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
2023-05-03 11:42:28	ga_s2am_ard_3-2-1_51KVA_2023-05-03_final.stac-item
2023-05-03 11:44:51	ga_s2am_ard_3-2-1_51JUL_2023-05-03_final.stac-item
2023-05-03 11:45:00	ga_s2am_ard_3-2-1_51JTL_2023-05-03_final.stac-item
2023-05-03 11:45:04	ga_s2am_ard_3-2-1_50JQR_2023-05-03_final.stac-item
2023-05-03 11:45:12	ga_s2am_ard_3-2-1_50JNR_2023-05-03_final.stac-item
2023-05-03 11:45:15	ga_s2am_ard_3-2-1_51JTK_2023-05-03_final.stac-item
2023-05-03 11:45:18	ga_s2am_ard_3-2-1_50JQQ_2023-05-03_final.stac-item
2023-05-03 11:45:20	ga_s2am_ard_3-2-1_50JPQ_2023-05-03_final.stac-item
2023-05-03 11:45:51	ga_s2am_ard_3-2-1_50JPN_2023-05-03_final.stac-item
2023-05-03 11:45:57	ga_s2am_ard_3-2-1_51JTG_2023-05-03_final.stac-item
2023-05-03 11:46:01	ga_s2am_ard_3-2-1_50JQM_2023-05-03_final.stac-item
2023-05-03 11:46:08	ga_s2am_ard_3-2-1_51JTF_2023-05-03_final.stac-item
2023-05-03 11:46:16	ga_s2am_ard_3-2-1_50JQL_2023-05-03_final.stac-item
2023-05-03 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2023-05-03_final.stac-item
2023-05-03 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2023-05-03_final.stac-item
2023-05-03 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2023-05-03_final.stac-item
2023-05-03 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2023-05-03_final.stac-item
2023-05-03 11:47:03	ga_s2am_ard_3-2-1_50HPH_2023-05-03_final.stac-item
2023-05-03 11:47:07	ga_s2am_ard_3-2-1_50HNH_2023-05-03_final.stac-item
2023-05-03 11:47:10	ga_s2am_ard_3-2-1_50HMH_2023-05-03_final.stac-item
2023-05-03 11:47:14	ga_s2am_ard_3-2-1_50HLH_2023-05-03_final.stac-item
2023-05-03 11:47:17	ga_s2am_ard_3-2-1_50HPG_2023-05-03_final.stac-item
2023-05-03 11:47:21	ga_s2am_ard_3-2-1_50HNG_2023-05-03_final.stac-item
2023-05-03 11:47:24	ga_s2am_ard_3-2-1_50HMG_2023-05-03_final.stac-item
2023-05-03 11:47:27	ga_s2am_ard_3-2-1_50HLG_2023-05-03_final.stac-item
2023-05-04 09:34:08	ga_s2am_ard_3-2-1_56JMR_2023-05-04_final.stac-item
2023-05-04 09:34:15	ga_s2am_ard_3-2-1_56JKR_2023-05-04_final.stac-item
2023-05-04 09:34:19	ga_s2am_ard_3-2-1_56JNQ_2023-05-04_final.stac-item
2023-05-04 09:34:23	ga_s2am_ard_3-2-1_56JMQ_2023-05-04_final.stac-item
2023-05-04 09:34:29	ga_s2am_ard_3-2-1_56JKQ_2023-05-04_final.stac-item
2023-05-04 09:34:44	ga_s2am_ard_3-2-1_56JNN_2023-05-04_final.stac-item
2023-05-04 09:34:55	ga_s2am_ard_3-2-1_56JLN_2023-05-04_final.stac-item
