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
2015-12-03 10:41:05	ga_s2am_ard_3-2-1_53JKG_2015-12-03_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51KXQ_2016-07-22_final.stac-item
2016-09-02 10:26:04	ga_s2am_ard_3-2-1_53HPA_2016-09-02_final.stac-item
2016-10-27 11:09:33	ga_s2am_ard_3-2-1_52LHM_2016-10-27_final.stac-item
2017-01-13 10:32:45	ga_s2am_ard_3-2-1_53HND_2017-01-13_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51KVV_2017-01-24_final
2017-02-09 10:26:31	ga_s2am_ard_3-2-1_53HPC_2017-02-09_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49JGK_2017-02-12_final
2017-03-13 11:02:50	ga_s2am_ard_3-2-1_52HCK_2017-03-13_final.stac-item
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JVL_2017-03-19_final
2017-04-13 12:13:43	ga_s2am_ard_3-2-1_50KKA_2017-04-13_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50JPR_2017-04-14_final.stac-item
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_50HQK_2017-04-21_final
2017-06-04 11:12:17	ga_s2am_ard_3-2-1_52KEA_2017-06-04_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_49KHR_2017-08-18_final
2017-09-20 12:14:37	ga_s2am_ard_3-2-1_49JGN_2017-09-20_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KXQ_2017-11-27_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_50JKT_2018-02-24_final
2018-03-08 10:57:12	ga_s2am_ard_3-2-1_52LHN_2018-03-08_final
2018-05-01 10:37:29	ga_s2am_ard_3-2-1_53HLE_2018-05-01_final
2018-07-10 10:37:28	ga_s2am_ard_3-2-1_53JKF_2018-07-10_final
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_51JXF_2018-10-07_final
2018-11-26 11:16:20	ga_s2am_ard_3-2-1_51HYE_2018-11-26_final
2018-12-13 11:02:53	ga_s2am_ard_3-2-1_52KFC_2018-12-13_final
2018-12-24 10:36:09	ga_s2am_ard_3-2-1_53HPD_2018-12-24_final
2019-02-13 11:43:11	ga_s2am_ard_3-2-1_51KUT_2019-02-13_final
2019-05-18 11:23:32	ga_s2am_ard_3-2-1_51KXS_2019-05-18_final
2019-06-13 11:45:42	ga_s2am_ard_3-2-1_50JNP_2019-06-13_final
2019-06-17 11:23:42	ga_s2am_ard_3-2-1_52KBA_2019-06-17_final
2019-07-17 11:23:44	ga_s2am_ard_3-2-1_51KYR_2019-07-17_final
2019-08-10 11:03:31	ga_s2am_ard_3-2-1_52KGA_2019-08-10_final
2019-08-29 11:33:28	ga_s2am_ard_3-2-1_51KWS_2019-08-29_final
2019-09-08 11:33:41	ga_s2am_ard_3-2-1_51KWR_2019-09-08_final
2019-10-02 11:13:50	ga_s2am_ard_3-2-1_52KDV_2019-10-02_final
2019-11-01 11:11:22	ga_s2am_ard_3-2-1_52LEK_2019-11-01_final.stac-item
2019-12-11 11:10:21	ga_s2am_ard_3-2-1_52LHN_2019-12-11_final
2019-12-30 11:42:58	ga_s2am_ard_3-2-1_51KTU_2019-12-30_final
2020-02-29 11:10:42	ga_s2am_ard_3-2-1_52LFM_2020-02-29_final.stac-item
2020-03-02 11:52:30	ga_s2am_ard_3-2-1_50KQF_2020-03-02_final.stac-item
2020-03-12 11:53:39	ga_s2am_ard_3-2-1_50KMB_2020-03-12_final
2020-03-15 12:03:19	ga_s2am_ard_3-2-1_50KMC_2020-03-15_final
2020-05-08 11:42:32	ga_s2am_ard_3-2-1_51KVA_2020-05-08_final
2020-05-14 12:04:44	ga_s2am_ard_3-2-1_50JLT_2020-05-14_final
2020-05-25 11:33:15	ga_s2am_ard_3-2-1_51KXT_2020-05-25_final
2020-06-04 11:31:44	ga_s2am_ard_3-2-1_51LXD_2020-06-04_final.stac-item
2020-06-24 11:32:28	ga_s2am_ard_3-2-1_51KYA_2020-06-24_final
2020-07-01 11:23:11	ga_s2am_ard_3-2-1_52KBC_2020-07-01_final
2020-07-04 11:34:30	ga_s2am_ard_3-2-1_51JWN_2020-07-04_final
2020-07-13 10:26:51	ga_s2am_ard_3-2-1_53HQB_2020-07-13_final
2020-07-15 11:04:23	ga_s2am_ard_3-2-1_52JET_2020-07-15_final
2020-08-06 11:43:35	ga_s2am_ard_3-2-1_51KUS_2020-08-06_final
