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
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HLJ_2015-11-14_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50HMH_2015-11-21_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JNM_2016-01-20_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HLH_2016-04-19_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HPK_2016-04-19_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JPL_2016-04-29_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HQJ_2016-07-28_final.stac-item
2016-11-18 11:43:43	ga_s2am_ard_3-2-1_50KQG_2016-11-18_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HMH_2016-11-18_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HMH_2016-12-15_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50HPH_2017-07-10_final
2017-08-31 12:14:41	ga_s2am_ard_3-2-1_49JGM_2017-08-31_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JGM_2017-10-07_final
2017-10-08 11:36:06	ga_s2am_ard_3-2-1_50JQM_2017-10-08_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLH_2017-12-03_final
2018-01-15 12:03:40	ga_s2am_ard_3-2-1_50KKA_2018-01-15_final.stac-item
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMJ_2018-01-19_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HMH_2018-02-08_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HNG_2018-03-20_final.stac-item
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JMM_2018-03-23_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNK_2018-03-30_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_50JKP_2018-04-15_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HQG_2018-04-26_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGJ_2018-05-15_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50JML_2018-05-19_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HPK_2018-05-29_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JKP_2018-06-14_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HPG_2018-07-05_final.stac-item
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HNG_2018-08-07_final.stac-item
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HPG_2018-08-14_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HQK_2018-09-06_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JKP_2018-09-29_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JKP_2018-10-09_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JMM_2018-10-19_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HMG_2018-10-26_final.stac-item
2018-11-15 11:47:19	ga_s2am_ard_3-2-1_50HMG_2018-11-15_final.stac-item
2018-12-08 11:57:01	ga_s2am_ard_3-2-1_50HLH_2018-12-08_final
2018-12-24 12:14:48	ga_s2am_ard_3-2-1_49JGM_2018-12-24_final
2019-01-01 11:34:31	ga_s2am_ard_3-2-1_50JRT_2019-01-01_final
2019-01-07 11:52:15	ga_s2am_ard_3-2-1_50KQG_2019-01-07_final.stac-item
2019-02-03 11:47:11	ga_s2am_ard_3-2-1_50HLH_2019-02-03_final
2019-02-16 11:57:02	ga_s2am_ard_3-2-1_50HMH_2019-02-16_final
2019-03-01 12:03:54	ga_s2am_ard_3-2-1_49KHR_2019-03-01_final
2019-04-27 11:53:14	ga_s2am_ard_3-2-1_50KRC_2019-04-27_final
2019-06-16 11:56:00	ga_s2am_ard_3-2-1_50JLN_2019-06-16_final
2019-10-14 11:56:07	ga_s2am_ard_3-2-1_50JNM_2019-10-14_final
2019-10-24 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-10-24_final
2019-11-20 11:46:35	ga_s2am_ard_3-2-1_50HPK_2019-11-20_final
2020-01-22 11:52:28	ga_s2am_ard_3-2-1_50KQF_2020-01-22_final.stac-item
2020-03-02 11:52:15	ga_s2am_ard_3-2-1_50KQG_2020-03-02_final.stac-item
