Search ga_s2am_ard_3 across 2023

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
2023-01-10 09:58:24	ga_s2am_ard_3-2-1_54GWV_2023-01-10_nrt.stac-item
2023-01-10 09:58:30	ga_s2am_ard_3-2-1_54GVV_2023-01-10_nrt.stac-item
2023-01-10 09:58:32	ga_s2am_ard_3-2-1_54GWU_2023-01-10_nrt.stac-item
2023-01-20 09:58:21	ga_s2am_ard_3-2-1_54GWV_2023-01-20_nrt.stac-item
2023-01-30 09:58:24	ga_s2am_ard_3-2-1_54GWV_2023-01-30_nrt.stac-item
2023-02-09 09:58:25	ga_s2am_ard_3-2-1_54GWV_2023-02-09_nrt.stac-item
2023-02-09 09:58:30	ga_s2am_ard_3-2-1_54GVV_2023-02-09_nrt.stac-item
2023-02-19 09:58:23	ga_s2am_ard_3-2-1_54GWV_2023-02-19_nrt.stac-item
2023-03-01 09:58:23	ga_s2am_ard_3-2-1_54GWV_2023-03-01_nrt.stac-item
2023-03-01 09:58:29	ga_s2am_ard_3-2-1_54GVV_2023-03-01_nrt.stac-item
2023-03-11 09:58:21	ga_s2am_ard_3-2-1_54GWV_2023-03-11_nrt.stac-item
2023-03-11 09:58:27	ga_s2am_ard_3-2-1_54GVV_2023-03-11_nrt.stac-item
2023-03-21 09:58:24	ga_s2am_ard_3-2-1_54GWV_2023-03-21_nrt.stac-item
2023-03-21 09:58:30	ga_s2am_ard_3-2-1_54GVV_2023-03-21_nrt.stac-item
2023-03-31 09:58:24	ga_s2am_ard_3-2-1_54GWV_2023-03-31_nrt.stac-item
2023-03-31 09:58:30	ga_s2am_ard_3-2-1_54GVV_2023-03-31_nrt.stac-item
2023-03-31 09:58:32	ga_s2am_ard_3-2-1_54GWU_2023-03-31_nrt.stac-item
2023-04-10 09:58:26	ga_s2am_ard_3-2-1_54GWV_2023-04-10_nrt.stac-item
2023-04-10 09:58:32	ga_s2am_ard_3-2-1_54GVV_2023-04-10_nrt.stac-item
2023-04-10 09:58:33	ga_s2am_ard_3-2-1_54GWU_2023-04-10_nrt.stac-item
2023-04-20 09:58:25	ga_s2am_ard_3-2-1_54GWV_2023-04-20_nrt.stac-item
2023-04-20 09:58:30	ga_s2am_ard_3-2-1_54GVV_2023-04-20_nrt.stac-item
2023-04-30 09:58:26	ga_s2am_ard_3-2-1_54GWV_2023-04-30_nrt.stac-item
2023-04-30 09:58:32	ga_s2am_ard_3-2-1_54GVV_2023-04-30_nrt.stac-item
2023-04-30 09:58:34	ga_s2am_ard_3-2-1_54GWU_2023-04-30_nrt.stac-item
2023-05-10 09:58:25	ga_s2am_ard_3-2-1_54GWV_2023-05-10_nrt.stac-item
2023-05-10 09:58:31	ga_s2am_ard_3-2-1_54GVV_2023-05-10_nrt.stac-item
2023-05-20 09:58:28	ga_s2am_ard_3-2-1_54GWV_2023-05-20_nrt.stac-item
2023-05-20 09:58:34	ga_s2am_ard_3-2-1_54GVV_2023-05-20_nrt.stac-item
2023-05-30 09:58:30	ga_s2am_ard_3-2-1_54GWV_2023-05-30_nrt.stac-item
2023-05-30 09:58:35	ga_s2am_ard_3-2-1_54GVV_2023-05-30_nrt.stac-item
2023-06-09 09:58:30	ga_s2am_ard_3-2-1_54GWV_2023-06-09_nrt.stac-item
2023-06-09 09:58:35	ga_s2am_ard_3-2-1_54GVV_2023-06-09_nrt.stac-item
