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
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JPL_2016-01-20_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HNK_2016-03-03_final.stac-item
2016-06-05 11:26:25	ga_s2am_ard_3-2-1_51KVB_2016-06-05_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50KPF_2016-10-09_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HQJ_2016-10-26_final.stac-item
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_51KVS_2016-11-15_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51KXT_2016-12-29_final.stac-item
2017-03-04 12:13:36	ga_s2am_ard_3-2-1_49KHR_2017-03-04_final
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51KXS_2017-04-28_final
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JGM_2017-05-23_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50KQG_2017-08-05_final.stac-item
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KWT_2017-09-28_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KXS_2017-11-27_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51HTC_2017-12-17_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KXT_2017-12-17_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGM_2018-03-26_final
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51KTU_2018-05-09_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KXU_2018-05-23_final
2018-06-02 11:17:00	ga_s2am_ard_3-2-1_51KXU_2018-06-02_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51KWQ_2018-07-25_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50HPG_2018-08-04_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KKB_2018-08-23_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KWS_2018-09-03_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51KVT_2018-10-13_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51KVR_2018-10-23_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_50JMR_2018-11-01_final
2018-11-12 11:32:56	ga_s2am_ard_3-2-1_51KVU_2018-11-12_final
2018-11-15 11:47:19	ga_s2am_ard_3-2-1_50HMG_2018-11-15_final.stac-item
2018-11-22 11:33:35	ga_s2am_ard_3-2-1_51KWR_2018-11-22_final
2019-03-09 11:23:52	ga_s2am_ard_3-2-1_51KXQ_2019-03-09_final
2019-03-12 11:32:59	ga_s2am_ard_3-2-1_51KWU_2019-03-12_final
2019-08-09 11:32:59	ga_s2am_ard_3-2-1_51KXU_2019-08-09_final
2019-09-08 11:33:37	ga_s2am_ard_3-2-1_51KXR_2019-09-08_final
2019-10-28 11:33:05	ga_s2am_ard_3-2-1_51KVU_2019-10-28_final
2019-11-04 11:23:46	ga_s2am_ard_3-2-1_51KXR_2019-11-04_final
2020-01-03 11:22:55	ga_s2am_ard_3-2-1_51KXU_2020-01-03_final
2020-01-09 11:44:17	ga_s2am_ard_3-2-1_50KPU_2020-01-09_final
2020-01-26 11:33:46	ga_s2am_ard_3-2-1_51KXQ_2020-01-26_final
2020-01-29 11:43:05	ga_s2am_ard_3-2-1_50KRC_2020-01-29_final
2020-01-29 11:43:22	ga_s2am_ard_3-2-1_51KUS_2020-01-29_final
2020-03-29 11:42:42	ga_s2am_ard_3-2-1_51KUV_2020-03-29_final
2020-07-01 11:26:59	ga_s2am_ard_3-2-1_51HWC_2020-07-01_final.stac-item
2020-07-27 11:42:19	ga_s2am_ard_3-2-1_51KVB_2020-07-27_final
2020-08-03 11:33:08	ga_s2am_ard_3-2-1_51KXT_2020-08-03_final
2020-08-23 11:33:44	ga_s2am_ard_3-2-1_51KXR_2020-08-23_final
2020-08-26 11:42:47	ga_s2am_ard_3-2-1_51KVV_2020-08-26_final
2020-10-05 11:43:35	ga_s2am_ard_3-2-1_51KUS_2020-10-05_final
2020-11-04 11:43:40	ga_s2am_ard_3-2-1_51KVR_2020-11-04_final
2020-12-13 12:13:55	ga_s2am_ard_3-2-1_49KGR_2020-12-13_final
2021-01-14 11:14:56	ga_s2am_ard_3-2-1_51JYL_2021-01-14_final
2021-02-08 12:04:42	ga_s2am_ard_3-2-1_50JKT_2021-02-08_final
