Search ga_s2am_ard_3 across September 2022

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
2022-09-01 10:24:30	ga_s2am_ard_3-2-1_54JWR_2022-09-01_final.stac-item
2022-09-01 10:24:34	ga_s2am_ard_3-2-1_54JWR_2022-09-01_final.stac-item
2022-09-01 10:24:52	ga_s2am_ard_3-2-1_53JQL_2022-09-01_final.stac-item
2022-09-01 10:27:21	ga_s2am_ard_3-2-1_53HNA_2022-09-01_final.stac-item
2022-09-02 09:54:32	ga_s2am_ard_3-2-1_55JDL_2022-09-02_final.stac-item
2022-09-02 09:56:17	ga_s2am_ard_3-2-1_55HCD_2022-09-02_final.stac-item
2022-09-02 09:56:37	ga_s2am_ard_3-2-1_54HYH_2022-09-02_final.stac-item
2022-09-02 11:35:06	ga_s2am_ard_3-2-1_51JWL_2022-09-02_final.stac-item
2022-09-03 09:24:21	ga_s2am_ard_3-2-1_56JNR_2022-09-02_final.stac-item
2022-09-03 09:26:09	ga_s2am_ard_3-2-1_56HLJ_2022-09-02_final.stac-item
2022-09-03 09:29:01	ga_s2am_ard_3-2-1_55GEN_2022-09-02_final.stac-item
2022-09-03 11:04:59	ga_s2am_ard_3-2-1_52JER_2022-09-03_final.stac-item
2022-09-04 10:34:51	ga_s2am_ard_3-2-1_53JNL_2022-09-04_final.stac-item
2022-09-04 10:36:36	ga_s2am_ard_3-2-1_53HMD_2022-09-04_final.stac-item
2022-09-05 08:31:54	ga_s2am_ard_3-2-1_57FWV_2022-09-04_interim.stac-item
2022-09-05 08:32:00	ga_s2am_ard_3-2-1_57FWU_2022-09-04_interim.stac-item
2022-09-05 08:32:02	ga_s2am_ard_3-2-1_57FVU_2022-09-04_interim.stac-item
2022-09-05 10:04:25	ga_s2am_ard_3-2-1_55JDL_2022-09-05_final.stac-item
2022-09-05 10:07:09	ga_s2am_ard_3-2-1_54HWF_2022-09-05_final.stac-item
2022-09-06 09:34:16	ga_s2am_ard_3-2-1_56JNR_2022-09-06_final.stac-item
2022-09-06 09:36:14	ga_s2am_ard_3-2-1_55HFD_2022-09-06_final.stac-item
2022-09-06 09:38:57	ga_s2am_ard_3-2-1_55GEN_2022-09-06_final.stac-item
2022-09-07 10:44:46	ga_s2am_ard_3-2-1_53JNL_2022-09-07_final.stac-item
2022-09-07 10:46:32	ga_s2am_ard_3-2-1_53HMD_2022-09-07_final.stac-item
2022-09-07 14:13:55	ga_s2am_ard_3-2-1_43FDA_2022-09-07_interim.stac-item
2022-09-08 08:41:50	ga_s2am_ard_3-2-1_57FWV_2022-09-07_interim.stac-item
2022-09-08 08:41:56	ga_s2am_ard_3-2-1_57FWU_2022-09-07_interim.stac-item
2022-09-08 08:41:58	ga_s2am_ard_3-2-1_57FVU_2022-09-07_interim.stac-item
2022-09-08 10:14:39	ga_s2am_ard_3-2-1_54JWR_2022-09-08_final.stac-item
2022-09-08 10:17:03	ga_s2am_ard_3-2-1_54HWF_2022-09-08_final.stac-item
2022-09-08 11:55:21	ga_s2am_ard_3-2-1_50JMR_2022-09-08_final.stac-item
2022-09-08 11:57:02	ga_s2am_ard_3-2-1_50HMJ_2022-09-08_final.stac-item
2022-09-08 11:57:06	ga_s2am_ard_3-2-1_50HLJ_2022-09-08_final.stac-item
