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
2023-02-03 11:12:39	ga_s2am_ard_3-2-1_52KFD_2023-02-03_final.stac-item
2023-02-06 09:46:06	ga_s2am_ard_3-2-1_55HGC_2023-02-06_final.stac-item
2023-02-06 09:46:16	ga_s2am_ard_3-2-1_55HGB_2023-02-06_final.stac-item
2023-02-06 11:21:59	ga_s2am_ard_3-2-1_52KDG_2023-02-06_final.stac-item
2023-02-06 11:22:11	ga_s2am_ard_3-2-1_52KDF_2023-02-06_final.stac-item
2023-02-06 11:23:12	ga_s2am_ard_3-2-1_51KXT_2023-02-06_final.stac-item
2023-02-06 11:23:26	ga_s2am_ard_3-2-1_52KCA_2023-02-06_final.stac-item
2023-02-06 11:23:56	ga_s2am_ard_3-2-1_51KXQ_2023-02-06_final.stac-item
2023-02-06 11:24:31	ga_s2am_ard_3-2-1_52JBS_2023-02-06_final.stac-item
2023-02-06 11:24:42	ga_s2am_ard_3-2-1_52JBR_2023-02-06_final.stac-item
2023-02-06 11:25:44	ga_s2am_ard_3-2-1_51JYG_2023-02-06_final.stac-item
2023-02-07 10:53:58	ga_s2am_ard_3-2-1_53JMN_2023-02-07_final.stac-item
2023-02-07 10:54:46	ga_s2am_ard_3-2-1_52JFR_2023-02-07_final.stac-item
2023-02-07 10:54:57	ga_s2am_ard_3-2-1_52JGQ_2023-02-07_final.stac-item
2023-02-07 10:55:04	ga_s2am_ard_3-2-1_52JGP_2023-02-07_final.stac-item
2023-02-07 10:55:04	ga_s2am_ard_3-2-1_52JGQ_2023-02-07_final.stac-item
2023-02-07 10:55:06	ga_s2am_ard_3-2-1_52JFQ_2023-02-07_final.stac-item
2023-02-08 10:26:11	ga_s2am_ard_3-2-1_54HUJ_2023-02-08_final.stac-item
2023-02-08 12:03:43	ga_s2am_ard_3-2-1_50KNA_2023-02-08_final.stac-item
2023-02-08 12:04:57	ga_s2am_ard_3-2-1_50JMR_2023-02-08_final.stac-item
2023-02-08 12:06:13	ga_s2am_ard_3-2-1_50JLL_2023-02-08_final.stac-item
2023-02-22 10:07:47	ga_s2am_ard_3-2-1_54HWB_2023-02-22_nrt.stac-item
2023-02-25 11:53:50	ga_s2am_ard_3-2-1_50KQV_2023-02-25_final.stac-item
2023-02-25 11:53:58	ga_s2am_ard_3-2-1_50KQV_2023-02-25_final.stac-item
2023-02-25 11:54:11	ga_s2am_ard_3-2-1_50KQU_2023-02-25_final.stac-item
2023-02-25 11:56:26	ga_s2am_ard_3-2-1_50JKL_2023-02-25_nrt.stac-item
2023-02-25 11:56:57	ga_s2am_ard_3-2-1_49HGD_2023-02-25_nrt.stac-item
2023-02-26 09:45:30	ga_s2am_ard_3-2-1_56HKK_2023-02-26_final.stac-item
2023-02-26 11:25:43	ga_s2am_ard_3-2-1_51JYG_2023-02-26_final.stac-item
2023-02-28 12:06:12	ga_s2am_ard_3-2-1_50JLL_2023-02-28_final.stac-item
2023-03-01 09:53:45	ga_s2am_ard_3-2-1_55JGM_2023-03-01_final.stac-item
2023-03-01 11:33:50	ga_s2am_ard_3-2-1_51KXQ_2023-03-01_final.stac-item
2023-03-01 11:34:13	ga_s2am_ard_3-2-1_51JXN_2023-03-01_final.stac-item