2023-05-04 09:35:13	ga_s2am_ard_3-2-1_56JKM_2023-05-04_final.stac-item
2023-05-04 09:35:15	ga_s2am_ard_3-2-1_55JGG_2023-05-04_final.stac-item
2023-05-04 09:35:28	ga_s2am_ard_3-2-1_56JKL_2023-05-04_final.stac-item
2023-05-04 09:35:30	ga_s2am_ard_3-2-1_55JGF_2023-05-04_final.stac-item
2023-05-04 09:35:45	ga_s2am_ard_3-2-1_55HGE_2023-05-04_final.stac-item
2023-05-04 09:35:48	ga_s2am_ard_3-2-1_56HMJ_2023-05-04_final.stac-item
2023-05-04 09:35:53	ga_s2am_ard_3-2-1_56HLJ_2023-05-04_final.stac-item
2023-05-04 09:35:57	ga_s2am_ard_3-2-1_56HKJ_2023-05-04_final.stac-item
2023-05-04 09:35:58	ga_s2am_ard_3-2-1_56HMH_2023-05-04_nrt.stac-item
2023-05-04 09:35:59	ga_s2am_ard_3-2-1_55HGD_2023-05-04_final.stac-item
2023-05-04 09:36:03	ga_s2am_ard_3-2-1_55HFD_2023-05-04_final.stac-item
2023-05-04 09:36:08	ga_s2am_ard_3-2-1_56HLH_2023-05-04_final.stac-item
2023-05-04 09:36:12	ga_s2am_ard_3-2-1_56HKH_2023-05-04_final.stac-item
2023-05-04 09:36:13	ga_s2am_ard_3-2-1_55HGC_2023-05-04_final.stac-item
2023-05-04 09:36:17	ga_s2am_ard_3-2-1_55HFC_2023-05-04_final.stac-item
2023-05-04 09:36:23	ga_s2am_ard_3-2-1_56HLG_2023-05-04_final.stac-item
2023-05-04 09:36:26	ga_s2am_ard_3-2-1_56HKG_2023-05-04_final.stac-item
2023-05-04 09:36:28	ga_s2am_ard_3-2-1_55HGB_2023-05-04_final.stac-item
2023-05-04 09:36:32	ga_s2am_ard_3-2-1_55HFB_2023-05-04_final.stac-item
2023-05-04 09:37:04	ga_s2am_ard_3-2-1_56HLD_2023-05-04_nrt.stac-item
2023-05-04 09:37:10	ga_s2am_ard_3-2-1_56HKD_2023-05-04_final.stac-item
2023-05-04 09:37:11	ga_s2am_ard_3-2-1_55HGU_2023-05-04_final.stac-item
2023-05-04 09:37:15	ga_s2am_ard_3-2-1_55HFU_2023-05-04_final.stac-item
2023-05-04 09:37:19	ga_s2am_ard_3-2-1_55HEU_2023-05-04_final.stac-item
2023-05-04 09:37:24	ga_s2am_ard_3-2-1_56HKC_2023-05-04_nrt.stac-item
2023-05-04 09:37:25	ga_s2am_ard_3-2-1_55HGT_2023-05-04_nrt.stac-item
2023-05-04 09:37:29	ga_s2am_ard_3-2-1_55HFT_2023-05-04_final.stac-item
2023-05-04 09:37:33	ga_s2am_ard_3-2-1_55HET_2023-05-04_final.stac-item
2023-05-04 09:37:40	ga_s2am_ard_3-2-1_55HDT_2023-05-04_final.stac-item
2023-05-04 09:37:44	ga_s2am_ard_3-2-1_55HFS_2023-05-04_final.stac-item
2023-05-04 09:38:41	ga_s2am_ard_3-2-1_55GFN_2023-05-04_final.stac-item
2023-05-04 09:38:45	ga_s2am_ard_3-2-1_55GEN_2023-05-04_final.stac-item
2023-05-04 09:38:49	ga_s2am_ard_3-2-1_55GDN_2023-05-04_final.stac-item
2023-05-04 09:38:53	ga_s2am_ard_3-2-1_55GCN_2023-05-04_final.stac-item
2023-05-04 09:38:56	ga_s2am_ard_3-2-1_55GFM_2023-05-04_nrt.stac-item
