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
2015-08-01 11:02:42	ga_s2am_ard_3-2-1_52KEV_2015-08-01_final.stac-item
2015-08-04 11:12:46	ga_s2am_ard_3-2-1_52KEB_2015-08-04_final.stac-item
2016-01-21 11:14:09	ga_s2am_ard_3-2-1_52KED_2016-01-21_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52KEV_2016-03-28_final.stac-item
2016-04-20 11:12:16	ga_s2am_ard_3-2-1_51KZR_2016-04-20_final.stac-item
2016-07-30 10:45:24	ga_s2am_ard_3-2-1_53HMD_2016-07-30_final.stac-item
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_51KZR_2016-12-06_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51KXU_2016-12-09_final
2017-01-03 10:33:32	ga_s2am_ard_3-2-1_53JNF_2017-01-03_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51KXQ_2017-01-08_final
2017-01-16 10:43:08	ga_s2am_ard_3-2-1_53JLF_2017-01-16_final
2017-03-05 11:37:45	ga_s2am_ard_3-2-1_51KVT_2017-03-05_final.stac-item
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KYT_2017-05-31_final
2017-07-31 11:03:00	ga_s2am_ard_3-2-1_52KEV_2017-07-31_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50JQN_2017-09-01_final
2017-11-01 11:12:01	ga_s2am_ard_3-2-1_51KZR_2017-11-01_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGK_2017-11-06_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51HTC_2018-02-02_final
2018-03-04 11:16:56	ga_s2am_ard_3-2-1_51KYV_2018-03-04_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_52JDP_2018-03-21_final
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_52KCB_2018-05-20_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_52KBD_2018-06-12_final
2018-07-09 11:13:18	ga_s2am_ard_3-2-1_52KEB_2018-07-09_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGL_2018-08-23_final
2018-09-17 11:07:08	ga_s2am_ard_3-2-1_52LFL_2018-09-17_final
2018-12-18 11:56:17	ga_s2am_ard_3-2-1_50JLL_2018-12-18_final
2018-12-26 11:11:12	ga_s2am_ard_3-2-1_52LEK_2018-12-26_final.stac-item
2019-01-20 12:04:57	ga_s2am_ard_3-2-1_49JGM_2019-01-20_final
2019-03-11 12:04:20	ga_s2am_ard_3-2-1_50KLU_2019-03-11_final
2019-05-02 11:00:52	ga_s2am_ard_3-2-1_52LGM_2019-05-02_final
2019-06-30 11:35:24	ga_s2am_ard_3-2-1_51JWJ_2019-06-30_final
2019-07-07 11:21:37	ga_s2am_ard_3-2-1_52LDJ_2019-07-07_final
2019-07-14 11:11:24	ga_s2am_ard_3-2-1_52LEK_2019-07-14_final.stac-item
2019-08-23 11:13:46	ga_s2am_ard_3-2-1_52KEV_2019-08-23_final
2019-09-11 11:42:40	ga_s2am_ard_3-2-1_51KVV_2019-09-11_final
2019-10-27 10:26:10	ga_s2am_ard_3-2-1_53HPE_2019-10-27_final
2020-01-09 11:45:23	ga_s2am_ard_3-2-1_51JTJ_2020-01-09_final
2020-01-20 11:13:16	ga_s2am_ard_3-2-1_52KCB_2020-01-20_final
2020-01-30 11:12:06	ga_s2am_ard_3-2-1_52KFF_2020-01-30_final
2020-02-29 11:12:42	ga_s2am_ard_3-2-1_52KED_2020-02-29_final
2020-03-13 11:25:17	ga_s2am_ard_3-2-1_51JYJ_2020-03-13_final
2020-03-30 11:10:39	ga_s2am_ard_3-2-1_52LGM_2020-03-30_final
2020-04-03 10:55:27	ga_s2am_ard_3-2-1_52JFN_2020-04-03_final
2020-04-05 11:37:18	ga_s2am_ard_3-2-1_50HPG_2020-04-05_final.stac-item
2020-05-05 11:35:51	ga_s2am_ard_3-2-1_51JTH_2020-05-05_final
2020-06-01 11:24:18	ga_s2am_ard_3-2-1_51KXP_2020-06-01_final
2020-07-01 11:23:44	ga_s2am_ard_3-2-1_51KYR_2020-07-01_final
2020-08-27 11:14:22	ga_s2am_ard_3-2-1_52JDT_2020-08-27_final
2020-11-12 11:06:21	ga_s2am_ard_3-2-1_52HDK_2020-11-12_final.stac-item
2020-11-14 11:43:04	ga_s2am_ard_3-2-1_51KUU_2020-11-14_final