2023-03-02 11:04:26	ga_s2am_ard_3-2-1_52JFS_2023-03-02_final.stac-item
2023-03-02 11:04:33	ga_s2am_ard_3-2-1_52JGR_2023-03-02_final.stac-item
2023-03-03 10:34:19	ga_s2am_ard_3-2-1_53JPM_2023-03-03_final.stac-item
2023-03-04 10:04:20	ga_s2am_ard_3-2-1_55JDK_2023-03-04_final.stac-item
2023-03-04 10:05:36	ga_s2am_ard_3-2-1_55HCE_2023-03-04_final.stac-item
2023-03-04 11:43:21	ga_s2am_ard_3-2-1_51KVS_2023-03-04_final.stac-item
2023-03-05 11:14:28	ga_s2am_ard_3-2-1_52JDS_2023-03-05_final.stac-item
2023-03-05 11:14:31	ga_s2am_ard_3-2-1_52JCS_2023-03-05_final.stac-item
2023-03-05 11:14:43	ga_s2am_ard_3-2-1_52JDR_2023-03-05_final.stac-item
2023-03-06 10:44:13	ga_s2am_ard_3-2-1_53JPM_2023-03-06_final.stac-item
2023-03-07 11:52:50	ga_s2am_ard_3-2-1_51KTU_2023-03-07_final.stac-item
2023-03-07 11:54:19	ga_s2am_ard_3-2-1_50JQT_2023-03-07_final.stac-item
2023-03-07 11:56:25	ga_s2am_ard_3-2-1_50JKL_2023-03-07_nrt.stac-item
2023-03-07 11:56:29	ga_s2am_ard_3-2-1_49JGF_2023-03-07_nrt.stac-item
2023-03-07 11:56:39	ga_s2am_ard_3-2-1_50HKK_2023-03-07_nrt.stac-item
2023-03-07 11:56:41	ga_s2am_ard_3-2-1_49HGE_2023-03-07_nrt.stac-item
2023-03-08 11:21:03	ga_s2am_ard_3-2-1_52LEK_2023-03-08_final.stac-item
2023-03-08 11:24:04	ga_s2am_ard_3-2-1_51KYP_2023-03-08_final.stac-item
2023-03-08 11:24:14	ga_s2am_ard_3-2-1_51JZN_2023-03-08_final.stac-item
2023-03-08 11:24:28	ga_s2am_ard_3-2-1_51JZM_2023-03-08_final.stac-item
2023-03-09 10:53:08	ga_s2am_ard_3-2-1_53KKS_2023-03-09_final.stac-item
2023-03-09 10:53:16	ga_s2am_ard_3-2-1_52KGB_2023-03-09_final.stac-item
2023-03-09 10:53:27	ga_s2am_ard_3-2-1_52KGA_2023-03-09_final.stac-item
2023-03-09 10:53:34	ga_s2am_ard_3-2-1_53KLQ_2023-03-09_final.stac-item
2023-03-09 10:53:55	ga_s2am_ard_3-2-1_53JMN_2023-03-09_final.stac-item
2023-03-10 12:03:28	ga_s2am_ard_3-2-1_50KNB_2023-03-10_final.stac-item
2023-03-11 11:31:24	ga_s2am_ard_3-2-1_52LBJ_2023-03-11_final.stac-item
2023-03-11 11:31:44	ga_s2am_ard_3-2-1_51LZC_2023-03-11_final.stac-item
2023-03-11 11:31:55	ga_s2am_ard_3-2-1_51KZB_2023-03-11_final.stac-item
2023-03-11 11:33:18	ga_s2am_ard_3-2-1_51KUT_2023-03-11_final.stac-item
2023-03-11 11:33:48	ga_s2am_ard_3-2-1_51KXQ_2023-03-11_final.stac-item
2023-03-11 11:34:31	ga_s2am_ard_3-2-1_51JTN_2023-03-11_final.stac-item
2023-03-12 11:04:31	ga_s2am_ard_3-2-1_52JGR_2023-03-12_final.stac-item
2023-03-12 11:04:53	ga_s2am_ard_3-2-1_52JFQ_2023-03-12_final.stac-item
