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
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50HPJ_2016-03-07_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51HTC_2016-03-07_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51HTD_2016-03-07_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51HVD_2016-03-07_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HLH_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HMJ_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HNH_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HPJ_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HPK_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JML_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JMM_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JNM_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPL_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPM_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JQL_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51JTF_2016-03-20_final.stac-item
2016-05-02 11:56:30	ga_s2am_ard_3-2-1_50JML_2016-05-02_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_50JPL_2016-05-06_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_50JQL_2016-05-06_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_51HUE_2016-05-06_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_51HVE_2016-05-06_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_51JTF_2016-05-06_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_51JTG_2016-05-06_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50KKB_2016-05-15_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HPK_2016-05-16_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50JPL_2016-05-16_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50JQL_2016-05-16_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51HUE_2016-05-16_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51HVE_2016-05-16_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51JTF_2016-05-16_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JHN_2016-05-18_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JFM_2016-05-18_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KLU_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KMV_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KNA_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KQV_2016-05-22_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HLH_2016-05-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HMJ_2016-05-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HNH_2016-05-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HPJ_2016-05-29_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JPT_2016-07-01_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JQT_2016-07-01_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KMV_2016-07-01_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KNA_2016-07-01_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KQV_2016-07-01_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HLH_2016-07-08_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HMJ_2016-07-08_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HNH_2016-07-08_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HPJ_2016-07-08_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KHQ_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KHR_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50KLU_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50KLV_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50KMV_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50KNA_2016-07-14_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KLU_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KMV_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KNA_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KPB_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KPC_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KQB_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KQC_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KQV_2016-07-21_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51HTC_2016-07-22_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51HVD_2016-07-22_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_49JHM_2016-07-24_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_49JHN_2016-07-24_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JML_2016-07-28_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JPM_2016-07-28_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JQL_2016-07-28_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50KQV_2016-07-28_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50KRA_2016-07-28_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_50KKB_2016-08-03_final.stac-item
2016-08-16 12:13:46	ga_s2am_ard_3-2-1_49KHQ_2016-08-16_final.stac-item
2016-08-16 12:13:46	ga_s2am_ard_3-2-1_49KHR_2016-08-16_final.stac-item
2016-08-16 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-08-16_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50KQB_2016-08-17_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50KQC_2016-08-17_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2016-08-26_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KHR_2016-08-26_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_50KKB_2016-08-26_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49JFM_2016-08-26_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50KMV_2016-08-30_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50KNA_2016-08-30_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50KQV_2016-08-30_final.stac-item
2022-12-21 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2022-12-21_final.stac-item
2022-12-24 11:44:36	ga_s2am_ard_3-2-1_50JPT_2022-12-24_final.stac-item
2022-12-24 11:47:12	ga_s2am_ard_3-2-1_50HLH_2022-12-24_final.stac-item
2023-01-06 11:51:06	ga_s2am_ard_3-2-1_50LQM_2023-01-06_nrt.stac-item
2023-01-06 11:51:20	ga_s2am_ard_3-2-1_50LQL_2023-01-06_nrt.stac-item
2023-01-06 11:51:25	ga_s2am_ard_3-2-1_50LPL_2023-01-06_nrt.stac-item
2023-01-06 11:51:35	ga_s2am_ard_3-2-1_50LQK_2023-01-06_nrt.stac-item
2023-01-06 11:51:50	ga_s2am_ard_3-2-1_50LQJ_2023-01-06_nrt.stac-item
2023-01-06 11:52:04	ga_s2am_ard_3-2-1_50LQH_2023-01-06_nrt.stac-item
2023-01-06 11:52:07	ga_s2am_ard_3-2-1_50LPH_2023-01-06_nrt.stac-item
2023-01-06 11:56:44	ga_s2am_ard_3-2-1_49HGE_2023-01-06_nrt.stac-item
2023-01-06 11:56:59	ga_s2am_ard_3-2-1_49HGD_2023-01-06_nrt.stac-item
2023-01-06 11:57:13	ga_s2am_ard_3-2-1_49HGC_2023-01-06_nrt.stac-item
2023-01-06 11:57:21	ga_s2am_ard_3-2-1_49HFC_2023-01-06_nrt.stac-item
2023-01-06 11:57:24	ga_s2am_ard_3-2-1_49HGB_2023-01-06_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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