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_50HLK_2015-11-14_final.stac-item
2015-11-18 11:36:00	ga_s2am_ard_3-2-1_51JUF_2015-11-18_final.stac-item
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_52JFQ_2016-01-15_final.stac-item
2016-01-17 11:36:22	ga_s2am_ard_3-2-1_50JQM_2016-01-17_final.stac-item
2016-01-18 11:02:07	ga_s2am_ard_3-2-1_52JDT_2016-01-18_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50HNK_2016-01-20_final.stac-item
2016-01-24 11:27:30	ga_s2am_ard_3-2-1_51HVE_2016-01-24_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_50JQL_2016-02-06_final.stac-item
2016-03-07 11:25:48	ga_s2am_ard_3-2-1_51KVA_2016-03-07_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KHQ_2016-03-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JNP_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPR_2016-03-20_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51KYS_2016-03-24_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50JPS_2016-04-19_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JVF_2016-04-23_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 11:17:04	ga_s2am_ard_3-2-1_51KYV_2016-05-03_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51HUD_2016-05-03_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_51HXE_2016-05-10_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_51JYM_2016-05-10_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51JTN_2016-05-16_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KVV_2016-05-16_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_51HVE_2016-10-13_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_51LUE_2016-10-16_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50KPF_2016-12-08_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HLH_2016-12-08_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50JKR_2017-09-07_final
2017-09-18 11:36:00	ga_s2am_ard_3-2-1_51HTE_2017-09-18_final
2017-09-20 12:14:37	ga_s2am_ard_3-2-1_49JGM_2017-09-20_final
2017-11-17 11:36:01	ga_s2am_ard_3-2-1_51HUE_2017-11-17_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HMK_2017-12-03_final
2017-12-30 11:37:45	ga_s2am_ard_3-2-1_51KVA_2017-12-30_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLH_2018-01-12_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KWB_2018-06-08_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52JCT_2018-06-19_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51KYT_2018-07-25_final
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52JFR_2018-08-02_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HQK_2018-08-17_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51JXN_2018-10-03_final
2019-02-03 11:47:11	ga_s2am_ard_3-2-1_50HLH_2019-02-03_final
2019-02-13 11:47:10	ga_s2am_ard_3-2-1_50HMH_2019-02-13_final
2019-03-08 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2019-03-08_final
2019-03-22 11:31:39	ga_s2am_ard_3-2-1_51LYD_2019-03-22_final
2019-03-28 11:52:58	ga_s2am_ard_3-2-1_50KRD_2019-03-28_final
2019-04-04 11:42:10	ga_s2am_ard_3-2-1_51KWB_2019-04-04_final
2019-06-13 11:45:35	ga_s2am_ard_3-2-1_50JQP_2019-06-13_final
2019-07-27 11:23:18	ga_s2am_ard_3-2-1_51KXT_2019-07-27_final
2019-08-25 11:53:12	ga_s2am_ard_3-2-1_50KRC_2019-08-25_final
2019-09-18 11:36:23	ga_s2am_ard_3-2-1_51HVE_2019-09-18_final
2019-09-21 11:43:25	ga_s2am_ard_3-2-1_51KVS_2019-09-21_final
2019-10-14 11:55:59	ga_s2am_ard_3-2-1_50JLN_2019-10-14_final
