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
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JQL_2016-05-09_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JGJ_2016-05-15_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HPG_2016-06-25_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50KNC_2016-11-21_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51KVR_2016-11-22_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_51HWC_2016-12-06_final.stac-item
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50KKU_2017-07-29_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51JXH_2017-09-15_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50KQG_2017-11-13_final.stac-item
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JWF_2017-12-04_final
2018-04-05 12:02:49	ga_s2am_ard_3-2-1_50KLC_2018-04-05_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_51KVA_2018-04-29_final
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_51JZN_2018-05-03_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51HUC_2018-06-05_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49JGL_2018-06-17_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50JPL_2018-06-28_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHP_2018-07-04_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HQH_2018-07-15_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HLH_2018-07-18_final
2018-07-28 11:40:21	ga_s2am_ard_3-2-1_51KUS_2018-07-28_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_51KUV_2018-08-17_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_51KUB_2018-08-27_final.stac-item
2018-09-06 11:40:28	ga_s2am_ard_3-2-1_51KVS_2018-09-06_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HPG_2018-10-13_final.stac-item
2018-10-29 11:49:24	ga_s2am_ard_3-2-1_50KQG_2018-10-29_final.stac-item
2018-11-12 11:36:52	ga_s2am_ard_3-2-1_51HUC_2018-11-12_final
2019-01-27 11:53:07	ga_s2am_ard_3-2-1_50KRC_2019-01-27_final
2019-02-13 11:42:42	ga_s2am_ard_3-2-1_51KUV_2019-02-13_final
2019-04-01 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2019-04-01_final
2019-04-08 11:25:40	ga_s2am_ard_3-2-1_51JXH_2019-04-08_final
2019-05-24 11:43:06	ga_s2am_ard_3-2-1_51KTU_2019-05-24_final
2019-06-17 11:25:42	ga_s2am_ard_3-2-1_51JXH_2019-06-17_final
2019-07-02 12:13:59	ga_s2am_ard_3-2-1_49KHR_2019-07-02_final
2019-12-14 11:24:32	ga_s2am_ard_3-2-1_51JYM_2019-12-14_final
2020-01-10 11:16:38	ga_s2am_ard_3-2-1_51HWD_2020-01-10_final
2020-01-19 11:43:15	ga_s2am_ard_3-2-1_50KQC_2020-01-19_final
2020-01-29 11:42:06	ga_s2am_ard_3-2-1_51KVB_2020-01-29_final
2020-02-15 11:33:16	ga_s2am_ard_3-2-1_51KUT_2020-02-15_final
2020-02-17 12:13:48	ga_s2am_ard_3-2-1_50KKA_2020-02-17_final
2020-02-21 11:56:34	ga_s2am_ard_3-2-1_50HLK_2020-02-21_final
2020-03-15 12:05:22	ga_s2am_ard_3-2-1_50JKQ_2020-03-15_final
2020-04-04 12:05:11	ga_s2am_ard_3-2-1_49JGL_2020-04-04_final
2020-04-29 11:16:43	ga_s2am_ard_3-2-1_51HXD_2020-04-29_final
2020-06-27 11:46:39	ga_s2am_ard_3-2-1_50HPK_2020-06-27_final
2020-08-06 11:43:49	ga_s2am_ard_3-2-1_51KUR_2020-08-06_final
2020-10-18 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-10-18_final
2020-11-01 11:33:27	ga_s2am_ard_3-2-1_51KUT_2020-11-01_final
2020-12-04 11:44:26	ga_s2am_ard_3-2-1_51JUN_2020-12-04_final
2021-01-16 11:54:05	ga_s2am_ard_3-2-1_50KPV_2021-01-16_final
2021-02-16 11:24:18	ga_s2am_ard_3-2-1_51JZN_2021-02-16_final