2022-09-09 09:46:10	ga_s2am_ard_3-2-1_55HFD_2022-09-09_final.stac-item
2022-09-09 11:25:10	ga_s2am_ard_3-2-1_51JWL_2022-09-09_final.stac-item
2022-09-10 14:23:51	ga_s2am_ard_3-2-1_43FDA_2022-09-10_interim.stac-item
2022-09-11 10:24:50	ga_s2am_ard_3-2-1_53JQL_2022-09-11_final.stac-item
2022-09-12 09:54:30	ga_s2am_ard_3-2-1_55JDL_2022-09-12_final.stac-item
2022-09-12 09:56:15	ga_s2am_ard_3-2-1_55HCD_2022-09-12_final.stac-item
2022-09-12 09:56:35	ga_s2am_ard_3-2-1_54HYH_2022-09-12_final.stac-item
2022-09-12 11:35:05	ga_s2am_ard_3-2-1_51JWL_2022-09-12_final.stac-item
2022-09-13 09:24:19	ga_s2am_ard_3-2-1_56JNR_2022-09-12_final.stac-item
2022-09-13 09:26:07	ga_s2am_ard_3-2-1_56HLJ_2022-09-12_final.stac-item
2022-09-13 09:28:59	ga_s2am_ard_3-2-1_55GEN_2022-09-12_final.stac-item
2022-09-13 11:04:57	ga_s2am_ard_3-2-1_52JER_2022-09-13_final.stac-item
2022-09-14 10:34:49	ga_s2am_ard_3-2-1_53JNL_2022-09-14_final.stac-item
2022-09-14 10:36:34	ga_s2am_ard_3-2-1_53HMD_2022-09-14_final.stac-item
2022-09-15 08:31:52	ga_s2am_ard_3-2-1_57FWV_2022-09-14_interim.stac-item
2022-09-15 08:31:58	ga_s2am_ard_3-2-1_57FWU_2022-09-14_interim.stac-item
2022-09-15 08:32:00	ga_s2am_ard_3-2-1_57FVU_2022-09-14_interim.stac-item
2022-09-15 10:07:07	ga_s2am_ard_3-2-1_54HWF_2022-09-15_final.stac-item
2022-09-16 09:34:14	ga_s2am_ard_3-2-1_56JNR_2022-09-16_final.stac-item
2022-09-16 09:36:12	ga_s2am_ard_3-2-1_55HFD_2022-09-16_final.stac-item
2022-09-16 09:38:54	ga_s2am_ard_3-2-1_55GEN_2022-09-16_final.stac-item
2022-09-16 11:16:53	ga_s2am_ard_3-2-1_51HWD_2022-09-16_final.stac-item
2022-09-17 10:44:44	ga_s2am_ard_3-2-1_53JNL_2022-09-17_final.stac-item
2022-09-17 10:46:30	ga_s2am_ard_3-2-1_53HMD_2022-09-17_final.stac-item
2022-09-17 14:13:53	ga_s2am_ard_3-2-1_43FDA_2022-09-17_interim.stac-item
2022-09-18 08:41:48	ga_s2am_ard_3-2-1_57FWV_2022-09-17_interim.stac-item
2022-09-18 08:41:54	ga_s2am_ard_3-2-1_57FWU_2022-09-17_interim.stac-item
2022-09-18 08:41:56	ga_s2am_ard_3-2-1_57FVU_2022-09-17_interim.stac-item
2022-09-18 10:14:37	ga_s2am_ard_3-2-1_54JWR_2022-09-18_final.stac-item
2022-09-18 10:17:01	ga_s2am_ard_3-2-1_54HWF_2022-09-18_final.stac-item
2022-09-18 11:55:18	ga_s2am_ard_3-2-1_50JMR_2022-09-18_final.stac-item
2022-09-18 11:57:00	ga_s2am_ard_3-2-1_50HMJ_2022-09-18_final.stac-item
2022-09-18 11:57:03	ga_s2am_ard_3-2-1_50HLJ_2022-09-18_final.stac-item
2022-09-19 09:46:07	ga_s2am_ard_3-2-1_55HFD_2022-09-19_final.stac-item
2022-09-19 11:25:07	ga_s2am_ard_3-2-1_51JWL_2022-09-19_final.stac-item
