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
2015-12-21 11:43:03	ga_s2am_ard_3-2-1_51KWB_2015-12-21_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51LZE_2015-12-25_final.stac-item
2016-04-08 12:14:44	ga_s2am_ard_3-2-1_49JGK_2016-04-08_final.stac-item
2016-04-28 12:13:47	ga_s2am_ard_3-2-1_49KGR_2016-04-28_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51LVC_2016-05-09_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_52KFF_2016-05-10_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JLP_2016-07-21_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HMJ_2016-09-26_final.stac-item
2016-11-10 10:52:15	ga_s2am_ard_3-2-1_52KHA_2016-11-10_final.stac-item
2016-11-26 11:10:57	ga_s2am_ard_3-2-1_52KEV_2016-11-26_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50HQJ_2016-12-12_final
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_52KEV_2016-12-23_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51LWC_2017-01-24_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51KWT_2017-02-10_final
2017-04-25 11:12:16	ga_s2am_ard_3-2-1_52KDD_2017-04-25_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51HUE_2017-05-11_final
2017-07-31 10:57:17	ga_s2am_ard_3-2-1_52KHB_2017-07-31_final
2017-08-31 10:32:11	ga_s2am_ard_3-2-1_53HNB_2017-08-31_final
2017-09-02 11:12:01	ga_s2am_ard_3-2-1_51HYD_2017-09-02_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JTH_2017-09-08_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGK_2017-11-29_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50KQA_2017-12-03_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KTR_2018-02-18_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52KDB_2018-02-19_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_50HPK_2018-06-05_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51JTH_2018-10-13_final
2018-12-19 11:21:23	ga_s2am_ard_3-2-1_52LDJ_2018-12-19_final
2019-01-01 11:32:31	ga_s2am_ard_3-2-1_51KYV_2019-01-01_final
2019-02-22 10:36:24	ga_s2am_ard_3-2-1_53HLD_2019-02-22_final
2019-05-19 10:54:25	ga_s2am_ard_3-2-1_52JFT_2019-05-19_final
2019-09-20 10:36:07	ga_s2am_ard_3-2-1_53HNE_2019-09-20_final
2019-10-16 10:53:49	ga_s2am_ard_3-2-1_52KGV_2019-10-16_final
2019-10-31 11:46:04	ga_s2am_ard_3-2-1_50JQM_2019-10-31_final
2019-12-20 11:43:56	ga_s2am_ard_3-2-1_51KTQ_2019-12-20_final
2020-01-09 11:43:56	ga_s2am_ard_3-2-1_51KTQ_2020-01-09_final
2020-02-12 11:22:15	ga_s2am_ard_3-2-1_52KBF_2020-02-12_final
2020-02-12 11:23:06	ga_s2am_ard_3-2-1_51KXT_2020-02-12_final
2020-05-19 11:12:58	ga_s2am_ard_3-2-1_52KCD_2020-05-19_final
2020-06-13 10:27:00	ga_s2am_ard_3-2-1_53HNB_2020-06-13_final
2020-08-09 11:56:36	ga_s2am_ard_3-2-1_50HNK_2020-08-09_final
2020-08-20 11:25:22	ga_s2am_ard_3-2-1_51JVK_2020-08-20_final
2020-10-16 11:15:57	ga_s2am_ard_3-2-1_52JBM_2020-10-16_final
2020-12-11 11:31:53	ga_s2am_ard_3-2-1_51LXC_2020-12-11_final
2020-12-12 11:03:10	ga_s2am_ard_3-2-1_52KGB_2020-12-12_final
2020-12-12 11:03:31	ga_s2am_ard_3-2-1_52KEA_2020-12-12_final
2020-12-12 11:04:44	ga_s2am_ard_3-2-1_52JER_2020-12-12_final
2021-01-30 11:33:42	ga_s2am_ard_3-2-1_51KWR_2021-01-30_final
2021-02-01 12:15:20	ga_s2am_ard_3-2-1_49JGK_2021-02-01_final
2021-02-02 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-02-02_final
2021-03-12 11:03:34	ga_s2am_ard_3-2-1_52KEA_2021-03-12_final
2021-03-18 11:22:11	ga_s2am_ard_3-2-1_51KYB_2021-03-18_final
