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
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JUH_2016-04-06_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JPL_2016-05-09_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JFM_2016-05-18_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHS_2016-05-18_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_51KUU_2016-08-17_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JML_2016-09-19_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JGM_2016-10-02_final.stac-item
2017-02-20 11:36:27	ga_s2am_ard_3-2-1_50HPG_2017-02-20_final.stac-item
2017-03-12 11:27:30	ga_s2am_ard_3-2-1_51KVT_2017-03-12_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_51KVS_2017-06-13_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50KLC_2017-07-09_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_51KUV_2017-09-21_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KUS_2017-12-17_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_50KKB_2018-03-09_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGL_2018-03-26_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_51KUT_2018-04-09_final
2018-04-19 11:40:43	ga_s2am_ard_3-2-1_51KUV_2018-04-19_final
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HPG_2018-04-19_final.stac-item
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51KVU_2018-04-26_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_50HQG_2018-05-16_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HPK_2018-06-08_final
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_51KUV_2018-06-18_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HPH_2018-07-05_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HMG_2018-07-31_final.stac-item
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HQG_2018-08-14_final.stac-item
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JLN_2018-08-30_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HNG_2018-09-06_final.stac-item
2018-10-13 11:26:17	ga_s2am_ard_3-2-1_51KVB_2018-10-13_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JLN_2018-10-19_final
2018-11-11 12:03:18	ga_s2am_ard_3-2-1_50KMC_2018-11-11_final
2018-11-12 11:33:17	ga_s2am_ard_3-2-1_51KUT_2018-11-12_final
2018-11-22 11:32:12	ga_s2am_ard_3-2-1_51KVB_2018-11-22_final
2019-01-07 11:53:19	ga_s2am_ard_3-2-1_50KNC_2019-01-07_final
2019-02-10 11:33:19	ga_s2am_ard_3-2-1_51KUT_2019-02-10_final
2019-03-02 11:33:17	ga_s2am_ard_3-2-1_51KUT_2019-03-02_final
2019-03-05 11:42:58	ga_s2am_ard_3-2-1_51KTU_2019-03-05_final
2019-03-24 12:14:58	ga_s2am_ard_3-2-1_49JFM_2019-03-24_final
2019-04-14 11:47:26	ga_s2am_ard_3-2-1_50HMG_2019-04-14_final.stac-item
2019-05-01 11:36:46	ga_s2am_ard_3-2-1_51HUD_2019-05-01_final
2019-05-04 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-05-04_final
2019-07-13 11:43:05	ga_s2am_ard_3-2-1_51KUU_2019-07-13_final
2019-08-12 11:43:07	ga_s2am_ard_3-2-1_51KUU_2019-08-12_final
2019-09-01 11:42:42	ga_s2am_ard_3-2-1_51KVV_2019-09-01_final
2019-09-11 11:42:40	ga_s2am_ard_3-2-1_51KVV_2019-09-11_final
2019-09-18 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2019-09-18_final
2019-10-07 12:03:46	ga_s2am_ard_3-2-1_50KKB_2019-10-07_final
2019-11-10 11:43:01	ga_s2am_ard_3-2-1_51KUU_2019-11-10_final
2020-01-08 12:13:34	ga_s2am_ard_3-2-1_49KHS_2020-01-08_final.stac-item
2020-01-23 11:26:55	ga_s2am_ard_3-2-1_51HUC_2020-01-23_final
