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
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_49KHR_2015-12-27_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JPL_2016-01-20_final.stac-item
2016-02-12 11:56:22	ga_s2am_ard_3-2-1_50JLL_2016-02-12_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HNK_2016-03-03_final.stac-item
2016-08-11 11:22:31	ga_s2am_ard_3-2-1_51HVC_2016-08-11_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HPG_2016-09-06_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49KHS_2016-09-15_final.stac-item
2017-02-07 11:26:03	ga_s2am_ard_3-2-1_51HUE_2017-02-07_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50HPK_2017-05-11_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HNJ_2017-05-24_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JTM_2017-09-28_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HPJ_2017-10-11_final
2017-10-28 11:36:03	ga_s2am_ard_3-2-1_50JQL_2017-10-28_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLH_2018-01-12_final
2018-01-20 11:11:55	ga_s2am_ard_3-2-1_51HXD_2018-01-20_final
2018-02-07 12:13:40	ga_s2am_ard_3-2-1_50KKA_2018-02-07_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HLJ_2018-04-12_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_50KQC_2018-04-29_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JLN_2018-05-25_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50KRC_2018-07-01_final
2018-08-11 11:25:57	ga_s2am_ard_3-2-1_51HUC_2018-08-11_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KHS_2018-08-13_final.stac-item
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HLG_2018-08-27_final.stac-item
2018-09-15 12:13:40	ga_s2am_ard_3-2-1_49KHQ_2018-09-15_final
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50JQL_2018-10-06_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50KQC_2018-10-09_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HNG_2018-11-05_final.stac-item
2018-11-19 11:26:37	ga_s2am_ard_3-2-1_51HVD_2018-11-19_final
2018-12-16 11:16:32	ga_s2am_ard_3-2-1_51HXD_2018-12-16_final
2018-12-21 12:05:32	ga_s2am_ard_3-2-1_50JKP_2018-12-21_final
2019-01-04 11:44:25	ga_s2am_ard_3-2-1_50JRT_2019-01-04_final
2019-01-27 11:53:14	ga_s2am_ard_3-2-1_50KQC_2019-01-27_final
2019-05-30 12:04:09	ga_s2am_ard_3-2-1_50KKV_2019-05-30_final.stac-item
2019-06-02 12:13:42	ga_s2am_ard_3-2-1_49KHS_2019-06-02_final.stac-item
2019-06-10 11:37:03	ga_s2am_ard_3-2-1_51HTC_2019-06-10_final
2019-06-13 11:46:29	ga_s2am_ard_3-2-1_50JML_2019-06-13_final
2019-07-09 12:04:09	ga_s2am_ard_3-2-1_50KLA_2019-07-09_final
2019-07-26 11:56:13	ga_s2am_ard_3-2-1_50JMM_2019-07-26_final
2019-09-04 11:56:04	ga_s2am_ard_3-2-1_50JNM_2019-09-04_final
2019-09-28 11:37:22	ga_s2am_ard_3-2-1_50HPG_2019-09-28_final.stac-item
2020-01-05 12:03:39	ga_s2am_ard_3-2-1_50KKB_2020-01-05_final
2020-03-19 11:46:34	ga_s2am_ard_3-2-1_50HNK_2020-03-19_final
2020-03-25 12:03:40	ga_s2am_ard_3-2-1_50KKB_2020-03-25_final
2020-04-22 11:27:03	ga_s2am_ard_3-2-1_51HUC_2020-04-22_final
2020-04-22 11:27:08	ga_s2am_ard_3-2-1_51HTC_2020-04-22_final
2020-04-25 11:37:08	ga_s2am_ard_3-2-1_50HPH_2020-04-25_final
2020-04-28 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2020-04-28_final
2020-04-29 11:16:25	ga_s2am_ard_3-2-1_51HYE_2020-04-29_final
2020-05-22 11:27:00	ga_s2am_ard_3-2-1_51HWC_2020-05-22_final.stac-item
