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
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_50KKB_2015-11-30_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGM_2016-03-06_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49JGM_2016-03-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JNQ_2016-03-20_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KHS_2016-04-15_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51HUD_2016-04-23_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HMH_2016-05-22_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HQK_2016-07-28_final.stac-item
2016-10-12 12:03:43	ga_s2am_ard_3-2-1_49KHR_2016-10-12_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HMJ_2016-11-28_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHS_2016-12-31_final.stac-item
2017-03-29 11:26:04	ga_s2am_ard_3-2-1_51HUE_2017-03-29_final
2017-04-13 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-04-13_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JKS_2017-10-07_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JLT_2017-10-07_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HMH_2017-12-23_final
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_49KHR_2017-12-26_final
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JLS_2017-12-26_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMH_2018-01-19_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JNT_2018-02-01_final
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_51HUD_2018-02-12_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_50KRV_2018-02-18_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNK_2018-04-29_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JNR_2018-05-19_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JLT_2018-05-22_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50KLU_2018-05-22_final
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_50KRD_2018-06-18_final
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50JPS_2018-07-08_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51HTC_2018-08-04_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HQG_2018-09-03_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPG_2018-09-06_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPK_2018-09-06_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50KMC_2018-09-19_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50HLG_2018-09-29_final.stac-item
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JLT_2018-09-29_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-10-05_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JKP_2018-10-12_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HMJ_2018-10-16_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JNN_2018-10-26_final
2018-11-08 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2018-11-08_final
2018-11-12 11:36:52	ga_s2am_ard_3-2-1_51HUC_2018-11-12_final
2018-11-15 11:47:11	ga_s2am_ard_3-2-1_50HPG_2018-11-15_final.stac-item
2018-11-25 11:47:09	ga_s2am_ard_3-2-1_50HPG_2018-11-25_final.stac-item
2018-12-08 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-12-08_final
2018-12-18 11:53:02	ga_s2am_ard_3-2-1_50KRC_2018-12-18_final
2018-12-25 11:42:56	ga_s2am_ard_3-2-1_50KRD_2018-12-25_final
2018-12-25 11:46:48	ga_s2am_ard_3-2-1_50HMJ_2018-12-25_final
2019-01-03 12:13:49	ga_s2am_ard_3-2-1_49KHR_2019-01-03_final
2019-01-03 12:14:15	ga_s2am_ard_3-2-1_49KHP_2019-01-03_final
2019-01-04 11:44:47	ga_s2am_ard_3-2-1_50JPS_2019-01-04_final
2019-01-07 11:57:04	ga_s2am_ard_3-2-1_50HLH_2019-01-07_final
2019-06-13 11:45:35	ga_s2am_ard_3-2-1_50JQP_2019-06-13_final
2019-07-09 12:03:49	ga_s2am_ard_3-2-1_49KHS_2019-07-09_final.stac-item
2019-07-20 11:37:31	ga_s2am_ard_3-2-1_50HNG_2019-07-20_final.stac-item
2019-08-08 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-08-08_final.stac-item
2019-08-29 11:36:44	ga_s2am_ard_3-2-1_51HUD_2019-08-29_final
2019-10-31 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-10-31_final.stac-item
2020-01-02 11:53:19	ga_s2am_ard_3-2-1_50KNC_2020-01-02_final
2020-02-01 11:56:39	ga_s2am_ard_3-2-1_50HMJ_2020-02-01_final
2020-03-06 11:36:53	ga_s2am_ard_3-2-1_51HUC_2020-03-06_final
2020-05-21 11:53:27	ga_s2am_ard_3-2-1_50KPC_2020-05-21_final
2020-07-17 11:46:42	ga_s2am_ard_3-2-1_50HNK_2020-07-17_final
2020-12-04 11:47:08	ga_s2am_ard_3-2-1_50HMH_2020-12-04_final
2021-01-03 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-01-03_final
2021-01-03 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-01-03_final.stac-item
2021-01-23 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-01-23_final
2021-02-09 11:37:25	ga_s2am_ard_3-2-1_50HNG_2021-02-09_final.stac-item
2021-04-23 11:46:39	ga_s2am_ard_3-2-1_50HQJ_2021-04-23_final
2021-04-29 12:05:35	ga_s2am_ard_3-2-1_50JLP_2021-04-29_final
2021-05-16 11:56:11	ga_s2am_ard_3-2-1_50JLM_2021-05-16_final
2021-06-28 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-06-28_final
2021-06-29 11:37:23	ga_s2am_ard_3-2-1_50HPG_2021-06-29_final.stac-item
2021-07-05 11:55:49	ga_s2am_ard_3-2-1_50JKP_2021-07-05_final
2021-07-05 11:56:02	ga_s2am_ard_3-2-1_50JKN_2021-07-05_final
2021-07-28 12:05:04	ga_s2am_ard_3-2-1_49JGM_2021-07-28_final
2021-07-29 11:35:54	ga_s2am_ard_3-2-1_50JQN_2021-07-29_final
2021-08-07 12:04:34	ga_s2am_ard_3-2-1_49KGP_2021-08-07_final
2021-08-15 11:26:35	ga_s2am_ard_3-2-1_51HUE_2021-08-15_final
2021-08-17 12:03:58	ga_s2am_ard_3-2-1_50KLA_2021-08-17_final
2021-08-21 11:44:40	ga_s2am_ard_3-2-1_50JPT_2021-08-21_final
2021-08-21 11:44:55	ga_s2am_ard_3-2-1_50JPS_2021-08-21_final
2021-09-17 11:36:30	ga_s2am_ard_3-2-1_51HUE_2021-09-17_final
2021-10-07 11:36:28	ga_s2am_ard_3-2-1_51HVE_2021-10-07_final
2021-10-26 12:05:20	ga_s2am_ard_3-2-1_49JGL_2021-10-26_final
2021-11-26 11:37:17	ga_s2am_ard_3-2-1_50HPG_2021-11-26_final.stac-item
2022-01-14 12:03:24	ga_s2am_ard_3-2-1_50KMC_2022-01-14_final
2022-01-21 11:53:11	ga_s2am_ard_3-2-1_50KRC_2022-01-21_final
2022-04-11 11:53:12	ga_s2am_ard_3-2-1_50KRC_2022-04-11_final
2022-05-05 11:36:47	ga_s2am_ard_3-2-1_51HUD_2022-05-05_final
2022-07-26 12:13:50	ga_s2am_ard_3-2-1_49KHS_2022-07-26_final.stac-item
2022-09-01 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-09-01_final.stac-item
2022-09-08 11:57:20	ga_s2am_ard_3-2-1_50HLH_2022-09-08_final.stac-item
2022-09-24 12:13:47	ga_s2am_ard_3-2-1_49KHS_2022-09-24_final.stac-item
2023-01-26 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2023-01-26_final.stac-item
2023-03-31 11:37:15	ga_s2am_ard_3-2-1_50HQG_2023-03-31_final.stac-item
2023-07-19 11:37:21	ga_s2am_ard_3-2-1_50HQG_2023-07-19_final.stac-item
2023-10-09 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-10-09_final.stac-item
2023-10-30 11:43:03	ga_s2am_ard_3-2-1_50KRD_2023-10-30_final.stac-item
2023-11-18 12:13:37	ga_s2am_ard_3-2-1_50KKB_2023-11-18_final.stac-item
2024-04-10 11:53:11	ga_s2am_ard_3-2-1_50KRC_2024-04-10_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