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
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HLG_2017-01-07_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HLG_2017-01-14_final.stac-item
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HLG_2017-01-24_final.stac-item
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HLG_2017-05-04_final.stac-item
2017-05-17 11:56:36	ga_s2am_ard_3-2-1_50HLG_2017-05-17_final.stac-item
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50HLG_2017-06-06_final.stac-item
2017-06-26 11:56:32	ga_s2am_ard_3-2-1_50HLG_2017-06-26_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HLG_2017-07-03_final.stac-item
2017-07-16 11:56:34	ga_s2am_ard_3-2-1_50HLG_2017-07-16_final.stac-item
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50HLG_2017-07-23_final.stac-item
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HLG_2017-10-31_final.stac-item
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50HLG_2017-11-13_final.stac-item
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HLG_2017-11-20_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLG_2017-12-03_final.stac-item
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HLG_2017-12-23_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HLG_2017-12-30_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLG_2018-01-12_final.stac-item
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HLG_2018-03-03_final.stac-item
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HLG_2018-03-10_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HLG_2018-03-13_final.stac-item
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HLG_2018-03-20_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLG_2018-04-02_final.stac-item
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HLG_2018-04-09_final.stac-item
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50HLG_2018-04-22_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50HLG_2018-05-02_final.stac-item
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50HLG_2018-06-11_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HLG_2018-06-21_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HLG_2018-06-28_final.stac-item
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HLG_2018-07-08_final.stac-item
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50HLG_2018-07-21_final.stac-item
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HLG_2018-07-31_final.stac-item
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HLG_2018-08-07_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50HLG_2018-08-10_final.stac-item
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50HLG_2018-10-06_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HLG_2018-10-09_final.stac-item
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HLG_2018-10-16_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HLG_2018-10-26_final.stac-item
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HLG_2018-10-29_final.stac-item
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HLG_2018-11-05_final.stac-item
2018-11-08 11:57:19	ga_s2am_ard_3-2-1_50HLG_2018-11-08_final.stac-item
2018-11-15 11:47:22	ga_s2am_ard_3-2-1_50HLG_2018-11-15_final.stac-item
2018-11-25 11:47:20	ga_s2am_ard_3-2-1_50HLG_2018-11-25_final.stac-item
2019-01-17 11:57:19	ga_s2am_ard_3-2-1_50HLG_2019-01-17_final.stac-item
2019-03-05 11:47:22	ga_s2am_ard_3-2-1_50HLG_2019-03-05_final.stac-item
2019-03-08 11:57:17	ga_s2am_ard_3-2-1_50HLG_2019-03-08_final.stac-item
2019-03-15 11:47:24	ga_s2am_ard_3-2-1_50HLG_2019-03-15_final.stac-item
2019-04-14 11:47:30	ga_s2am_ard_3-2-1_50HLG_2019-04-14_final.stac-item
2019-04-27 11:57:27	ga_s2am_ard_3-2-1_50HLG_2019-04-27_final.stac-item
