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
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JGM_2016-05-15_final.stac-item
2016-07-07 12:13:46	ga_s2am_ard_3-2-1_49KHR_2016-07-07_final.stac-item
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50JLM_2016-07-31_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50HMK_2016-10-09_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HNK_2016-10-26_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HNG_2016-11-12_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HLG_2016-11-15_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HLG_2016-11-18_final.stac-item
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49JGN_2017-02-12_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HPK_2017-05-24_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HLK_2017-05-27_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JGL_2017-09-07_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JGM_2017-09-17_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KHR_2017-10-07_final
2017-10-18 11:30:06	ga_s2am_ard_3-2-1_50HPK_2017-10-18_final
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_50JKP_2017-12-16_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HLH_2017-12-30_final
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_49JGM_2018-01-15_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HNK_2018-02-01_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-02-24_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNG_2018-04-29_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HPG_2018-04-29_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JKP_2018-05-05_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGJ_2018-05-15_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HPG_2018-05-29_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JKP_2018-07-04_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HNK_2018-07-08_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JKP_2018-07-14_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_50HPK_2018-07-25_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JKT_2018-08-23_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JGL_2018-10-12_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNG_2018-10-16_final.stac-item
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JKN_2018-10-29_final
2018-11-15 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2018-11-15_final
2018-11-15 11:47:04	ga_s2am_ard_3-2-1_50HMH_2018-11-15_final
2018-11-21 12:05:08	ga_s2am_ard_3-2-1_49JGL_2018-11-21_final
2018-12-01 12:03:36	ga_s2am_ard_3-2-1_49KHS_2018-12-01_final.stac-item
2018-12-18 11:56:21	ga_s2am_ard_3-2-1_50HNK_2018-12-18_final
2019-01-04 11:46:32	ga_s2am_ard_3-2-1_50HNK_2019-01-04_final
2019-03-14 12:14:23	ga_s2am_ard_3-2-1_49KGP_2019-03-14_final
2019-04-20 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-04-20_final
2019-06-06 11:55:44	ga_s2am_ard_3-2-1_50JKP_2019-06-06_final
2019-09-04 11:56:40	ga_s2am_ard_3-2-1_50HLK_2019-09-04_final
2019-09-27 12:05:02	ga_s2am_ard_3-2-1_49JGM_2019-09-27_final
2019-10-20 12:14:04	ga_s2am_ard_3-2-1_49KGR_2019-10-20_final
2019-10-31 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-10-31_final.stac-item
2020-01-09 11:46:32	ga_s2am_ard_3-2-1_50HNK_2020-01-09_final
2020-02-15 11:36:31	ga_s2am_ard_3-2-1_50HPK_2020-02-15_final
2020-03-06 11:37:17	ga_s2am_ard_3-2-1_50HPG_2020-03-06_final.stac-item
2020-03-15 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-03-15_final
2020-05-08 11:47:21	ga_s2am_ard_3-2-1_50HPG_2020-05-08_final.stac-item
2020-06-23 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-06-23_final
2020-07-07 11:47:25	ga_s2am_ard_3-2-1_50HMG_2020-07-07_final.stac-item
2020-07-20 11:57:25	ga_s2am_ard_3-2-1_50HMG_2020-07-20_final.stac-item
2020-08-12 12:05:47	ga_s2am_ard_3-2-1_50JKP_2020-08-12_final
2020-10-08 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-10-08_final
2020-10-11 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-10-11_final
2020-10-25 11:47:29	ga_s2am_ard_3-2-1_50HMG_2020-10-25_final.stac-item
2020-10-28 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-10-28_final
2020-10-31 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-10-31_final
2020-11-11 11:36:42	ga_s2am_ard_3-2-1_50HPK_2020-11-11_final
2020-12-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2020-12-30_final
2021-01-02 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-01-02_final
2021-01-22 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-01-22_final
2021-01-26 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-01-26_final
2021-02-05 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2021-02-05_final
2021-02-08 12:05:11	ga_s2am_ard_3-2-1_50JKR_2021-02-08_final
2021-02-15 11:55:58	ga_s2am_ard_3-2-1_50JKN_2021-02-15_final
2021-02-19 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2021-02-19_final
2021-03-07 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-03-07_final
2021-03-24 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2021-03-24_final
2021-03-30 12:04:58	ga_s2am_ard_3-2-1_49JGM_2021-03-30_final
2021-03-30 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2021-03-30_final
2021-04-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2021-04-22_final
2021-06-02 11:47:18	ga_s2am_ard_3-2-1_50HPG_2021-06-02_final.stac-item
2021-06-05 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-06-05_final
2021-06-22 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2021-06-22_final
2021-07-08 12:04:34	ga_s2am_ard_3-2-1_49KGP_2021-07-08_final
2021-08-07 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-08-07_final
2021-08-11 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2021-08-11_final
2021-09-16 12:05:42	ga_s2am_ard_3-2-1_50JKP_2021-09-16_final
2021-10-07 11:37:18	ga_s2am_ard_3-2-1_50HPH_2021-10-07_final
2021-10-19 12:15:16	ga_s2am_ard_3-2-1_49JGL_2021-10-19_final
2022-01-07 12:13:56	ga_s2am_ard_3-2-1_49KHR_2022-01-07_final
2022-03-09 11:47:30	ga_s2am_ard_3-2-1_50HMG_2022-03-09_final.stac-item
2022-05-14 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-05-14_final
2022-05-24 12:05:08	ga_s2am_ard_3-2-1_49JGM_2022-05-24_final
2022-06-04 11:37:11	ga_s2am_ard_3-2-1_50HQH_2022-06-04_final
2022-06-06 12:14:02	ga_s2am_ard_3-2-1_49KHR_2022-06-06_final
2022-06-26 12:13:52	ga_s2am_ard_3-2-1_49KHS_2022-06-26_final.stac-item
2022-07-07 11:47:30	ga_s2am_ard_3-2-1_50HPG_2022-07-07_final.stac-item
2022-07-30 11:57:07	ga_s2am_ard_3-2-1_50HLJ_2022-07-30_final
2022-08-03 11:37:17	ga_s2am_ard_3-2-1_50HPH_2022-08-03_final
2022-09-02 11:37:33	ga_s2am_ard_3-2-1_50HPG_2022-09-02_final.stac-item
2022-12-14 11:47:24	ga_s2am_ard_3-2-1_50HMG_2022-12-14_final.stac-item
2023-01-19 12:05:36	ga_s2am_ard_3-2-1_50JKP_2023-01-19_final.stac-item
2023-02-12 11:47:22	ga_s2am_ard_3-2-1_50HMG_2023-02-12_final.stac-item
2023-04-29 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2023-04-29_final.stac-item
2023-06-22 11:46:41	ga_s2am_ard_3-2-1_50HNK_2023-06-22_final.stac-item
2023-10-23 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2023-10-23_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