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
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50KQG_2016-01-03_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KLU_2016-05-22_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_51KUV_2016-09-06_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HLH_2016-10-26_final.stac-item
2017-04-13 12:13:43	ga_s2am_ard_3-2-1_50KKA_2017-04-13_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50JLL_2017-05-27_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51KVT_2017-08-19_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51KVT_2017-09-08_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KWB_2017-09-28_final
2017-11-04 11:26:08	ga_s2am_ard_3-2-1_51HVE_2017-11-04_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51HWE_2017-11-14_final
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_50KLA_2017-12-26_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KYT_2018-01-26_final
2018-02-05 11:35:59	ga_s2am_ard_3-2-1_50JQM_2018-02-05_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HNG_2018-05-26_final.stac-item
2018-06-02 11:17:00	ga_s2am_ard_3-2-1_51KXQ_2018-06-02_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_51KVQ_2018-06-15_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_51KWQ_2018-06-15_final
2018-06-21 11:48:18	ga_s2am_ard_3-2-1_50KQD_2018-06-21_final.stac-item
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_51KVS_2018-06-28_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50KQG_2018-07-11_final.stac-item
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51KXR_2018-07-15_final
2018-07-28 11:40:21	ga_s2am_ard_3-2-1_51KUB_2018-07-28_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51KUT_2018-08-04_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51KVS_2018-08-04_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HPG_2018-08-17_final.stac-item
2018-08-21 11:21:36	ga_s2am_ard_3-2-1_51KXS_2018-08-21_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51KVR_2018-08-24_final
2018-09-03 11:26:18	ga_s2am_ard_3-2-1_51KVU_2018-09-03_final
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51JUK_2018-09-23_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HLG_2018-10-09_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_50KKB_2018-10-15_final
2018-10-17 11:12:52	ga_s2am_ard_3-2-1_51HWC_2018-10-17_final.stac-item
2018-11-25 11:42:05	ga_s2am_ard_3-2-1_51KVB_2018-11-25_final
2018-12-12 11:33:08	ga_s2am_ard_3-2-1_51KVT_2018-12-12_final
2019-02-17 11:23:10	ga_s2am_ard_3-2-1_51KXT_2019-02-17_final
2019-03-02 11:33:25	ga_s2am_ard_3-2-1_51KVS_2019-03-02_final
2019-03-09 11:22:50	ga_s2am_ard_3-2-1_51KYU_2019-03-09_final
2019-03-22 11:33:07	ga_s2am_ard_3-2-1_51KXT_2019-03-22_final
2019-05-11 11:33:13	ga_s2am_ard_3-2-1_51KXT_2019-05-11_final
2019-05-24 11:43:03	ga_s2am_ard_3-2-1_51KUU_2019-05-24_final
2019-05-30 12:03:47	ga_s2am_ard_3-2-1_49KHS_2019-05-30_final.stac-item
2019-05-31 11:33:41	ga_s2am_ard_3-2-1_51KXR_2019-05-31_final
2019-06-03 11:42:19	ga_s2am_ard_3-2-1_51KUB_2019-06-03_final.stac-item
2019-07-17 11:24:09	ga_s2am_ard_3-2-1_51KWQ_2019-07-17_final
2019-09-28 11:33:23	ga_s2am_ard_3-2-1_51KUT_2019-09-28_final
2019-10-01 11:43:31	ga_s2am_ard_3-2-1_51KUS_2019-10-01_final
2019-10-20 12:13:43	ga_s2am_ard_3-2-1_50KKB_2019-10-20_final
2019-11-20 11:43:30	ga_s2am_ard_3-2-1_51KUS_2019-11-20_final
