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
2015-07-12 11:02:41	ga_s2am_ard_3-2-1_52JGR_2015-07-12_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51LXC_2016-01-07_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JVG_2016-06-05_final.stac-item
2016-09-14 11:04:50	ga_s2am_ard_3-2-1_52JDN_2016-09-14_final.stac-item
2016-10-10 11:22:34	ga_s2am_ard_3-2-1_51HUC_2016-10-10_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49JGM_2016-12-11_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JXL_2017-01-08_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51KXR_2017-01-08_final
2017-02-03 11:34:38	ga_s2am_ard_3-2-1_51LWC_2017-02-03_final
2017-04-14 11:38:34	ga_s2am_ard_3-2-1_51KUA_2017-04-14_final.stac-item
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50HLJ_2017-08-05_final
2017-08-16 11:26:10	ga_s2am_ard_3-2-1_51HWE_2017-08-16_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JVH_2017-10-05_final
2017-11-04 11:26:08	ga_s2am_ard_3-2-1_51JXF_2017-11-04_final
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52JFT_2017-11-08_final
2017-12-01 11:12:09	ga_s2am_ard_3-2-1_52KDF_2017-12-01_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_51JYM_2017-12-31_final
2018-03-14 11:26:47	ga_s2am_ard_3-2-1_51HVC_2018-03-14_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49JGK_2018-03-19_final
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JER_2018-06-06_final
2018-07-23 10:47:26	ga_s2am_ard_3-2-1_52JFS_2018-07-23_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_50HQH_2018-10-03_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51JVJ_2018-10-03_final
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_52JCP_2018-10-27_final
2018-12-16 11:15:57	ga_s2am_ard_3-2-1_52JBL_2018-12-16_final
2019-01-31 11:33:27	ga_s2am_ard_3-2-1_51KVS_2019-01-31_final
2019-03-14 12:14:52	ga_s2am_ard_3-2-1_49JGM_2019-03-14_final
2019-03-26 11:16:43	ga_s2am_ard_3-2-1_51HWD_2019-03-26_final
2019-03-29 11:23:49	ga_s2am_ard_3-2-1_51KZQ_2019-03-29_final
2019-04-18 11:24:17	ga_s2am_ard_3-2-1_51KWP_2019-04-18_final
2019-08-13 11:13:25	ga_s2am_ard_3-2-1_52KCB_2019-08-13_final
2019-10-19 11:03:23	ga_s2am_ard_3-2-1_52KEB_2019-10-19_final
2019-12-20 11:42:07	ga_s2am_ard_3-2-1_51KVB_2019-12-20_final
2020-01-03 11:24:09	ga_s2am_ard_3-2-1_51KWP_2020-01-03_final
2020-02-17 12:13:48	ga_s2am_ard_3-2-1_50KKA_2020-02-17_final
2020-04-18 11:41:55	ga_s2am_ard_3-2-1_51LWC_2020-04-18_final
2020-04-18 11:42:21	ga_s2am_ard_3-2-1_51KWA_2020-04-18_final
2020-05-05 11:32:47	ga_s2am_ard_3-2-1_51KWV_2020-05-05_final
2020-05-05 11:33:07	ga_s2am_ard_3-2-1_51KYT_2020-05-05_final
2020-05-25 11:34:42	ga_s2am_ard_3-2-1_50JRT_2020-05-25_final
2020-06-11 11:26:39	ga_s2am_ard_3-2-1_51HUE_2020-06-11_final
2020-06-26 12:15:05	ga_s2am_ard_3-2-1_49JFM_2020-06-26_final
2020-08-07 11:15:45	ga_s2am_ard_3-2-1_51JYH_2020-08-07_final
2020-08-20 11:25:19	ga_s2am_ard_3-2-1_51JWK_2020-08-20_final
2020-09-02 11:36:43	ga_s2am_ard_3-2-1_50HPK_2020-09-02_final
2020-10-29 11:23:05	ga_s2am_ard_3-2-1_51KXU_2020-10-29_final
2020-11-14 11:47:06	ga_s2am_ard_3-2-1_50HPH_2020-11-14_final
2020-12-19 10:54:46	ga_s2am_ard_3-2-1_52JFR_2020-12-19_final
2021-01-07 11:22:38	ga_s2am_ard_3-2-1_52KBE_2021-01-07_final
2021-01-20 11:33:35	ga_s2am_ard_3-2-1_51KUS_2021-01-20_final
