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
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGN_2016-02-15_final.stac-item
2016-05-25 12:03:53	ga_s2am_ard_3-2-1_49KHR_2016-05-25_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50KKV_2016-07-14_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HNK_2016-09-06_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49JFM_2016-11-04_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50JLL_2016-12-28_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50JLN_2017-02-16_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50JNL_2017-05-27_final
2017-12-13 11:56:02	ga_s2am_ard_3-2-1_50JMM_2017-12-13_final
2018-01-22 11:56:02	ga_s2am_ard_3-2-1_50HNK_2018-01-22_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_50KKA_2018-03-19_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50KMB_2018-05-25_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JLN_2018-06-21_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JKT_2018-07-14_final
2018-07-31 11:48:16	ga_s2am_ard_3-2-1_50KNC_2018-07-31_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_50KNC_2018-08-13_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HLH_2018-09-19_final
2019-02-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2019-02-22_final
2019-02-23 11:47:13	ga_s2am_ard_3-2-1_50HPG_2019-02-23_final.stac-item
2019-03-11 12:04:00	ga_s2am_ard_3-2-1_50KKA_2019-03-11_final
2019-03-15 11:45:28	ga_s2am_ard_3-2-1_50JQP_2019-03-15_final
2019-03-21 12:03:57	ga_s2am_ard_3-2-1_49KHR_2019-03-21_final
2019-03-25 11:47:16	ga_s2am_ard_3-2-1_50HPG_2019-03-25_final.stac-item
2019-04-20 12:04:31	ga_s2am_ard_3-2-1_50KKU_2019-04-20_final
2019-04-20 12:05:44	ga_s2am_ard_3-2-1_50JKP_2019-04-20_final
2019-04-30 12:04:31	ga_s2am_ard_3-2-1_49KHP_2019-04-30_final
2019-05-07 11:56:34	ga_s2am_ard_3-2-1_50HNK_2019-05-07_final
2019-05-17 11:55:24	ga_s2am_ard_3-2-1_50JNQ_2019-05-17_final
2019-05-30 12:04:27	ga_s2am_ard_3-2-1_50KLU_2019-05-30_final
2019-07-30 11:37:22	ga_s2am_ard_3-2-1_50HQG_2019-07-30_final.stac-item
2019-10-01 11:46:24	ga_s2am_ard_3-2-1_50JNL_2019-10-01_final
2019-10-04 11:55:58	ga_s2am_ard_3-2-1_50JLN_2019-10-04_final
2019-10-17 12:04:46	ga_s2am_ard_3-2-1_50JKT_2019-10-17_final
2019-10-17 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-10-17_final
2019-12-19 12:14:21	ga_s2am_ard_3-2-1_49KGP_2019-12-19_final
2019-12-30 11:45:59	ga_s2am_ard_3-2-1_50JPM_2019-12-30_final
2020-01-12 11:56:20	ga_s2am_ard_3-2-1_50JLL_2020-01-12_final
2020-02-04 12:04:23	ga_s2am_ard_3-2-1_49KGP_2020-02-04_final
2020-02-08 11:46:40	ga_s2am_ard_3-2-1_50HPJ_2020-02-08_final
2020-03-08 12:13:50	ga_s2am_ard_3-2-1_50KKA_2020-03-08_final
2020-04-17 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2020-04-17_final
2020-05-11 11:56:27	ga_s2am_ard_3-2-1_50JML_2020-05-11_final
2020-05-18 11:46:35	ga_s2am_ard_3-2-1_50HQK_2020-05-18_final
2020-06-27 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2020-06-27_final
2020-07-04 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2020-07-04_final
2020-07-23 12:03:32	ga_s2am_ard_3-2-1_50KLC_2020-07-23_final
2020-08-22 12:04:30	ga_s2am_ard_3-2-1_50KLU_2020-08-22_final
2020-10-11 12:04:48	ga_s2am_ard_3-2-1_50JKT_2020-10-11_final
2020-11-01 11:36:39	ga_s2am_ard_3-2-1_50HQK_2020-11-01_final
2020-12-10 12:04:28	ga_s2am_ard_3-2-1_49KGP_2020-12-10_final
2020-12-30 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2020-12-30_final