2023-03-13 10:34:10	ga_s2am_ard_3-2-1_53JNN_2023-03-13_final.stac-item
2023-03-14 11:42:18	ga_s2am_ard_3-2-1_51KWA_2023-03-14_final.stac-item
2023-03-14 11:44:07	ga_s2am_ard_3-2-1_50KPV_2023-03-14_final.stac-item
2023-03-15 11:13:48	ga_s2am_ard_3-2-1_52KCV_2023-03-15_final.stac-item
2023-03-15 11:14:26	ga_s2am_ard_3-2-1_51JYN_2023-03-15_final.stac-item
2023-03-15 11:14:32	ga_s2am_ard_3-2-1_52JCS_2023-03-15_final.stac-item
2023-03-15 11:14:46	ga_s2am_ard_3-2-1_52JCR_2023-03-15_final.stac-item
2023-03-16 10:41:27	ga_s2am_ard_3-2-1_54LTH_2023-03-16_nrt.stac-item
2023-03-16 10:43:22	ga_s2am_ard_3-2-1_53KQQ_2023-03-16_final.stac-item
2023-03-16 10:43:23	ga_s2am_ard_3-2-1_53KMR_2023-03-16_final.stac-item
2023-03-18 09:45:30	ga_s2am_ard_3-2-1_56HKK_2023-03-18_final.stac-item
2023-03-18 09:46:05	ga_s2am_ard_3-2-1_55HGC_2023-03-18_final.stac-item
2023-03-18 09:46:15	ga_s2am_ard_3-2-1_55HGB_2023-03-18_final.stac-item
2023-03-18 11:21:06	ga_s2am_ard_3-2-1_52LEK_2023-03-18_final.stac-item
2023-03-26 10:42:54	ga_s2am_ard_3-2-1_53KPS_2023-03-26_final.stac-item
2023-03-26 10:44:15	ga_s2am_ard_3-2-1_53JPM_2023-03-26_final.stac-item
2023-03-28 09:40:11	ga_s2am_ard_3-2-1_56LNL_2023-03-28_nrt.stac-item
2023-03-28 09:47:18	ga_s2am_ard_3-2-1_55HFT_2023-03-28_final.stac-item
2023-03-29 10:52:29	ga_s2am_ard_3-2-1_52KHE_2023-03-29_final.stac-item
2023-03-31 09:58:22	ga_s2am_ard_3-2-1_55GCP_2023-03-31_final.stac-item
2023-04-02 10:30:53	ga_s2am_ard_3-2-1_54LUK_2023-04-02_nrt.stac-item
2023-04-02 10:31:04	ga_s2am_ard_3-2-1_54LTK_2023-04-02_nrt.stac-item
2023-04-02 10:31:08	ga_s2am_ard_3-2-1_53LRE_2023-04-02_nrt.stac-item
2023-04-04 09:33:39	ga_s2am_ard_3-2-1_56JPS_2023-04-04_nrt.stac-item
2023-04-06 11:53:10	ga_s2am_ard_3-2-1_50KND_2023-04-06_nrt.stac-item
2023-04-07 09:41:14	ga_s2am_ard_3-2-1_56LNH_2023-04-07_nrt.stac-item
2023-04-09 12:02:56	ga_s2am_ard_3-2-1_50KNE_2023-04-09_nrt.stac-item
2023-04-12 12:13:47	ga_s2am_ard_3-2-1_49KFS_2023-04-12_nrt.stac-item
2023-05-21 09:24:26	ga_s2am_ard_3-2-1_56JPQ_2023-05-20_nrt.stac-item
2023-08-21 11:40:55	ga_s2am_ard_3-2-1_51LUH_2023-08-21_nrt.stac-item
2023-08-21 11:41:10	ga_s2am_ard_3-2-1_51LUG_2023-08-21_nrt.stac-item
2023-08-21 11:41:23	ga_s2am_ard_3-2-1_51LXE_2023-08-21_nrt.stac-item
2023-11-14 10:53:31	ga_s2am_ard_3-2-1_52KGA_2023-11-14_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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