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
2015-12-06 10:52:27	ga_s2am_ard_3-2-1_52KGU_2015-12-06_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KXA_2016-01-07_final.stac-item
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_52KBB_2016-01-31_final.stac-item
2016-06-03 10:52:21	ga_s2am_ard_3-2-1_52KHD_2016-06-03_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KQC_2016-07-01_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_52JBR_2016-07-09_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52JBN_2016-07-29_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51HVE_2016-09-13_final.stac-item
2016-11-03 11:05:10	ga_s2am_ard_3-2-1_51HYD_2016-11-03_final.stac-item
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51JYJ_2016-12-26_final
2017-01-05 11:12:08	ga_s2am_ard_3-2-1_52KFF_2017-01-05_final
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KED_2017-01-15_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KGP_2017-01-20_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49JGK_2017-01-30_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_51HVD_2017-01-31_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_51JVG_2017-01-31_final
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_52JBS_2017-05-25_final
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_50HPH_2017-09-28_final
2017-11-15 10:47:23	ga_s2am_ard_3-2-1_52KHA_2017-11-15_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JNR_2017-12-03_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51JZN_2017-12-11_final
2017-12-28 11:02:45	ga_s2am_ard_3-2-1_52JFT_2017-12-28_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51HUD_2018-02-22_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50KLA_2018-04-05_final
2018-04-17 11:04:48	ga_s2am_ard_3-2-1_52JDM_2018-04-17_final
2018-08-05 10:57:16	ga_s2am_ard_3-2-1_52JFR_2018-08-05_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JKM_2018-08-23_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51JVG_2018-10-03_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-10-05_final
2018-11-22 11:37:00	ga_s2am_ard_3-2-1_50HPH_2018-11-22_final
2019-01-14 11:41:29	ga_s2am_ard_3-2-1_51LUE_2019-01-14_final
2019-01-30 12:04:43	ga_s2am_ard_3-2-1_49JGN_2019-01-30_final
2019-02-07 11:24:37	ga_s2am_ard_3-2-1_51JXM_2019-02-07_final
2019-02-24 11:16:32	ga_s2am_ard_3-2-1_51HYD_2019-02-24_final
2019-03-21 12:05:39	ga_s2am_ard_3-2-1_50JKP_2019-03-21_final
2019-04-18 11:26:21	ga_s2am_ard_3-2-1_51JUF_2019-04-18_final
2019-04-24 11:46:05	ga_s2am_ard_3-2-1_51JTG_2019-04-24_final
2019-05-04 11:46:30	ga_s2am_ard_3-2-1_50JML_2019-05-04_final
2019-05-27 11:55:23	ga_s2am_ard_3-2-1_50JNQ_2019-05-27_final
2019-06-06 11:56:42	ga_s2am_ard_3-2-1_50HLK_2019-06-06_final
2019-08-16 11:24:35	ga_s2am_ard_3-2-1_51JZM_2019-08-16_final
2019-12-07 11:36:50	ga_s2am_ard_3-2-1_50HQJ_2019-12-07_final
2020-01-04 10:54:20	ga_s2am_ard_3-2-1_52JHS_2020-01-04_final
2020-01-06 11:33:07	ga_s2am_ard_3-2-1_51KWT_2020-01-06_final
2020-03-23 11:24:51	ga_s2am_ard_3-2-1_51JXL_2020-03-23_final
2020-04-12 11:21:24	ga_s2am_ard_3-2-1_51LZE_2020-04-12_final
2020-05-28 11:46:54	ga_s2am_ard_3-2-1_50HPJ_2020-05-28_final
2020-06-04 11:36:55	ga_s2am_ard_3-2-1_50HQJ_2020-06-04_final
2020-06-16 12:15:06	ga_s2am_ard_3-2-1_49JFM_2020-06-16_final
2020-06-21 11:24:08	ga_s2am_ard_3-2-1_51KWQ_2020-06-21_final