2021-03-04 11:46:26	ga_s2am_ard_3-2-1_50JML_2021-03-04_final
2021-03-27 11:53:19	ga_s2am_ard_3-2-1_50KPC_2021-03-27_final
2021-04-13 11:46:57	ga_s2am_ard_3-2-1_50HPH_2021-04-13_final
2021-05-03 11:42:25	ga_s2am_ard_3-2-1_51KVA_2021-05-03_final
2021-05-23 11:47:17	ga_s2am_ard_3-2-1_50HPG_2021-05-23_final.stac-item
2021-07-02 11:46:39	ga_s2am_ard_3-2-1_50HNK_2021-07-02_final
2021-07-19 11:33:52	ga_s2am_ard_3-2-1_51KUR_2021-07-19_final
2021-08-31 11:47:04	ga_s2am_ard_3-2-1_50HPH_2021-08-31_final
2021-09-11 11:16:59	ga_s2am_ard_3-2-1_51HWC_2021-09-11_final.stac-item
2021-09-29 12:13:58	ga_s2am_ard_3-2-1_50KKA_2021-09-29_final
2021-11-06 11:33:51	ga_s2am_ard_3-2-1_51KUR_2021-11-06_final
2022-01-24 12:03:59	ga_s2am_ard_3-2-1_49KHR_2022-01-24_final
2022-02-04 11:34:17	ga_s2am_ard_3-2-1_51KUP_2022-02-04_final
2022-02-14 11:32:19	ga_s2am_ard_3-2-1_51KVB_2022-02-14_final
2022-02-17 11:42:47	ga_s2am_ard_3-2-1_51KUV_2022-02-17_final
2022-03-03 11:24:22	ga_s2am_ard_3-2-1_51JZN_2022-03-03_final
2022-03-28 12:13:42	ga_s2am_ard_3-2-1_50KKB_2022-03-28_final
2022-05-02 11:24:31	ga_s2am_ard_3-2-1_51JXN_2022-05-02_final
2022-05-09 11:15:14	ga_s2am_ard_3-2-1_51JYK_2022-05-09_final
2022-05-12 11:24:22	ga_s2am_ard_3-2-1_51JZN_2022-05-12_final
2022-05-18 11:42:51	ga_s2am_ard_3-2-1_51KUV_2022-05-18_final
2022-06-07 11:42:25	ga_s2am_ard_3-2-1_51KUB_2022-06-07_final.stac-item
2022-06-10 11:53:45	ga_s2am_ard_3-2-1_50KPB_2022-06-10_final
2022-06-26 12:14:07	ga_s2am_ard_3-2-1_50KKA_2022-06-26_final
2022-07-07 11:43:21	ga_s2am_ard_3-2-1_51KUU_2022-07-07_final
2022-07-28 11:16:17	ga_s2am_ard_3-2-1_51JYF_2022-07-28_final
2022-07-31 11:27:12	ga_s2am_ard_3-2-1_51HUC_2022-07-31_final
2022-09-02 11:35:49	ga_s2am_ard_3-2-1_50JQP_2022-09-02_final.stac-item
2022-09-12 11:34:25	ga_s2am_ard_3-2-1_51KVP_2022-09-12_final.stac-item
2022-09-15 11:46:29	ga_s2am_ard_3-2-1_50JPL_2022-09-15_final.stac-item
2022-09-21 12:03:31	ga_s2am_ard_3-2-1_50KMC_2022-09-21_final.stac-item
2023-01-13 11:42:11	ga_s2am_ard_3-2-1_51KVB_2023-01-13_final.stac-item
2023-02-25 11:53:19	ga_s2am_ard_3-2-1_50KPC_2023-02-25_final.stac-item
2023-03-11 11:37:02	ga_s2am_ard_3-2-1_50HPH_2023-03-11_final.stac-item
2023-03-31 11:36:59	ga_s2am_ard_3-2-1_51HTC_2023-03-31_final.stac-item
2023-04-01 11:06:36	ga_s2am_ard_3-2-1_51HYD_2023-04-01_final.stac-item
2023-07-15 11:53:22	ga_s2am_ard_3-2-1_50KQC_2023-07-15_final.stac-item
2023-07-21 12:13:43	ga_s2am_ard_3-2-1_50KKB_2023-07-21_final.stac-item
2023-07-22 11:43:07	ga_s2am_ard_3-2-1_51KTU_2023-07-22_final.stac-item
2023-08-27 12:03:50	ga_s2am_ard_3-2-1_50KKB_2023-08-27_final.stac-item
2023-10-06 12:03:42	ga_s2am_ard_3-2-1_50KLB_2023-10-06_final.stac-item
2023-11-06 11:33:33	ga_s2am_ard_3-2-1_51KUS_2023-11-06_final.stac-item
2023-12-19 11:43:40	ga_s2am_ard_3-2-1_51KUR_2023-12-19_final.stac-item
2023-12-23 11:26:32	ga_s2am_ard_3-2-1_51HXD_2023-12-23_final.stac-item
2024-01-12 11:26:30	ga_s2am_ard_3-2-1_51HXD_2024-01-12_final.stac-item
2024-01-31 11:53:16	ga_s2am_ard_3-2-1_50KPC_2024-01-31_final.stac-item
2024-03-11 11:56:00	ga_s2am_ard_3-2-1_50JKN_2024-03-11_final.stac-item
2024-03-26 11:06:36	ga_s2am_ard_3-2-1_51HYD_2024-03-26_final.stac-item
2024-03-31 11:57:21	ga_s2am_ard_3-2-1_50HLG_2024-03-31_final.stac-item
2024-04-24 11:33:51	ga_s2am_ard_3-2-1_51KUR_2024-04-24_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

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