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
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51KYB_2016-03-24_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_51HWE_2016-04-10_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_52KBB_2016-04-10_final.stac-item
2016-05-04 10:52:08	ga_s2am_ard_3-2-1_52JEP_2016-05-04_final.stac-item
2016-05-26 11:36:09	ga_s2am_ard_3-2-1_51HUE_2016-05-26_final.stac-item
2016-05-27 11:02:16	ga_s2am_ard_3-2-1_52KED_2016-05-27_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGN_2016-09-05_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51KYS_2016-09-20_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_50JPL_2016-10-13_final.stac-item
2016-11-09 11:26:07	ga_s2am_ard_3-2-1_51HUE_2016-11-09_final.stac-item
2016-11-09 11:26:07	ga_s2am_ard_3-2-1_51HVE_2016-11-09_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_51HWC_2016-11-16_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50KQG_2016-11-28_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_52KBD_2017-01-08_final
2017-01-12 11:02:04	ga_s2am_ard_3-2-1_52KEV_2017-01-12_final
2017-03-06 11:11:54	ga_s2am_ard_3-2-1_51HYD_2017-03-06_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_50HQG_2017-04-21_final.stac-item
2017-06-08 10:53:16	ga_s2am_ard_3-2-1_52KGB_2017-06-08_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HQJ_2017-07-03_final
2017-07-14 11:12:15	ga_s2am_ard_3-2-1_52KFC_2017-07-14_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50KKB_2017-08-18_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JTG_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JTH_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JVG_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KWR_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KXB_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KYA_2017-09-28_final
2017-10-28 11:36:03	ga_s2am_ard_3-2-1_50JQM_2017-10-28_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KVA_2017-11-20_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_51LWC_2018-04-29_final
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51LUF_2018-05-09_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KBA_2018-05-23_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMG_2018-05-29_final.stac-item
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-07-07_final
2018-07-22 11:25:32	ga_s2am_ard_3-2-1_51JXH_2018-07-22_final
2018-07-29 11:13:14	ga_s2am_ard_3-2-1_51HWC_2018-07-29_final.stac-item
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52JFR_2018-08-02_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50JPL_2018-09-13_final
2018-09-26 11:34:41	ga_s2am_ard_3-2-1_51KUB_2018-09-26_final.stac-item
2018-12-02 11:37:12	ga_s2am_ard_3-2-1_50HPG_2018-12-02_final.stac-item
2019-01-01 11:33:16	ga_s2am_ard_3-2-1_51KUT_2019-01-01_final
2019-01-01 11:33:39	ga_s2am_ard_3-2-1_51KVR_2019-01-01_final
2019-01-08 11:23:20	ga_s2am_ard_3-2-1_51KYS_2019-01-08_final
2019-01-14 11:42:09	ga_s2am_ard_3-2-1_51KVB_2019-01-14_final
2019-04-28 11:23:14	ga_s2am_ard_3-2-1_51KYT_2019-04-28_final
2019-06-30 11:37:26	ga_s2am_ard_3-2-1_50HPG_2019-06-30_final.stac-item
2019-07-04 11:13:41	ga_s2am_ard_3-2-1_52KCA_2019-07-04_final
2019-10-15 11:23:13	ga_s2am_ard_3-2-1_51KYT_2019-10-15_final
2020-05-21 11:53:27	ga_s2am_ard_3-2-1_50KPC_2020-05-21_final
2020-06-15 11:03:05	ga_s2am_ard_3-2-1_52KGC_2020-06-15_final
