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
2015-10-05 11:56:28	ga_s2am_ard_3-2-1_50HLK_2015-10-05_final.stac-item
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_50JLR_2015-11-27_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLQ_2015-12-17_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JMT_2015-12-17_final.stac-item
2015-12-22 11:14:14	ga_s2am_ard_3-2-1_51JZN_2015-12-22_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51JXG_2015-12-25_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KHP_2015-12-30_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_50KKV_2015-12-30_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JPQ_2016-01-03_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2016-01-06_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_52JCM_2016-01-11_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JXH_2016-01-24_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51JWL_2016-02-06_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51KXP_2016-02-06_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51KZB_2016-02-06_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JMS_2016-02-15_final.stac-item
2016-02-20 11:12:10	ga_s2am_ard_3-2-1_52JET_2016-02-20_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JLQ_2016-03-06_final.stac-item
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_52JCL_2016-03-11_final.stac-item
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_52JCM_2016-03-11_final.stac-item
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_52JDQ_2016-03-11_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51KUQ_2016-03-20_final.stac-item
2016-03-29 12:13:41	ga_s2am_ard_3-2-1_50KKV_2016-03-29_final.stac-item
2016-04-06 11:25:50	ga_s2am_ard_3-2-1_51KZB_2016-04-06_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_52JCN_2016-04-10_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_51LUF_2016-04-19_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_52JBR_2016-04-23_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JLT_2016-04-25_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JXF_2016-05-03_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JXG_2016-05-03_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JYH_2016-05-03_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_52JBR_2016-05-03_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51JUN_2016-05-09_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_52JDP_2016-05-30_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51HVD_2016-06-05_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_50KKU_2016-06-07_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JMS_2016-06-14_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-06-17_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JGN_2016-06-17_final.stac-item
2016-06-22 11:26:10	ga_s2am_ard_3-2-1_51JXF_2016-06-22_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2016-08-26_final.stac-item
2016-12-16 11:08:59	ga_s2am_ard_3-2-1_52JCL_2016-12-16_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52JCL_2017-01-25_final
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50HLK_2017-01-27_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JMS_2017-01-30_final
2017-02-21 11:00:21	ga_s2am_ard_3-2-1_52JFM_2017-02-21_final
2017-03-01 12:03:41	ga_s2am_ard_3-2-1_50KLA_2017-03-01_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KHQ_2017-03-14_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_50KKU_2017-03-14_final
2017-03-16 11:12:06	ga_s2am_ard_3-2-1_52JET_2017-03-16_final
2017-04-10 12:03:46	ga_s2am_ard_3-2-1_50KMV_2017-04-10_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50KPF_2017-04-27_final.stac-item
2017-05-03 12:13:46	ga_s2am_ard_3-2-1_49KHQ_2017-05-03_final
2017-05-08 11:26:12	ga_s2am_ard_3-2-1_51JVF_2017-05-08_final
2017-05-08 11:26:12	ga_s2am_ard_3-2-1_51JWF_2017-05-08_final
2017-05-28 11:26:12	ga_s2am_ard_3-2-1_51JXF_2017-05-28_final
2017-09-02 11:12:01	ga_s2am_ard_3-2-1_52JET_2017-09-02_final
2017-11-11 11:12:13	ga_s2am_ard_3-2-1_52JCT_2017-11-11_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_50KKV_2017-11-19_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52JFM_2017-12-18_final
2019-01-13 12:14:14	ga_s2am_ard_3-2-1_50KKU_2019-01-13_final
2019-01-23 12:14:04	ga_s2am_ard_3-2-1_50KKV_2019-01-23_final
2019-01-23 12:14:15	ga_s2am_ard_3-2-1_50KKU_2019-01-23_final
2019-01-25 11:15:55	ga_s2am_ard_3-2-1_52JCL_2019-01-25_final
2019-01-28 11:25:42	ga_s2am_ard_3-2-1_51JYG_2019-01-28_final
2019-01-28 11:26:18	ga_s2am_ard_3-2-1_51HXE_2019-01-28_final
2019-01-31 11:36:30	ga_s2am_ard_3-2-1_51HVD_2019-01-31_final
2019-02-09 12:03:41	ga_s2am_ard_3-2-1_50KNA_2019-02-09_final
2019-02-27 11:26:03	ga_s2am_ard_3-2-1_51JXF_2019-02-27_final
2019-03-18 11:52:34	ga_s2am_ard_3-2-1_50KPF_2019-03-18_final.stac-item
2019-04-03 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-04-03_final
2019-04-27 11:52:41	ga_s2am_ard_3-2-1_50KPF_2019-04-27_final.stac-item
2019-08-01 12:14:12	ga_s2am_ard_3-2-1_50KKV_2019-08-01_final
2019-08-01 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2019-08-01_final
2019-08-01 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-08-01_final
2020-01-30 11:15:30	ga_s2am_ard_3-2-1_52JCN_2020-01-30_final
2020-02-21 11:52:32	ga_s2am_ard_3-2-1_50KPF_2020-02-21_final.stac-item
2020-03-02 11:52:33	ga_s2am_ard_3-2-1_50KPF_2020-03-02_final.stac-item
2020-07-20 11:52:42	ga_s2am_ard_3-2-1_50KPF_2020-07-20_final.stac-item
2020-07-30 11:52:43	ga_s2am_ard_3-2-1_50KPF_2020-07-30_final.stac-item
2020-08-29 11:52:39	ga_s2am_ard_3-2-1_50KQF_2020-08-29_final.stac-item
2020-08-29 11:52:42	ga_s2am_ard_3-2-1_50KPF_2020-08-29_final.stac-item
2020-09-06 11:15:16	ga_s2am_ard_3-2-1_52JDP_2020-09-06_final
2020-09-09 11:25:57	ga_s2am_ard_3-2-1_51JXG_2020-09-09_final
2020-09-13 11:05:42	ga_s2am_ard_3-2-1_52JFM_2020-09-13_final
2020-09-22 11:36:04	ga_s2am_ard_3-2-1_51JUG_2020-09-22_final
2020-10-01 12:03:32	ga_s2am_ard_3-2-1_50KLC_2020-10-01_final
2020-10-04 12:14:22	ga_s2am_ard_3-2-1_49KHQ_2020-10-04_final
2020-10-04 12:14:22	ga_s2am_ard_3-2-1_49KHP_2020-10-04_final
2021-12-06 11:37:26	ga_s2am_ard_3-2-1_50HNG_2021-12-06_final.stac-item
2021-12-27 11:05:40	ga_s2am_ard_3-2-1_52JFM_2021-12-27_final
2022-02-25 11:05:44	ga_s2am_ard_3-2-1_52JCN_2022-02-25_final
2022-03-09 11:46:57	ga_s2am_ard_3-2-1_50HQH_2022-03-09_final
2022-06-01 11:27:15	ga_s2am_ard_3-2-1_51HTC_2022-06-01_final
2023-01-03 11:46:52	ga_s2am_ard_3-2-1_50HQH_2023-01-03_final.stac-item
2023-03-08 11:25:48	ga_s2am_ard_3-2-1_51JXG_2023-03-08_final.stac-item
2023-03-08 11:26:03	ga_s2am_ard_3-2-1_51JXF_2023-03-08_final.stac-item
2023-11-19 11:47:24	ga_s2am_ard_3-2-1_50HLG_2023-11-19_final.stac-item
2024-01-08 11:46:49	ga_s2am_ard_3-2-1_50HQH_2024-01-08_final.stac-item
2024-02-17 11:46:51	ga_s2am_ard_3-2-1_50HQH_2024-02-17_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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