2021-02-09 11:33:22	ga_s2am_ard_3-2-1_51KXS_2021-02-09_final
2021-02-13 11:12:59	ga_s2am_ard_3-2-1_52KEC_2021-02-13_final
2021-02-19 11:34:36	ga_s2am_ard_3-2-1_50JRT_2021-02-19_final
2021-03-12 11:03:53	ga_s2am_ard_3-2-1_52KDV_2021-03-12_final
2021-03-18 11:22:40	ga_s2am_ard_3-2-1_51KYV_2021-03-18_final
2021-03-18 11:26:46	ga_s2am_ard_3-2-1_51HUD_2021-03-18_final
2021-03-28 11:23:33	ga_s2am_ard_3-2-1_51KZR_2021-03-28_final
2021-05-08 10:55:48	ga_s2am_ard_3-2-1_52JEM_2021-05-08_final
2021-05-10 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2021-05-10_final
2021-06-15 11:56:14	ga_s2am_ard_3-2-1_50JKM_2021-06-15_final
2021-08-21 11:47:04	ga_s2am_ard_3-2-1_50HPH_2021-08-21_final
2021-11-03 11:27:06	ga_s2am_ard_3-2-1_51HUC_2021-11-03_final
2021-11-07 11:04:07	ga_s2am_ard_3-2-1_52KEU_2021-11-07_final
2021-11-30 11:16:40	ga_s2am_ard_3-2-1_51HXD_2021-11-30_final
2021-12-04 10:55:02	ga_s2am_ard_3-2-1_52JFQ_2021-12-04_final
2021-12-04 10:55:30	ga_s2am_ard_3-2-1_52JFN_2021-12-04_final
2021-12-16 11:33:38	ga_s2am_ard_3-2-1_51KXR_2021-12-16_final
2021-12-26 11:32:39	ga_s2am_ard_3-2-1_51KVA_2021-12-26_final
2021-12-26 11:33:29	ga_s2am_ard_3-2-1_51KWS_2021-12-26_final
2021-12-30 11:13:20	ga_s2am_ard_3-2-1_52KDB_2021-12-30_final
2022-01-16 11:03:20	ga_s2am_ard_3-2-1_52KEB_2022-01-16_final
2022-01-16 11:04:11	ga_s2am_ard_3-2-1_52JGT_2022-01-16_final
2022-01-25 11:32:47	ga_s2am_ard_3-2-1_51KVV_2022-01-25_final
2022-01-29 11:13:22	ga_s2am_ard_3-2-1_52KCB_2022-01-29_final
2022-03-04 10:56:07	ga_s2am_ard_3-2-1_52JEL_2022-03-04_final
2022-03-26 11:32:25	ga_s2am_ard_3-2-1_51KYA_2022-03-26_final
2022-05-14 12:06:14	ga_s2am_ard_3-2-1_50JKM_2022-05-14_final
2022-05-19 11:16:43	ga_s2am_ard_3-2-1_51HYD_2022-05-19_final
2022-05-26 11:05:56	ga_s2am_ard_3-2-1_52JDM_2022-05-26_final
2022-08-06 11:47:18	ga_s2am_ard_3-2-1_50HNH_2022-08-06_final
2022-08-09 11:54:08	ga_s2am_ard_3-2-1_50KNA_2022-08-09_final
2022-09-26 11:16:13	ga_s2am_ard_3-2-1_52JBL_2022-09-26_final.stac-item
2022-10-22 11:32:52	ga_s2am_ard_3-2-1_51KYU_2022-10-22_final.stac-item
2022-12-22 11:04:19	ga_s2am_ard_3-2-1_52JDT_2022-12-22_final.stac-item
2022-12-31 11:32:31	ga_s2am_ard_3-2-1_51KVA_2022-12-31_final.stac-item
2023-01-01 11:02:49	ga_s2am_ard_3-2-1_52KED_2023-01-01_final.stac-item
2023-01-14 11:16:17	ga_s2am_ard_3-2-1_52HBK_2023-01-14_final.stac-item
2023-01-19 12:03:54	ga_s2am_ard_3-2-1_50KKA_2023-01-19_final.stac-item
2023-03-07 11:53:39	ga_s2am_ard_3-2-1_50KMB_2023-03-07_final.stac-item
2023-03-08 11:24:04	ga_s2am_ard_3-2-1_51KYP_2023-03-08_final.stac-item
2023-03-29 10:54:09	ga_s2am_ard_3-2-1_52JGT_2023-03-29_final.stac-item
2023-03-31 11:35:10	ga_s2am_ard_3-2-1_51JVK_2023-03-31_final.stac-item
2023-04-11 11:05:16	ga_s2am_ard_3-2-1_52JEP_2023-04-11_final.stac-item
2023-06-18 12:05:01	ga_s2am_ard_3-2-1_49JHM_2023-06-18_final.stac-item
2023-07-07 10:54:26	ga_s2am_ard_3-2-1_52JFT_2023-07-07_final.stac-item
2023-12-19 11:46:11	ga_s2am_ard_3-2-1_50JQL_2023-12-19_final.stac-item
2024-01-02 11:23:46	ga_s2am_ard_3-2-1_52KBV_2024-01-02_final.stac-item
2024-01-22 11:23:55	ga_s2am_ard_3-2-1_51KWQ_2024-01-22_final.stac-item
2024-02-10 11:57:11	ga_s2am_ard_3-2-1_49HGC_2024-02-10_nrt.stac-item
2024-03-08 11:44:44	ga_s2am_ard_3-2-1_50JQS_2024-03-08_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