
2023-03-23 10:35:54	ga_s2am_ard_3-2-1_53JMF_2023-03-23_final.stac-item
2023-03-23 10:35:55	ga_s2am_ard_3-2-1_53HQE_2023-03-23_final.stac-item
2023-03-23 10:36:01	ga_s2am_ard_3-2-1_53HPE_2023-03-23_final.stac-item
2023-03-23 10:36:20	ga_s2am_ard_3-2-1_53HND_2023-03-23_final.stac-item
2023-03-23 10:36:23	ga_s2am_ard_3-2-1_53HMD_2023-03-23_final.stac-item
2023-03-23 10:36:27	ga_s2am_ard_3-2-1_53HLD_2023-03-23_final.stac-item
2023-03-23 10:36:34	ga_s2am_ard_3-2-1_53HNC_2023-03-23_final.stac-item
2023-03-23 10:36:38	ga_s2am_ard_3-2-1_53HMC_2023-03-23_final.stac-item
2023-03-23 10:37:02	ga_s2am_ard_3-2-1_53HNA_2023-03-23_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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