2023-05-04 09:39:00	ga_s2am_ard_3-2-1_55GEM_2023-05-04_final.stac-item
2023-05-04 09:39:02	ga_s2am_ard_3-2-1_55GDM_2023-05-04_final.stac-item
2023-05-04 09:39:04	ga_s2am_ard_3-2-1_55GCM_2023-05-04_final.stac-item
2023-05-04 11:11:13	ga_s2am_ard_3-2-1_52LGK_2023-05-04_final.stac-item
2023-05-04 11:11:45	ga_s2am_ard_3-2-1_52LFH_2023-05-04_final.stac-item
2023-05-04 11:11:48	ga_s2am_ard_3-2-1_52LEH_2023-05-04_final.stac-item
2023-05-04 11:11:52	ga_s2am_ard_3-2-1_52LDH_2023-05-04_final.stac-item
2023-05-04 11:12:17	ga_s2am_ard_3-2-1_52KEF_2023-05-04_final.stac-item
2023-05-04 11:12:21	ga_s2am_ard_3-2-1_52KDF_2023-05-04_final.stac-item
2023-05-04 11:14:46	ga_s2am_ard_3-2-1_52JDR_2023-05-04_final.stac-item
2023-05-04 11:14:53	ga_s2am_ard_3-2-1_52JBR_2023-05-04_final.stac-item
2023-05-04 11:14:56	ga_s2am_ard_3-2-1_51JYL_2023-05-04_final.stac-item
2023-05-04 11:15:07	ga_s2am_ard_3-2-1_52JBQ_2023-05-04_final.stac-item
2023-05-04 11:15:11	ga_s2am_ard_3-2-1_51JYK_2023-05-04_final.stac-item
2023-05-04 11:15:33	ga_s2am_ard_3-2-1_52JCN_2023-05-04_final.stac-item
2023-05-04 11:15:43	ga_s2am_ard_3-2-1_51JXH_2023-05-04_final.stac-item
2023-05-04 11:15:51	ga_s2am_ard_3-2-1_52JBM_2023-05-04_final.stac-item
2023-05-04 11:15:54	ga_s2am_ard_3-2-1_51JYG_2023-05-04_final.stac-item
2023-05-04 11:16:06	ga_s2am_ard_3-2-1_52JBL_2023-05-04_final.stac-item
2023-05-04 11:16:08	ga_s2am_ard_3-2-1_51JYF_2023-05-04_final.stac-item
2023-05-04 11:16:23	ga_s2am_ard_3-2-1_51HYE_2023-05-04_final.stac-item
2023-05-04 11:16:28	ga_s2am_ard_3-2-1_52HCJ_2023-05-04_nrt.stac-item
2023-05-04 11:16:35	ga_s2am_ard_3-2-1_52HBJ_2023-05-04_nrt.stac-item
2023-05-04 11:16:37	ga_s2am_ard_3-2-1_51HYD_2023-05-04_final.stac-item
2023-05-04 11:16:41	ga_s2am_ard_3-2-1_51HXD_2023-05-04_final.stac-item
2023-05-04 11:16:44	ga_s2am_ard_3-2-1_51HWD_2023-05-04_final.stac-item
2023-05-04 11:16:49	ga_s2am_ard_3-2-1_52HBH_2023-05-04_nrt.stac-item
2023-05-04 11:16:51	ga_s2am_ard_3-2-1_51HYC_2023-05-04_nrt.stac-item
2023-05-04 11:16:55	ga_s2am_ard_3-2-1_51HXC_2023-05-04_final.stac-item
2023-05-04 11:16:59	ga_s2am_ard_3-2-1_51HWC_2023-05-04_final.stac-item
2023-05-04 11:17:02	ga_s2am_ard_3-2-1_52HBG_2023-05-04_nrt.stac-item
2023-05-04 11:17:03	ga_s2am_ard_3-2-1_51HYB_2023-05-04_nrt.stac-item
2023-05-04 11:17:05	ga_s2am_ard_3-2-1_51HXB_2023-05-04_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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