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
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49KGP_2015-10-21_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KGQ_2015-10-28_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGJ_2015-12-17_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGK_2015-12-17_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLS_2015-12-17_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50JQM_2015-12-21_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KHQ_2015-12-30_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JNL_2016-01-03_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JLS_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JLT_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50KMV_2016-01-16_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JMS_2016-01-26_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JPQ_2016-02-02_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JMR_2016-02-05_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JPQ_2016-03-03_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49JHN_2016-03-09_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JMS_2016-04-15_final.stac-item
2016-04-29 11:47:17	ga_s2am_ard_3-2-1_50HNG_2016-04-29_final.stac-item
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_49KGR_2016-05-08_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLN_2016-05-15_final.stac-item
2016-05-25 12:04:47	ga_s2am_ard_3-2-1_50JLR_2016-05-25_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HPK_2016-05-29_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JMR_2016-06-14_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGP_2016-08-26_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50KPF_2016-11-28_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JMR_2016-12-11_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HPH_2017-01-24_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KHR_2017-01-30_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KHQ_2017-02-12_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50KLC_2017-02-19_final
2017-03-01 12:03:41	ga_s2am_ard_3-2-1_50KLA_2017-03-01_final
2017-03-01 12:03:41	ga_s2am_ard_3-2-1_50KLV_2017-03-01_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HPH_2017-03-25_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HNK_2017-04-14_final.stac-item
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50KPF_2017-04-27_final.stac-item
2017-09-30 12:13:18	ga_s2am_ard_3-2-1_49KHR_2017-09-30_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50KKB_2018-01-05_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50KQF_2018-03-13_final.stac-item
2018-09-29 11:48:21	ga_s2am_ard_3-2-1_50KQG_2018-09-29_final.stac-item
2018-12-11 12:03:51	ga_s2am_ard_3-2-1_49KHR_2018-12-11_final
2019-02-09 12:03:17	ga_s2am_ard_3-2-1_50KNC_2019-02-09_final
2019-02-09 12:03:20	ga_s2am_ard_3-2-1_50KMC_2019-02-09_final
2019-02-19 12:03:40	ga_s2am_ard_3-2-1_50KNA_2019-02-19_final
2019-02-22 12:14:17	ga_s2am_ard_3-2-1_49KHP_2019-02-22_final
2019-02-26 11:56:13	ga_s2am_ard_3-2-1_50JNL_2019-02-26_final
2019-03-11 12:03:39	ga_s2am_ard_3-2-1_50KKB_2019-03-11_final
2019-03-18 11:52:34	ga_s2am_ard_3-2-1_50KPF_2019-03-18_final.stac-item
2019-03-18 11:53:14	ga_s2am_ard_3-2-1_50KQC_2019-03-18_final
2019-04-03 12:14:08	ga_s2am_ard_3-2-1_50KKV_2019-04-03_final
2019-05-17 11:52:41	ga_s2am_ard_3-2-1_50KPF_2019-05-17_final.stac-item
