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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KGP_2015-10-28_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HNK_2015-11-14_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGL_2016-02-05_final.stac-item
2016-04-08 12:14:44	ga_s2am_ard_3-2-1_49JGL_2016-04-08_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49KHP_2016-06-24_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KGP_2016-07-14_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_50JKP_2016-11-01_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HNG_2016-11-15_final.stac-item
2016-12-24 12:14:52	ga_s2am_ard_3-2-1_49JGL_2016-12-24_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50JKN_2017-02-16_final
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JKN_2017-02-26_final
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JLT_2017-03-18_final
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JGL_2017-05-23_final
2017-08-11 12:13:45	ga_s2am_ard_3-2-1_49KHR_2017-08-11_final
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_50JLP_2017-11-26_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HNK_2017-12-23_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JLM_2018-01-12_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JMP_2018-02-01_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-03-19_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HNJ_2018-05-29_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JLL_2018-06-01_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HQJ_2018-06-08_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JML_2018-06-21_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HPJ_2018-07-15_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_50JKP_2018-09-12_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-11-01_final
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49KHR_2018-11-04_final
2018-11-08 11:57:19	ga_s2am_ard_3-2-1_50HLG_2018-11-08_final.stac-item
2018-11-15 11:46:37	ga_s2am_ard_3-2-1_50HQJ_2018-11-15_final
2018-12-08 11:55:59	ga_s2am_ard_3-2-1_50JMM_2018-12-08_final
2019-01-04 11:46:32	ga_s2am_ard_3-2-1_50HNK_2019-01-04_final
2019-01-14 11:47:20	ga_s2am_ard_3-2-1_50HMG_2019-01-14_final.stac-item
2019-01-27 11:57:20	ga_s2am_ard_3-2-1_50HLG_2019-01-27_final.stac-item
2019-02-19 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2019-02-19_final
2019-04-03 12:15:00	ga_s2am_ard_3-2-1_49JFM_2019-04-03_final
2019-04-03 12:15:10	ga_s2am_ard_3-2-1_49JGL_2019-04-03_final
2019-05-30 12:04:07	ga_s2am_ard_3-2-1_49KHR_2019-05-30_final
2019-06-29 12:04:32	ga_s2am_ard_3-2-1_49KHP_2019-06-29_final
2019-07-16 11:56:45	ga_s2am_ard_3-2-1_50HLK_2019-07-16_final
2019-07-23 11:46:31	ga_s2am_ard_3-2-1_50JML_2019-07-23_final
2019-11-13 11:55:58	ga_s2am_ard_3-2-1_50JLN_2019-11-13_final
2019-12-06 12:04:58	ga_s2am_ard_3-2-1_49JGM_2019-12-06_final
2019-12-20 11:46:20	ga_s2am_ard_3-2-1_50JML_2019-12-20_final
2019-12-26 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2019-12-26_final
2020-04-27 12:14:23	ga_s2am_ard_3-2-1_49KHP_2020-04-27_final
2020-06-24 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2020-06-24_final
2020-07-13 12:04:36	ga_s2am_ard_3-2-1_49KGP_2020-07-13_final
2020-09-18 11:55:58	ga_s2am_ard_3-2-1_50JMN_2020-09-18_final
2020-09-22 11:37:12	ga_s2am_ard_3-2-1_50HPH_2020-09-22_final
2020-10-11 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-10-11_final
2020-10-18 11:56:02	ga_s2am_ard_3-2-1_50JLN_2020-10-18_final
