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
2023-03-22 11:03:21	ga_s2am_ard_3-2-1_52KHA_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 11:03:33	ga_s2am_ard_3-2-1_52KEA_2023-03-22_final.stac-item
2023-03-22 11:03:40	ga_s2am_ard_3-2-1_52KGV_2023-03-22_final.stac-item
2023-03-22 11:03:44	ga_s2am_ard_3-2-1_52KFV_2023-03-22_final.stac-item
2023-03-22 11:03:55	ga_s2am_ard_3-2-1_52KGU_2023-03-22_final.stac-item
2023-03-22 11:03:58	ga_s2am_ard_3-2-1_52KFU_2023-03-22_final.stac-item
2023-03-22 11:04:09	ga_s2am_ard_3-2-1_52JGT_2023-03-22_final.stac-item
2023-03-22 11:04:13	ga_s2am_ard_3-2-1_52JFT_2023-03-22_final.stac-item
2023-03-22 11:04:17	ga_s2am_ard_3-2-1_52JET_2023-03-22_final.stac-item
2023-03-22 11:04:20	ga_s2am_ard_3-2-1_52JDT_2023-03-22_final.stac-item
2023-03-22 11:04:27	ga_s2am_ard_3-2-1_52JFS_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 11:04:46	ga_s2am_ard_3-2-1_52JER_2023-03-22_final.stac-item
2023-03-22 11:04:49	ga_s2am_ard_3-2-1_52JDR_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 11:05:03	ga_s2am_ard_3-2-1_52JDQ_2023-03-22_final.stac-item
2023-03-22 11:05:11	ga_s2am_ard_3-2-1_52JFP_2023-03-22_final.stac-item
2023-03-22 11:05:25	ga_s2am_ard_3-2-1_52JFN_2023-03-22_final.stac-item
2023-03-22 11:05:36	ga_s2am_ard_3-2-1_52JCN_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 11:06:22	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 11:06:31	ga_s2am_ard_3-2-1_52HCJ_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
2023-03-22 11:06:35	ga_s2am_ard_3-2-1_52HEH_2023-03-22_nrt.stac-item
2023-03-22 11:06:35	ga_s2am_ard_3-2-1_51HYD_2023-03-22_final.stac-item
2023-03-22 11:06:36	ga_s2am_ard_3-2-1_52HDH_2023-03-22_nrt.stac-item
2023-03-23 10:30:25	ga_s2am_ard_3-2-1_54LWM_2023-03-23_final.stac-item
2023-03-23 10:30:28	ga_s2am_ard_3-2-1_54LVM_2023-03-23_final.stac-item
2023-03-23 10:30:39	ga_s2am_ard_3-2-1_54LWL_2023-03-23_final.stac-item
2023-03-23 10:30:43	ga_s2am_ard_3-2-1_54LVL_2023-03-23_final.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 10:31:10	ga_s2am_ard_3-2-1_54LVJ_2023-03-23_final.stac-item
2023-03-23 10:31:11	ga_s2am_ard_3-2-1_54LUJ_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 10:31:14	ga_s2am_ard_3-2-1_53LRD_2023-03-23_nrt.stac-item
2023-03-23 10:31:14	ga_s2am_ard_3-2-1_54LWJ_2023-03-23_final.stac-item
2023-03-23 10:31:16	ga_s2am_ard_3-2-1_54LVJ_2023-03-23_final.stac-item
2023-03-23 10:31:18	ga_s2am_ard_3-2-1_54LUJ_2023-03-23_final.stac-item
2023-03-23 10:31:20	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_53LRD_2023-03-23_nrt.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_54KWG_2023-03-23_final.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 10:31:47	ga_s2am_ard_3-2-1_54KTG_2023-03-23_final.stac-item
