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_50HMH_2015-11-14_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JKP_2015-11-14_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KKA_2016-03-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HLH_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50KQC_2016-03-20_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50KKA_2016-04-15_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HLH_2016-04-19_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HPJ_2016-05-16_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50JPL_2016-05-16_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HMH_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KNC_2016-05-22_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50KKB_2016-12-31_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HNJ_2017-02-03_final
2017-05-20 12:03:50	ga_s2am_ard_3-2-1_49KHS_2017-05-20_final.stac-item
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_49JGM_2017-05-20_final
2017-07-22 12:13:45	ga_s2am_ard_3-2-1_49KHQ_2017-07-22_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JML_2017-10-24_final
2018-01-25 12:02:44	ga_s2am_ard_3-2-1_50KKB_2018-01-25_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHP_2018-06-04_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50HNK_2018-06-11_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-07-17_final.stac-item
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HPH_2018-07-28_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HLJ_2018-07-31_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHR_2018-08-06_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50HQG_2018-09-13_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-11-01_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HQG_2018-11-02_final.stac-item
2018-11-11 12:03:15	ga_s2am_ard_3-2-1_50KNC_2018-11-11_final
2018-11-21 12:04:56	ga_s2am_ard_3-2-1_49JGM_2018-11-21_final
2018-12-18 11:52:23	ga_s2am_ard_3-2-1_50KQF_2018-12-18_final.stac-item
2019-01-17 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2019-01-17_final
2019-01-27 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2019-01-27_final
2019-02-26 11:57:05	ga_s2am_ard_3-2-1_50HLH_2019-02-26_final
2019-04-20 12:04:02	ga_s2am_ard_3-2-1_50KKA_2019-04-20_final
2019-06-30 11:37:26	ga_s2am_ard_3-2-1_50HPG_2019-06-30_final.stac-item
2019-07-10 11:37:31	ga_s2am_ard_3-2-1_50HNG_2019-07-10_final.stac-item
2019-09-01 11:46:38	ga_s2am_ard_3-2-1_50HNK_2019-09-01_final
2019-12-30 11:47:15	ga_s2am_ard_3-2-1_50HNG_2019-12-30_final.stac-item
2020-01-09 11:47:11	ga_s2am_ard_3-2-1_50HPG_2020-01-09_final.stac-item
2020-02-08 11:43:43	ga_s2am_ard_3-2-1_50KQA_2020-02-08_final
2020-03-25 12:03:40	ga_s2am_ard_3-2-1_50KKB_2020-03-25_final
2020-04-18 11:46:19	ga_s2am_ard_3-2-1_50JPL_2020-04-18_final
2020-04-28 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2020-04-28_final
2020-06-03 12:03:50	ga_s2am_ard_3-2-1_50KKB_2020-06-03_final
2020-07-23 12:03:49	ga_s2am_ard_3-2-1_50KKB_2020-07-23_final
2020-07-30 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-07-30_final
2020-09-05 11:47:29	ga_s2am_ard_3-2-1_50HMG_2020-09-05_final.stac-item
2020-10-04 12:14:00	ga_s2am_ard_3-2-1_50KKA_2020-10-04_final
2020-10-28 11:52:43	ga_s2am_ard_3-2-1_50KPF_2020-10-28_final.stac-item
2020-11-20 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2020-11-20_final
2020-12-10 12:04:57	ga_s2am_ard_3-2-1_49JGM_2020-12-10_final
