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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49JHM_2015-10-08_final.stac-item
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49JGM_2015-10-21_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KHR_2015-10-28_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KHP_2015-11-30_final.stac-item
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49JGN_2015-11-30_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49KGP_2015-12-17_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HLJ_2016-04-02_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JHM_2016-04-15_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JHM_2016-05-05_final.stac-item
2016-06-14 12:03:51	ga_s2am_ard_3-2-1_49KHR_2016-06-14_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2016-08-26_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGM_2016-09-12_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JHN_2016-09-12_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_49JHM_2016-09-22_final.stac-item
2016-09-25 12:13:39	ga_s2am_ard_3-2-1_49KHQ_2016-09-25_final.stac-item
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49KHR_2017-03-11_final
2017-03-21 12:03:40	ga_s2am_ard_3-2-1_49KHR_2017-03-21_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49JHN_2017-03-31_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49KHQ_2017-03-31_final.stac-item
2017-04-27 11:56:35	ga_s2am_ard_3-2-1_50HMH_2017-04-27_final
2017-05-03 12:13:46	ga_s2am_ard_3-2-1_49KHQ_2017-05-03_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JGM_2017-05-30_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49KGQ_2017-05-30_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49KGQ_2017-06-02_final
2017-08-31 12:13:43	ga_s2am_ard_3-2-1_49KGR_2017-08-31_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49KHR_2017-09-07_final
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_49JHM_2018-01-15_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50HMK_2018-02-21_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HMH_2018-03-10_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HLJ_2018-03-13_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HLJ_2018-04-12_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HMJ_2018-04-12_final
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49KHS_2018-05-08_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGK_2018-05-15_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGM_2018-09-02_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JHN_2018-09-02_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-11-01_final
2019-01-23 12:13:51	ga_s2am_ard_3-2-1_49KHR_2019-01-23_final
2019-02-16 11:56:37	ga_s2am_ard_3-2-1_50HLK_2019-02-16_final
2019-02-26 11:56:36	ga_s2am_ard_3-2-1_50HLK_2019-02-26_final
2019-03-18 11:57:06	ga_s2am_ard_3-2-1_50HLH_2019-03-18_final
2019-03-31 12:05:09	ga_s2am_ard_3-2-1_49JGM_2019-03-31_final
2019-04-17 11:56:39	ga_s2am_ard_3-2-1_50HMK_2019-04-17_final
2019-05-13 12:15:00	ga_s2am_ard_3-2-1_49JGM_2019-05-13_final
2019-05-13 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-05-13_final
2019-06-06 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2019-06-06_final
2019-06-19 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-06-19_final
2019-09-04 11:57:06	ga_s2am_ard_3-2-1_50HMH_2019-09-04_final
2019-09-10 12:14:54	ga_s2am_ard_3-2-1_49JGM_2019-09-10_final
2019-09-14 11:56:39	ga_s2am_ard_3-2-1_50HLK_2019-09-14_final
2019-09-27 12:04:00	ga_s2am_ard_3-2-1_49KHR_2019-09-27_final
2019-09-27 12:04:43	ga_s2am_ard_3-2-1_49JHN_2019-09-27_final
2019-10-07 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2019-10-07_final
2019-10-10 12:14:29	ga_s2am_ard_3-2-1_49KGP_2019-10-10_final
2020-04-07 12:14:18	ga_s2am_ard_3-2-1_49KHP_2020-04-07_final
2020-04-11 11:56:38	ga_s2am_ard_3-2-1_50HLK_2020-04-11_final
2020-04-17 12:14:56	ga_s2am_ard_3-2-1_49JGM_2020-04-17_final
2020-05-07 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-05-07_final
2020-05-17 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-05-17_final
2020-06-10 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2020-06-10_final
2020-06-23 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-06-23_final.stac-item
2020-06-23 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-06-23_final
2020-09-04 12:14:50	ga_s2am_ard_3-2-1_49JFN_2020-09-04_final
2020-09-11 12:04:46	ga_s2am_ard_3-2-1_49JHN_2020-09-11_final
2020-09-18 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2020-09-18_final
2020-10-04 12:13:46	ga_s2am_ard_3-2-1_49KHS_2020-10-04_final.stac-item
2020-10-05 11:47:16	ga_s2am_ard_3-2-1_50HMH_2020-10-05_final
2020-10-11 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-10-11_final
2020-10-18 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-10-18_final
2020-11-17 11:56:39	ga_s2am_ard_3-2-1_50HMK_2020-11-17_final
2020-12-13 12:13:55	ga_s2am_ard_3-2-1_49KGR_2020-12-13_final
2021-02-25 11:56:40	ga_s2am_ard_3-2-1_50HLK_2021-02-25_final
2021-03-30 12:03:57	ga_s2am_ard_3-2-1_49KHR_2021-03-30_final
2021-04-02 12:13:51	ga_s2am_ard_3-2-1_49KHR_2021-04-02_final
2021-04-03 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2021-04-03_final
2021-04-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2021-04-22_final
2021-05-02 12:15:04	ga_s2am_ard_3-2-1_49JGL_2021-05-02_final
2021-05-12 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-05-12_final
2021-09-19 12:13:57	ga_s2am_ard_3-2-1_49KHR_2021-09-19_final
2021-09-20 11:47:12	ga_s2am_ard_3-2-1_50HMH_2021-09-20_final
2021-09-29 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2021-09-29_final
2021-09-29 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-09-29_final
2021-09-29 12:14:45	ga_s2am_ard_3-2-1_49JGN_2021-09-29_final
2021-10-23 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2021-10-23_final
2021-12-02 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-12-02_final
2022-06-13 12:05:25	ga_s2am_ard_3-2-1_49JGL_2022-06-13_final
2022-07-16 12:15:23	ga_s2am_ard_3-2-1_49JGL_2022-07-16_final
2022-07-30 11:56:50	ga_s2am_ard_3-2-1_50HLK_2022-07-30_final
2022-09-01 12:04:55	ga_s2am_ard_3-2-1_49JHN_2022-09-01_final.stac-item
2022-11-07 11:56:44	ga_s2am_ard_3-2-1_50HLK_2022-11-07_final.stac-item
2023-01-09 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-01-09_final.stac-item
2023-03-27 11:56:35	ga_s2am_ard_3-2-1_50HMK_2023-03-27_final.stac-item
2023-04-29 12:05:15	ga_s2am_ard_3-2-1_49JGL_2023-04-29_final.stac-item
2023-09-03 11:56:42	ga_s2am_ard_3-2-1_50HMK_2023-09-03_final.stac-item
2023-10-09 12:14:21	ga_s2am_ard_3-2-1_49KHP_2023-10-09_final.stac-item
2023-10-13 11:57:20	ga_s2am_ard_3-2-1_50HLG_2023-10-13_final.stac-item
2023-10-20 11:47:14	ga_s2am_ard_3-2-1_50HLH_2023-10-20_final.stac-item
2023-11-09 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-11-09_final.stac-item
2023-11-25 12:03:39	ga_s2am_ard_3-2-1_49KHS_2023-11-25_final.stac-item
2023-12-02 11:56:47	ga_s2am_ard_3-2-1_50HLJ_2023-12-02_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