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
2015-09-30 11:04:27	ga_s2am_ard_3-2-1_52JFR_2015-09-30_final.stac-item
2015-10-07 10:54:06	ga_s2am_ard_3-2-1_53JKF_2015-10-07_final.stac-item
2015-10-21 10:35:59	ga_s2am_ard_3-2-1_53HPA_2015-10-21_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JLN_2016-03-16_final.stac-item
2016-04-14 10:51:39	ga_s2am_ard_3-2-1_52JGM_2016-04-14_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HMJ_2016-04-19_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_51KVB_2016-04-19_final.stac-item
2016-05-01 10:43:19	ga_s2am_ard_3-2-1_53HMD_2016-05-01_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51JWL_2016-05-23_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HQG_2016-06-05_final.stac-item
2016-07-27 10:34:29	ga_s2am_ard_3-2-1_53JNF_2016-07-27_final.stac-item
2016-10-17 11:07:07	ga_s2am_ard_3-2-1_52LGH_2016-10-17_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KVU_2016-12-22_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KWB_2016-12-25_final
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52KCF_2016-12-26_final
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_52LBK_2016-12-29_final.stac-item
2017-04-17 11:56:08	ga_s2am_ard_3-2-1_50JLM_2017-04-17_final
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51KZV_2017-08-26_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_51KVB_2017-09-01_final
2017-12-09 10:32:28	ga_s2am_ard_3-2-1_53HLE_2017-12-09_final
2018-01-10 11:12:24	ga_s2am_ard_3-2-1_52KDD_2018-01-10_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JKN_2018-02-01_final
2018-02-09 11:07:09	ga_s2am_ard_3-2-1_52LGK_2018-02-09_final
2018-04-20 11:15:50	ga_s2am_ard_3-2-1_51HWC_2018-04-20_final.stac-item
2018-07-12 11:19:28	ga_s2am_ard_3-2-1_52KBB_2018-07-12_final
2018-07-27 10:27:09	ga_s2am_ard_3-2-1_53HLD_2018-07-27_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_51HUE_2018-09-13_final
2018-11-16 11:11:13	ga_s2am_ard_3-2-1_52LEK_2018-11-16_final.stac-item
2018-11-26 11:16:13	ga_s2am_ard_3-2-1_51HYE_2018-11-26_final
2018-12-09 11:24:24	ga_s2am_ard_3-2-1_51JZM_2018-12-09_final
2019-03-16 11:11:12	ga_s2am_ard_3-2-1_52LFK_2019-03-16_final
2019-03-26 11:10:57	ga_s2am_ard_3-2-1_52LGL_2019-03-26_final
2019-04-06 10:46:25	ga_s2am_ard_3-2-1_53HLD_2019-04-06_final
2019-04-10 12:04:48	ga_s2am_ard_3-2-1_49JGN_2019-04-10_final
2019-06-18 10:54:51	ga_s2am_ard_3-2-1_52JFR_2019-06-18_final
2019-07-16 11:56:19	ga_s2am_ard_3-2-1_50JKM_2019-07-16_final
2019-08-01 12:14:46	ga_s2am_ard_3-2-1_49JGN_2019-08-01_final
2019-08-19 11:33:55	ga_s2am_ard_3-2-1_51KXQ_2019-08-19_final
2019-09-19 11:00:30	ga_s2am_ard_3-2-1_52LHN_2019-09-19_final
2019-10-04 11:56:01	ga_s2am_ard_3-2-1_50JKN_2019-10-04_final
2019-11-24 11:25:13	ga_s2am_ard_3-2-1_51JVK_2019-11-24_final
2019-12-24 11:25:28	ga_s2am_ard_3-2-1_51JYH_2019-12-24_final
2020-03-12 11:53:21	ga_s2am_ard_3-2-1_50KNC_2020-03-12_final
2020-03-15 12:06:01	ga_s2am_ard_3-2-1_50JLM_2020-03-15_final
2020-03-26 11:34:14	ga_s2am_ard_3-2-1_51KUP_2020-03-26_final
2020-05-15 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2020-05-15_final
2020-07-11 11:24:08	ga_s2am_ard_3-2-1_51KWQ_2020-07-11_final
2020-07-17 11:42:18	ga_s2am_ard_3-2-1_51KVB_2020-07-17_final
2020-10-12 11:33:47	ga_s2am_ard_3-2-1_51KWR_2020-10-12_final
2020-10-23 11:06:03	ga_s2am_ard_3-2-1_52JBM_2020-10-23_final
2020-11-01 11:34:37	ga_s2am_ard_3-2-1_51JUN_2020-11-01_final
