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
2015-09-11 12:13:46	ga_s2am_ard_3-2-1_49KGR_2015-09-11_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JXJ_2015-11-25_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_52KCB_2015-12-25_final.stac-item
2016-01-06 10:27:28	ga_s2am_ard_3-2-1_53HPB_2016-01-06_final.stac-item
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_52KBB_2016-01-31_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JUG_2016-06-05_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_50HQH_2016-09-13_final.stac-item
2016-10-12 10:25:59	ga_s2am_ard_3-2-1_53HPA_2016-10-12_final.stac-item
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52KFF_2016-12-26_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52LEH_2017-01-25_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KVR_2017-01-31_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KVS_2017-01-31_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_49KHQ_2017-02-09_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_52LCJ_2017-03-19_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52KEA_2017-04-15_final
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51LZD_2017-04-28_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JTF_2017-09-08_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51JVG_2017-09-08_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51JYL_2017-12-11_final
2018-01-07 10:57:08	ga_s2am_ard_3-2-1_52KHC_2018-01-07_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KZS_2018-01-13_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52KDD_2018-02-19_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGJ_2018-03-16_final
2018-03-20 11:37:46	ga_s2am_ard_3-2-1_51LWC_2018-03-20_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JQS_2018-06-18_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_51HUE_2018-08-14_final
2018-09-27 11:07:08	ga_s2am_ard_3-2-1_52LDJ_2018-09-27_final
2018-12-08 11:53:27	ga_s2am_ard_3-2-1_50KPB_2018-12-08_final
2018-12-09 11:24:28	ga_s2am_ard_3-2-1_51JYM_2018-12-09_final
2018-12-22 11:32:03	ga_s2am_ard_3-2-1_51KXB_2018-12-22_final
2019-01-10 12:06:05	ga_s2am_ard_3-2-1_50JKM_2019-01-10_final
2019-04-20 10:26:53	ga_s2am_ard_3-2-1_53HPB_2019-04-20_final
2019-06-07 11:26:20	ga_s2am_ard_3-2-1_51JUF_2019-06-07_final
2019-06-23 11:46:30	ga_s2am_ard_3-2-1_50JML_2019-06-23_final
2019-07-19 12:06:15	ga_s2am_ard_3-2-1_50JKM_2019-07-19_final
2019-07-23 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2019-07-23_final
2019-08-30 11:06:07	ga_s2am_ard_3-2-1_52JCL_2019-08-30_final
2019-09-23 10:46:01	ga_s2am_ard_3-2-1_52JGL_2019-09-23_final
2020-01-16 11:34:19	ga_s2am_ard_3-2-1_51JWN_2020-01-16_final
2020-02-01 11:56:06	ga_s2am_ard_3-2-1_50JKM_2020-02-01_final
2020-02-28 11:46:33	ga_s2am_ard_3-2-1_50HNK_2020-02-28_final
2020-02-29 11:16:32	ga_s2am_ard_3-2-1_51HYD_2020-02-29_final
2020-03-07 11:05:48	ga_s2am_ard_3-2-1_52JCM_2020-03-07_final
2020-04-01 11:56:10	ga_s2am_ard_3-2-1_50JKM_2020-04-01_final
2020-04-06 11:04:33	ga_s2am_ard_3-2-1_52JDS_2020-04-06_final
2020-05-09 11:16:24	ga_s2am_ard_3-2-1_52HBK_2020-05-09_final
2020-05-25 11:34:20	ga_s2am_ard_3-2-1_51KVP_2020-05-25_final
2020-07-17 11:46:00	ga_s2am_ard_3-2-1_51JTG_2020-07-17_final
2020-08-13 11:37:13	ga_s2am_ard_3-2-1_50HPH_2020-08-13_final
2021-04-07 11:26:25	ga_s2am_ard_3-2-1_51HVE_2021-04-07_final
2021-05-24 11:13:48	ga_s2am_ard_3-2-1_52KDV_2021-05-24_final