2020-08-13 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2020-08-13_final
2020-08-27 11:13:59	ga_s2am_ard_3-2-1_52KBV_2020-08-27_final
2020-09-29 11:23:34	ga_s2am_ard_3-2-1_51KXS_2020-09-29_final
2020-10-25 11:46:24	ga_s2am_ard_3-2-1_50JPL_2020-10-25_final
2020-11-18 11:22:07	ga_s2am_ard_3-2-1_52KCG_2020-11-18_final
2020-11-18 11:24:58	ga_s2am_ard_3-2-1_51JXL_2020-11-18_final
2020-12-08 11:23:36	ga_s2am_ard_3-2-1_51KYR_2020-12-08_final
2021-02-28 12:03:26	ga_s2am_ard_3-2-1_50KLC_2021-02-28_final
2021-06-22 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-06-22_final
2021-07-22 11:46:26	ga_s2am_ard_3-2-1_50JNL_2021-07-22_final
2021-08-25 11:24:06	ga_s2am_ard_3-2-1_52KBU_2021-08-25_final
2021-09-11 11:11:34	ga_s2am_ard_3-2-1_52LEJ_2021-09-11_final
2021-09-17 11:37:08	ga_s2am_ard_3-2-1_50HPH_2021-09-17_final
2021-12-07 11:03:19	ga_s2am_ard_3-2-1_52KEB_2021-12-07_final
2022-01-12 11:23:40	ga_s2am_ard_3-2-1_51KYR_2022-01-12_final
2022-01-26 11:03:05	ga_s2am_ard_3-2-1_52KEC_2022-01-26_final
2022-02-04 11:36:57	ga_s2am_ard_3-2-1_51HUC_2022-02-04_final
2022-02-09 10:46:20	ga_s2am_ard_3-2-1_53HMD_2022-02-09_final
2022-04-01 11:53:19	ga_s2am_ard_3-2-1_50KQC_2022-04-01_final
2022-05-17 10:36:15	ga_s2am_ard_3-2-1_53HME_2022-05-17_final
2022-07-07 11:43:38	ga_s2am_ard_3-2-1_51KVS_2022-07-07_final
2022-07-13 10:27:18	ga_s2am_ard_3-2-1_53HPA_2022-07-13_final
2022-08-15 10:36:29	ga_s2am_ard_3-2-1_53HLE_2022-08-15_final
2022-09-02 11:33:07	ga_s2am_ard_3-2-1_51KXU_2022-09-02_final.stac-item
2022-10-02 11:32:47	ga_s2am_ard_3-2-1_51KXV_2022-10-02_final.stac-item
2022-10-02 11:33:45	ga_s2am_ard_3-2-1_51KXR_2022-10-02_final.stac-item
2022-12-25 11:13:31	ga_s2am_ard_3-2-1_52KDA_2022-12-25_final.stac-item
2023-01-10 11:32:45	ga_s2am_ard_3-2-1_51KVV_2023-01-10_final.stac-item
2023-01-23 11:42:38	ga_s2am_ard_3-2-1_51KVV_2023-01-23_final.stac-item
2023-01-23 11:46:33	ga_s2am_ard_3-2-1_50HNK_2023-01-23_final.stac-item
2023-01-27 11:23:25	ga_s2am_ard_3-2-1_51KXS_2023-01-27_final.stac-item
2023-02-02 11:42:12	ga_s2am_ard_3-2-1_51KVB_2023-02-02_final.stac-item
2023-03-14 11:43:26	ga_s2am_ard_3-2-1_51KUS_2023-03-14_final.stac-item
2023-03-24 11:41:31	ga_s2am_ard_3-2-1_51LUE_2023-03-24_final.stac-item
2023-03-30 12:04:31	ga_s2am_ard_3-2-1_50KKU_2023-03-30_final.stac-item
2023-05-27 11:23:38	ga_s2am_ard_3-2-1_52KBA_2023-05-27_final.stac-item
2023-06-06 11:22:26	ga_s2am_ard_3-2-1_52KBF_2023-06-06_final.stac-item
2023-06-16 11:25:46	ga_s2am_ard_3-2-1_51JWH_2023-06-16_final.stac-item
2023-08-08 11:31:43	ga_s2am_ard_3-2-1_51LYD_2023-08-08_final.stac-item
2023-09-14 11:25:49	ga_s2am_ard_3-2-1_51JYG_2023-09-14_final.stac-item
2023-11-13 11:25:33	ga_s2am_ard_3-2-1_51JYH_2023-11-13_final.stac-item
2023-11-30 11:10:09	ga_s2am_ard_3-2-1_52LFP_2023-11-30_final.stac-item
2023-12-20 11:10:54	ga_s2am_ard_3-2-1_52LGL_2023-12-20_final.stac-item
2023-12-23 11:26:44	ga_s2am_ard_3-2-1_51HUD_2023-12-23_final.stac-item
2024-01-23 10:54:26	ga_s2am_ard_3-2-1_52JFS_2024-01-23_final.stac-item
2024-02-25 11:03:48	ga_s2am_ard_3-2-1_52KEV_2024-02-25_final.stac-item
2024-03-06 11:04:58	ga_s2am_ard_3-2-1_52JFQ_2024-03-06_final.stac-item
2024-03-09 11:11:02	ga_s2am_ard_3-2-1_52LFL_2024-03-09_final.stac-item
2024-04-10 11:57:09	ga_s2am_ard_3-2-1_50HLH_2024-04-10_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