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
2015-10-01 12:13:46	ga_s2am_ard_3-2-1_49KGR_2015-10-01_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JLM_2015-10-28_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HPG_2016-07-08_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HLJ_2016-09-19_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JKN_2016-09-19_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_49JGM_2016-10-12_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HQJ_2016-10-16_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HPJ_2016-11-15_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HNK_2016-11-28_final.stac-item
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49JGM_2017-02-12_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_50KKA_2017-03-14_final
2017-04-11 11:36:02	ga_s2am_ard_3-2-1_50JQL_2017-04-11_final
2017-04-17 11:56:08	ga_s2am_ard_3-2-1_50JKM_2017-04-17_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_50HQH_2017-04-21_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50JLT_2017-07-29_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50JLL_2017-10-04_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KHQ_2017-10-07_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50JLN_2017-11-06_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50JLT_2017-11-06_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HMG_2017-11-20_final.stac-item
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JKP_2018-03-23_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGJ_2018-05-15_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50JML_2018-06-11_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_50KKA_2018-07-07_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HQG_2018-07-15_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50JML_2018-08-17_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-10-22_final
2018-12-01 12:04:19	ga_s2am_ard_3-2-1_49KHP_2018-12-01_final
2018-12-04 12:13:46	ga_s2am_ard_3-2-1_49KHR_2018-12-04_final
2019-01-31 11:37:18	ga_s2am_ard_3-2-1_50HPG_2019-01-31_final.stac-item
2019-03-01 12:05:03	ga_s2am_ard_3-2-1_49JGL_2019-03-01_final
2019-03-05 11:46:28	ga_s2am_ard_3-2-1_50HPK_2019-03-05_final
2019-03-12 11:36:58	ga_s2am_ard_3-2-1_50HQH_2019-03-12_final
2019-03-22 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2019-03-22_final
2019-04-30 12:04:02	ga_s2am_ard_3-2-1_50KKA_2019-04-30_final
2019-05-24 11:47:05	ga_s2am_ard_3-2-1_50HPH_2019-05-24_final
2019-06-09 12:05:43	ga_s2am_ard_3-2-1_50JKP_2019-06-09_final
2019-06-13 11:46:40	ga_s2am_ard_3-2-1_50HNK_2019-06-13_final
2019-08-31 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2019-08-31_final
2019-09-17 12:05:00	ga_s2am_ard_3-2-1_49JGM_2019-09-17_final
2019-10-04 11:56:13	ga_s2am_ard_3-2-1_50JLM_2019-10-04_final
2019-10-08 11:36:36	ga_s2am_ard_3-2-1_50HQK_2019-10-08_final
2019-11-17 11:36:21	ga_s2am_ard_3-2-1_50JQL_2019-11-17_final
2019-11-20 11:46:24	ga_s2am_ard_3-2-1_50JNL_2019-11-20_final
2019-12-23 11:56:12	ga_s2am_ard_3-2-1_50JNL_2019-12-23_final
2019-12-26 12:05:50	ga_s2am_ard_3-2-1_50JKN_2019-12-26_final
2020-02-08 11:45:24	ga_s2am_ard_3-2-1_50JQP_2020-02-08_final
2020-02-18 11:46:07	ga_s2am_ard_3-2-1_50JMM_2020-02-18_final
2020-02-24 12:05:50	ga_s2am_ard_3-2-1_50JKN_2020-02-24_final
2020-03-15 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-03-15_final
2020-04-18 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2020-04-18_final
