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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
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51KVU_2016-02-19_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KHR_2016-06-07_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51KWP_2016-06-12_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HPK_2016-09-06_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JKP_2016-10-22_final.stac-item
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50KKU_2017-02-19_final
2017-04-13 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-04-13_final
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51JWH_2017-05-18_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JNL_2017-07-16_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HMH_2017-08-12_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50JKN_2017-10-04_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50KKB_2017-10-17_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50KQC_2017-11-13_final
2018-03-14 11:21:15	ga_s2am_ard_3-2-1_51HVD_2018-03-14_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51KWR_2018-03-27_final
2018-04-19 11:40:43	ga_s2am_ard_3-2-1_51KUU_2018-04-19_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KGQ_2018-05-15_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50KRC_2018-05-19_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHR_2018-06-04_final
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_50KKB_2018-06-14_final
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_51KWB_2018-06-28_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_51KUR_2018-08-17_final
2018-08-21 11:21:36	ga_s2am_ard_3-2-1_51HUD_2018-08-21_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JKT_2018-08-23_final
2018-10-03 11:26:17	ga_s2am_ard_3-2-1_51KWA_2018-10-03_final
2018-10-12 12:02:46	ga_s2am_ard_3-2-1_50KMC_2018-10-12_final
2018-12-22 11:34:17	ga_s2am_ard_3-2-1_51JWN_2018-12-22_final
2019-01-28 11:25:53	ga_s2am_ard_3-2-1_51JWG_2019-01-28_final
2019-02-09 12:04:28	ga_s2am_ard_3-2-1_49KGP_2019-02-09_final
2019-02-16 11:53:17	ga_s2am_ard_3-2-1_50KPC_2019-02-16_final
2019-04-01 11:32:20	ga_s2am_ard_3-2-1_51KVB_2019-04-01_final
2019-04-10 12:04:29	ga_s2am_ard_3-2-1_50KKU_2019-04-10_final
2019-04-17 11:53:13	ga_s2am_ard_3-2-1_50KRC_2019-04-17_final
2019-04-25 11:16:11	ga_s2am_ard_3-2-1_51JYF_2019-04-25_final
2019-04-28 11:24:15	ga_s2am_ard_3-2-1_51KXP_2019-04-28_final
2019-07-13 11:43:49	ga_s2am_ard_3-2-1_51KUR_2019-07-13_final
2019-10-21 11:43:32	ga_s2am_ard_3-2-1_51KUS_2019-10-21_final
2019-10-31 11:46:33	ga_s2am_ard_3-2-1_50HQK_2019-10-31_final
2019-11-29 12:13:53	ga_s2am_ard_3-2-1_50KKA_2019-11-29_final
2020-01-29 11:43:04	ga_s2am_ard_3-2-1_51KTT_2020-01-29_final
2020-02-14 12:05:22	ga_s2am_ard_3-2-1_49JGK_2020-02-14_final
2020-02-15 11:36:31	ga_s2am_ard_3-2-1_50HPK_2020-02-15_final
2020-02-22 11:25:22	ga_s2am_ard_3-2-1_51JWJ_2020-02-22_final
2020-02-28 11:42:08	ga_s2am_ard_3-2-1_51KVB_2020-02-28_final
2020-03-15 12:03:55	ga_s2am_ard_3-2-1_50KKA_2020-03-15_final
2020-03-19 11:42:38	ga_s2am_ard_3-2-1_51KVV_2020-03-19_final
2020-04-22 11:24:56	ga_s2am_ard_3-2-1_51JXL_2020-04-22_final
2020-05-18 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-05-18_final
2020-06-27 11:43:09	ga_s2am_ard_3-2-1_50KRD_2020-06-27_final
2020-07-01 11:25:00	ga_s2am_ard_3-2-1_51JXL_2020-07-01_final
