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
2015-08-30 11:36:03	ga_s2am_ard_3-2-1_51JUG_2015-08-30_final.stac-item
2015-11-14 11:47:22	ga_s2am_ard_3-2-1_50KPF_2015-11-14_final.stac-item
2015-12-21 11:43:03	ga_s2am_ard_3-2-1_51KUU_2015-12-21_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HPJ_2015-12-21_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_51JTG_2015-12-21_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_51KUT_2015-12-21_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_51KVR_2015-12-21_final.stac-item
2016-01-14 11:26:24	ga_s2am_ard_3-2-1_51JXF_2016-01-14_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JPP_2016-02-02_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51KWB_2016-02-19_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51KUR_2016-03-20_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HQJ_2016-04-19_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_51KWA_2016-04-19_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JZM_2016-04-23_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51JUM_2016-05-09_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51KVR_2016-05-09_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51HUC_2016-05-16_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51JWJ_2016-05-16_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49KHR_2016-06-07_final.stac-item
2016-11-18 11:43:43	ga_s2am_ard_3-2-1_50KQF_2016-11-18_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50KQG_2016-12-08_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51KUS_2016-12-12_final
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50KNC_2016-12-21_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_50KKU_2016-12-24_final
2017-03-01 12:03:41	ga_s2am_ard_3-2-1_50KKA_2017-03-01_final
2017-03-01 12:03:41	ga_s2am_ard_3-2-1_50KKV_2017-03-01_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KHP_2017-03-14_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_51JUL_2017-03-25_final
2017-07-26 11:56:09	ga_s2am_ard_3-2-1_50JLL_2017-07-26_final
2017-09-30 12:13:18	ga_s2am_ard_3-2-1_49KHR_2017-09-30_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KGQ_2017-09-30_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KGR_2017-09-30_final
2017-11-01 11:12:01	ga_s2am_ard_3-2-1_51HWC_2017-11-01_final.stac-item
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_50KKV_2017-11-19_final
2018-05-12 11:48:21	ga_s2am_ard_3-2-1_50KQG_2018-05-12_final.stac-item
2019-03-15 11:43:21	ga_s2am_ard_3-2-1_51KVS_2019-03-15_final
2019-04-03 12:14:28	ga_s2am_ard_3-2-1_49KGP_2019-04-03_final
2019-04-21 11:33:30	ga_s2am_ard_3-2-1_51KWS_2019-04-21_final
2019-08-01 12:14:12	ga_s2am_ard_3-2-1_50KKV_2019-08-01_final
2019-08-01 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2019-08-01_final
2019-08-29 11:33:28	ga_s2am_ard_3-2-1_51KWS_2019-08-29_final
2019-09-01 11:43:15	ga_s2am_ard_3-2-1_51KUT_2019-09-01_final
2019-09-21 11:43:15	ga_s2am_ard_3-2-1_51KUT_2019-09-21_final
2019-11-26 12:03:44	ga_s2am_ard_3-2-1_50KNA_2019-11-26_final
2019-11-27 11:33:22	ga_s2am_ard_3-2-1_51KUT_2019-11-27_final
2019-11-29 12:13:54	ga_s2am_ard_3-2-1_49KHR_2019-11-29_final
2019-11-30 11:43:28	ga_s2am_ard_3-2-1_51KUS_2019-11-30_final
2019-12-03 11:52:36	ga_s2am_ard_3-2-1_50KPF_2019-12-03_final.stac-item
2019-12-14 11:23:57	ga_s2am_ard_3-2-1_51KWQ_2019-12-14_final
2020-01-19 11:43:08	ga_s2am_ard_3-2-1_51KUT_2020-01-19_final