2020-07-21 11:23:40	ga_s2am_ard_3-2-1_52KBA_2020-07-21_final
2020-08-10 11:24:11	ga_s2am_ard_3-2-1_51KZP_2020-08-10_final
2020-08-13 11:33:09	ga_s2am_ard_3-2-1_51KXU_2020-08-13_final
2020-10-22 11:31:30	ga_s2am_ard_3-2-1_51LYE_2020-10-22_final
2020-11-11 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2020-11-11_final
2020-12-04 11:41:31	ga_s2am_ard_3-2-1_51LUE_2020-12-04_final
2020-12-18 11:23:01	ga_s2am_ard_3-2-1_51KZT_2020-12-18_final
2021-01-11 11:02:59	ga_s2am_ard_3-2-1_52KGC_2021-01-11_final
2021-01-14 11:13:55	ga_s2am_ard_3-2-1_52KBV_2021-01-14_final
2021-03-22 11:04:35	ga_s2am_ard_3-2-1_52JDS_2021-03-22_final
2021-04-03 11:41:30	ga_s2am_ard_3-2-1_51LUE_2021-04-03_final
2021-04-29 12:05:53	ga_s2am_ard_3-2-1_50JKN_2021-04-29_final
2021-05-24 11:12:47	ga_s2am_ard_3-2-1_52KED_2021-05-24_final
2021-06-02 11:44:32	ga_s2am_ard_3-2-1_51JTN_2021-06-02_final
2021-06-25 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-06-25_final.stac-item
2021-07-16 11:23:39	ga_s2am_ard_3-2-1_51KZR_2021-07-16_final
2021-07-16 11:26:58	ga_s2am_ard_3-2-1_51HWC_2021-07-16_final.stac-item
2021-08-11 11:43:06	ga_s2am_ard_3-2-1_51KTU_2021-08-11_final
2021-08-27 12:03:43	ga_s2am_ard_3-2-1_50KLB_2021-08-27_final
2021-09-01 11:13:55	ga_s2am_ard_3-2-1_51KZQ_2021-09-01_final
2021-09-26 12:03:48	ga_s2am_ard_3-2-1_49KHS_2021-09-26_final.stac-item
2021-09-30 11:42:40	ga_s2am_ard_3-2-1_51KVA_2021-09-30_final
2021-11-23 11:23:21	ga_s2am_ard_3-2-1_52KBB_2021-11-23_final
2021-12-06 11:33:22	ga_s2am_ard_3-2-1_51KXS_2021-12-06_final
2021-12-16 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2021-12-16_final
2022-01-18 11:42:17	ga_s2am_ard_3-2-1_51KUB_2022-01-18_final.stac-item
2022-02-07 11:47:20	ga_s2am_ard_3-2-1_50HNG_2022-02-07_final.stac-item
2022-03-03 11:26:58	ga_s2am_ard_3-2-1_51HWC_2022-03-03_final.stac-item
2022-03-25 12:05:43	ga_s2am_ard_3-2-1_50JKP_2022-03-25_final
2022-06-04 11:33:35	ga_s2am_ard_3-2-1_51KWS_2022-06-04_final
2022-06-24 11:33:28	ga_s2am_ard_3-2-1_51KVT_2022-06-24_final
2022-08-17 11:13:38	ga_s2am_ard_3-2-1_52KBB_2022-08-17_final
2022-09-08 11:52:31	ga_s2am_ard_3-2-1_50KQG_2022-09-08_final.stac-item
2022-09-16 11:16:35	ga_s2am_ard_3-2-1_51HXE_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
2022-10-13 11:03:25	ga_s2am_ard_3-2-1_52KEB_2022-10-13_final.stac-item
2022-10-15 11:45:16	ga_s2am_ard_3-2-1_50JNR_2022-10-15_final.stac-item
2022-11-28 11:22:23	ga_s2am_ard_3-2-1_51KZA_2022-11-28_final.stac-item
2022-12-01 11:33:42	ga_s2am_ard_3-2-1_51KWR_2022-12-01_final.stac-item
2023-01-10 11:33:32	ga_s2am_ard_3-2-1_51KUS_2023-01-10_final.stac-item
2023-01-13 11:43:22	ga_s2am_ard_3-2-1_51KVS_2023-01-13_final.stac-item
2023-01-23 11:43:00	ga_s2am_ard_3-2-1_50KRD_2023-01-23_final.stac-item
2023-01-30 11:31:40	ga_s2am_ard_3-2-1_51LXD_2023-01-30_final.stac-item
2023-04-04 11:13:13	ga_s2am_ard_3-2-1_52KBC_2023-04-04_final.stac-item
2023-04-27 11:24:04	ga_s2am_ard_3-2-1_52KBU_2023-04-27_final.stac-item
2023-05-07 11:26:54	ga_s2am_ard_3-2-1_51HWC_2023-05-07_final.stac-item
2023-10-29 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-10-29_final.stac-item
2024-02-17 11:42:19	ga_s2am_ard_3-2-1_51KWA_2024-02-17_final.stac-item
2024-02-26 12:13:53	ga_s2am_ard_3-2-1_49KHR_2024-02-26_final.stac-item
2024-02-27 11:41:32	ga_s2am_ard_3-2-1_51LUE_2024-02-27_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