2023-06-19 09:58:30	ga_s2am_ard_3-2-1_54GWV_2023-06-19_nrt.stac-item
2023-06-19 09:58:35	ga_s2am_ard_3-2-1_54GVV_2023-06-19_nrt.stac-item
2023-06-24 10:45:54	ga_s2am_ard_3-2-1_53JMF_2023-06-24_final.stac-item
2023-06-29 09:58:30	ga_s2am_ard_3-2-1_54GWV_2023-06-29_nrt.stac-item
2023-07-01 10:36:00	ga_s2am_ard_3-2-1_53JMF_2023-07-01_final.stac-item
2023-07-04 10:45:56	ga_s2am_ard_3-2-1_53JMF_2023-07-04_final.stac-item
2023-07-09 09:58:31	ga_s2am_ard_3-2-1_54GWV_2023-07-09_nrt.stac-item
2023-07-09 09:58:37	ga_s2am_ard_3-2-1_54GVV_2023-07-09_nrt.stac-item
2023-07-09 09:58:39	ga_s2am_ard_3-2-1_54GWU_2023-07-09_nrt.stac-item
2023-07-11 10:36:01	ga_s2am_ard_3-2-1_53JMF_2023-07-11_final.stac-item
2023-07-14 10:45:47	ga_s2am_ard_3-2-1_53JNF_2023-07-14_final.stac-item
2023-07-14 10:46:00	ga_s2am_ard_3-2-1_53JMF_2023-07-14_final.stac-item
2023-07-19 09:58:30	ga_s2am_ard_3-2-1_54GWV_2023-07-19_nrt.stac-item
2023-07-19 09:58:36	ga_s2am_ard_3-2-1_54GVV_2023-07-19_nrt.stac-item
2023-07-19 09:58:38	ga_s2am_ard_3-2-1_54GWU_2023-07-19_nrt.stac-item
2023-07-21 10:36:00	ga_s2am_ard_3-2-1_53JMF_2023-07-21_final.stac-item
2023-07-24 10:45:56	ga_s2am_ard_3-2-1_53JMF_2023-07-24_final.stac-item
2023-07-29 09:58:31	ga_s2am_ard_3-2-1_54GWV_2023-07-29_nrt.stac-item
2023-07-29 09:58:37	ga_s2am_ard_3-2-1_54GVV_2023-07-29_nrt.stac-item
2023-07-29 09:58:39	ga_s2am_ard_3-2-1_54GWU_2023-07-29_nrt.stac-item
2023-07-31 10:36:01	ga_s2am_ard_3-2-1_53JMF_2023-07-31_final.stac-item
2023-08-03 10:45:47	ga_s2am_ard_3-2-1_53JNF_2023-08-03_final.stac-item
2023-08-03 10:45:56	ga_s2am_ard_3-2-1_53JMF_2023-08-03_final.stac-item
2023-08-08 09:58:31	ga_s2am_ard_3-2-1_54GWV_2023-08-08_nrt.stac-item
2023-08-08 09:58:36	ga_s2am_ard_3-2-1_54GVV_2023-08-08_nrt.stac-item
2023-08-13 10:45:56	ga_s2am_ard_3-2-1_53JMF_2023-08-13_final.stac-item
2023-08-18 09:58:32	ga_s2am_ard_3-2-1_54GWV_2023-08-18_nrt.stac-item
2023-08-18 09:58:37	ga_s2am_ard_3-2-1_54GVV_2023-08-18_nrt.stac-item
2023-08-20 10:36:02	ga_s2am_ard_3-2-1_53JMF_2023-08-20_final.stac-item
2023-08-23 10:45:48	ga_s2am_ard_3-2-1_53JNF_2023-08-23_final.stac-item
2023-08-23 10:45:57	ga_s2am_ard_3-2-1_53JMF_2023-08-23_final.stac-item
2023-08-28 09:58:32	ga_s2am_ard_3-2-1_54GWV_2023-08-28_nrt.stac-item
2023-08-28 09:58:37	ga_s2am_ard_3-2-1_54GVV_2023-08-28_nrt.stac-item
2023-09-02 10:45:56	ga_s2am_ard_3-2-1_53JMF_2023-09-02_final.stac-item
