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
2016-02-12 11:56:22	ga_s2am_ard_3-2-1_50JLL_2016-02-12_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JML_2016-03-20_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JNN_2016-05-29_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JGN_2016-06-07_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HMH_2016-12-25_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KHS_2017-12-16_final.stac-item
2017-12-29 12:14:35	ga_s2am_ard_3-2-1_49JGM_2017-12-29_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HMG_2017-12-30_final.stac-item
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50HLH_2018-02-21_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGM_2018-03-26_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50JNL_2018-04-19_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50JNL_2018-04-29_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50HMJ_2018-05-02_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HNK_2018-05-29_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HNK_2018-07-08_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HQH_2018-07-15_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_50HPH_2018-07-25_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPG_2018-09-03_final.stac-item
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPJ_2018-09-03_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50JML_2018-09-06_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50JNL_2018-09-06_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50JKN_2018-09-09_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNH_2018-10-16_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HLH_2018-10-19_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HLG_2018-10-26_final.stac-item
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50JPL_2018-11-05_final
2018-11-11 12:05:36	ga_s2am_ard_3-2-1_50JKP_2018-11-11_final
2018-12-01 12:06:01	ga_s2am_ard_3-2-1_50JKM_2018-12-01_final
2019-01-07 11:55:51	ga_s2am_ard_3-2-1_50JLN_2019-01-07_final
2019-01-14 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2019-01-14_final
2019-02-03 11:46:59	ga_s2am_ard_3-2-1_50HPH_2019-02-03_final
2019-02-23 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-02-23_final
2019-05-10 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-05-10_final.stac-item
2019-05-23 12:13:43	ga_s2am_ard_3-2-1_49KHS_2019-05-23_final.stac-item
2019-05-30 12:05:58	ga_s2am_ard_3-2-1_50JKN_2019-05-30_final
2019-06-19 12:05:59	ga_s2am_ard_3-2-1_50JKN_2019-06-19_final
2019-06-30 11:37:11	ga_s2am_ard_3-2-1_50HPH_2019-06-30_final
2019-07-03 11:46:39	ga_s2am_ard_3-2-1_50HPK_2019-07-03_final
2019-07-06 11:56:04	ga_s2am_ard_3-2-1_50JKN_2019-07-06_final
2019-09-01 11:46:38	ga_s2am_ard_3-2-1_50HNK_2019-09-01_final
2019-09-08 11:37:25	ga_s2am_ard_3-2-1_50HNG_2019-09-08_final.stac-item
2019-09-28 11:37:22	ga_s2am_ard_3-2-1_50HPG_2019-09-28_final.stac-item
2019-10-11 11:46:29	ga_s2am_ard_3-2-1_50JML_2019-10-11_final
2019-10-11 11:46:40	ga_s2am_ard_3-2-1_50HNK_2019-10-11_final
2019-11-06 12:05:58	ga_s2am_ard_3-2-1_50JKN_2019-11-06_final
2019-11-23 11:57:02	ga_s2am_ard_3-2-1_50HMH_2019-11-23_final
2019-12-30 11:47:19	ga_s2am_ard_3-2-1_50HMG_2019-12-30_final.stac-item
2020-01-06 11:37:15	ga_s2am_ard_3-2-1_50HPG_2020-01-06_final.stac-item
2020-01-09 11:46:17	ga_s2am_ard_3-2-1_50JNL_2020-01-09_final
2020-01-25 12:05:34	ga_s2am_ard_3-2-1_50JKP_2020-01-25_final
2020-02-14 12:05:34	ga_s2am_ard_3-2-1_50JKP_2020-02-14_final