2020-03-18 12:13:50	ga_s2am_ard_3-2-1_50KKA_2020-03-18_final
2020-03-28 12:13:50	ga_s2am_ard_3-2-1_50KKA_2020-03-28_final
2020-04-18 11:46:34	ga_s2am_ard_3-2-1_50HPK_2020-04-18_final
2020-05-18 11:43:09	ga_s2am_ard_3-2-1_50KRD_2020-05-18_final
2020-05-25 11:37:27	ga_s2am_ard_3-2-1_50HPG_2020-05-25_final.stac-item
2020-05-28 11:46:40	ga_s2am_ard_3-2-1_50HPK_2020-05-28_final
2020-06-07 11:46:44	ga_s2am_ard_3-2-1_50HNK_2020-06-07_final
2020-09-11 12:03:48	ga_s2am_ard_3-2-1_50KKB_2020-09-11_final
2020-10-08 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-10-08_final
2020-12-07 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2020-12-07_final
2020-12-20 12:03:57	ga_s2am_ard_3-2-1_49KHR_2020-12-20_final
2020-12-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2020-12-30_final
2021-01-02 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-01-02_final
2021-01-03 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-01-03_final
2021-01-30 11:37:17	ga_s2am_ard_3-2-1_50HQG_2021-01-30_final.stac-item
2021-02-25 11:52:34	ga_s2am_ard_3-2-1_50KQF_2021-02-25_final.stac-item
2021-03-27 11:53:09	ga_s2am_ard_3-2-1_50KRC_2021-03-27_final
2021-03-30 12:03:42	ga_s2am_ard_3-2-1_50KKB_2021-03-30_final
2021-04-03 11:46:19	ga_s2am_ard_3-2-1_50JNL_2021-04-03_final
2021-04-20 11:37:02	ga_s2am_ard_3-2-1_50HPH_2021-04-20_final
2021-05-29 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-05-29_final
2021-06-05 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-06-05_final
2021-06-09 11:37:01	ga_s2am_ard_3-2-1_51HTC_2021-06-09_final
2021-06-15 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-06-15_final
2021-06-21 12:13:55	ga_s2am_ard_3-2-1_50KKA_2021-06-21_final
2021-07-28 12:03:23	ga_s2am_ard_3-2-1_50KNC_2021-07-28_final
2021-08-08 11:37:03	ga_s2am_ard_3-2-1_51HTC_2021-08-08_final
2021-08-31 11:43:05	ga_s2am_ard_3-2-1_50KRD_2021-08-31_final
2021-10-13 11:56:05	ga_s2am_ard_3-2-1_50JKN_2021-10-13_final
2022-03-18 12:13:43	ga_s2am_ard_3-2-1_50KKB_2022-03-18_final
2022-06-03 12:05:59	ga_s2am_ard_3-2-1_50JLN_2022-06-03_final
2022-08-03 11:36:48	ga_s2am_ard_3-2-1_50HPK_2022-08-03_final
2022-09-04 12:14:10	ga_s2am_ard_3-2-1_49KGR_2022-09-04_final.stac-item
2022-10-05 11:46:41	ga_s2am_ard_3-2-1_50HPK_2022-10-05_final.stac-item
2022-12-10 12:05:41	ga_s2am_ard_3-2-1_50JKP_2022-12-10_final.stac-item
2022-12-23 12:13:37	ga_s2am_ard_3-2-1_50KKB_2022-12-23_final.stac-item
2023-03-03 12:13:51	ga_s2am_ard_3-2-1_50KKA_2023-03-03_final.stac-item
2023-03-21 11:37:16	ga_s2am_ard_3-2-1_50HQG_2023-03-21_final.stac-item
2023-04-09 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2023-04-09_final.stac-item
2023-06-02 11:46:41	ga_s2am_ard_3-2-1_50HNK_2023-06-02_final.stac-item
2023-06-25 11:56:29	ga_s2am_ard_3-2-1_50JLL_2023-06-25_final.stac-item
2023-06-29 11:37:07	ga_s2am_ard_3-2-1_50HQH_2023-06-29_final.stac-item
2023-10-13 11:55:51	ga_s2am_ard_3-2-1_50JNN_2023-10-13_final.stac-item
2023-11-22 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2023-11-22_final.stac-item
2023-11-28 12:13:47	ga_s2am_ard_3-2-1_50KKA_2023-11-28_final.stac-item
2023-12-22 11:55:55	ga_s2am_ard_3-2-1_50JKN_2023-12-22_final.stac-item
2023-12-26 11:34:34	ga_s2am_ard_3-2-1_50JRT_2023-12-26_final.stac-item
2024-01-11 11:52:29	ga_s2am_ard_3-2-1_50KQF_2024-01-11_final.stac-item
2024-01-11 11:56:02	ga_s2am_ard_3-2-1_50JMM_2024-01-11_final.stac-item
2024-01-21 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2024-01-21_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