2021-01-09 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-01-09_final
2021-03-17 11:56:25	ga_s2am_ard_3-2-1_50JLL_2021-03-17_final
2021-04-23 11:46:11	ga_s2am_ard_3-2-1_50JQL_2021-04-23_final
2021-07-08 12:03:29	ga_s2am_ard_3-2-1_50KLC_2021-07-08_final
2021-07-08 12:04:02	ga_s2am_ard_3-2-1_49KHR_2021-07-08_final
2021-08-08 11:37:05	ga_s2am_ard_3-2-1_50HQH_2021-08-08_final
2021-08-30 12:14:14	ga_s2am_ard_3-2-1_49KGQ_2021-08-30_final
2021-10-07 11:37:18	ga_s2am_ard_3-2-1_50HPH_2021-10-07_final
2021-11-12 11:55:58	ga_s2am_ard_3-2-1_50JLN_2021-11-12_final
2021-11-15 12:04:32	ga_s2am_ard_3-2-1_49KGP_2021-11-15_final
2021-12-09 11:46:03	ga_s2am_ard_3-2-1_50JPM_2021-12-09_final
2022-02-10 11:56:39	ga_s2am_ard_3-2-1_50HLK_2022-02-10_final
2022-02-27 11:46:37	ga_s2am_ard_3-2-1_50HPK_2022-02-27_final
2022-03-25 12:05:00	ga_s2am_ard_3-2-1_50JKS_2022-03-25_final
2022-03-29 11:45:27	ga_s2am_ard_3-2-1_50JNQ_2022-03-29_final
2022-04-04 12:03:21	ga_s2am_ard_3-2-1_50KNC_2022-04-04_final
2022-04-11 11:55:51	ga_s2am_ard_3-2-1_50JNN_2022-04-11_final
2022-05-04 12:04:36	ga_s2am_ard_3-2-1_49KGP_2022-05-04_final
2022-06-07 11:46:38	ga_s2am_ard_3-2-1_50HQK_2022-06-07_final
2022-07-27 11:47:12	ga_s2am_ard_3-2-1_50HPH_2022-07-27_final
2022-07-27 11:47:16	ga_s2am_ard_3-2-1_50HNH_2022-07-27_final
2022-08-09 11:56:23	ga_s2am_ard_3-2-1_50JLM_2022-08-09_final
2022-10-15 11:45:58	ga_s2am_ard_3-2-1_50JNN_2022-10-15_final.stac-item
2022-10-21 12:04:01	ga_s2am_ard_3-2-1_49KHR_2022-10-21_final.stac-item
2022-11-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2022-11-30_final.stac-item
2023-01-29 12:05:13	ga_s2am_ard_3-2-1_49JGL_2023-01-29_final.stac-item
2023-01-30 11:37:01	ga_s2am_ard_3-2-1_50HQH_2023-01-30_final.stac-item
2023-03-21 11:37:01	ga_s2am_ard_3-2-1_50HQH_2023-03-21_final.stac-item
2023-05-19 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2023-05-19_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 12:05:33	ga_s2am_ard_3-2-1_49JGK_2023-06-08_final.stac-item
2023-07-28 12:05:20	ga_s2am_ard_3-2-1_49JGL_2023-07-28_final.stac-item
2023-08-27 12:04:52	ga_s2am_ard_3-2-1_49JGN_2023-08-27_final.stac-item
2023-09-30 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2023-09-30_final.stac-item
2023-10-09 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-10-09_final.stac-item
2023-10-26 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2023-10-26_final.stac-item
2023-10-26 12:04:42	ga_s2am_ard_3-2-1_49JHN_2023-10-26_final.stac-item
2023-10-27 11:36:38	ga_s2am_ard_3-2-1_50HPK_2023-10-27_final.stac-item
2023-10-29 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-10-29_final.stac-item
2023-11-12 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-11-12_final.stac-item
2023-11-28 12:13:47	ga_s2am_ard_3-2-1_49KHR_2023-11-28_final.stac-item
2023-12-12 11:55:42	ga_s2am_ard_3-2-1_50JKP_2023-12-12_final.stac-item
2023-12-26 11:37:18	ga_s2am_ard_3-2-1_50HPG_2023-12-26_final.stac-item
2024-01-07 12:13:50	ga_s2am_ard_3-2-1_49KHR_2024-01-07_final.stac-item
2024-01-11 11:55:22	ga_s2am_ard_3-2-1_50JLQ_2024-01-11_final.stac-item
2024-01-14 12:04:25	ga_s2am_ard_3-2-1_49KGP_2024-01-14_final.stac-item
2024-01-15 11:36:13	ga_s2am_ard_3-2-1_50JQL_2024-01-15_final.stac-item
2024-03-04 12:05:52	ga_s2am_ard_3-2-1_50JLN_2024-03-04_final.stac-item
2024-03-08 11:45:47	ga_s2am_ard_3-2-1_50JQN_2024-03-08_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