2023-09-07 09:58:31	ga_s2am_ard_3-2-1_54GWV_2023-09-07_nrt.stac-item
2023-09-07 09:58:37	ga_s2am_ard_3-2-1_54GVV_2023-09-07_nrt.stac-item
2023-09-07 09:58:39	ga_s2am_ard_3-2-1_54GWU_2023-09-07_nrt.stac-item
2023-09-12 10:45:56	ga_s2am_ard_3-2-1_53JMF_2023-09-12_final.stac-item
2023-09-17 09:58:29	ga_s2am_ard_3-2-1_54GWV_2023-09-17_nrt.stac-item
2023-09-17 09:58:35	ga_s2am_ard_3-2-1_54GVV_2023-09-17_nrt.stac-item
2023-09-22 10:45:53	ga_s2am_ard_3-2-1_53JMF_2023-09-22_final.stac-item
2023-09-27 09:58:28	ga_s2am_ard_3-2-1_54GWV_2023-09-27_nrt.stac-item
2023-09-27 09:58:34	ga_s2am_ard_3-2-1_54GVV_2023-09-27_nrt.stac-item
2023-09-27 09:58:36	ga_s2am_ard_3-2-1_54GWU_2023-09-27_nrt.stac-item
2023-10-02 10:45:53	ga_s2am_ard_3-2-1_53JMF_2023-10-02_final.stac-item
2023-10-07 09:58:27	ga_s2am_ard_3-2-1_54GWV_2023-10-07_nrt.stac-item
2023-10-07 09:58:32	ga_s2am_ard_3-2-1_54GVV_2023-10-07_nrt.stac-item
2023-10-12 10:45:49	ga_s2am_ard_3-2-1_53JMF_2023-10-12_final.stac-item
2023-10-17 09:58:25	ga_s2am_ard_3-2-1_54GWV_2023-10-17_nrt.stac-item
2023-10-22 10:45:51	ga_s2am_ard_3-2-1_53JMF_2023-10-22_final.stac-item
2023-10-27 09:58:26	ga_s2am_ard_3-2-1_54GWV_2023-10-27_nrt.stac-item
2023-11-01 10:45:50	ga_s2am_ard_3-2-1_53JMF_2023-11-01_final.stac-item
2023-11-06 09:58:25	ga_s2am_ard_3-2-1_54GWV_2023-11-06_nrt.stac-item
2023-11-06 09:58:31	ga_s2am_ard_3-2-1_54GVV_2023-11-06_nrt.stac-item
2023-11-11 10:45:50	ga_s2am_ard_3-2-1_53JMF_2023-11-11_final.stac-item
2023-11-16 09:58:24	ga_s2am_ard_3-2-1_54GWV_2023-11-16_nrt.stac-item
2023-11-16 09:58:30	ga_s2am_ard_3-2-1_54GVV_2023-11-16_nrt.stac-item
2023-11-21 10:45:48	ga_s2am_ard_3-2-1_53JMF_2023-11-21_final.stac-item
2023-11-26 09:58:20	ga_s2am_ard_3-2-1_54GWV_2023-11-26_nrt.stac-item
2023-12-01 10:45:43	ga_s2am_ard_3-2-1_53JMF_2023-12-01_final.stac-item
2023-12-06 09:58:20	ga_s2am_ard_3-2-1_54GWV_2023-12-06_nrt.stac-item
2023-12-11 10:45:46	ga_s2am_ard_3-2-1_53JMF_2023-12-11_final.stac-item
2023-12-16 09:58:22	ga_s2am_ard_3-2-1_54GWV_2023-12-16_nrt.stac-item
2023-12-21 10:45:46	ga_s2am_ard_3-2-1_53JMF_2023-12-21_final.stac-item
2023-12-21 10:45:53	ga_s2am_ard_3-2-1_53JMF_2023-12-21_final.stac-item
2023-12-26 09:58:23	ga_s2am_ard_3-2-1_54GWV_2023-12-26_nrt.stac-item
2023-12-31 10:45:45	ga_s2am_ard_3-2-1_53JMF_2023-12-31_final.stac-item

Return to ga_s2am_ard_3 across 2023 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

2023

All months