2020-03-19 11:46:34	ga_s2am_ard_3-2-1_50HNK_2020-03-19_final
2020-05-28 11:47:23	ga_s2am_ard_3-2-1_50HPG_2020-05-28_final.stac-item
2020-06-27 11:46:39	ga_s2am_ard_3-2-1_50HPK_2020-06-27_final
2020-06-27 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2020-06-27_final
2020-07-03 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-07-03_final
2020-07-23 12:05:57	ga_s2am_ard_3-2-1_50JLN_2020-07-23_final
2020-10-11 12:05:57	ga_s2am_ard_3-2-1_50JLN_2020-10-11_final
2020-10-14 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-10-14_final
2020-10-25 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-10-25_final
2020-10-28 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-10-28_final
2020-12-20 12:05:39	ga_s2am_ard_3-2-1_50JKP_2020-12-20_final
2020-12-20 12:05:50	ga_s2am_ard_3-2-1_50JLN_2020-12-20_final
2021-01-03 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-01-03_final
2021-01-16 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-01-16_final.stac-item
2021-01-19 12:05:42	ga_s2am_ard_3-2-1_50JKP_2021-01-19_final
2021-02-12 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-02-12_final
2021-02-25 11:57:05	ga_s2am_ard_3-2-1_50HMH_2021-02-25_final
2021-02-28 12:05:51	ga_s2am_ard_3-2-1_50JLN_2021-02-28_final
2021-03-30 12:03:42	ga_s2am_ard_3-2-1_49KHS_2021-03-30_final.stac-item
2021-04-09 12:05:36	ga_s2am_ard_3-2-1_50JKP_2021-04-09_final
2021-04-13 11:46:24	ga_s2am_ard_3-2-1_50HQK_2021-04-13_final
2021-04-30 11:36:35	ga_s2am_ard_3-2-1_50HPK_2021-04-30_final
2021-04-30 11:36:46	ga_s2am_ard_3-2-1_50HQJ_2021-04-30_final
2021-05-13 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-05-13_final
2021-05-26 11:55:57	ga_s2am_ard_3-2-1_50JLN_2021-05-26_final
2021-05-29 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2021-05-29_final
2021-06-18 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-06-18_final
2021-06-25 11:55:58	ga_s2am_ard_3-2-1_50JLN_2021-06-25_final
2021-07-05 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-07-05_final
2021-07-18 12:05:59	ga_s2am_ard_3-2-1_50JKN_2021-07-18_final
2021-08-31 11:47:26	ga_s2am_ard_3-2-1_50HMG_2021-08-31_final.stac-item
2021-09-06 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-09-06_final
2021-12-02 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-12-02_final
2022-01-28 11:47:14	ga_s2am_ard_3-2-1_50HLH_2022-01-28_final
2022-04-28 11:46:39	ga_s2am_ard_3-2-1_50HPK_2022-04-28_final
2022-06-10 11:56:05	ga_s2am_ard_3-2-1_50JLN_2022-06-10_final
2022-07-03 12:05:57	ga_s2am_ard_3-2-1_49JGJ_2022-07-03_final
2022-07-20 11:55:18	ga_s2am_ard_3-2-1_50JNR_2022-07-20_final
2022-09-15 11:46:47	ga_s2am_ard_3-2-1_50HNK_2022-09-15_final.stac-item
2022-10-12 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2022-10-12_final.stac-item
2022-10-25 11:46:25	ga_s2am_ard_3-2-1_50JNL_2022-10-25_final.stac-item
2022-11-13 12:15:13	ga_s2am_ard_3-2-1_49JGL_2022-11-13_final.stac-item
2022-11-14 11:47:17	ga_s2am_ard_3-2-1_50HLH_2022-11-14_final.stac-item
2023-01-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2023-01-22_final.stac-item
2023-02-05 11:55:51	ga_s2am_ard_3-2-1_50JKN_2023-02-05_final.stac-item
2023-02-22 11:47:14	ga_s2am_ard_3-2-1_50HPG_2023-02-22_final.stac-item
2023-07-12 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2023-07-12_final.stac-item
2023-11-29 11:47:13	ga_s2am_ard_3-2-1_50HNG_2023-11-29_final.stac-item
2024-02-13 12:03:42	ga_s2am_ard_3-2-1_49KHS_2024-02-13_final.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