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
2015-10-20 09:23:08	ga_s2am_ard_3-2-1_56JNR_2015-10-19_final.stac-item
2015-10-23 09:32:46	ga_s2am_ard_3-2-1_56JNR_2015-10-23_final.stac-item
2015-12-22 09:34:27	ga_s2am_ard_3-2-1_56JNR_2015-12-22_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_56JNR_2016-01-01_final.stac-item
2016-01-21 09:34:22	ga_s2am_ard_3-2-1_56JNR_2016-01-21_final.stac-item
2016-01-31 09:32:38	ga_s2am_ard_3-2-1_56JNR_2016-01-31_final.stac-item
2016-05-20 09:32:24	ga_s2am_ard_3-2-1_56JNR_2016-05-20_final.stac-item
2016-05-30 09:33:50	ga_s2am_ard_3-2-1_56JNR_2016-05-30_final.stac-item
2016-06-09 09:32:22	ga_s2am_ard_3-2-1_56JNR_2016-06-09_final.stac-item
2016-07-26 09:23:14	ga_s2am_ard_3-2-1_56JNR_2016-07-25_final.stac-item
2016-07-29 09:33:23	ga_s2am_ard_3-2-1_56JNR_2016-07-29_final.stac-item
2016-08-05 09:22:48	ga_s2am_ard_3-2-1_56JNR_2016-08-04_final.stac-item
2016-08-08 09:33:48	ga_s2am_ard_3-2-1_56JNR_2016-08-08_final.stac-item
2016-08-15 09:22:48	ga_s2am_ard_3-2-1_56JNR_2016-08-14_final.stac-item
2016-08-18 09:32:20	ga_s2am_ard_3-2-1_56JNR_2016-08-18_final.stac-item
2016-08-25 09:23:22	ga_s2am_ard_3-2-1_56JNR_2016-08-24_final.stac-item
2016-08-28 09:32:19	ga_s2am_ard_3-2-1_56JNR_2016-08-28_final.stac-item
2016-09-04 09:22:44	ga_s2am_ard_3-2-1_56JNR_2016-09-03_final.stac-item
2016-09-07 09:32:16	ga_s2am_ard_3-2-1_56JNR_2016-09-07_final.stac-item
2016-10-04 09:22:40	ga_s2am_ard_3-2-1_56JNR_2016-10-03_final.stac-item
2016-10-07 09:32:13	ga_s2am_ard_3-2-1_56JNR_2016-10-07_final.stac-item
2016-10-27 09:32:14	ga_s2am_ard_3-2-1_56JNR_2016-10-27_final.stac-item
2016-11-06 09:32:20	ga_s2am_ard_3-2-1_56JNR_2016-11-06_final.stac-item
2016-11-13 09:22:43	ga_s2am_ard_3-2-1_56JNR_2016-11-12_final.stac-item
2016-11-23 09:22:43	ga_s2am_ard_3-2-1_56JNR_2016-11-22_final.stac-item
2016-12-23 09:22:39	ga_s2am_ard_3-2-1_56JNR_2016-12-22_final.stac-item
2017-01-12 09:23:35	ga_s2am_ard_3-2-1_56JNR_2017-01-11_final.stac-item
2017-01-25 09:32:11	ga_s2am_ard_3-2-1_56JNR_2017-01-25_final.stac-item
2017-02-04 09:32:25	ga_s2am_ard_3-2-1_56JNR_2017-02-04_final.stac-item
2017-02-11 09:22:39	ga_s2am_ard_3-2-1_56JNR_2017-02-10_final.stac-item
2017-02-21 09:22:38	ga_s2am_ard_3-2-1_56JNR_2017-02-20_final.stac-item
2017-03-03 09:22:38	ga_s2am_ard_3-2-1_56JNR_2017-03-02_final.stac-item
2017-03-13 09:22:36	ga_s2am_ard_3-2-1_56JNR_2017-03-12_final.stac-item
