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
2016-05-07 11:02:16	ga_s2am_ard_3-2-1_52JDT_2016-05-07_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_52KBA_2016-05-23_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JLP_2016-06-04_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KMC_2016-06-24_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_52JBR_2016-07-09_final.stac-item
2016-09-14 10:57:41	ga_s2am_ard_3-2-1_52JFS_2016-09-14_final.stac-item
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52KDB_2016-12-26_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50JKM_2016-12-31_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KYV_2017-01-31_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_50HPH_2017-02-10_final
2017-02-24 11:12:09	ga_s2am_ard_3-2-1_52KEF_2017-02-24_final
2017-03-20 10:53:07	ga_s2am_ard_3-2-1_52JFL_2017-03-20_final
2017-09-29 11:02:55	ga_s2am_ard_3-2-1_52JEL_2017-09-29_final
2017-11-15 10:53:13	ga_s2am_ard_3-2-1_52JGN_2017-11-15_final
2017-12-01 11:12:09	ga_s2am_ard_3-2-1_52KDD_2017-12-01_final
2017-12-01 11:12:09	ga_s2am_ard_3-2-1_52KEF_2017-12-01_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JNN_2017-12-10_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51HXD_2017-12-11_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KXQ_2018-01-13_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KZT_2018-01-13_final
2018-02-13 10:52:02	ga_s2am_ard_3-2-1_52JGP_2018-02-13_final
2018-02-16 10:58:46	ga_s2am_ard_3-2-1_52KEC_2018-02-16_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HQJ_2018-05-26_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KTS_2018-06-08_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52JBR_2018-06-09_final
2018-06-15 11:26:20	ga_s2am_ard_3-2-1_51KYU_2018-06-15_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JYL_2018-06-19_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50JRT_2018-08-04_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HMK_2018-09-06_final
2018-09-15 12:14:38	ga_s2am_ard_3-2-1_49JGN_2018-09-15_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JVG_2018-09-30_final
2018-10-10 11:16:56	ga_s2am_ard_3-2-1_51KWP_2018-10-10_final
2018-11-12 11:36:58	ga_s2am_ard_3-2-1_50HQH_2018-11-12_final
2019-02-11 11:03:50	ga_s2am_ard_3-2-1_52KDV_2019-02-11_final
2019-03-23 11:05:47	ga_s2am_ard_3-2-1_52JDM_2019-03-23_final
2019-04-10 12:04:06	ga_s2am_ard_3-2-1_49KHR_2019-04-10_final
2019-06-26 11:56:01	ga_s2am_ard_3-2-1_50JLN_2019-06-26_final
2019-08-01 12:15:04	ga_s2am_ard_3-2-1_49JFM_2019-08-01_final
2019-10-28 11:32:23	ga_s2am_ard_3-2-1_51KVB_2019-10-28_final
2020-01-09 11:43:23	ga_s2am_ard_3-2-1_51KUS_2020-01-09_final
2020-02-03 10:54:18	ga_s2am_ard_3-2-1_52JHS_2020-02-03_final
2020-02-05 11:32:03	ga_s2am_ard_3-2-1_51KXB_2020-02-05_final
2020-03-23 11:26:36	ga_s2am_ard_3-2-1_51HWD_2020-03-23_final
2020-05-19 11:13:10	ga_s2am_ard_3-2-1_52KDC_2020-05-19_final
2020-05-25 11:33:51	ga_s2am_ard_3-2-1_51KVR_2020-05-25_final
2020-08-03 11:36:44	ga_s2am_ard_3-2-1_50HPK_2020-08-03_final
2020-09-24 12:13:59	ga_s2am_ard_3-2-1_50KKA_2020-09-24_final
2020-10-08 11:56:02	ga_s2am_ard_3-2-1_50JLN_2020-10-08_final
2020-10-15 11:45:23	ga_s2am_ard_3-2-1_50JQQ_2020-10-15_final
2020-11-28 11:22:27	ga_s2am_ard_3-2-1_51KYA_2020-11-28_final