2023-03-23 10:31:49	ga_s2am_ard_3-2-1_53KRB_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 10:32:10	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_54KTE_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 10:32:21	ga_s2am_ard_3-2-1_53KQV_2023-03-23_final.stac-item
2023-03-23 10:32:32	ga_s2am_ard_3-2-1_53KRU_2023-03-23_final.stac-item
2023-03-23 10:32:42	ga_s2am_ard_3-2-1_54KTC_2023-03-23_final.stac-item
2023-03-23 10:32:42	ga_s2am_ard_3-2-1_53KRT_2023-03-23_final.stac-item
2023-03-23 10:32:44	ga_s2am_ard_3-2-1_53KQT_2023-03-23_final.stac-item
2023-03-23 10:33:01	ga_s2am_ard_3-2-1_53KRS_2023-03-23_final.stac-item
2023-03-23 10:33:15	ga_s2am_ard_3-2-1_53KRR_2023-03-23_final.stac-item
2023-03-23 10:33:26	ga_s2am_ard_3-2-1_54KUV_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 10:33:30	ga_s2am_ard_3-2-1_53KRQ_2023-03-23_final.stac-item
2023-03-23 10:33:33	ga_s2am_ard_3-2-1_53KQQ_2023-03-23_final.stac-item
2023-03-23 10:33:36	ga_s2am_ard_3-2-1_53KPQ_2023-03-23_final.stac-item
2023-03-23 10:33:39	ga_s2am_ard_3-2-1_54KUU_2023-03-23_final.stac-item
2023-03-23 10:33:44	ga_s2am_ard_3-2-1_54KTU_2023-03-23_final.stac-item
2023-03-23 10:33:44	ga_s2am_ard_3-2-1_53KRP_2023-03-23_final.stac-item
2023-03-23 10:33:48	ga_s2am_ard_3-2-1_53KQP_2023-03-23_final.stac-item
2023-03-23 10:33:50	ga_s2am_ard_3-2-1_54JUT_2023-03-23_final.stac-item
2023-03-23 10:33:51	ga_s2am_ard_3-2-1_53KPP_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 10:33:58	ga_s2am_ard_3-2-1_54JTT_2023-03-23_final.stac-item
2023-03-23 10:34:02	ga_s2am_ard_3-2-1_53JQN_2023-03-23_final.stac-item
2023-03-23 10:34:06	ga_s2am_ard_3-2-1_53JPN_2023-03-23_final.stac-item
2023-03-23 10:34:12	ga_s2am_ard_3-2-1_53JNN_2023-03-23_final.stac-item
2023-03-23 10:34:13	ga_s2am_ard_3-2-1_53JRM_2023-03-23_final.stac-item
2023-03-23 10:34:20	ga_s2am_ard_3-2-1_53JPM_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 10:34:42	ga_s2am_ard_3-2-1_54JTQ_2023-03-23_final.stac-item
2023-03-23 10:34:49	ga_s2am_ard_3-2-1_53JPK_2023-03-23_final.stac-item
2023-03-23 10:35:04	ga_s2am_ard_3-2-1_53JPJ_2023-03-23_final.stac-item
2023-03-23 10:35:07	ga_s2am_ard_3-2-1_54JTN_2023-03-23_final.stac-item
2023-03-23 10:35:18	ga_s2am_ard_3-2-1_53JPH_2023-03-23_final.stac-item
2023-03-23 10:35:43	ga_s2am_ard_3-2-1_53JQF_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 10:36:16	ga_s2am_ard_3-2-1_53HPD_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 10:36:31	ga_s2am_ard_3-2-1_53HPC_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 10:36:41	ga_s2am_ard_3-2-1_53HLC_2023-03-23_nrt.stac-item
2023-03-23 10:36:45	ga_s2am_ard_3-2-1_53HPB_2023-03-23_final.stac-item
2023-03-23 10:36:49	ga_s2am_ard_3-2-1_53HNB_2023-03-23_final.stac-item
2023-03-23 10:36:52	ga_s2am_ard_3-2-1_53HMB_2023-03-23_final.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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