2022-09-19 11:26:52	ga_s2am_ard_3-2-1_51HWD_2022-09-19_final.stac-item
2022-09-20 14:23:48	ga_s2am_ard_3-2-1_43FDA_2022-09-20_interim.stac-item
2022-09-21 10:24:28	ga_s2am_ard_3-2-1_54JWR_2022-09-21_final.stac-item
2022-09-22 09:54:27	ga_s2am_ard_3-2-1_55JDL_2022-09-22_final.stac-item
2022-09-22 09:56:12	ga_s2am_ard_3-2-1_55HCD_2022-09-22_final.stac-item
2022-09-22 09:56:32	ga_s2am_ard_3-2-1_54HYH_2022-09-22_final.stac-item
2022-09-22 11:35:01	ga_s2am_ard_3-2-1_51JWL_2022-09-22_final.stac-item
2022-09-23 09:24:16	ga_s2am_ard_3-2-1_56JNR_2022-09-22_final.stac-item
2022-09-23 09:26:04	ga_s2am_ard_3-2-1_56HLJ_2022-09-22_final.stac-item
2022-09-23 09:28:56	ga_s2am_ard_3-2-1_55GEN_2022-09-22_final.stac-item
2022-09-23 11:04:54	ga_s2am_ard_3-2-1_52JER_2022-09-23_final.stac-item
2022-09-24 10:34:46	ga_s2am_ard_3-2-1_53JNL_2022-09-24_final.stac-item
2022-09-24 10:36:32	ga_s2am_ard_3-2-1_53HMD_2022-09-24_final.stac-item
2022-09-24 10:36:35	ga_s2am_ard_3-2-1_53HLD_2022-09-24_final.stac-item
2022-09-25 08:31:49	ga_s2am_ard_3-2-1_57FWV_2022-09-24_interim.stac-item
2022-09-25 08:31:55	ga_s2am_ard_3-2-1_57FWU_2022-09-24_interim.stac-item
2022-09-25 08:31:57	ga_s2am_ard_3-2-1_57FVU_2022-09-24_interim.stac-item
2022-09-25 10:07:04	ga_s2am_ard_3-2-1_54HWF_2022-09-25_final.stac-item
2022-09-26 09:34:12	ga_s2am_ard_3-2-1_56JNR_2022-09-26_final.stac-item
2022-09-26 09:36:09	ga_s2am_ard_3-2-1_55HFD_2022-09-26_final.stac-item
2022-09-26 09:38:52	ga_s2am_ard_3-2-1_55GEN_2022-09-26_final.stac-item
2022-09-27 10:44:42	ga_s2am_ard_3-2-1_53JNL_2022-09-27_final.stac-item
2022-09-27 10:46:28	ga_s2am_ard_3-2-1_53HMD_2022-09-27_final.stac-item
2022-09-27 14:13:51	ga_s2am_ard_3-2-1_43FDA_2022-09-27_interim.stac-item
2022-09-28 10:14:35	ga_s2am_ard_3-2-1_54JWR_2022-09-28_final.stac-item
2022-09-28 10:16:59	ga_s2am_ard_3-2-1_54HWF_2022-09-28_final.stac-item
2022-09-28 11:55:17	ga_s2am_ard_3-2-1_50JMR_2022-09-28_final.stac-item
2022-09-28 11:56:58	ga_s2am_ard_3-2-1_50HMJ_2022-09-28_final.stac-item
2022-09-28 11:57:02	ga_s2am_ard_3-2-1_50HLJ_2022-09-28_final.stac-item
2022-09-29 09:46:06	ga_s2am_ard_3-2-1_55HFD_2022-09-29_final.stac-item
2022-09-29 11:25:06	ga_s2am_ard_3-2-1_51JWL_2022-09-29_final.stac-item
2022-09-29 11:26:49	ga_s2am_ard_3-2-1_51HXD_2022-09-29_final.stac-item

Return to ga_s2am_ard_3 across September 2022 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

Other products

2022

September

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