2020-12-08 11:23:07	ga_s2am_ard_3-2-1_51KYT_2020-12-08_final
2020-12-11 11:33:56	ga_s2am_ard_3-2-1_51KVQ_2020-12-11_final
2020-12-28 11:21:17	ga_s2am_ard_3-2-1_52LBK_2020-12-28_final
2021-02-10 11:03:33	ga_s2am_ard_3-2-1_52KEA_2021-02-10_final
2021-04-13 11:47:09	ga_s2am_ard_3-2-1_50HLH_2021-04-13_final
2021-05-08 10:53:42	ga_s2am_ard_3-2-1_52KHV_2021-05-08_final
2021-06-14 10:46:01	ga_s2am_ard_3-2-1_52JGL_2021-06-14_final
2021-06-23 11:16:38	ga_s2am_ard_3-2-1_51HYD_2021-06-23_final
2021-07-19 11:32:35	ga_s2am_ard_3-2-1_51KVA_2021-07-19_final
2021-09-10 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-09-10_final
2021-09-20 11:47:09	ga_s2am_ard_3-2-1_50HNH_2021-09-20_final
2021-09-30 11:46:45	ga_s2am_ard_3-2-1_50HMK_2021-09-30_final
2021-11-07 11:03:38	ga_s2am_ard_3-2-1_52KEA_2021-11-07_final
2021-11-07 11:03:52	ga_s2am_ard_3-2-1_52KEV_2021-11-07_final
2021-11-16 11:35:42	ga_s2am_ard_3-2-1_51JVH_2021-11-16_final
2021-11-20 11:16:37	ga_s2am_ard_3-2-1_51HYD_2021-11-20_final
2021-12-12 11:56:10	ga_s2am_ard_3-2-1_50JLM_2021-12-12_final
2022-01-19 11:16:06	ga_s2am_ard_3-2-1_52JBL_2022-01-19_final
2022-02-01 11:24:08	ga_s2am_ard_3-2-1_51KYP_2022-02-01_final
2022-02-01 11:24:19	ga_s2am_ard_3-2-1_52JBT_2022-02-01_final
2022-03-15 12:05:44	ga_s2am_ard_3-2-1_50JLP_2022-03-15_final
2022-03-30 11:16:33	ga_s2am_ard_3-2-1_51HWE_2022-03-30_final
2022-04-01 11:55:44	ga_s2am_ard_3-2-1_50JLP_2022-04-01_final
2022-04-04 12:06:11	ga_s2am_ard_3-2-1_50JKM_2022-04-04_final
2022-04-11 11:56:13	ga_s2am_ard_3-2-1_50JLM_2022-04-11_final
2022-04-29 11:14:14	ga_s2am_ard_3-2-1_52KBU_2022-04-29_final
2022-05-18 11:47:15	ga_s2am_ard_3-2-1_50HMH_2022-05-18_final
2022-05-19 11:13:31	ga_s2am_ard_3-2-1_52KBB_2022-05-19_final
2022-06-11 11:25:08	ga_s2am_ard_3-2-1_51JWL_2022-06-11_final
2022-07-20 11:56:11	ga_s2am_ard_3-2-1_50JKN_2022-07-20_final
2022-07-28 11:13:43	ga_s2am_ard_3-2-1_52KDA_2022-07-28_final
2022-08-31 10:54:13	ga_s2am_ard_3-2-1_52KGU_2022-08-31_final
2022-09-13 11:06:02	ga_s2am_ard_3-2-1_52JCM_2022-09-13_final.stac-item
2022-09-25 11:47:09	ga_s2am_ard_3-2-1_50HPH_2022-09-25_final.stac-item
2022-10-02 11:34:32	ga_s2am_ard_3-2-1_51JWN_2022-10-02_final.stac-item
2022-12-05 11:14:32	ga_s2am_ard_3-2-1_52JDS_2022-12-05_final.stac-item
2023-01-04 11:13:21	ga_s2am_ard_3-2-1_52KCB_2023-01-04_final.stac-item
2023-01-11 11:03:33	ga_s2am_ard_3-2-1_52KEA_2023-01-11_final.stac-item
2023-03-29 10:54:45	ga_s2am_ard_3-2-1_52JFR_2023-03-29_final.stac-item
2023-04-14 11:15:42	ga_s2am_ard_3-2-1_51JXH_2023-04-14_final.stac-item
2023-04-16 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2023-04-16_final.stac-item
2023-05-14 11:16:36	ga_s2am_ard_3-2-1_52HBJ_2023-05-14_nrt.stac-item
2023-06-26 11:23:57	ga_s2am_ard_3-2-1_51KYQ_2023-06-26_final.stac-item
2023-06-29 11:31:25	ga_s2am_ard_3-2-1_51LZE_2023-06-29_final.stac-item
2023-06-30 11:03:53	ga_s2am_ard_3-2-1_52KEV_2023-06-30_final.stac-item
2023-09-30 11:41:57	ga_s2am_ard_3-2-1_51LWC_2023-09-30_final.stac-item
2023-12-20 11:14:49	ga_s2am_ard_3-2-1_52JBR_2023-12-20_final.stac-item
2024-01-22 11:23:25	ga_s2am_ard_3-2-1_51KZR_2024-01-22_final.stac-item
2024-03-06 11:03:46	ga_s2am_ard_3-2-1_52KFV_2024-03-06_final.stac-item
2024-03-12 11:23:10	ga_s2am_ard_3-2-1_51KYT_2024-03-12_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