2020-11-06 10:45:05	ga_s2am_ard_3-2-1_53JKK_2020-11-06_final
2020-12-13 12:13:55	ga_s2am_ard_3-2-1_49KGR_2020-12-13_final
2020-12-27 11:54:44	ga_s2am_ard_3-2-1_50JLT_2020-12-27_final
2021-01-19 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-01-19_final
2021-01-30 11:33:13	ga_s2am_ard_3-2-1_51KWT_2021-01-30_final
2021-02-02 11:43:33	ga_s2am_ard_3-2-1_50KRB_2021-02-02_final
2021-03-01 11:32:50	ga_s2am_ard_3-2-1_51KYU_2021-03-01_final
2021-03-07 11:56:13	ga_s2am_ard_3-2-1_50JLM_2021-03-07_final
2021-03-09 10:55:39	ga_s2am_ard_3-2-1_53JKG_2021-03-09_final
2021-04-09 12:05:07	ga_s2am_ard_3-2-1_50JKR_2021-04-09_final
2021-05-26 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-05-26_final
2021-06-26 11:23:36	ga_s2am_ard_3-2-1_52KBA_2021-06-26_final
2021-08-12 11:15:10	ga_s2am_ard_3-2-1_52JBQ_2021-08-12_final
2021-08-15 11:23:27	ga_s2am_ard_3-2-1_51KYS_2021-08-15_final
2021-08-24 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-08-24_final
2021-09-27 11:33:06	ga_s2am_ard_3-2-1_51KYT_2021-09-27_final
2021-10-17 11:33:07	ga_s2am_ard_3-2-1_51KVU_2021-10-17_final
2021-10-17 11:33:21	ga_s2am_ard_3-2-1_51KVT_2021-10-17_final
2021-11-03 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2021-11-03_final
2021-11-23 11:26:36	ga_s2am_ard_3-2-1_51HXD_2021-11-23_final
2022-01-05 11:33:00	ga_s2am_ard_3-2-1_51KWU_2022-01-05_final
2022-01-16 11:06:24	ga_s2am_ard_3-2-1_52HBK_2022-01-16_final
2022-02-22 10:55:44	ga_s2am_ard_3-2-1_52JGM_2022-02-22_final
2022-05-22 11:21:39	ga_s2am_ard_3-2-1_52LDJ_2022-05-22_final
2022-06-19 10:44:50	ga_s2am_ard_3-2-1_53JML_2022-06-19_final
2022-06-27 11:42:55	ga_s2am_ard_3-2-1_51KVV_2022-06-27_final
2022-07-14 11:32:32	ga_s2am_ard_3-2-1_51KVB_2022-07-14_final
2022-08-17 11:13:53	ga_s2am_ard_3-2-1_51KZR_2022-08-17_final
2022-09-10 10:55:35	ga_s2am_ard_3-2-1_53JKH_2022-09-10_final.stac-item
2022-10-12 11:36:32	ga_s2am_ard_3-2-1_50JPL_2022-10-12_final.stac-item
2022-10-15 11:43:19	ga_s2am_ard_3-2-1_51KUT_2022-10-15_final.stac-item
2022-10-26 11:14:12	ga_s2am_ard_3-2-1_52KBU_2022-10-26_final.stac-item
2023-01-04 11:13:24	ga_s2am_ard_3-2-1_52KBB_2023-01-04_final.stac-item
2023-04-03 11:46:14	ga_s2am_ard_3-2-1_50JQL_2023-04-03_final.stac-item
2023-04-13 11:41:33	ga_s2am_ard_3-2-1_51LUE_2023-04-13_final.stac-item
2023-06-14 10:46:10	ga_s2am_ard_3-2-1_53HME_2023-06-14_final.stac-item
2023-06-27 10:56:00	ga_s2am_ard_3-2-1_52JGL_2023-06-27_final.stac-item
2023-07-14 10:46:00	ga_s2am_ard_3-2-1_53JMF_2023-07-14_final.stac-item
2023-10-01 11:13:15	ga_s2am_ard_3-2-1_52KBC_2023-10-01_final.stac-item
2023-10-30 11:43:00	ga_s2am_ard_3-2-1_51KUU_2023-10-30_final.stac-item
2023-11-16 11:33:26	ga_s2am_ard_3-2-1_51KWS_2023-11-16_final.stac-item
2023-12-19 11:43:29	ga_s2am_ard_3-2-1_51KVR_2023-12-19_final.stac-item
2024-01-16 11:03:27	ga_s2am_ard_3-2-1_52KEA_2024-01-16_final.stac-item
2024-03-02 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2024-03-02_final.stac-item
2024-03-06 11:06:07	ga_s2am_ard_3-2-1_52JCL_2024-03-06_final.stac-item
2024-03-19 11:16:59	ga_s2am_ard_3-2-1_51HWC_2024-03-19_final.stac-item
2024-04-29 10:46:12	ga_s2am_ard_3-2-1_53HLE_2024-04-29_final.stac-item
2024-05-04 11:32:43	ga_s2am_ard_3-2-1_51KXV_2024-05-04_final.stac-item
2024-05-29 10:46:11	ga_s2am_ard_3-2-1_53HLE_2024-05-29_nrt.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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