2019-12-04 11:23:41	ga_s2am_ard_3-2-1_51KXR_2019-12-04_final
2020-01-10 11:16:31	ga_s2am_ard_3-2-1_51HYD_2020-01-10_final
2020-03-13 11:23:21	ga_s2am_ard_3-2-1_51KYS_2020-03-13_final
2020-04-25 11:33:02	ga_s2am_ard_3-2-1_51KYT_2020-04-25_final
2020-05-22 11:23:16	ga_s2am_ard_3-2-1_51KYT_2020-05-22_final
2020-06-01 11:27:08	ga_s2am_ard_3-2-1_51HUC_2020-06-01_final
2020-06-24 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2020-06-24_final
2020-07-04 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2020-07-04_final
2020-07-24 11:33:03	ga_s2am_ard_3-2-1_51KWU_2020-07-24_final
2020-10-22 11:33:00	ga_s2am_ard_3-2-1_51KXU_2020-10-22_final
2020-10-22 11:33:07	ga_s2am_ard_3-2-1_51KVU_2020-10-22_final
2020-10-29 11:23:15	ga_s2am_ard_3-2-1_51KYT_2020-10-29_final
2020-11-24 11:43:45	ga_s2am_ard_3-2-1_51KUR_2020-11-24_final
2020-12-24 11:43:14	ga_s2am_ard_3-2-1_51KUT_2020-12-24_final
2021-01-03 11:43:12	ga_s2am_ard_3-2-1_51KVT_2021-01-03_final
2021-02-02 11:44:38	ga_s2am_ard_3-2-1_50JPT_2021-02-02_final
2021-02-22 11:43:17	ga_s2am_ard_3-2-1_51KTT_2021-02-22_final
2021-07-01 12:13:42	ga_s2am_ard_3-2-1_49KHS_2021-07-01_final.stac-item
2021-07-18 12:03:48	ga_s2am_ard_3-2-1_49KHS_2021-07-18_final.stac-item
2021-07-22 11:42:20	ga_s2am_ard_3-2-1_51KUB_2021-07-22_final.stac-item
2021-07-26 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2021-07-26_final
2021-07-28 12:03:48	ga_s2am_ard_3-2-1_49KHS_2021-07-28_final.stac-item
2021-08-08 11:33:30	ga_s2am_ard_3-2-1_51KWS_2021-08-08_final
2021-09-20 11:43:17	ga_s2am_ard_3-2-1_51KUT_2021-09-20_final
2021-10-10 11:43:20	ga_s2am_ard_3-2-1_51KUT_2021-10-10_final
2021-11-03 11:23:47	ga_s2am_ard_3-2-1_51KXR_2021-11-03_final
2021-11-19 11:43:00	ga_s2am_ard_3-2-1_51KUU_2021-11-19_final
2021-11-25 12:03:44	ga_s2am_ard_3-2-1_50KKB_2021-11-25_final
2021-12-23 11:22:57	ga_s2am_ard_3-2-1_51KYU_2021-12-23_final
2021-12-26 11:32:40	ga_s2am_ard_3-2-1_51KVV_2021-12-26_final
2022-02-14 11:33:01	ga_s2am_ard_3-2-1_51KVU_2022-02-14_final
2022-02-24 11:33:41	ga_s2am_ard_3-2-1_51KXR_2022-02-24_final
2022-03-16 11:33:27	ga_s2am_ard_3-2-1_51KXS_2022-03-16_final
2022-03-16 11:33:42	ga_s2am_ard_3-2-1_51KXR_2022-03-16_final
2022-04-25 11:33:50	ga_s2am_ard_3-2-1_51KVR_2022-04-25_final
2022-07-24 11:34:10	ga_s2am_ard_3-2-1_51KVQ_2022-07-24_final
2022-07-31 11:24:07	ga_s2am_ard_3-2-1_51KXQ_2022-07-31_final
2022-08-05 12:13:51	ga_s2am_ard_3-2-1_49KHS_2022-08-05_final.stac-item
2022-08-16 11:43:42	ga_s2am_ard_3-2-1_51KUS_2022-08-16_final
2022-10-02 11:33:45	ga_s2am_ard_3-2-1_51KXR_2022-10-02_final.stac-item
2022-11-01 11:37:21	ga_s2am_ard_3-2-1_50HQG_2022-11-01_final.stac-item
2022-12-28 11:23:09	ga_s2am_ard_3-2-1_51KYT_2022-12-28_final.stac-item
2023-03-21 11:33:14	ga_s2am_ard_3-2-1_51KVT_2023-03-21_final.stac-item
2023-05-12 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-05-12_final.stac-item
2023-07-02 11:43:34	ga_s2am_ard_3-2-1_51KUS_2023-07-02_final.stac-item
2023-07-06 11:23:01	ga_s2am_ard_3-2-1_51KYU_2023-07-06_final.stac-item
2023-09-17 11:33:12	ga_s2am_ard_3-2-1_51KXT_2023-09-17_final.stac-item
2023-11-09 11:42:09	ga_s2am_ard_3-2-1_51KWB_2023-11-09_final.stac-item
2024-01-28 11:42:16	ga_s2am_ard_3-2-1_51KWA_2024-01-28_final.stac-item
2024-02-07 11:43:07	ga_s2am_ard_3-2-1_51KVT_2024-02-07_final.stac-item
2024-02-14 11:32:51	ga_s2am_ard_3-2-1_51KWU_2024-02-14_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