2017-03-16 09:32:09	ga_s2am_ard_3-2-1_56JNR_2017-03-16_final.stac-item
2017-03-26 09:32:12	ga_s2am_ard_3-2-1_56JNR_2017-03-26_final.stac-item
2017-04-02 09:22:41	ga_s2am_ard_3-2-1_56JNR_2017-04-01_final.stac-item
2017-04-12 09:22:43	ga_s2am_ard_3-2-1_56JNR_2017-04-11_final.stac-item
2017-04-22 09:24:13	ga_s2am_ard_3-2-1_56JNR_2017-04-21_final.stac-item
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_56JNR_2017-04-25_final.stac-item
2017-05-05 09:32:20	ga_s2am_ard_3-2-1_56JNR_2017-05-05_final.stac-item
2022-10-13 09:24:14	ga_s2am_ard_3-2-1_56JNR_2022-10-12_final.stac-item
2022-10-16 09:34:08	ga_s2am_ard_3-2-1_56JNR_2022-10-16_final.stac-item
2022-11-02 09:24:13	ga_s2am_ard_3-2-1_56JNR_2022-11-01_final.stac-item
2022-11-05 09:34:09	ga_s2am_ard_3-2-1_56JNR_2022-11-05_final.stac-item
2022-11-15 09:34:07	ga_s2am_ard_3-2-1_56JNR_2022-11-15_final.stac-item
2022-11-22 09:24:09	ga_s2am_ard_3-2-1_56JNR_2022-11-21_final.stac-item
2022-12-15 09:34:04	ga_s2am_ard_3-2-1_56JNR_2022-12-15_final.stac-item
2022-12-22 09:24:07	ga_s2am_ard_3-2-1_56JNR_2022-12-21_final.stac-item
2022-12-22 09:26:17	ga_s2am_ard_3-2-1_56HNG_2022-12-21_nrt.stac-item
2023-01-01 09:24:08	ga_s2am_ard_3-2-1_56JNR_2022-12-31_final.stac-item
2023-01-01 09:26:18	ga_s2am_ard_3-2-1_56HNG_2022-12-31_nrt.stac-item
2023-01-11 09:24:07	ga_s2am_ard_3-2-1_56JNR_2023-01-10_final.stac-item
2023-01-11 09:26:17	ga_s2am_ard_3-2-1_56HNG_2023-01-10_nrt.stac-item
2023-01-21 09:26:14	ga_s2am_ard_3-2-1_56HNG_2023-01-20_nrt.stac-item
2023-01-24 09:34:01	ga_s2am_ard_3-2-1_56JNR_2023-01-24_final.stac-item
2023-01-31 09:24:07	ga_s2am_ard_3-2-1_56JNR_2023-01-30_final.stac-item
2023-01-31 09:26:17	ga_s2am_ard_3-2-1_56HNG_2023-01-30_nrt.stac-item
2023-02-03 09:34:03	ga_s2am_ard_3-2-1_56JNR_2023-02-03_final.stac-item
2023-02-10 09:26:18	ga_s2am_ard_3-2-1_56HNG_2023-02-09_nrt.stac-item
2023-03-02 09:24:06	ga_s2am_ard_3-2-1_56JNR_2023-03-01_final.stac-item
2023-03-02 09:26:16	ga_s2am_ard_3-2-1_56HNG_2023-03-01_nrt.stac-item
2023-03-05 09:34:01	ga_s2am_ard_3-2-1_56JNR_2023-03-05_final.stac-item
2023-03-12 09:24:05	ga_s2am_ard_3-2-1_56JNR_2023-03-11_final.stac-item
2023-03-12 09:26:15	ga_s2am_ard_3-2-1_56HNG_2023-03-11_nrt.stac-item
2023-03-15 09:34:02	ga_s2am_ard_3-2-1_56JNR_2023-03-15_final.stac-item
2023-03-22 09:24:08	ga_s2am_ard_3-2-1_56JNR_2023-03-21_final.stac-item
2023-03-22 09:26:18	ga_s2am_ard_3-2-1_56HNG_2023-03-21_nrt.stac-item