2021-03-18 11:22:40	ga_s2am_ard_3-2-1_51KYV_2021-03-18_final
2021-03-24 11:47:01	ga_s2am_ard_3-2-1_50HPH_2021-03-24_final
2021-04-09 12:03:33	ga_s2am_ard_3-2-1_50KMB_2021-04-09_final
2021-04-12 12:13:49	ga_s2am_ard_3-2-1_49KHR_2021-04-12_final
2021-05-08 10:55:59	ga_s2am_ard_3-2-1_52JFL_2021-05-08_final
2021-05-24 11:15:22	ga_s2am_ard_3-2-1_52JBP_2021-05-24_final
2021-05-27 11:24:16	ga_s2am_ard_3-2-1_51KWP_2021-05-27_final
2021-06-02 11:43:48	ga_s2am_ard_3-2-1_51KTR_2021-06-02_final
2021-07-29 11:36:30	ga_s2am_ard_3-2-1_50JPL_2021-07-29_final
2022-01-16 11:03:28	ga_s2am_ard_3-2-1_52KGA_2022-01-16_final
2022-01-29 11:12:11	ga_s2am_ard_3-2-1_52KCG_2022-01-29_final
2022-02-28 11:13:57	ga_s2am_ard_3-2-1_51KZQ_2022-02-28_final
2022-04-13 10:52:33	ga_s2am_ard_3-2-1_52KHE_2022-04-13_final
2022-04-28 11:43:49	ga_s2am_ard_3-2-1_51KUR_2022-04-28_final
2022-05-01 11:53:51	ga_s2am_ard_3-2-1_50KQA_2022-05-01_final
2022-05-18 11:44:11	ga_s2am_ard_3-2-1_50KQV_2022-05-18_final
2022-05-28 11:44:06	ga_s2am_ard_3-2-1_51KUQ_2022-05-28_final
2022-06-04 11:33:35	ga_s2am_ard_3-2-1_51KWS_2022-06-04_final
2022-06-11 11:23:31	ga_s2am_ard_3-2-1_51KZS_2022-06-11_final
2022-06-11 11:25:34	ga_s2am_ard_3-2-1_51JXJ_2022-06-11_final
2022-07-18 11:16:24	ga_s2am_ard_3-2-1_52JBL_2022-07-18_final
2022-08-18 10:46:37	ga_s2am_ard_3-2-1_53HLD_2022-08-18_final
2022-09-02 11:34:26	ga_s2am_ard_3-2-1_51KVP_2022-09-02_final.stac-item
2022-09-20 10:55:21	ga_s2am_ard_3-2-1_52JGP_2022-09-20_final.stac-item
2022-10-05 11:47:13	ga_s2am_ard_3-2-1_50HNH_2022-10-05_final.stac-item
2022-10-06 11:16:12	ga_s2am_ard_3-2-1_52JBL_2022-10-06_final.stac-item
2022-10-06 11:16:44	ga_s2am_ard_3-2-1_51HYD_2022-10-06_final.stac-item
2022-10-19 11:25:36	ga_s2am_ard_3-2-1_51JYH_2022-10-19_final.stac-item
2022-12-12 11:03:23	ga_s2am_ard_3-2-1_52KHA_2022-12-12_final.stac-item
2022-12-12 11:03:46	ga_s2am_ard_3-2-1_52KFV_2022-12-12_final.stac-item
2022-12-21 11:33:54	ga_s2am_ard_3-2-1_51KWQ_2022-12-21_final.stac-item
2022-12-25 11:13:28	ga_s2am_ard_3-2-1_52KEA_2022-12-25_final.stac-item
2023-02-23 11:12:26	ga_s2am_ard_3-2-1_52KFE_2023-02-23_final.stac-item
2023-04-01 11:04:34	ga_s2am_ard_3-2-1_52JDS_2023-04-01_final.stac-item
2023-04-03 11:42:45	ga_s2am_ard_3-2-1_51KUV_2023-04-03_final.stac-item
2023-04-08 10:56:00	ga_s2am_ard_3-2-1_52JFL_2023-04-08_final.stac-item
2023-06-19 11:35:45	ga_s2am_ard_3-2-1_51JVH_2023-06-19_final.stac-item
2023-06-20 11:04:51	ga_s2am_ard_3-2-1_52JER_2023-06-20_final.stac-item
2023-06-27 10:53:32	ga_s2am_ard_3-2-1_52KHA_2023-06-27_final.stac-item
2023-12-18 10:36:17	ga_s2am_ard_3-2-1_53HND_2023-12-18_final.stac-item
2023-12-18 10:36:32	ga_s2am_ard_3-2-1_53HNC_2023-12-18_final.stac-item
2024-01-06 11:03:09	ga_s2am_ard_3-2-1_52KHB_2024-01-06_final.stac-item
2024-01-22 11:23:13	ga_s2am_ard_3-2-1_52KBB_2024-01-22_final.stac-item
2024-01-24 10:26:34	ga_s2am_ard_3-2-1_53HNC_2024-01-24_final.stac-item
2024-02-24 11:31:48	ga_s2am_ard_3-2-1_51LYC_2024-02-24_final.stac-item
2024-03-09 11:15:48	ga_s2am_ard_3-2-1_52JCM_2024-03-09_final.stac-item
2024-03-15 11:35:48	ga_s2am_ard_3-2-1_51JTH_2024-03-15_final.stac-item
2024-03-16 11:00:30	ga_s2am_ard_3-2-1_52LHN_2024-03-16_final.stac-item
2024-04-08 12:50:59	ga_s2am_ard_3-2-1_48LWP_2024-04-08_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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