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
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HLJ_2016-03-03_final.stac-item
2016-07-11 11:56:11	ga_s2am_ard_3-2-1_50JNL_2016-07-11_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50HLH_2016-10-29_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49JGN_2016-12-04_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_50HPJ_2017-01-01_final
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HPH_2017-02-13_final
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HQJ_2017-02-13_final
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_49JGM_2017-03-01_final
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HQK_2017-03-12_final
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_49JGL_2017-05-10_final
2017-11-03 11:56:07	ga_s2am_ard_3-2-1_50JLL_2017-11-03_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HQJ_2017-12-10_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50JKQ_2018-01-05_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HPH_2018-01-26_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50JNR_2018-02-11_final
2018-03-07 11:36:09	ga_s2am_ard_3-2-1_50JPL_2018-03-07_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HMG_2018-03-10_final.stac-item
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2018-04-18_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNK_2018-04-29_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JNM_2018-05-02_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_50JPL_2018-08-24_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50JNN_2018-08-27_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-10-02_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-10-22_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JLM_2018-10-29_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50JMM_2018-11-05_final
2018-12-01 12:05:32	ga_s2am_ard_3-2-1_50JKP_2018-12-01_final
2018-12-14 12:13:46	ga_s2am_ard_3-2-1_49KHR_2018-12-14_final
2019-01-27 11:56:22	ga_s2am_ard_3-2-1_50JLL_2019-01-27_final
2019-03-25 11:46:32	ga_s2am_ard_3-2-1_50HPK_2019-03-25_final
2019-05-04 11:47:28	ga_s2am_ard_3-2-1_50HMG_2019-05-04_final.stac-item
2019-06-19 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-06-19_final
2019-06-20 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2019-06-20_final
2019-07-09 12:05:46	ga_s2am_ard_3-2-1_50JKP_2019-07-09_final
2019-09-04 11:55:49	ga_s2am_ard_3-2-1_50JNN_2019-09-04_final
2019-10-04 11:55:51	ga_s2am_ard_3-2-1_50JNN_2019-10-04_final
2019-12-07 11:36:02	ga_s2am_ard_3-2-1_50JQM_2019-12-07_final
2019-12-13 11:55:52	ga_s2am_ard_3-2-1_50JLN_2019-12-13_final
2019-12-20 11:46:49	ga_s2am_ard_3-2-1_50HMJ_2019-12-20_final
2020-01-08 12:15:01	ga_s2am_ard_3-2-1_49JGL_2020-01-08_final
2020-01-09 11:45:55	ga_s2am_ard_3-2-1_50JQM_2020-01-09_final
2020-03-18 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2020-03-18_final
2020-03-25 12:03:41	ga_s2am_ard_3-2-1_49KHS_2020-03-25_final.stac-item
2020-05-15 11:36:31	ga_s2am_ard_3-2-1_50JPL_2020-05-15_final
2020-06-07 11:46:32	ga_s2am_ard_3-2-1_50JML_2020-06-07_final
2020-06-10 11:56:17	ga_s2am_ard_3-2-1_50JLM_2020-06-10_final
2020-06-17 11:47:27	ga_s2am_ard_3-2-1_50HNG_2020-06-17_final.stac-item
2020-07-26 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-07-26_final
2020-09-08 11:56:26	ga_s2am_ard_3-2-1_50JML_2020-09-08_final
2020-10-25 11:47:22	ga_s2am_ard_3-2-1_50HPG_2020-10-25_final.stac-item