2020-02-05 11:33:14	ga_s2am_ard_3-2-1_51KUT_2020-02-05_final
2020-05-15 11:33:32	ga_s2am_ard_3-2-1_51KWS_2020-05-15_final
2020-07-26 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-07-26_final
2020-09-12 11:33:39	ga_s2am_ard_3-2-1_51KVR_2020-09-12_final
2020-09-22 11:33:39	ga_s2am_ard_3-2-1_51KUS_2020-09-22_final
2020-09-22 11:34:08	ga_s2am_ard_3-2-1_51KUQ_2020-09-22_final
2020-09-25 11:43:02	ga_s2am_ard_3-2-1_51KVU_2020-09-25_final
2020-09-25 11:43:05	ga_s2am_ard_3-2-1_51KUU_2020-09-25_final
2020-09-25 11:43:24	ga_s2am_ard_3-2-1_50KRC_2020-09-25_final
2020-09-25 11:43:49	ga_s2am_ard_3-2-1_51KUR_2020-09-25_final
2020-10-01 12:03:32	ga_s2am_ard_3-2-1_50KLC_2020-10-01_final
2020-10-02 11:32:20	ga_s2am_ard_3-2-1_51KWB_2020-10-02_final
2020-10-02 11:33:51	ga_s2am_ard_3-2-1_51KUR_2020-10-02_final
2020-10-02 11:33:58	ga_s2am_ard_3-2-1_51KUR_2020-10-02_final
2020-10-04 12:14:22	ga_s2am_ard_3-2-1_50KKV_2020-10-04_final
2020-10-04 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-10-04_final
2020-10-04 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-10-04_final
2021-01-29 12:03:44	ga_s2am_ard_3-2-1_50KNA_2021-01-29_final
2021-10-20 11:46:58	ga_s2am_ard_3-2-1_50HQH_2021-10-20_final
2021-11-06 11:33:26	ga_s2am_ard_3-2-1_51KUT_2021-11-06_final
2021-11-25 12:06:10	ga_s2am_ard_3-2-1_50JKM_2021-11-25_final
2021-11-26 11:33:48	ga_s2am_ard_3-2-1_51KUR_2021-11-26_final
2021-12-16 11:33:34	ga_s2am_ard_3-2-1_51KUS_2021-12-16_final
2021-12-26 11:33:35	ga_s2am_ard_3-2-1_51KUS_2021-12-26_final
2022-01-04 12:06:06	ga_s2am_ard_3-2-1_50JLM_2022-01-04_final
2022-01-08 11:43:30	ga_s2am_ard_3-2-1_51KUS_2022-01-08_final
2022-01-15 11:33:35	ga_s2am_ard_3-2-1_51KUS_2022-01-15_final
2022-02-04 11:33:16	ga_s2am_ard_3-2-1_51KVT_2022-02-04_final
2022-03-13 11:27:11	ga_s2am_ard_3-2-1_51HTC_2022-03-13_final
2022-06-30 11:57:22	ga_s2am_ard_3-2-1_50HLH_2022-06-30_final
2022-07-03 12:05:57	ga_s2am_ard_3-2-1_49JGJ_2022-07-03_final
2022-12-20 12:06:03	ga_s2am_ard_3-2-1_50JLM_2022-12-20_final.stac-item
2023-05-16 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2023-05-16_final.stac-item
2023-07-15 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-07-15_final.stac-item
2023-08-11 11:47:07	ga_s2am_ard_3-2-1_50HPH_2023-08-11_final.stac-item
2023-11-28 12:13:47	ga_s2am_ard_3-2-1_50KKA_2023-11-28_final.stac-item
2023-12-05 12:03:16	ga_s2am_ard_3-2-1_50KMC_2023-12-05_final.stac-item
2023-12-06 11:32:08	ga_s2am_ard_3-2-1_51KWB_2023-12-06_final.stac-item
2023-12-09 11:42:04	ga_s2am_ard_3-2-1_51KWB_2023-12-09_final.stac-item
2023-12-09 11:43:24	ga_s2am_ard_3-2-1_51KUS_2023-12-09_final.stac-item
2023-12-13 11:27:03	ga_s2am_ard_3-2-1_51HTC_2023-12-13_final.stac-item
2023-12-16 11:33:23	ga_s2am_ard_3-2-1_51KWS_2023-12-16_final.stac-item
2024-01-15 11:33:53	ga_s2am_ard_3-2-1_51KVQ_2024-01-15_final.stac-item
2024-01-15 11:37:00	ga_s2am_ard_3-2-1_50HPH_2024-01-15_final.stac-item
2024-02-13 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2024-02-13_final.stac-item
2024-03-25 11:37:08	ga_s2am_ard_3-2-1_50HPH_2024-03-25_final.stac-item
2024-03-27 12:13:55	ga_s2am_ard_3-2-1_50KKA_2024-03-27_final.stac-item
2024-03-27 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2024-03-27_final.stac-item
2024-04-03 12:03:31	ga_s2am_ard_3-2-1_50KNB_2024-04-03_final.stac-item
2024-04-13 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2024-04-13_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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