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
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49KHS_2017-02-02_final.stac-item
2017-02-14 11:16:18	ga_s2am_ard_3-2-1_51HWC_2017-02-14_final.stac-item
2017-04-01 11:34:45	ga_s2am_ard_3-2-1_50HNG_2017-04-01_final.stac-item
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HNG_2017-06-13_final.stac-item
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KHS_2017-06-22_final.stac-item
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HPG_2017-09-01_final.stac-item
2017-09-01 11:47:17	ga_s2am_ard_3-2-1_50HNG_2017-09-01_final.stac-item
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49KHS_2017-09-07_final.stac-item
2017-10-26 10:53:14	ga_s2am_ard_3-2-1_53HKE_2017-10-26_final.stac-item
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KHS_2017-11-09_final.stac-item
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HNG_2017-11-20_final.stac-item
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_50HNG_2017-11-27_final.stac-item
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KHS_2017-11-29_final.stac-item
2017-12-09 12:13:38	ga_s2am_ard_3-2-1_49KHS_2017-12-09_final.stac-item
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51HWC_2018-02-02_final.stac-item
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_51HWC_2018-02-12_final.stac-item
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-02-14_final.stac-item
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51HWC_2018-02-22_final.stac-item
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-02-24_final.stac-item
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHS_2018-02-27_final.stac-item
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49KHS_2018-03-16_final.stac-item
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49KHS_2018-03-26_final.stac-item
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_50HNG_2018-03-27_final.stac-item
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49KHS_2018-03-29_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNG_2018-03-30_final.stac-item
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HLG_2018-04-12_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HLG_2018-04-29_final.stac-item
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49KHS_2018-05-08_final.stac-item
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49KHS_2018-06-17_final.stac-item
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HPG_2018-07-18_final.stac-item
2018-07-27 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-07-27_final.stac-item
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HNG_2018-07-28_final.stac-item
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HPG_2018-08-27_final.stac-item
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KHS_2018-09-05_final.stac-item
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-09-12_final.stac-item
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HPG_2018-09-26_final.stac-item
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HLG_2018-10-19_final.stac-item
2018-10-20 11:23:51	ga_s2am_ard_3-2-1_51HWC_2018-10-20_final.stac-item
2018-11-18 11:57:17	ga_s2am_ard_3-2-1_50HLG_2018-11-18_final.stac-item
2018-11-22 11:37:14	ga_s2am_ard_3-2-1_50HPG_2018-11-22_final.stac-item
2018-12-01 12:03:36	ga_s2am_ard_3-2-1_49KHS_2018-12-01_final.stac-item
2018-12-02 11:37:18	ga_s2am_ard_3-2-1_50HNG_2018-12-02_final.stac-item
2018-12-04 12:13:31	ga_s2am_ard_3-2-1_49KHS_2018-12-04_final.stac-item
2018-12-05 11:47:19	ga_s2am_ard_3-2-1_50HLG_2018-12-05_final.stac-item
2020-04-18 11:47:21	ga_s2am_ard_3-2-1_50HNG_2020-04-18_final.stac-item
2023-08-15 11:21:31	ga_s2am_ard_3-2-1_51LZE_2023-08-15_final.stac-item
2023-08-15 11:21:41	ga_s2am_ard_3-2-1_52LCJ_2023-08-15_final.stac-item