2020-11-17 11:55:45	ga_s2am_ard_3-2-1_50JLP_2020-11-17_final
2020-12-14 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2020-12-14_final
2021-02-05 11:56:22	ga_s2am_ard_3-2-1_50JML_2021-02-05_final
2021-02-09 11:37:20	ga_s2am_ard_3-2-1_50HPG_2021-02-09_final.stac-item
2021-03-07 11:56:25	ga_s2am_ard_3-2-1_50JLL_2021-03-07_final
2021-03-24 11:46:32	ga_s2am_ard_3-2-1_50HPK_2021-03-24_final.stac-item
2021-03-30 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2021-03-30_final
2021-04-03 11:46:37	ga_s2am_ard_3-2-1_50HMK_2021-04-03_final
2021-06-25 11:56:09	ga_s2am_ard_3-2-1_50JMM_2021-06-25_final
2021-08-27 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-08-27_final
2021-09-07 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2021-09-07_final
2021-09-16 12:04:37	ga_s2am_ard_3-2-1_50JMT_2021-09-16_final
2021-09-23 11:56:21	ga_s2am_ard_3-2-1_50JNL_2021-09-23_final
2021-10-06 12:04:33	ga_s2am_ard_3-2-1_49KHP_2021-10-06_final
2021-10-30 11:46:31	ga_s2am_ard_3-2-1_50JML_2021-10-30_final
2021-10-30 11:47:25	ga_s2am_ard_3-2-1_50HNG_2021-10-30_final.stac-item
2021-11-15 12:05:42	ga_s2am_ard_3-2-1_50JKP_2021-11-15_final
2022-01-18 11:46:38	ga_s2am_ard_3-2-1_50HNK_2022-01-18_final
2022-02-03 12:04:57	ga_s2am_ard_3-2-1_49JHM_2022-02-03_final
2022-02-03 12:06:04	ga_s2am_ard_3-2-1_50JLM_2022-02-03_final
2022-03-09 11:47:21	ga_s2am_ard_3-2-1_50HPG_2022-03-09_final.stac-item
2022-05-21 11:54:51	ga_s2am_ard_3-2-1_50JLT_2022-05-21_final
2022-05-21 11:56:07	ga_s2am_ard_3-2-1_50JLN_2022-05-21_final
2022-05-24 12:05:04	ga_s2am_ard_3-2-1_50JKS_2022-05-24_final
2022-07-27 11:46:22	ga_s2am_ard_3-2-1_50JMM_2022-07-27_final
2022-10-08 11:56:20	ga_s2am_ard_3-2-1_50JKM_2022-10-08_final.stac-item
2022-10-11 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2022-10-11_final.stac-item
2022-10-21 12:04:47	ga_s2am_ard_3-2-1_49JGN_2022-10-21_final.stac-item
2022-10-31 12:05:45	ga_s2am_ard_3-2-1_50JKP_2022-10-31_final.stac-item
2022-11-30 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2022-11-30_final.stac-item
2022-12-07 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2022-12-07_final.stac-item
2022-12-30 12:04:41	ga_s2am_ard_3-2-1_49JHN_2022-12-30_final.stac-item
2022-12-31 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2022-12-31_final.stac-item
2023-01-06 11:55:58	ga_s2am_ard_3-2-1_50JKN_2023-01-06_final.stac-item
2023-03-17 11:56:09	ga_s2am_ard_3-2-1_50JLM_2023-03-17_final.stac-item
2023-03-20 12:04:52	ga_s2am_ard_3-2-1_50JLS_2023-03-20_final.stac-item
2023-04-13 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2023-04-13_final.stac-item
2023-05-02 12:14:27	ga_s2am_ard_3-2-1_49KGP_2023-05-02_final.stac-item
2023-06-11 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2023-06-11_final.stac-item
2023-06-28 12:04:53	ga_s2am_ard_3-2-1_50JKS_2023-06-28_final.stac-item
2023-08-20 12:14:04	ga_s2am_ard_3-2-1_49KGR_2023-08-20_final.stac-item
2023-08-20 12:15:16	ga_s2am_ard_3-2-1_49JGL_2023-08-20_final.stac-item
2023-11-06 11:37:02	ga_s2am_ard_3-2-1_50HQH_2023-11-06_final.stac-item
2023-11-09 11:46:53	ga_s2am_ard_3-2-1_50HQH_2023-11-09_final.stac-item
2023-11-19 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2023-11-19_final.stac-item
2024-02-06 12:13:54	ga_s2am_ard_3-2-1_49KGR_2024-02-06_final.stac-item
2024-02-27 11:46:12	ga_s2am_ard_3-2-1_50JMM_2024-02-27_final.stac-item
2024-03-01 11:55:42	ga_s2am_ard_3-2-1_50JLP_2024-03-01_final.stac-item
2024-03-11 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2024-03-11_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