2019-05-04 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-05-04_final.stac-item
2019-05-07 11:57:27	ga_s2am_ard_3-2-1_50HLG_2019-05-07_final.stac-item
2019-05-17 11:57:27	ga_s2am_ard_3-2-1_50HLG_2019-05-17_final.stac-item
2019-05-27 11:57:26	ga_s2am_ard_3-2-1_50HLG_2019-05-27_final.stac-item
2019-06-26 11:57:27	ga_s2am_ard_3-2-1_50HLG_2019-06-26_final.stac-item
2019-07-13 11:47:34	ga_s2am_ard_3-2-1_50HLG_2019-07-13_final.stac-item
2019-07-26 11:57:28	ga_s2am_ard_3-2-1_50HLG_2019-07-26_final.stac-item
2019-08-25 11:57:25	ga_s2am_ard_3-2-1_50HLG_2019-08-25_final.stac-item
2019-09-01 11:47:28	ga_s2am_ard_3-2-1_50HLG_2019-09-01_final.stac-item
2019-09-14 11:57:27	ga_s2am_ard_3-2-1_50HLG_2019-09-14_final.stac-item
2019-10-04 11:57:26	ga_s2am_ard_3-2-1_50HLG_2019-10-04_final.stac-item
2019-10-21 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-10-21_final.stac-item
2019-11-03 11:57:26	ga_s2am_ard_3-2-1_50HLG_2019-11-03_final.stac-item
2019-11-13 11:57:25	ga_s2am_ard_3-2-1_50HLG_2019-11-13_final.stac-item
2019-12-23 11:57:17	ga_s2am_ard_3-2-1_50HLG_2019-12-23_final.stac-item
2019-12-30 11:47:21	ga_s2am_ard_3-2-1_50HLG_2019-12-30_final.stac-item
2020-01-02 11:57:18	ga_s2am_ard_3-2-1_50HLG_2020-01-02_final.stac-item
2020-01-12 11:57:17	ga_s2am_ard_3-2-1_50HLG_2020-01-12_final.stac-item
2020-01-19 11:47:21	ga_s2am_ard_3-2-1_50HLG_2020-01-19_final.stac-item
2020-01-22 11:57:17	ga_s2am_ard_3-2-1_50HLG_2020-01-22_final.stac-item
2020-01-29 11:47:20	ga_s2am_ard_3-2-1_50HLG_2020-01-29_final.stac-item
2020-02-01 11:57:15	ga_s2am_ard_3-2-1_50HLG_2020-02-01_final.stac-item
2020-02-21 11:57:17	ga_s2am_ard_3-2-1_50HLG_2020-02-21_final.stac-item
2020-04-08 11:47:27	ga_s2am_ard_3-2-1_50HLG_2020-04-08_final.stac-item
2020-04-11 11:57:21	ga_s2am_ard_3-2-1_50HLG_2020-04-11_final.stac-item
2020-05-08 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-05-08_final.stac-item
2020-05-11 11:57:28	ga_s2am_ard_3-2-1_50HLG_2020-05-11_final.stac-item
2020-05-18 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-05-18_final.stac-item
2020-06-07 11:47:34	ga_s2am_ard_3-2-1_50HLG_2020-06-07_final.stac-item
2020-06-20 11:57:29	ga_s2am_ard_3-2-1_50HLG_2020-06-20_final.stac-item
2020-06-30 11:57:28	ga_s2am_ard_3-2-1_50HLG_2020-06-30_final.stac-item
2020-07-10 11:57:27	ga_s2am_ard_3-2-1_50HLG_2020-07-10_final.stac-item
2020-07-27 11:47:32	ga_s2am_ard_3-2-1_50HLG_2020-07-27_final.stac-item
2020-07-30 11:57:29	ga_s2am_ard_3-2-1_50HLG_2020-07-30_final.stac-item
2020-08-09 11:57:29	ga_s2am_ard_3-2-1_50HLG_2020-08-09_final.stac-item
2020-09-15 11:47:32	ga_s2am_ard_3-2-1_50HLG_2020-09-15_final.stac-item
2020-10-25 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-10-25_final.stac-item
2020-11-14 11:47:30	ga_s2am_ard_3-2-1_50HLG_2020-11-14_final.stac-item
2020-11-27 11:57:24	ga_s2am_ard_3-2-1_50HLG_2020-11-27_final.stac-item
2020-12-14 11:47:25	ga_s2am_ard_3-2-1_50HLG_2020-12-14_final.stac-item
2023-08-11 11:47:19	ga_s2am_ard_3-2-1_50HLH_2023-08-11_final.stac-item
2023-08-24 11:56:39	ga_s2am_ard_3-2-1_49JGF_2023-08-24_nrt.stac-item
2023-08-24 11:56:49	ga_s2am_ard_3-2-1_50HKK_2023-08-24_nrt.stac-item
2023-08-24 11:56:51	ga_s2am_ard_3-2-1_49HGE_2023-08-24_nrt.stac-item
2023-08-24 11:57:01	ga_s2am_ard_3-2-1_50HKJ_2023-08-24_nrt.stac-item
2023-08-24 11:57:02	ga_s2am_ard_3-2-1_49HGD_2023-08-24_nrt.stac-item
2023-08-24 11:57:07	ga_s2am_ard_3-2-1_50HKJ_2023-08-24_nrt.stac-item
2023-08-24 11:57:09	ga_s2am_ard_3-2-1_49HGD_2023-08-24_nrt.stac-item
2023-08-24 11:57:18	ga_s2am_ard_3-2-1_50HKH_2023-08-24_nrt.stac-item
2023-08-24 11:57:20	ga_s2am_ard_3-2-1_49HGC_2023-08-24_nrt.stac-item
2023-08-24 11:57:28	ga_s2am_ard_3-2-1_49HFC_2023-08-24_nrt.stac-item
2023-08-24 11:57:31	ga_s2am_ard_3-2-1_49HGB_2023-08-24_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

All years