2019-12-13 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2019-12-13_final
2020-01-19 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-01-19_final
2020-02-02 11:25:55	ga_s2am_ard_3-2-1_51JWF_2020-02-02_final
2020-02-18 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-02-18_final
2020-03-03 11:26:10	ga_s2am_ard_3-2-1_51JVF_2020-03-03_final
2020-04-21 11:56:26	ga_s2am_ard_3-2-1_50JLL_2020-04-21_final
2020-04-24 12:04:33	ga_s2am_ard_3-2-1_49KGP_2020-04-24_final
2020-06-16 12:14:01	ga_s2am_ard_3-2-1_49KHR_2020-06-16_final
2020-07-24 11:33:08	ga_s2am_ard_3-2-1_51KXU_2020-07-24_final
2020-07-27 11:41:03	ga_s2am_ard_3-2-1_51LWG_2020-07-27_final.stac-item
2020-10-02 11:36:16	ga_s2am_ard_3-2-1_51JVF_2020-10-02_final
2020-10-12 11:35:14	ga_s2am_ard_3-2-1_51JWK_2020-10-12_final
2020-10-29 11:22:17	ga_s2am_ard_3-2-1_51KYB_2020-10-29_final
2020-11-10 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2020-11-10_final
2020-12-07 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2020-12-07_final
2020-12-23 12:14:44	ga_s2am_ard_3-2-1_49JFN_2020-12-23_final
2021-01-06 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-01-06_final
2021-01-26 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-01-26_final
2021-03-07 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-03-07_final
2021-03-30 12:04:43	ga_s2am_ard_3-2-1_49JGN_2021-03-30_final
2021-05-06 11:53:29	ga_s2am_ard_3-2-1_50KMC_2021-05-06_final
2021-07-29 11:32:00	ga_s2am_ard_3-2-1_51LXC_2021-07-29_final
2021-09-06 12:04:59	ga_s2am_ard_3-2-1_50JMR_2021-09-06_final
2021-09-06 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-09-06_final
2021-09-08 11:05:59	ga_s2am_ard_3-2-1_52JEL_2021-09-08_final
2021-09-20 11:46:10	ga_s2am_ard_3-2-1_51JTF_2021-09-20_final
2022-01-14 12:03:24	ga_s2am_ard_3-2-1_50KMC_2022-01-14_final
2022-04-06 11:04:59	ga_s2am_ard_3-2-1_52JFQ_2022-04-06_final
2022-04-18 11:41:37	ga_s2am_ard_3-2-1_51LUE_2022-04-18_final
2022-05-28 11:42:17	ga_s2am_ard_3-2-1_51KWB_2022-05-28_final
2022-07-25 11:05:08	ga_s2am_ard_3-2-1_52JFQ_2022-07-25_final
2022-09-11 12:06:02	ga_s2am_ard_3-2-1_50JLN_2022-09-11_final.stac-item
2022-09-16 11:14:17	ga_s2am_ard_3-2-1_52JET_2022-09-16_final.stac-item
2022-09-19 11:23:29	ga_s2am_ard_3-2-1_51KZS_2022-09-19_final.stac-item
2022-09-29 11:26:18	ga_s2am_ard_3-2-1_51JWF_2022-09-29_final.stac-item
2022-11-01 11:32:33	ga_s2am_ard_3-2-1_51KWA_2022-11-01_final.stac-item
2022-11-07 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2022-11-07_final.stac-item
2022-12-27 11:57:19	ga_s2am_ard_3-2-1_50HMG_2022-12-27_final.stac-item
2023-02-09 11:36:09	ga_s2am_ard_3-2-1_51JVF_2023-02-09_final.stac-item
2023-03-31 11:35:02	ga_s2am_ard_3-2-1_51JTL_2023-03-31_final.stac-item
2023-04-07 11:25:53	ga_s2am_ard_3-2-1_51JXG_2023-04-07_final.stac-item
2023-07-10 11:06:39	ga_s2am_ard_3-2-1_52HBJ_2023-07-10_final.stac-item
2023-09-07 11:33:18	ga_s2am_ard_3-2-1_51KWT_2023-09-07_final.stac-item
2023-09-14 11:24:48	ga_s2am_ard_3-2-1_52JBR_2023-09-14_final.stac-item
2023-09-18 11:05:16	ga_s2am_ard_3-2-1_52JFP_2023-09-18_final.stac-item
2023-09-28 11:06:20	ga_s2am_ard_3-2-1_52HDK_2023-09-28_final.stac-item
2023-11-19 11:41:30	ga_s2am_ard_3-2-1_51LUE_2023-11-19_final.stac-item
2023-12-06 11:32:08	ga_s2am_ard_3-2-1_51KWB_2023-12-06_final.stac-item
2024-01-04 12:05:52	ga_s2am_ard_3-2-1_50JKN_2024-01-04_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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