2020-08-22 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-08-22_final
2020-08-29 11:56:16	ga_s2am_ard_3-2-1_50JLM_2020-08-29_final
2020-10-09 11:26:53	ga_s2am_ard_3-2-1_51HUD_2020-10-09_final
2020-10-19 11:27:07	ga_s2am_ard_3-2-1_51HUC_2020-10-19_final
2020-10-25 11:46:24	ga_s2am_ard_3-2-1_50JPL_2020-10-25_final
2020-10-25 11:47:22	ga_s2am_ard_3-2-1_50HPG_2020-10-25_final.stac-item
2020-12-30 12:04:31	ga_s2am_ard_3-2-1_49KGP_2020-12-30_final
2021-01-26 11:53:18	ga_s2am_ard_3-2-1_50KQC_2021-01-26_final
2021-02-02 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2021-02-02_final
2021-02-08 12:03:22	ga_s2am_ard_3-2-1_50KMC_2021-02-08_final
2021-02-13 11:16:57	ga_s2am_ard_3-2-1_51HWC_2021-02-13_final.stac-item
2021-03-10 12:05:55	ga_s2am_ard_3-2-1_50JKN_2021-03-10_final
2021-04-10 11:36:44	ga_s2am_ard_3-2-1_50HQJ_2021-04-10_final
2021-04-10 11:37:08	ga_s2am_ard_3-2-1_50HPH_2021-04-10_final
2021-04-12 12:14:36	ga_s2am_ard_3-2-1_49JGN_2021-04-12_final
2021-04-23 11:46:11	ga_s2am_ard_3-2-1_50JQL_2021-04-23_final
2021-04-30 11:36:03	ga_s2am_ard_3-2-1_50JQM_2021-04-30_final
2021-05-13 11:46:00	ga_s2am_ard_3-2-1_50JQM_2021-05-13_final
2021-05-30 11:36:44	ga_s2am_ard_3-2-1_51HUD_2021-05-30_final
2021-06-09 11:37:13	ga_s2am_ard_3-2-1_50HPH_2021-06-09_final
2021-06-25 11:56:01	ga_s2am_ard_3-2-1_50JKN_2021-06-25_final
2021-07-03 11:16:43	ga_s2am_ard_3-2-1_51HXD_2021-07-03_final
2021-07-05 11:55:59	ga_s2am_ard_3-2-1_50JLN_2021-07-05_final
2021-07-05 11:56:09	ga_s2am_ard_3-2-1_50JLM_2021-07-05_final
2021-07-22 11:45:25	ga_s2am_ard_3-2-1_50JPQ_2021-07-22_final
2021-07-22 11:45:32	ga_s2am_ard_3-2-1_51JTJ_2021-07-22_final
2021-08-14 11:53:24	ga_s2am_ard_3-2-1_50KPC_2021-08-14_final
2021-09-20 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2021-09-20_final
2021-09-27 11:36:35	ga_s2am_ard_3-2-1_51HTE_2021-09-27_final
2021-10-26 12:05:06	ga_s2am_ard_3-2-1_49JGM_2021-10-26_final
2022-04-11 11:56:24	ga_s2am_ard_3-2-1_50JML_2022-04-11_final
2022-04-14 12:03:26	ga_s2am_ard_3-2-1_50KMC_2022-04-14_final
2022-04-27 12:14:32	ga_s2am_ard_3-2-1_49KGP_2022-04-27_final
2022-08-06 11:46:49	ga_s2am_ard_3-2-1_50HNK_2022-08-06_final
2022-08-13 11:37:29	ga_s2am_ard_3-2-1_50HQG_2022-08-13_final.stac-item
2022-09-21 12:03:31	ga_s2am_ard_3-2-1_50KMC_2022-09-21_final.stac-item
2022-09-21 12:05:22	ga_s2am_ard_3-2-1_49JGL_2022-09-21_final.stac-item
2022-10-11 12:05:06	ga_s2am_ard_3-2-1_49JGM_2022-10-11_final.stac-item
2022-11-10 12:05:18	ga_s2am_ard_3-2-1_49JGL_2022-11-10_final.stac-item
2023-01-22 12:13:50	ga_s2am_ard_3-2-1_50KKA_2023-01-22_final.stac-item
2023-05-29 12:04:02	ga_s2am_ard_3-2-1_50KKA_2023-05-29_final.stac-item
2023-07-15 11:53:22	ga_s2am_ard_3-2-1_50KQC_2023-07-15_final.stac-item
2023-08-21 11:43:10	ga_s2am_ard_3-2-1_50KRD_2023-08-21_final.stac-item
2023-08-21 11:46:43	ga_s2am_ard_3-2-1_50HNK_2023-08-21_final.stac-item
2023-09-07 11:37:06	ga_s2am_ard_3-2-1_51HTC_2023-09-07_final.stac-item
2023-10-16 12:03:43	ga_s2am_ard_3-2-1_50KKB_2023-10-16_final.stac-item
2023-12-05 12:05:08	ga_s2am_ard_3-2-1_49JGL_2023-12-05_final.stac-item
2023-12-19 11:47:20	ga_s2am_ard_3-2-1_50HMG_2023-12-19_final.stac-item
2023-12-22 11:52:24	ga_s2am_ard_3-2-1_50KQF_2023-12-22_final.stac-item
2024-03-01 11:53:24	ga_s2am_ard_3-2-1_50KNC_2024-03-01_final.stac-item
2024-04-20 11:53:20	ga_s2am_ard_3-2-1_50KQC_2024-04-20_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