2019-11-13 11:53:13	ga_s2am_ard_3-2-1_50KRC_2019-11-13_final
2019-11-29 12:13:58	ga_s2am_ard_3-2-1_49KGR_2019-11-29_final
2019-12-03 11:56:24	ga_s2am_ard_3-2-1_50JLL_2019-12-03_final
2019-12-10 11:43:15	ga_s2am_ard_3-2-1_50KRC_2019-12-10_final
2019-12-16 12:05:24	ga_s2am_ard_3-2-1_49JGK_2019-12-16_final
2020-01-09 11:45:55	ga_s2am_ard_3-2-1_50JQM_2020-01-09_final
2020-01-22 11:52:28	ga_s2am_ard_3-2-1_50KQF_2020-01-22_final.stac-item
2020-04-04 12:05:11	ga_s2am_ard_3-2-1_49JGL_2020-04-04_final
2020-04-28 11:43:21	ga_s2am_ard_3-2-1_50KRC_2020-04-28_final
2020-05-17 12:13:59	ga_s2am_ard_3-2-1_50KKA_2020-05-17_final
2020-07-06 12:13:59	ga_s2am_ard_3-2-1_50KKA_2020-07-06_final
2020-07-20 11:52:39	ga_s2am_ard_3-2-1_50KQF_2020-07-20_final.stac-item
2020-08-19 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-08-19_final
2020-09-01 12:03:25	ga_s2am_ard_3-2-1_50KNC_2020-09-01_final
2020-09-01 12:03:49	ga_s2am_ard_3-2-1_50KKB_2020-09-01_final
2020-09-08 11:56:40	ga_s2am_ard_3-2-1_50HMK_2020-09-08_final
2020-09-12 11:36:30	ga_s2am_ard_3-2-1_50JPL_2020-09-12_final
2020-10-01 12:03:50	ga_s2am_ard_3-2-1_50KKB_2020-10-01_final
2020-10-04 12:14:22	ga_s2am_ard_3-2-1_50KKV_2020-10-04_final
2020-11-17 11:55:38	ga_s2am_ard_3-2-1_50JNP_2020-11-17_final
2020-12-10 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-12-10_final
2021-03-30 12:03:17	ga_s2am_ard_3-2-1_50KNC_2021-03-30_final
2021-06-05 11:53:18	ga_s2am_ard_3-2-1_50KQC_2021-06-05_final
2021-10-13 11:52:25	ga_s2am_ard_3-2-1_50KQG_2021-10-13_final.stac-item
2021-12-18 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-12-18_final
2022-01-07 12:13:56	ga_s2am_ard_3-2-1_49KHR_2022-01-07_final
2022-03-16 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2022-03-16_final
2022-04-21 11:57:14	ga_s2am_ard_3-2-1_50HLH_2022-04-21_final
2022-05-31 11:57:31	ga_s2am_ard_3-2-1_50HLG_2022-05-31_final.stac-item
2022-07-14 11:37:15	ga_s2am_ard_3-2-1_50HQH_2022-07-14_final
2022-12-03 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-12-03_final.stac-item
2022-12-21 11:37:05	ga_s2am_ard_3-2-1_50HPH_2022-12-21_final.stac-item
2022-12-24 11:47:00	ga_s2am_ard_3-2-1_50HPH_2022-12-24_final.stac-item
2023-01-19 12:05:24	ga_s2am_ard_3-2-1_49JGK_2023-01-19_final.stac-item
2023-03-17 11:56:38	ga_s2am_ard_3-2-1_50HLK_2023-03-17_final.stac-item
2023-04-16 11:54:11	ga_s2am_ard_3-2-1_50KMV_2023-04-16_final.stac-item
2023-06-22 11:46:37	ga_s2am_ard_3-2-1_50HPK_2023-06-22_final.stac-item
2023-10-23 11:56:29	ga_s2am_ard_3-2-1_50JLL_2023-10-23_final.stac-item
2023-11-16 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-11-16_final.stac-item
2023-11-28 12:14:14	ga_s2am_ard_3-2-1_49KHP_2023-11-28_final.stac-item
2023-12-02 11:56:22	ga_s2am_ard_3-2-1_50HNK_2023-12-02_final.stac-item
2023-12-05 12:03:45	ga_s2am_ard_3-2-1_50KMA_2023-12-05_final.stac-item
2024-02-07 11:46:58	ga_s2am_ard_3-2-1_50HPH_2024-02-07_final.stac-item
2024-03-27 12:13:55	ga_s2am_ard_3-2-1_50KKA_2024-03-27_final.stac-item
2024-03-27 12:14:27	ga_s2am_ard_3-2-1_49KGP_2024-03-27_final.stac-item
2024-04-10 11:56:28	ga_s2am_ard_3-2-1_50HNK_2024-04-10_final.stac-item
2024-04-27 11:46:55	ga_s2am_ard_3-2-1_50HQH_2024-04-27_final.stac-item
2024-04-27 11:47:05	ga_s2am_ard_3-2-1_50HPH_2024-04-27_final.stac-item
2024-04-30 11:56:14	ga_s2am_ard_3-2-1_50JLM_2024-04-30_final.stac-item
2024-05-07 11:46:56	ga_s2am_ard_3-2-1_50HQH_2024-05-07_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