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
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HLH_2015-11-14_final.stac-item
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_49KHR_2015-12-27_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50HMK_2016-01-20_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_50HPK_2016-02-06_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_50JPL_2016-02-06_final.stac-item
2016-02-12 11:56:22	ga_s2am_ard_3-2-1_50HNK_2016-02-12_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JLT_2016-03-03_final.stac-item
2016-04-10 11:16:26	ga_s2am_ard_3-2-1_51HXD_2016-04-10_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JVJ_2016-04-23_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_49JGN_2016-04-25_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JNM_2016-04-29_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JPS_2016-04-29_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51JXH_2016-04-30_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51JYM_2016-04-30_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JVG_2016-05-03_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50KPU_2016-05-09_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPG_2016-06-05_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KHS_2016-07-14_final.stac-item
2016-09-30 11:26:04	ga_s2am_ard_3-2-1_51JVF_2016-09-30_final.stac-item
2016-10-12 12:03:43	ga_s2am_ard_3-2-1_50KLA_2016-10-12_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_51JVF_2016-10-13_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HNJ_2016-10-26_final.stac-item
2016-11-06 11:14:16	ga_s2am_ard_3-2-1_51HWC_2016-11-06_final.stac-item
2016-11-09 11:26:07	ga_s2am_ard_3-2-1_51HWE_2016-11-09_final.stac-item
2016-11-09 11:26:07	ga_s2am_ard_3-2-1_51JXF_2016-11-09_final.stac-item
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HMH_2017-02-16_final
2017-04-11 11:36:02	ga_s2am_ard_3-2-1_50JQM_2017-04-11_final
2017-04-11 11:36:02	ga_s2am_ard_3-2-1_51JVF_2017-04-11_final
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49KHS_2017-04-20_final.stac-item
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HLK_2017-05-27_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KHS_2017-08-01_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JHN_2017-10-07_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HLH_2017-10-31_final
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_50KMA_2017-12-26_final
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_49JGM_2017-12-26_final
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_49JHM_2017-12-26_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KUT_2018-01-06_final
2018-02-05 11:35:59	ga_s2am_ard_3-2-1_51JVF_2018-02-05_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HMJ_2018-02-08_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HMJ_2018-02-11_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HPG_2018-03-30_final.stac-item
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JPS_2018-05-19_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KUT_2018-05-26_final
2018-05-30 11:13:18	ga_s2am_ard_3-2-1_51HWC_2018-05-30_final.stac-item
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HPG_2018-06-15_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JKN_2018-06-21_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JKP_2018-07-11_final
2018-08-08 11:13:24	ga_s2am_ard_3-2-1_51HWC_2018-08-08_final.stac-item
2018-08-28 11:10:58	ga_s2am_ard_3-2-1_51HWC_2018-08-28_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HNG_2018-09-06_final.stac-item
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_50HNG_2018-09-23_final.stac-item
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_50HPG_2018-09-23_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-10-02_final.stac-item
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-10-05_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_50KKV_2018-10-05_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JPM_2018-10-26_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HNK_2018-10-26_final
2018-11-12 11:34:20	ga_s2am_ard_3-2-1_51JUN_2018-11-12_final
2018-11-22 11:33:17	ga_s2am_ard_3-2-1_51KVS_2018-11-22_final
2018-11-22 11:33:24	ga_s2am_ard_3-2-1_51KVS_2018-11-22_final
2018-12-02 11:37:12	ga_s2am_ard_3-2-1_50HPG_2018-12-02_final.stac-item
2019-01-03 12:14:02	ga_s2am_ard_3-2-1_50KKV_2019-01-03_final
2019-01-04 11:43:23	ga_s2am_ard_3-2-1_51KUS_2019-01-04_final
2019-01-04 11:44:25	ga_s2am_ard_3-2-1_50JRT_2019-01-04_final
2019-01-04 11:44:25	ga_s2am_ard_3-2-1_51JTN_2019-01-04_final
2019-07-23 11:47:07	ga_s2am_ard_3-2-1_50HPH_2019-07-23_final
2019-08-02 11:42:21	ga_s2am_ard_3-2-1_51KUB_2019-08-02_final.stac-item
2019-10-05 11:26:31	ga_s2am_ard_3-2-1_51HVE_2019-10-05_final
2019-10-18 11:36:26	ga_s2am_ard_3-2-1_51HVE_2019-10-18_final
2019-12-03 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2019-12-03_final
2019-12-13 11:57:01	ga_s2am_ard_3-2-1_50HMH_2019-12-13_final
2020-02-11 11:56:44	ga_s2am_ard_3-2-1_50HMJ_2020-02-11_final
2020-02-18 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-02-18_final
2020-04-05 11:36:25	ga_s2am_ard_3-2-1_51HUE_2020-04-05_final
2020-05-12 11:26:48	ga_s2am_ard_3-2-1_51HVD_2020-05-12_final
2020-06-26 12:13:45	ga_s2am_ard_3-2-1_50KKB_2020-06-26_final
2020-10-09 11:26:26	ga_s2am_ard_3-2-1_51HVE_2020-10-09_final
2020-12-14 11:42:14	ga_s2am_ard_3-2-1_51KUB_2020-12-14_final.stac-item
2020-12-25 11:16:58	ga_s2am_ard_3-2-1_51HWC_2020-12-25_final.stac-item
2020-12-27 11:57:05	ga_s2am_ard_3-2-1_50HMH_2020-12-27_final
2021-01-03 11:43:03	ga_s2am_ard_3-2-1_51KTU_2021-01-03_final
2021-01-13 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-01-13_final
2021-03-27 11:57:21	ga_s2am_ard_3-2-1_50HLG_2021-03-27_final.stac-item
2021-03-31 11:36:08	ga_s2am_ard_3-2-1_51JVF_2021-03-31_final
2021-04-06 11:55:52	ga_s2am_ard_3-2-1_50JLN_2021-04-06_final
2021-04-23 11:47:23	ga_s2am_ard_3-2-1_50HLG_2021-04-23_final.stac-item
2021-04-29 12:03:38	ga_s2am_ard_3-2-1_50KLB_2021-04-29_final
2021-04-29 12:03:42	ga_s2am_ard_3-2-1_49KHS_2021-04-29_final.stac-item
2021-05-24 11:16:59	ga_s2am_ard_3-2-1_51HWC_2021-05-24_final.stac-item
2021-08-17 12:03:43	ga_s2am_ard_3-2-1_50KLB_2021-08-17_final
2021-08-21 11:44:25	ga_s2am_ard_3-2-1_50KPU_2021-08-21_final
2021-09-27 11:36:32	ga_s2am_ard_3-2-1_51HUE_2021-09-27_final
2021-09-29 12:13:44	ga_s2am_ard_3-2-1_49KHS_2021-09-29_final.stac-item
2022-02-26 12:13:43	ga_s2am_ard_3-2-1_49KHS_2022-02-26_final.stac-item
2022-04-02 11:26:13	ga_s2am_ard_3-2-1_51JWF_2022-04-02_final
2022-04-02 11:26:31	ga_s2am_ard_3-2-1_51HVE_2022-04-02_final
2022-05-15 11:33:35	ga_s2am_ard_3-2-1_51KVS_2022-05-15_final
2023-01-20 11:36:18	ga_s2am_ard_3-2-1_51HVE_2023-01-20_final.stac-item
2023-01-20 11:37:12	ga_s2am_ard_3-2-1_50HQG_2023-01-20_final.stac-item
2023-06-18 12:06:04	ga_s2am_ard_3-2-1_50JLM_2023-06-18_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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