2020-12-27 11:57:23	ga_s2am_ard_3-2-1_50HLG_2020-12-27_final.stac-item
2021-01-03 11:42:46	ga_s2am_ard_3-2-1_51KUV_2021-01-03_final
2021-01-19 10:26:47	ga_s2am_ard_3-2-1_53HQB_2021-01-19_final
2021-01-25 10:46:06	ga_s2am_ard_3-2-1_53HME_2021-01-25_final
2021-02-08 10:26:46	ga_s2am_ard_3-2-1_53HQB_2021-02-08_final
2021-03-04 11:46:19	ga_s2am_ard_3-2-1_50JPL_2021-03-04_final
2021-05-10 11:34:31	ga_s2am_ard_3-2-1_51JUN_2021-05-10_final
2021-05-11 11:03:34	ga_s2am_ard_3-2-1_52KEA_2021-05-11_final
2021-05-20 11:32:58	ga_s2am_ard_3-2-1_51KWU_2021-05-20_final
2021-07-16 11:26:03	ga_s2am_ard_3-2-1_51JVG_2021-07-16_final
2021-08-12 11:13:43	ga_s2am_ard_3-2-1_51KZR_2021-08-12_final
2021-10-13 11:56:05	ga_s2am_ard_3-2-1_50JKN_2021-10-13_final
2021-10-14 11:27:13	ga_s2am_ard_3-2-1_51HTC_2021-10-14_final
2021-11-16 11:37:02	ga_s2am_ard_3-2-1_51HTC_2021-11-16_final
2021-11-17 11:04:10	ga_s2am_ard_3-2-1_52JFT_2021-11-17_final
2021-11-29 11:43:58	ga_s2am_ard_3-2-1_51KUQ_2021-11-29_final
2021-12-20 11:13:55	ga_s2am_ard_3-2-1_51KZQ_2021-12-20_final
2021-12-28 10:36:23	ga_s2am_ard_3-2-1_53HND_2021-12-28_final
2022-01-15 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2022-01-15_final
2022-02-02 10:52:31	ga_s2am_ard_3-2-1_52KHE_2022-02-02_final
2022-02-25 11:03:01	ga_s2am_ard_3-2-1_52KGC_2022-02-25_final
2022-03-07 11:05:52	ga_s2am_ard_3-2-1_52JDM_2022-03-07_final
2022-04-09 11:10:41	ga_s2am_ard_3-2-1_52LFM_2022-04-09_final.stac-item
2022-08-13 11:31:33	ga_s2am_ard_3-2-1_51LZE_2022-08-13_final
2022-08-20 11:25:26	ga_s2am_ard_3-2-1_51JWK_2022-08-20_final
2022-11-15 11:13:36	ga_s2am_ard_3-2-1_52KDA_2022-11-15_final.stac-item
2022-11-28 11:22:48	ga_s2am_ard_3-2-1_52KCD_2022-11-28_final.stac-item
2022-12-05 11:14:06	ga_s2am_ard_3-2-1_52KCU_2022-12-05_final.stac-item
2022-12-18 11:24:03	ga_s2am_ard_3-2-1_52KBU_2022-12-18_final.stac-item
2023-02-03 11:13:38	ga_s2am_ard_3-2-1_52KBA_2023-02-03_final.stac-item
2023-02-03 11:16:19	ga_s2am_ard_3-2-1_52HBK_2023-02-03_final.stac-item
2023-05-03 11:41:19	ga_s2am_ard_3-2-1_51LUF_2023-05-03_final.stac-item
2023-05-14 11:13:57	ga_s2am_ard_3-2-1_52KEU_2023-05-14_final.stac-item
2023-05-21 11:03:37	ga_s2am_ard_3-2-1_52KEA_2023-05-21_final.stac-item
2023-06-19 11:33:02	ga_s2am_ard_3-2-1_51KWU_2023-06-19_final.stac-item
2023-06-22 11:47:28	ga_s2am_ard_3-2-1_50HMG_2023-06-22_final.stac-item
2023-07-13 11:13:35	ga_s2am_ard_3-2-1_52KEA_2023-07-13_final.stac-item
2023-08-07 10:26:55	ga_s2am_ard_3-2-1_53HPB_2023-08-07_final.stac-item
2023-08-12 11:12:18	ga_s2am_ard_3-2-1_52KFF_2023-08-12_final.stac-item
2023-09-11 11:10:42	ga_s2am_ard_3-2-1_52LHM_2023-09-11_final.stac-item
2023-09-14 11:23:43	ga_s2am_ard_3-2-1_51KYR_2023-09-14_final.stac-item
2023-09-17 11:34:09	ga_s2am_ard_3-2-1_51KXP_2023-09-17_final.stac-item
2023-11-16 11:32:49	ga_s2am_ard_3-2-1_51KYU_2023-11-16_final.stac-item
2024-01-09 11:10:13	ga_s2am_ard_3-2-1_52LFP_2024-01-09_final.stac-item
2024-01-26 11:03:14	ga_s2am_ard_3-2-1_52KEB_2024-01-26_final.stac-item
2024-02-04 11:37:13	ga_s2am_ard_3-2-1_50HQG_2024-02-04_final.stac-item
2024-02-05 11:03:45	ga_s2am_ard_3-2-1_52KEV_2024-02-05_final.stac-item
2024-03-22 11:21:51	ga_s2am_ard_3-2-1_52LCH_2024-03-22_final.stac-item
2024-03-26 11:02:58	ga_s2am_ard_3-2-1_52KGC_2024-03-26_final.stac-item
2024-05-10 11:53:20	ga_s2am_ard_3-2-1_50KQC_2024-05-10_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

All years