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
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50HPJ_2015-10-22_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JKP_2015-12-17_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50KKU_2015-12-17_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50KNC_2015-12-17_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHP_2016-05-15_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51HXD_2016-07-22_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50KRC_2016-07-28_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KGR_2016-08-06_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50HLJ_2016-10-09_final.stac-item
2016-10-19 11:56:02	ga_s2am_ard_3-2-1_50JLL_2016-10-19_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JLQ_2016-10-22_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50KLU_2016-12-11_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50JPL_2017-01-24_final
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49KGP_2017-02-02_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50JMS_2017-02-16_final
2017-02-20 11:36:27	ga_s2am_ard_3-2-1_51HUD_2017-02-20_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_50HPJ_2017-04-21_final
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_50JLQ_2017-05-20_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGL_2017-09-27_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JGN_2017-10-07_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JKS_2017-10-17_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_50KKA_2017-11-09_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGL_2017-11-26_final.stac-item
2018-01-05 12:05:28	ga_s2am_ard_3-2-1_50JLN_2018-01-05_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50JPL_2018-02-18_final
2018-03-07 11:36:09	ga_s2am_ard_3-2-1_51HUE_2018-03-07_final
2018-03-23 11:48:13	ga_s2am_ard_3-2-1_50KRC_2018-03-23_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_50JKM_2018-04-15_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HPK_2018-05-09_final
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_51HXD_2018-05-20_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HQG_2018-08-14_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-10-15_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JLM_2018-10-19_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JKN_2018-10-22_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HMH_2018-11-05_final
2018-11-21 12:04:24	ga_s2am_ard_3-2-1_49KGP_2018-11-21_final
2018-12-22 11:35:57	ga_s2am_ard_3-2-1_50JQM_2018-12-22_final
2019-01-10 12:05:51	ga_s2am_ard_3-2-1_50JKN_2019-01-10_final
2019-02-23 11:47:20	ga_s2am_ard_3-2-1_50HMG_2019-02-23_final.stac-item
2019-03-15 11:47:20	ga_s2am_ard_3-2-1_50HMG_2019-03-15_final.stac-item
2019-05-03 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-05-03_final
2019-05-04 11:46:05	ga_s2am_ard_3-2-1_50JNN_2019-05-04_final
2019-05-28 11:25:45	ga_s2am_ard_3-2-1_51JWH_2019-05-28_final
2019-05-31 11:36:54	ga_s2am_ard_3-2-1_50HPJ_2019-05-31_final
2019-08-05 11:55:46	ga_s2am_ard_3-2-1_50JLP_2019-08-05_final
2019-09-04 11:55:42	ga_s2am_ard_3-2-1_50JLP_2019-09-04_final
2019-09-20 12:14:41	ga_s2am_ard_3-2-1_49JGN_2019-09-20_final
2019-09-28 11:37:22	ga_s2am_ard_3-2-1_50HPG_2019-09-28_final.stac-item
2019-10-30 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-10-30_final