2020-07-01 11:25:18	ga_s2am_ard_3-2-1_51JWK_2020-07-01_final
2020-07-23 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-07-23_final
2020-08-17 11:14:29	ga_s2am_ard_3-2-1_51JZN_2020-08-17_final
2020-08-23 11:36:23	ga_s2am_ard_3-2-1_51JTF_2020-08-23_final
2020-10-04 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-10-04_final
2020-10-08 11:56:17	ga_s2am_ard_3-2-1_50JLM_2020-10-08_final
2020-10-15 11:43:27	ga_s2am_ard_3-2-1_50KQC_2020-10-15_final
2020-10-22 11:32:52	ga_s2am_ard_3-2-1_51KVV_2020-10-22_final
2020-11-08 11:27:03	ga_s2am_ard_3-2-1_51HVC_2020-11-08_final
2021-01-03 11:43:44	ga_s2am_ard_3-2-1_51KUR_2021-01-03_final
2021-01-09 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-01-09_final
2021-02-22 11:42:13	ga_s2am_ard_3-2-1_51KVB_2021-02-22_final
2021-02-25 11:53:21	ga_s2am_ard_3-2-1_50KPC_2021-02-25_final
2021-03-04 11:45:57	ga_s2am_ard_3-2-1_51JTG_2021-03-04_final
2021-03-18 11:24:01	ga_s2am_ard_3-2-1_51KWQ_2021-03-18_final
2021-04-10 11:36:27	ga_s2am_ard_3-2-1_51HTE_2021-04-10_final
2021-05-19 12:04:13	ga_s2am_ard_3-2-1_50KKV_2021-05-19_final
2021-06-22 11:44:46	ga_s2am_ard_3-2-1_50JRS_2021-06-22_final
2021-07-16 11:25:45	ga_s2am_ard_3-2-1_51JWH_2021-07-16_final
2021-09-04 11:26:59	ga_s2am_ard_3-2-1_51HVC_2021-09-04_final
2021-11-16 11:32:26	ga_s2am_ard_3-2-1_51KXA_2021-11-16_final
2021-11-19 11:43:18	ga_s2am_ard_3-2-1_50KRC_2021-11-19_final
2021-11-29 11:43:21	ga_s2am_ard_3-2-1_50KQC_2021-11-29_final
2022-01-02 11:24:05	ga_s2am_ard_3-2-1_51KXQ_2022-01-02_final
2022-01-08 11:46:44	ga_s2am_ard_3-2-1_50HQJ_2022-01-08_final
2022-01-17 12:13:59	ga_s2am_ard_3-2-1_49KGR_2022-01-17_final
2022-01-24 12:03:23	ga_s2am_ard_3-2-1_50KMC_2022-01-24_final
2022-01-28 11:46:15	ga_s2am_ard_3-2-1_50JQL_2022-01-28_final
2022-05-14 12:06:08	ga_s2am_ard_3-2-1_50JLM_2022-05-14_final
2022-07-17 11:45:37	ga_s2am_ard_3-2-1_50JNQ_2022-07-17_final
2022-08-03 11:37:28	ga_s2am_ard_3-2-1_50HQG_2022-08-03_final.stac-item
2022-08-25 12:14:07	ga_s2am_ard_3-2-1_49KHR_2022-08-25_final.stac-item
2022-09-14 12:14:37	ga_s2am_ard_3-2-1_49KGP_2022-09-14_final.stac-item
2022-10-19 11:24:21	ga_s2am_ard_3-2-1_51JZN_2022-10-19_final.stac-item
2022-12-07 11:57:24	ga_s2am_ard_3-2-1_50HLG_2022-12-07_final.stac-item
2023-02-25 11:53:33	ga_s2am_ard_3-2-1_50KPB_2023-02-25_final.stac-item
2023-04-03 11:47:16	ga_s2am_ard_3-2-1_50HPG_2023-04-03_final.stac-item
2023-05-03 11:43:44	ga_s2am_ard_3-2-1_51KUR_2023-05-03_final.stac-item
2023-06-11 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-06-11_final.stac-item
2023-07-08 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2023-07-08_final.stac-item
2023-08-17 12:04:48	ga_s2am_ard_3-2-1_49JHN_2023-08-17_final.stac-item
2023-09-11 11:16:45	ga_s2am_ard_3-2-1_51HXD_2023-09-11_final.stac-item
2023-11-08 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-11-08_final.stac-item
2023-12-06 11:35:44	ga_s2am_ard_3-2-1_50JQN_2023-12-06_final.stac-item
2024-01-14 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2024-01-14_final.stac-item
2024-02-04 11:37:22	ga_s2am_ard_3-2-1_50HNG_2024-02-04_final.stac-item
2024-02-07 11:46:11	ga_s2am_ard_3-2-1_50JQL_2024-02-07_final.stac-item
2024-02-13 12:05:51	ga_s2am_ard_3-2-1_50JLN_2024-02-13_final.stac-item
2024-02-17 11:47:00	ga_s2am_ard_3-2-1_50HPH_2024-02-17_final.stac-item
2024-04-07 11:43:14	ga_s2am_ard_3-2-1_50KQC_2024-04-07_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