2020-12-17 11:57:04	ga_s2am_ard_3-2-1_50HMH_2020-12-17_final
2021-01-03 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-01-03_final
2021-01-10 11:37:18	ga_s2am_ard_3-2-1_50HQG_2021-01-10_final.stac-item
2021-01-16 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-01-16_final
2021-01-16 11:57:07	ga_s2am_ard_3-2-1_50HMH_2021-01-16_final
2021-03-07 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-03-07_final
2021-04-22 12:13:50	ga_s2am_ard_3-2-1_50KKA_2021-04-22_final
2021-06-02 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-06-02_final
2021-08-08 11:37:09	ga_s2am_ard_3-2-1_50HPH_2021-08-08_final
2021-08-11 11:47:09	ga_s2am_ard_3-2-1_50HNH_2021-08-11_final
2021-08-27 12:05:43	ga_s2am_ard_3-2-1_50JKP_2021-08-27_final
2021-10-06 12:06:00	ga_s2am_ard_3-2-1_50JKN_2021-10-06_final
2021-12-02 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-12-02_final
2022-01-04 12:05:31	ga_s2am_ard_3-2-1_49JGK_2022-01-04_final
2022-02-04 11:37:26	ga_s2am_ard_3-2-1_50HNG_2022-02-04_final.stac-item
2022-02-06 12:13:54	ga_s2am_ard_3-2-1_50KKA_2022-02-06_final
2022-02-23 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2022-02-23_final
2022-06-30 11:53:30	ga_s2am_ard_3-2-1_50KQC_2022-06-30_final
2022-08-06 11:46:52	ga_s2am_ard_3-2-1_50HMK_2022-08-06_final
2022-09-05 11:45:29	ga_s2am_ard_3-2-1_50JQQ_2022-09-05_final.stac-item
2022-09-11 12:06:02	ga_s2am_ard_3-2-1_50JLN_2022-09-11_final.stac-item
2022-09-25 11:46:50	ga_s2am_ard_3-2-1_50HQJ_2022-09-25_final.stac-item
2022-10-04 12:14:01	ga_s2am_ard_3-2-1_50KKA_2022-10-04_final.stac-item
2022-10-05 11:47:02	ga_s2am_ard_3-2-1_50HMJ_2022-10-05_final.stac-item
2022-10-11 12:04:42	ga_s2am_ard_3-2-1_50JMT_2022-10-11_final.stac-item
2022-12-24 11:47:22	ga_s2am_ard_3-2-1_50HMG_2022-12-24_final.stac-item
2023-01-19 12:03:36	ga_s2am_ard_3-2-1_50KLB_2023-01-19_final.stac-item
2023-01-26 11:53:16	ga_s2am_ard_3-2-1_50KPC_2023-01-26_final.stac-item
2023-01-30 11:37:24	ga_s2am_ard_3-2-1_50HNG_2023-01-30_final.stac-item
2023-02-01 12:13:52	ga_s2am_ard_3-2-1_50KKA_2023-02-01_final.stac-item
2023-02-05 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2023-02-05_final.stac-item
2023-02-25 11:57:03	ga_s2am_ard_3-2-1_50HMH_2023-02-25_final.stac-item
2023-03-11 11:37:13	ga_s2am_ard_3-2-1_50HQG_2023-03-11_final.stac-item
2023-04-03 11:44:44	ga_s2am_ard_3-2-1_50JRS_2023-04-03_final.stac-item
2023-05-10 11:37:02	ga_s2am_ard_3-2-1_50HQH_2023-05-10_final.stac-item
2023-06-05 11:56:00	ga_s2am_ard_3-2-1_50JLN_2023-06-05_final.stac-item
2023-06-15 11:52:38	ga_s2am_ard_3-2-1_50KQF_2023-06-15_final.stac-item
2023-07-28 12:05:43	ga_s2am_ard_3-2-1_50JLP_2023-07-28_final.stac-item
2023-09-09 12:14:03	ga_s2am_ard_3-2-1_49KGR_2023-09-09_final.stac-item
2023-11-09 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-11-09_final.stac-item
2023-11-29 11:46:29	ga_s2am_ard_3-2-1_50HNK_2023-11-29_final.stac-item
2023-11-29 11:47:16	ga_s2am_ard_3-2-1_50HMG_2023-11-29_final.stac-item
2023-12-18 12:14:52	ga_s2am_ard_3-2-1_49JGM_2023-12-18_final.stac-item
2023-12-19 11:47:17	ga_s2am_ard_3-2-1_50HNG_2023-12-19_final.stac-item
2024-01-24 12:05:49	ga_s2am_ard_3-2-1_50JKN_2024-01-24_final.stac-item
2024-02-07 11:47:20	ga_s2am_ard_3-2-1_50HMG_2024-02-07_final.stac-item
2024-04-30 11:55:56	ga_s2am_ard_3-2-1_50JKN_2024-04-30_final.stac-item
2024-05-10 11:57:09	ga_s2am_ard_3-2-1_50HMH_2024-05-10_final.stac-item
2024-05-17 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2024-05-17_nrt.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