2021-04-13 11:43:12	ga_s2am_ard_3-2-1_51KTT_2021-04-13_final
2021-05-07 11:26:57	ga_s2am_ard_3-2-1_51HVC_2021-05-07_final
2021-06-19 11:33:02	ga_s2am_ard_3-2-1_51KVU_2021-06-19_final
2021-07-09 11:33:05	ga_s2am_ard_3-2-1_51KYT_2021-07-09_final
2021-08-14 11:53:13	ga_s2am_ard_3-2-1_50KRC_2021-08-14_final
2021-08-15 11:23:45	ga_s2am_ard_3-2-1_51KXR_2021-08-15_final
2021-09-20 11:42:48	ga_s2am_ard_3-2-1_51KUV_2021-09-20_final
2021-09-27 11:33:26	ga_s2am_ard_3-2-1_51KUT_2021-09-27_final
2021-11-06 11:33:19	ga_s2am_ard_3-2-1_51KVT_2021-11-06_final
2021-12-09 11:43:10	ga_s2am_ard_3-2-1_51KVT_2021-12-09_final
2022-05-05 11:37:02	ga_s2am_ard_3-2-1_51HUC_2022-05-05_final
2022-05-24 12:05:48	ga_s2am_ard_3-2-1_50JKP_2022-05-24_final
2022-06-03 12:06:03	ga_s2am_ard_3-2-1_50JKN_2022-06-03_final
2022-07-14 11:33:21	ga_s2am_ard_3-2-1_51KXT_2022-07-14_final
2022-07-20 11:55:32	ga_s2am_ard_3-2-1_50JNQ_2022-07-20_final
2022-08-26 11:42:55	ga_s2am_ard_3-2-1_51KVV_2022-08-26_final
2022-10-12 11:33:33	ga_s2am_ard_3-2-1_51KWS_2022-10-12_final.stac-item
2022-10-22 11:33:32	ga_s2am_ard_3-2-1_51KVS_2022-10-22_final.stac-item
2022-12-24 11:42:55	ga_s2am_ard_3-2-1_51KVU_2022-12-24_final.stac-item
2023-01-10 11:34:16	ga_s2am_ard_3-2-1_51KUP_2023-01-10_final.stac-item
2023-01-23 11:43:14	ga_s2am_ard_3-2-1_50KRC_2023-01-23_final.stac-item
2023-02-15 11:52:17	ga_s2am_ard_3-2-1_50KQG_2023-02-15_final.stac-item
2023-03-20 12:05:54	ga_s2am_ard_3-2-1_50JKN_2023-03-20_final.stac-item
2023-03-27 11:53:15	ga_s2am_ard_3-2-1_50KQC_2023-03-27_final.stac-item
2023-04-02 12:13:53	ga_s2am_ard_3-2-1_50KKA_2023-04-02_final.stac-item
2023-04-04 11:16:58	ga_s2am_ard_3-2-1_51HWC_2023-04-04_final.stac-item
2023-04-23 11:42:45	ga_s2am_ard_3-2-1_51KVV_2023-04-23_final.stac-item
2023-04-26 11:55:59	ga_s2am_ard_3-2-1_50JKN_2023-04-26_final.stac-item
2023-04-27 11:24:12	ga_s2am_ard_3-2-1_51KXP_2023-04-27_final.stac-item
2023-05-23 11:43:06	ga_s2am_ard_3-2-1_51KTU_2023-05-23_final.stac-item
2023-05-27 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2023-05-27_final.stac-item
2023-06-09 11:33:38	ga_s2am_ard_3-2-1_51KUS_2023-06-09_final.stac-item
2023-06-12 11:42:13	ga_s2am_ard_3-2-1_51KWB_2023-06-12_final.stac-item
2023-06-29 11:32:59	ga_s2am_ard_3-2-1_51KXU_2023-06-29_final.stac-item
2023-07-19 11:37:21	ga_s2am_ard_3-2-1_50HQG_2023-07-19_final.stac-item
2023-08-18 11:33:01	ga_s2am_ard_3-2-1_51KXU_2023-08-18_final.stac-item
2023-08-18 11:33:40	ga_s2am_ard_3-2-1_51KUS_2023-08-18_final.stac-item
2023-10-03 11:53:23	ga_s2am_ard_3-2-1_50KPC_2023-10-03_final.stac-item
2023-10-03 11:56:27	ga_s2am_ard_3-2-1_50JLL_2023-10-03_final.stac-item
2023-10-27 11:33:27	ga_s2am_ard_3-2-1_51KWS_2023-10-27_final.stac-item
2023-11-03 11:23:14	ga_s2am_ard_3-2-1_51KYS_2023-11-03_final.stac-item
2023-11-09 11:42:41	ga_s2am_ard_3-2-1_51KVV_2023-11-09_final.stac-item
2023-11-29 11:42:34	ga_s2am_ard_3-2-1_51KVV_2023-11-29_final.stac-item
2023-12-06 11:32:40	ga_s2am_ard_3-2-1_51KVV_2023-12-06_final.stac-item
2023-12-29 11:42:39	ga_s2am_ard_3-2-1_51KVV_2023-12-29_final.stac-item
2023-12-29 11:43:31	ga_s2am_ard_3-2-1_51KUS_2023-12-29_final.stac-item
2024-03-22 11:23:26	ga_s2am_ard_3-2-1_51KYS_2024-03-22_final.stac-item
2024-04-01 11:23:56	ga_s2am_ard_3-2-1_51KXQ_2024-04-01_final.stac-item
2024-04-14 11:33:58	ga_s2am_ard_3-2-1_51KWQ_2024-04-14_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

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