2023-03-25 09:34:03	ga_s2am_ard_3-2-1_56JNR_2023-03-25_final.stac-item
2023-04-01 09:24:08	ga_s2am_ard_3-2-1_56JNR_2023-03-31_final.stac-item
2023-04-01 09:26:18	ga_s2am_ard_3-2-1_56HNG_2023-03-31_nrt.stac-item
2023-04-04 09:34:04	ga_s2am_ard_3-2-1_56JNR_2023-04-04_final.stac-item
2023-04-11 09:24:09	ga_s2am_ard_3-2-1_56JNR_2023-04-10_final.stac-item
2023-04-11 09:26:19	ga_s2am_ard_3-2-1_56HNG_2023-04-10_nrt.stac-item
2023-04-14 09:34:05	ga_s2am_ard_3-2-1_56JNR_2023-04-14_final.stac-item
2023-04-21 09:24:08	ga_s2am_ard_3-2-1_56JNR_2023-04-20_final.stac-item
2023-04-21 09:26:18	ga_s2am_ard_3-2-1_56HNG_2023-04-20_nrt.stac-item
2023-04-24 09:34:04	ga_s2am_ard_3-2-1_56JNR_2023-04-24_final.stac-item
2023-05-01 09:24:09	ga_s2am_ard_3-2-1_56JNR_2023-04-30_final.stac-item
2023-05-01 09:26:20	ga_s2am_ard_3-2-1_56HNG_2023-04-30_nrt.stac-item
2023-05-04 09:34:05	ga_s2am_ard_3-2-1_56JNR_2023-05-04_final.stac-item
2023-05-11 09:24:08	ga_s2am_ard_3-2-1_56JNR_2023-05-10_final.stac-item
2023-05-11 09:26:18	ga_s2am_ard_3-2-1_56HNG_2023-05-10_nrt.stac-item
2023-05-14 09:34:05	ga_s2am_ard_3-2-1_56JNR_2023-05-14_final.stac-item
2023-05-21 09:24:12	ga_s2am_ard_3-2-1_56JNR_2023-05-20_final.stac-item
2023-05-21 09:26:22	ga_s2am_ard_3-2-1_56HNG_2023-05-20_nrt.stac-item
2023-05-24 09:34:08	ga_s2am_ard_3-2-1_56JNR_2023-05-24_final.stac-item
2023-05-31 09:24:13	ga_s2am_ard_3-2-1_56JNR_2023-05-30_final.stac-item
2023-05-31 09:24:20	ga_s2am_ard_3-2-1_56JNR_2023-05-30_final.stac-item
2023-05-31 09:26:23	ga_s2am_ard_3-2-1_56HNG_2023-05-30_nrt.stac-item
2023-06-03 09:34:08	ga_s2am_ard_3-2-1_56JNR_2023-06-03_final.stac-item
2023-06-10 09:24:13	ga_s2am_ard_3-2-1_56JNR_2023-06-09_final.stac-item
2023-06-10 09:26:23	ga_s2am_ard_3-2-1_56HNG_2023-06-09_nrt.stac-item
2023-06-13 09:34:09	ga_s2am_ard_3-2-1_56JNR_2023-06-13_final.stac-item
2023-06-20 09:26:23	ga_s2am_ard_3-2-1_56HNG_2023-06-19_nrt.stac-item
2023-06-30 09:26:24	ga_s2am_ard_3-2-1_56HNG_2023-06-29_nrt.stac-item
2023-07-10 09:26:24	ga_s2am_ard_3-2-1_56HNG_2023-07-09_nrt.stac-item
2023-07-20 09:26:23	ga_s2am_ard_3-2-1_56HNG_2023-07-19_nrt.stac-item
2023-07-30 09:26:25	ga_s2am_ard_3-2-1_56HNG_2023-07-29_nrt.stac-item
2023-08-09 09:26:24	ga_s2am_ard_3-2-1_56HNG_2023-08-08_nrt.stac-item
2023-08-19 09:26:25	ga_s2am_ard_3-2-1_56HNG_2023-08-18_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

Other products

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