2020-07-04 11:32:24	ga_s2am_ard_3-2-1_51KVB_2020-07-04_final
2020-08-06 11:46:06	ga_s2am_ard_3-2-1_50JPM_2020-08-06_final
2020-09-25 11:46:35	ga_s2am_ard_3-2-1_50HQK_2020-09-25_final
2020-10-12 11:32:38	ga_s2am_ard_3-2-1_51KVA_2020-10-12_final
2020-11-28 11:21:41	ga_s2am_ard_3-2-1_51LZD_2020-11-28_final
2020-12-21 11:31:59	ga_s2am_ard_3-2-1_51LWC_2020-12-21_final
2021-01-23 11:41:59	ga_s2am_ard_3-2-1_51LVC_2021-01-23_final
2021-01-31 11:05:45	ga_s2am_ard_3-2-1_52JEM_2021-01-31_final
2021-02-23 11:12:02	ga_s2am_ard_3-2-1_52KEG_2021-02-23_final
2021-03-04 11:46:05	ga_s2am_ard_3-2-1_50JPM_2021-03-04_final
2021-05-03 11:42:40	ga_s2am_ard_3-2-1_51KVV_2021-05-03_final
2021-06-03 11:13:49	ga_s2am_ard_3-2-1_52KDV_2021-06-03_final
2021-07-18 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2021-07-18_final
2021-08-21 11:46:25	ga_s2am_ard_3-2-1_50JNL_2021-08-21_final
2021-09-04 11:23:28	ga_s2am_ard_3-2-1_52KCA_2021-09-04_final
2021-11-24 10:54:48	ga_s2am_ard_3-2-1_52JFR_2021-11-24_final
2021-12-12 11:56:10	ga_s2am_ard_3-2-1_50JLM_2021-12-12_final
2022-02-24 11:33:47	ga_s2am_ard_3-2-1_51KVR_2022-02-24_final
2022-03-06 11:34:18	ga_s2am_ard_3-2-1_51KVP_2022-03-06_final
2022-03-19 11:42:25	ga_s2am_ard_3-2-1_51KVA_2022-03-19_final
2022-03-20 11:16:44	ga_s2am_ard_3-2-1_51HXD_2022-03-20_final
2022-04-05 11:35:38	ga_s2am_ard_3-2-1_50JQP_2022-04-05_final
2022-04-09 11:16:45	ga_s2am_ard_3-2-1_51HWD_2022-04-09_final
2022-05-27 12:14:01	ga_s2am_ard_3-2-1_50KKA_2022-05-27_final
2022-05-28 11:45:36	ga_s2am_ard_3-2-1_51JTJ_2022-05-28_final
2022-06-27 11:43:42	ga_s2am_ard_3-2-1_51KUS_2022-06-27_final
2022-08-03 11:35:23	ga_s2am_ard_3-2-1_51JVK_2022-08-03_final
2022-09-05 11:46:52	ga_s2am_ard_3-2-1_50HMK_2022-09-05_final.stac-item
2022-09-09 11:25:02	ga_s2am_ard_3-2-1_51JYL_2022-09-09_final.stac-item
2022-09-15 11:47:01	ga_s2am_ard_3-2-1_50HNJ_2022-09-15_final.stac-item
2022-10-16 11:13:29	ga_s2am_ard_3-2-1_52KBB_2022-10-16_final.stac-item
2022-10-26 11:15:42	ga_s2am_ard_3-2-1_51JYH_2022-10-26_final.stac-item
2022-11-15 11:13:16	ga_s2am_ard_3-2-1_52KDB_2022-11-15_final.stac-item
2022-11-21 11:32:41	ga_s2am_ard_3-2-1_51KXV_2022-11-21_final.stac-item
2022-12-22 11:02:13	ga_s2am_ard_3-2-1_52KGF_2022-12-22_final.stac-item
2023-01-28 10:56:01	ga_s2am_ard_3-2-1_52JFL_2023-01-28_final.stac-item
2023-01-30 11:31:04	ga_s2am_ard_3-2-1_51LZF_2023-01-30_final.stac-item
2023-02-20 11:02:12	ga_s2am_ard_3-2-1_52KGF_2023-02-20_final.stac-item
2023-03-29 10:55:58	ga_s2am_ard_3-2-1_52JFL_2023-03-29_final.stac-item
2023-04-06 11:53:10	ga_s2am_ard_3-2-1_50KRC_2023-04-06_final.stac-item
2023-06-30 11:03:39	ga_s2am_ard_3-2-1_52KEA_2023-06-30_final.stac-item
2023-08-08 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2023-08-08_final.stac-item
2023-08-16 10:54:27	ga_s2am_ard_3-2-1_52JFT_2023-08-16_final.stac-item
2023-09-27 11:33:55	ga_s2am_ard_3-2-1_51KXQ_2023-09-27_final.stac-item
2024-01-02 11:26:23	ga_s2am_ard_3-2-1_51HWE_2024-01-02_final.stac-item
2024-03-06 11:02:30	ga_s2am_ard_3-2-1_52KGE_2024-03-06_final.stac-item
2024-03-07 12:14:31	ga_s2am_ard_3-2-1_49KFP_2024-03-07_nrt.stac-item
2024-03-12 11:22:12	ga_s2am_ard_3-2-1_51KYB_2024-03-12_final.stac-item
2024-03-12 11:24:26	ga_s2am_ard_3-2-1_51JXN_2024-03-12_final.stac-item
2024-04-07 11:41:57	ga_s2am_ard_3-2-1_51LVC_2024-04-07_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