2019-11-20 11:47:25	ga_s2am_ard_3-2-1_50HMG_2019-11-20_final.stac-item
2019-11-24 11:26:33	ga_s2am_ard_3-2-1_51HUE_2019-11-24_final
2020-01-22 11:53:25	ga_s2am_ard_3-2-1_50KMC_2020-01-22_final
2020-02-01 11:56:18	ga_s2am_ard_3-2-1_50JLL_2020-02-01_final
2020-02-11 11:56:33	ga_s2am_ard_3-2-1_50HLK_2020-02-11_final
2020-02-18 11:46:27	ga_s2am_ard_3-2-1_50HPK_2020-02-18_final
2020-02-25 11:36:05	ga_s2am_ard_3-2-1_51JVF_2020-02-25_final
2020-04-05 11:35:38	ga_s2am_ard_3-2-1_51JVH_2020-04-05_final
2020-04-18 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2020-04-18_final
2020-05-14 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-05-14_final.stac-item
2020-05-21 11:53:53	ga_s2am_ard_3-2-1_50KNA_2020-05-21_final
2020-06-17 11:46:25	ga_s2am_ard_3-2-1_50JPL_2020-06-17_final
2020-07-07 11:47:11	ga_s2am_ard_3-2-1_50HNH_2020-07-07_final
2020-08-23 11:36:29	ga_s2am_ard_3-2-1_51HVE_2020-08-23_final
2020-09-04 12:14:46	ga_s2am_ard_3-2-1_49JGN_2020-09-04_final
2020-09-05 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2020-09-05_final
2020-09-05 11:47:07	ga_s2am_ard_3-2-1_50HPH_2020-09-05_final
2020-09-09 11:26:58	ga_s2am_ard_3-2-1_51HWC_2020-09-09_final.stac-item
2020-10-05 11:44:37	ga_s2am_ard_3-2-1_51JTN_2020-10-05_final
2020-11-04 11:43:23	ga_s2am_ard_3-2-1_50KRC_2020-11-04_final
2021-01-10 11:36:20	ga_s2am_ard_3-2-1_50JQL_2021-01-10_final
2021-01-19 12:03:59	ga_s2am_ard_3-2-1_50KKA_2021-01-19_final
2021-02-09 11:37:00	ga_s2am_ard_3-2-1_51HTC_2021-02-09_final
2021-03-04 11:44:49	ga_s2am_ard_3-2-1_50JQS_2021-03-04_final
2021-07-25 11:55:45	ga_s2am_ard_3-2-1_50JLP_2021-07-25_final
2021-07-29 11:36:17	ga_s2am_ard_3-2-1_51JUF_2021-07-29_final
2021-08-21 11:46:21	ga_s2am_ard_3-2-1_50JPL_2021-08-21_final
2021-11-15 12:03:42	ga_s2am_ard_3-2-1_50KLB_2021-11-15_final
2021-11-26 11:34:32	ga_s2am_ard_3-2-1_51JUN_2021-11-26_final
2022-01-08 11:43:05	ga_s2am_ard_3-2-1_50KRD_2022-01-08_final
2022-02-13 12:05:40	ga_s2am_ard_3-2-1_50JKP_2022-02-13_final
2022-03-22 11:56:02	ga_s2am_ard_3-2-1_50JKN_2022-03-22_final
2022-05-11 11:53:28	ga_s2am_ard_3-2-1_50KNC_2022-05-11_final
2022-06-07 11:46:42	ga_s2am_ard_3-2-1_50HPK_2022-06-07_final
2022-07-16 12:15:23	ga_s2am_ard_3-2-1_49JGL_2022-07-16_final
2022-08-12 12:03:35	ga_s2am_ard_3-2-1_50KMC_2022-08-12_final
2022-09-29 11:27:02	ga_s2am_ard_3-2-1_51HWC_2022-09-29_final.stac-item
2022-10-06 11:17:05	ga_s2am_ard_3-2-1_51HWC_2022-10-06_final.stac-item
2022-10-12 11:36:39	ga_s2am_ard_3-2-1_50HQK_2022-10-12_final.stac-item
2022-11-07 11:53:35	ga_s2am_ard_3-2-1_50KMC_2022-11-07_final.stac-item
2022-12-18 11:26:17	ga_s2am_ard_3-2-1_51JUF_2022-12-18_final.stac-item
2023-02-08 12:04:38	ga_s2am_ard_3-2-1_50JLT_2023-02-08_final.stac-item
2023-03-30 12:03:54	ga_s2am_ard_3-2-1_50KLA_2023-03-30_final.stac-item
2023-04-07 11:24:59	ga_s2am_ard_3-2-1_51JWL_2023-04-07_final.stac-item
2023-04-19 12:05:11	ga_s2am_ard_3-2-1_50JKR_2023-04-19_final.stac-item
2023-05-19 12:05:57	ga_s2am_ard_3-2-1_50JKN_2023-05-19_final.stac-item
2023-07-28 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2023-07-28_final.stac-item
2023-09-03 11:56:45	ga_s2am_ard_3-2-1_50HLK_2023-09-03_final.stac-item
2024-01-14 12:05:45	ga_s2am_ard_3-2-1_50JLN_2024-01-14_final.stac-item
2024-02-17 11:47:04	ga_s2am_ard_3-2-1_50HNH_2024-02-17_final.stac-item
2024-02-20 11:56:23	ga_s2am_ard_3-2-1_50JLL_2024-02-20_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