2023-08-15 11:21:56	ga_s2am_ard_3-2-1_52LCH_2023-08-15_final.stac-item
2023-08-15 11:22:04	ga_s2am_ard_3-2-1_51LYC_2023-08-15_final.stac-item
2023-08-15 11:22:13	ga_s2am_ard_3-2-1_52KBG_2023-08-15_final.stac-item
2023-08-15 11:22:39	ga_s2am_ard_3-2-1_52KCE_2023-08-15_final.stac-item
2023-08-15 11:22:54	ga_s2am_ard_3-2-1_52KCD_2023-08-15_final.stac-item
2023-08-15 11:23:06	ga_s2am_ard_3-2-1_51KXU_2023-08-15_final.stac-item
2023-08-15 11:23:16	ga_s2am_ard_3-2-1_51KYT_2023-08-15_final.stac-item
2023-08-15 11:23:30	ga_s2am_ard_3-2-1_51KYS_2023-08-15_final.stac-item
2023-08-15 11:23:40	ga_s2am_ard_3-2-1_52KBA_2023-08-15_final.stac-item
2023-08-15 11:23:47	ga_s2am_ard_3-2-1_51KZQ_2023-08-15_final.stac-item
2023-08-15 11:23:47	ga_s2am_ard_3-2-1_52KBA_2023-08-15_final.stac-item
2023-08-15 11:23:55	ga_s2am_ard_3-2-1_51KZQ_2023-08-15_final.stac-item
2023-08-15 11:24:10	ga_s2am_ard_3-2-1_51KZP_2023-08-15_final.stac-item
2023-08-15 11:24:10	ga_s2am_ard_3-2-1_52KBU_2023-08-15_final.stac-item
2023-08-15 11:24:17	ga_s2am_ard_3-2-1_51KXP_2023-08-15_final.stac-item
2023-08-15 11:24:24	ga_s2am_ard_3-2-1_52JBT_2023-08-15_final.stac-item
2023-08-15 11:24:28	ga_s2am_ard_3-2-1_51JYN_2023-08-15_final.stac-item
2023-08-15 11:24:35	ga_s2am_ard_3-2-1_51JWN_2023-08-15_final.stac-item
2023-08-15 11:24:38	ga_s2am_ard_3-2-1_51JZM_2023-08-15_final.stac-item
2023-08-15 11:24:46	ga_s2am_ard_3-2-1_51JXM_2023-08-15_final.stac-item
2023-08-15 11:24:50	ga_s2am_ard_3-2-1_51JWM_2023-08-15_final.stac-item
2023-08-15 11:25:01	ga_s2am_ard_3-2-1_51JXL_2023-08-15_final.stac-item
2023-08-15 11:25:15	ga_s2am_ard_3-2-1_51JXK_2023-08-15_final.stac-item
2023-08-15 11:25:22	ga_s2am_ard_3-2-1_51JVK_2023-08-15_final.stac-item
2023-08-15 11:25:36	ga_s2am_ard_3-2-1_51JVJ_2023-08-15_final.stac-item
2023-08-15 11:25:39	ga_s2am_ard_3-2-1_51JYH_2023-08-15_final.stac-item
2023-08-15 11:25:50	ga_s2am_ard_3-2-1_51JYG_2023-08-15_final.stac-item
2023-08-15 11:26:02	ga_s2am_ard_3-2-1_51JWG_2023-08-15_final.stac-item
2023-08-15 11:26:11	ga_s2am_ard_3-2-1_51JUG_2023-08-15_final.stac-item
2023-08-15 11:26:17	ga_s2am_ard_3-2-1_51JWF_2023-08-15_final.stac-item
2023-08-15 11:26:20	ga_s2am_ard_3-2-1_51JVF_2023-08-15_final.stac-item
2023-08-15 11:26:23	ga_s2am_ard_3-2-1_51JUF_2023-08-15_final.stac-item
2023-08-15 11:26:28	ga_s2am_ard_3-2-1_51HXE_2023-08-15_final.stac-item
2023-08-15 11:26:41	ga_s2am_ard_3-2-1_51HXD_2023-08-15_final.stac-item
2023-08-15 11:26:53	ga_s2am_ard_3-2-1_51HUD_2023-08-15_final.stac-item
2023-08-15 11:26:53	ga_s2am_ard_3-2-1_51HXC_2023-08-15_final.stac-item
2023-08-15 11:27:00	ga_s2am_ard_3-2-1_51HWC_2023-08-15_final.stac-item
2023-08-15 11:27:04	ga_s2am_ard_3-2-1_51HVC_2023-08-15_final.stac-item
2023-08-15 11:27:07	ga_s2am_ard_3-2-1_51HUC_2023-08-15_final.stac-item
2023-08-15 11:27:12	ga_s2am_ard_3-2-1_51HWB_2023-08-15_final.stac-item
2023-08-15 11:27:14	ga_s2am_ard_3-2-1_51HVB_2023-08-15_final.stac-item
2023-08-15 11:27:16	ga_s2am_ard_3-2-1_51HUB_2023-08-15_final.stac-item
2023-08-15 11:27:18	ga_s2am_ard_3-2-1_51HTB_2023-08-15_final.stac-item
2023-08-25 11:20:26	ga_s2am_ard_3-2-1_52LDP_2023-08-25_nrt.stac-item
2023-08-25 11:20:30	ga_s2am_ard_3-2-1_52LBP_2023-08-25_nrt.stac-item
2023-08-25 11:20:33	ga_s2am_ard_3-2-1_52LDP_2023-08-25_nrt.stac-item
2023-08-25 11:20:34	ga_s2am_ard_3-2-1_52LDN_2023-08-25_nrt.stac-item
2023-08-25 11:20:36	ga_s2am_ard_3-2-1_52LBP_2023-08-25_nrt.stac-item
2023-08-25 11:20:41	ga_s2am_ard_3-2-1_52LDN_2023-08-25_nrt.stac-item
2023-08-25 11:20:46	ga_s2am_ard_3-2-1_52LBN_2023-08-25_nrt.stac-item
2023-08-25 11:20:52	ga_s2am_ard_3-2-1_51LZH_2023-08-25_nrt.stac-item
2023-08-25 11:20:55	ga_s2am_ard_3-2-1_52LDM_2023-08-25_nrt.stac-item
2023-08-25 11:21:03	ga_s2am_ard_3-2-1_51LZG_2023-08-25_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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