2020-11-10 12:04:50	ga_s2am_ard_3-2-1_49JGN_2020-11-10_final
2020-11-23 12:13:56	ga_s2am_ard_3-2-1_49KHR_2020-11-23_final
2020-12-24 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2020-12-24_final
2020-12-30 12:04:46	ga_s2am_ard_3-2-1_49JGN_2020-12-30_final
2021-03-30 12:05:35	ga_s2am_ard_3-2-1_50JLP_2021-03-30_final
2021-04-26 11:57:08	ga_s2am_ard_3-2-1_50HMH_2021-04-26_final
2021-05-09 12:04:30	ga_s2am_ard_3-2-1_49KGP_2021-05-09_final
2021-05-26 11:56:23	ga_s2am_ard_3-2-1_50JML_2021-05-26_final
2021-06-05 11:56:19	ga_s2am_ard_3-2-1_50JNL_2021-06-05_final
2021-07-01 12:15:08	ga_s2am_ard_3-2-1_49JGL_2021-07-01_final
2021-07-19 11:35:54	ga_s2am_ard_3-2-1_50JQN_2021-07-19_final
2021-08-08 11:36:22	ga_s2am_ard_3-2-1_50JQL_2021-08-08_final
2021-08-11 11:46:25	ga_s2am_ard_3-2-1_50JNL_2021-08-11_final
2021-08-17 12:04:34	ga_s2am_ard_3-2-1_49KGP_2021-08-17_final
2021-09-06 12:04:32	ga_s2am_ard_3-2-1_49KGP_2021-09-06_final
2021-11-25 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-11-25_final
2021-12-19 11:47:17	ga_s2am_ard_3-2-1_50HPG_2021-12-19_final.stac-item
2022-01-04 12:04:33	ga_s2am_ard_3-2-1_49KGP_2022-01-04_final
2022-01-11 11:57:20	ga_s2am_ard_3-2-1_50HMG_2022-01-11_final.stac-item
2022-03-02 11:56:08	ga_s2am_ard_3-2-1_50JNM_2022-03-02_final
2022-03-08 12:15:04	ga_s2am_ard_3-2-1_49JFM_2022-03-08_final
2022-05-24 12:04:53	ga_s2am_ard_3-2-1_49JGN_2022-05-24_final
2022-06-23 12:04:55	ga_s2am_ard_3-2-1_49JHN_2022-06-23_final
2022-07-13 12:04:41	ga_s2am_ard_3-2-1_49KGP_2022-07-13_final
2022-08-09 11:57:35	ga_s2am_ard_3-2-1_50HLG_2022-08-09_final.stac-item
2022-09-15 11:45:17	ga_s2am_ard_3-2-1_50JPR_2022-09-15_final.stac-item
2022-10-11 12:05:20	ga_s2am_ard_3-2-1_49JGL_2022-10-11_final.stac-item
2022-11-03 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2022-11-03_final.stac-item
2022-11-10 12:05:15	ga_s2am_ard_3-2-1_50JKR_2022-11-10_final.stac-item
2022-11-23 12:14:41	ga_s2am_ard_3-2-1_49JGN_2022-11-23_final.stac-item
2022-11-30 12:04:39	ga_s2am_ard_3-2-1_50JLT_2022-11-30_final.stac-item
2022-12-27 11:57:19	ga_s2am_ard_3-2-1_50HMG_2022-12-27_final.stac-item
2023-01-22 12:13:54	ga_s2am_ard_3-2-1_49KGR_2023-01-22_final.stac-item
2023-03-03 12:13:55	ga_s2am_ard_3-2-1_49KGR_2023-03-03_final.stac-item
2023-03-10 12:04:55	ga_s2am_ard_3-2-1_49JGM_2023-03-10_final.stac-item
2023-03-24 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2023-03-24_final.stac-item
2023-05-03 11:46:41	ga_s2am_ard_3-2-1_50HMK_2023-05-03_final.stac-item
2023-05-20 11:37:09	ga_s2am_ard_3-2-1_50HPH_2023-05-20_final.stac-item
2023-07-02 11:46:24	ga_s2am_ard_3-2-1_50JPL_2023-07-02_final.stac-item
2023-07-21 12:15:14	ga_s2am_ard_3-2-1_49JGL_2023-07-21_final.stac-item
2023-08-14 11:56:16	ga_s2am_ard_3-2-1_50JLM_2023-08-14_final.stac-item
2023-09-29 12:14:58	ga_s2am_ard_3-2-1_49JGM_2023-09-29_final.stac-item
2023-11-18 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2023-11-18_final.stac-item
2023-11-29 11:46:26	ga_s2am_ard_3-2-1_50HPK_2023-11-29_final.stac-item
2023-12-22 11:56:26	ga_s2am_ard_3-2-1_50HNK_2023-12-22_final.stac-item
2024-02-03 12:04:38	ga_s2am_ard_3-2-1_49JHN_2024-02-03_final.stac-item
2024-03-01 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2024-03-01_final.stac-item
2024-03-01 11:57:20	ga_s2am_ard_3-2-1_50HMG_2024-03-01_final.stac-item
2024-03-11 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2024-03-11_final.stac-item
2024-03-21 11:56:12	ga_s2am_ard_3-2-1_50JLM_2024-03-21_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