2020-05-04 12:04:46	ga_s2am_ard_3-2-1_49JHN_2020-05-04_final
2020-05-04 12:05:04	ga_s2am_ard_3-2-1_49JGM_2020-05-04_final
2020-07-04 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2020-07-04_final
2020-07-04 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2020-07-04_final
2020-07-24 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2020-07-24_final
2020-08-19 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-08-19_final
2020-08-29 11:55:47	ga_s2am_ard_3-2-1_50JLP_2020-08-29_final
2020-09-01 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-09-01_final
2020-10-14 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-10-14_final
2020-10-21 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-10-21_final
2020-10-31 12:04:04	ga_s2am_ard_3-2-1_50KKA_2020-10-31_final
2021-01-03 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-01-03_final
2021-03-30 12:04:29	ga_s2am_ard_3-2-1_49KGP_2021-03-30_final
2021-04-09 12:05:36	ga_s2am_ard_3-2-1_50JKP_2021-04-09_final
2021-04-23 11:46:49	ga_s2am_ard_3-2-1_50HQH_2021-04-23_final
2021-05-23 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-05-23_final
2021-06-28 12:04:44	ga_s2am_ard_3-2-1_50JKT_2021-06-28_final
2021-08-27 12:04:00	ga_s2am_ard_3-2-1_50KKA_2021-08-27_final
2021-09-06 12:04:40	ga_s2am_ard_3-2-1_50JLT_2021-09-06_final
2021-09-30 11:47:21	ga_s2am_ard_3-2-1_50HPG_2021-09-30_final.stac-item
2021-12-15 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-12-15_final
2022-02-20 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-02-20_final
2022-04-01 11:56:42	ga_s2am_ard_3-2-1_50HLK_2022-04-01_final
2022-05-01 11:57:14	ga_s2am_ard_3-2-1_50HLH_2022-05-01_final
2022-05-21 11:56:11	ga_s2am_ard_3-2-1_50JNM_2022-05-21_final
2022-06-03 12:05:05	ga_s2am_ard_3-2-1_49JHM_2022-06-03_final
2022-07-06 12:14:07	ga_s2am_ard_3-2-1_50KKA_2022-07-06_final
2022-09-11 12:05:54	ga_s2am_ard_3-2-1_49JGJ_2022-09-11_final.stac-item
2022-10-18 11:55:49	ga_s2am_ard_3-2-1_50JKP_2022-10-18_final.stac-item
2022-11-30 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-11-30_final.stac-item
2022-12-14 11:46:34	ga_s2am_ard_3-2-1_50HPK_2022-12-14_final.stac-item
2022-12-20 12:04:41	ga_s2am_ard_3-2-1_49JHN_2022-12-20_final.stac-item
2022-12-23 12:13:52	ga_s2am_ard_3-2-1_50KKA_2022-12-23_final.stac-item
2023-01-16 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-01-16_final.stac-item
2023-01-20 11:36:21	ga_s2am_ard_3-2-1_50JPL_2023-01-20_final.stac-item
2023-01-26 11:55:56	ga_s2am_ard_3-2-1_50JKN_2023-01-26_final.stac-item
2023-03-07 11:57:19	ga_s2am_ard_3-2-1_50HLG_2023-03-07_final.stac-item
2023-04-09 12:03:59	ga_s2am_ard_3-2-1_50KKA_2023-04-09_final.stac-item
2023-06-02 11:45:54	ga_s2am_ard_3-2-1_50JPN_2023-06-02_final.stac-item
2023-06-08 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-06-08_final.stac-item
2023-06-12 11:46:30	ga_s2am_ard_3-2-1_50JML_2023-06-12_final.stac-item
2023-08-08 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-08-08_final.stac-item
2023-09-03 11:56:01	ga_s2am_ard_3-2-1_50JLN_2023-09-03_final.stac-item
2023-09-03 11:56:31	ga_s2am_ard_3-2-1_50JLL_2023-09-03_final.stac-item
2023-09-10 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2023-09-10_final.stac-item
2023-09-16 12:04:46	ga_s2am_ard_3-2-1_49JHN_2023-09-16_final.stac-item
2023-10-20 11:46:33	ga_s2am_ard_3-2-1_50HPK_2023-10-20_final.stac-item
2023-11-05 12:05:40	ga_s2am_ard_3-2-1_50JKP_2023-11-05_final.stac-item
2024-04-03 12:05:39	ga_s2am_ard_3-2-1_50JKP_2024-04-03_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