2020-02-28 11:42:41	ga_s2am_ard_3-2-1_51KUV_2020-02-28_final
2020-03-22 11:53:07	ga_s2am_ard_3-2-1_50KRC_2020-03-22_final
2020-04-04 12:03:55	ga_s2am_ard_3-2-1_50KKA_2020-04-04_final
2020-04-04 12:04:57	ga_s2am_ard_3-2-1_49JGM_2020-04-04_final
2020-04-05 11:33:42	ga_s2am_ard_3-2-1_51KVR_2020-04-05_final
2020-04-21 11:56:26	ga_s2am_ard_3-2-1_50JLL_2020-04-21_final
2020-05-14 12:04:09	ga_s2am_ard_3-2-1_50KKA_2020-05-14_final
2020-05-18 11:47:22	ga_s2am_ard_3-2-1_50HPG_2020-05-18_final.stac-item
2020-07-14 11:37:22	ga_s2am_ard_3-2-1_50HQG_2020-07-14_final.stac-item
2020-07-17 11:44:03	ga_s2am_ard_3-2-1_51KUQ_2020-07-17_final
2020-08-07 11:17:05	ga_s2am_ard_3-2-1_51HWC_2020-08-07_final.stac-item
2020-08-29 11:53:16	ga_s2am_ard_3-2-1_50KRC_2020-08-29_final
2020-11-21 11:34:20	ga_s2am_ard_3-2-1_51KUP_2020-11-21_final
2020-11-24 11:43:34	ga_s2am_ard_3-2-1_50KRB_2020-11-24_final
2020-12-21 11:36:59	ga_s2am_ard_3-2-1_51HTC_2020-12-21_final
2021-01-04 11:14:24	ga_s2am_ard_3-2-1_51JZN_2021-01-04_final
2021-02-16 11:24:22	ga_s2am_ard_3-2-1_51JYN_2021-02-16_final
2021-02-22 11:42:56	ga_s2am_ard_3-2-1_51KVU_2021-02-22_final
2021-03-17 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-03-17_final
2021-04-23 11:43:54	ga_s2am_ard_3-2-1_51KUQ_2021-04-23_final
2021-05-13 11:46:00	ga_s2am_ard_3-2-1_50JQM_2021-05-13_final
2021-06-09 11:36:15	ga_s2am_ard_3-2-1_51JUF_2021-06-09_final
2021-06-22 11:45:00	ga_s2am_ard_3-2-1_51JTL_2021-06-22_final
2021-06-28 12:04:00	ga_s2am_ard_3-2-1_50KKA_2021-06-28_final
2021-07-19 11:33:05	ga_s2am_ard_3-2-1_51KVU_2021-07-19_final
2021-08-18 11:32:49	ga_s2am_ard_3-2-1_51KVV_2021-08-18_final
2021-09-10 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-09-10_final
2021-10-23 11:52:25	ga_s2am_ard_3-2-1_50KQG_2021-10-23_final.stac-item
2022-02-03 12:03:44	ga_s2am_ard_3-2-1_50KKB_2022-02-03_final
2022-03-03 11:24:22	ga_s2am_ard_3-2-1_51JZN_2022-03-03_final
2022-03-09 11:42:31	ga_s2am_ard_3-2-1_51KVA_2022-03-09_final
2022-04-28 11:42:47	ga_s2am_ard_3-2-1_51KVV_2022-04-28_final
2022-06-17 11:46:49	ga_s2am_ard_3-2-1_50HNK_2022-06-17_final
2022-06-27 11:42:55	ga_s2am_ard_3-2-1_51KVV_2022-06-27_final
2022-07-01 11:26:42	ga_s2am_ard_3-2-1_51HVE_2022-07-01_final
2022-08-13 11:33:57	ga_s2am_ard_3-2-1_51KVR_2022-08-13_final
2022-09-08 11:56:19	ga_s2am_ard_3-2-1_50JMM_2022-09-08_final.stac-item
2022-10-18 11:53:24	ga_s2am_ard_3-2-1_50KPC_2022-10-18_final.stac-item
2022-10-31 12:03:27	ga_s2am_ard_3-2-1_50KMC_2022-10-31_final.stac-item
2022-11-11 11:34:19	ga_s2am_ard_3-2-1_51JXN_2022-11-11_final.stac-item
2022-11-17 11:53:22	ga_s2am_ard_3-2-1_50KQC_2022-11-17_final.stac-item
2023-01-16 11:53:07	ga_s2am_ard_3-2-1_50KRC_2023-01-16_final.stac-item
2023-05-13 11:47:17	ga_s2am_ard_3-2-1_50HPG_2023-05-13_final.stac-item
2023-06-02 11:43:25	ga_s2am_ard_3-2-1_50KQC_2023-06-02_final.stac-item
2023-06-12 11:42:31	ga_s2am_ard_3-2-1_51KVA_2023-06-12_final.stac-item
2023-06-22 11:42:46	ga_s2am_ard_3-2-1_51KVV_2023-06-22_final.stac-item
2023-08-21 11:42:48	ga_s2am_ard_3-2-1_51KVV_2023-08-21_final.stac-item
2023-09-03 11:55:21	ga_s2am_ard_3-2-1_50JPQ_2023-09-03_final.stac-item
2023-09-07 11:33:39	ga_s2am_ard_3-2-1_51KUS_2023-09-07_final.stac-item
2024-01-22 11:24:48	ga_s2am_ard_3-2-1_51JXL_2024-01-22_final.stac-item
2024-02-21 11:26:45	ga_s2am_ard_3-2-1_51HUD_2024-02-21_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