2021-05-24 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2021-05-24_final
2021-09-26 12:04:31	ga_s2am_ard_3-2-1_50KKU_2021-09-26_final
2021-10-03 11:56:12	ga_s2am_ard_3-2-1_50JMM_2021-10-03_final
2021-10-26 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2021-10-26_final
2021-10-29 10:36:37	ga_s2am_ard_3-2-1_53HPC_2021-10-29_final
2021-11-27 11:06:06	ga_s2am_ard_3-2-1_52JCL_2021-11-27_final
2022-01-07 10:36:52	ga_s2am_ard_3-2-1_53HNB_2022-01-07_final
2022-03-03 11:24:55	ga_s2am_ard_3-2-1_51JYL_2022-03-03_final
2022-03-23 11:26:10	ga_s2am_ard_3-2-1_51JXF_2022-03-23_final
2022-03-25 10:26:39	ga_s2am_ard_3-2-1_53HPC_2022-03-25_final
2022-04-15 11:32:50	ga_s2am_ard_3-2-1_51KVV_2022-04-15_final
2022-06-01 11:24:48	ga_s2am_ard_3-2-1_51JXM_2022-06-01_final
2022-06-10 11:53:26	ga_s2am_ard_3-2-1_50KQC_2022-06-10_final
2022-06-10 11:53:30	ga_s2am_ard_3-2-1_50KPC_2022-06-10_final
2022-07-30 11:54:00	ga_s2am_ard_3-2-1_50KPA_2022-07-30_final
2022-08-11 10:53:58	ga_s2am_ard_3-2-1_52KGV_2022-08-11_final
2022-09-15 11:46:22	ga_s2am_ard_3-2-1_50JMM_2022-09-15_final.stac-item
2022-09-16 11:11:05	ga_s2am_ard_3-2-1_52LGL_2022-09-16_final.stac-item
2022-10-12 11:36:48	ga_s2am_ard_3-2-1_51HUD_2022-10-12_final.stac-item
2022-12-05 11:14:29	ga_s2am_ard_3-2-1_52JBT_2022-12-05_final.stac-item
2022-12-18 11:25:09	ga_s2am_ard_3-2-1_51JXK_2022-12-18_final.stac-item
2022-12-22 11:01:55	ga_s2am_ard_3-2-1_52KHG_2022-12-22_final.stac-item
2022-12-31 11:31:19	ga_s2am_ard_3-2-1_51LZE_2022-12-31_final.stac-item
2023-01-01 11:01:16	ga_s2am_ard_3-2-1_52LGK_2023-01-01_final.stac-item
2023-01-01 11:01:49	ga_s2am_ard_3-2-1_52LFH_2023-01-01_final.stac-item
2023-01-26 11:55:46	ga_s2am_ard_3-2-1_50JNN_2023-01-26_final.stac-item
2023-01-27 11:26:33	ga_s2am_ard_3-2-1_51HXD_2023-01-27_final.stac-item
2023-02-20 11:06:32	ga_s2am_ard_3-2-1_52HBJ_2023-02-20_final.stac-item
2023-03-02 11:01:25	ga_s2am_ard_3-2-1_52LHJ_2023-03-02_final.stac-item
2023-04-27 11:27:02	ga_s2am_ard_3-2-1_51HUC_2023-04-27_final.stac-item
2023-05-14 11:15:43	ga_s2am_ard_3-2-1_51JXH_2023-05-14_final.stac-item
2023-06-19 11:34:09	ga_s2am_ard_3-2-1_51KXP_2023-06-19_final.stac-item
2023-06-19 11:34:21	ga_s2am_ard_3-2-1_51KUP_2023-06-19_final.stac-item
2023-06-20 11:03:26	ga_s2am_ard_3-2-1_52KHA_2023-06-20_final.stac-item
2023-06-26 11:22:41	ga_s2am_ard_3-2-1_51KZV_2023-06-26_final.stac-item
2023-07-03 11:13:05	ga_s2am_ard_3-2-1_52KEC_2023-07-03_final.stac-item
2023-10-30 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-10-30_final.stac-item
2023-11-17 11:06:22	ga_s2am_ard_3-2-1_52HBK_2023-11-17_final.stac-item
2023-11-26 11:31:00	ga_s2am_ard_3-2-1_51LZF_2023-11-26_final.stac-item
2023-11-27 11:02:26	ga_s2am_ard_3-2-1_52KHD_2023-11-27_final.stac-item
2023-12-10 11:16:00	ga_s2am_ard_3-2-1_52JBL_2023-12-10_final.stac-item
2023-12-23 11:25:27	ga_s2am_ard_3-2-1_51JVJ_2023-12-23_final.stac-item
2024-01-12 11:26:24	ga_s2am_ard_3-2-1_51HVE_2024-01-12_final.stac-item
2024-01-25 11:33:21	ga_s2am_ard_3-2-1_51KWS_2024-01-25_final.stac-item
2024-02-28 11:12:31	ga_s2am_ard_3-2-1_52KEE_2024-02-28_final.stac-item
2024-03-12 11:22:12	ga_s2am_ard_3-2-1_51KYB_2024-03-12_final.stac-item
2024-03-14 10:26:50	ga_s2am_ard_3-2-1_53HPB_2024-03-14_final.stac-item
2024-03-25 11:33:57	ga_s2am_ard_3-2-1_51KWQ_2024-03-25_final.stac-item
2024-03-26 11:05:23	ga_s2am_ard_3-2-1_52JCP_2024-03-26_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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