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
2016-05-23 11:17:05	ga_s2am_ard_3-2-1_51KZV_2016-05-23_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_52KBC_2016-05-30_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51KVV_2016-06-25_final.stac-item
2016-08-05 11:01:22	ga_s2am_ard_3-2-1_52JER_2016-08-05_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51KZU_2016-08-31_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51KUQ_2016-11-22_final.stac-item
2016-12-06 11:13:53	ga_s2am_ard_3-2-1_51JZN_2016-12-06_final.stac-item
2017-09-09 11:02:57	ga_s2am_ard_3-2-1_52JFR_2017-09-09_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KVA_2017-11-20_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50KKU_2018-01-05_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KYV_2018-02-15_final
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_52HBK_2018-05-20_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49JGK_2018-05-25_final
2018-06-22 11:20:28	ga_s2am_ard_3-2-1_51JYN_2018-06-22_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HPH_2018-07-28_final
2018-09-03 11:26:18	ga_s2am_ard_3-2-1_51KYT_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPG_2018-09-03_final.stac-item
2018-10-23 11:26:17	ga_s2am_ard_3-2-1_51KWA_2018-10-23_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KUQ_2018-10-26_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HPK_2018-11-05_final
2018-11-22 11:32:55	ga_s2am_ard_3-2-1_51KYT_2018-11-22_final
2018-11-29 11:24:57	ga_s2am_ard_3-2-1_51JYK_2018-11-29_final
2018-12-02 11:35:29	ga_s2am_ard_3-2-1_50JQP_2018-12-02_final
2018-12-22 11:32:21	ga_s2am_ard_3-2-1_51KWA_2018-12-22_final
2018-12-29 11:21:33	ga_s2am_ard_3-2-1_51LZD_2018-12-29_final
2019-04-18 11:22:55	ga_s2am_ard_3-2-1_51KZU_2019-04-18_final
2019-04-28 11:22:59	ga_s2am_ard_3-2-1_52KCC_2019-04-28_final
2019-06-13 11:42:24	ga_s2am_ard_3-2-1_51KWA_2019-06-13_final
2019-07-17 11:27:03	ga_s2am_ard_3-2-1_51HVC_2019-07-17_final
2019-07-19 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2019-07-19_final
2019-07-27 11:26:02	ga_s2am_ard_3-2-1_51JWG_2019-07-27_final
2019-08-12 11:41:01	ga_s2am_ard_3-2-1_51LWG_2019-08-12_final.stac-item
2019-09-08 11:34:10	ga_s2am_ard_3-2-1_51KWP_2019-09-08_final
2019-10-28 11:36:08	ga_s2am_ard_3-2-1_50JQM_2019-10-28_final
2019-11-24 11:24:15	ga_s2am_ard_3-2-1_51KWP_2019-11-24_final
2019-11-28 11:05:04	ga_s2am_ard_3-2-1_52JDQ_2019-11-28_final
2020-01-10 11:13:08	ga_s2am_ard_3-2-1_52KBC_2020-01-10_final
2020-01-12 11:54:13	ga_s2am_ard_3-2-1_50KPU_2020-01-12_final
2020-02-29 11:14:12	ga_s2am_ard_3-2-1_52JDT_2020-02-29_final
2020-03-07 11:05:26	ga_s2am_ard_3-2-1_52JEN_2020-03-07_final
2020-03-19 11:43:14	ga_s2am_ard_3-2-1_51KTT_2020-03-19_final
2020-08-29 11:56:16	ga_s2am_ard_3-2-1_50JLM_2020-08-29_final
2020-09-26 11:13:45	ga_s2am_ard_3-2-1_52KBA_2020-09-26_final
2020-10-09 11:25:48	ga_s2am_ard_3-2-1_51JWH_2020-10-09_final
2020-11-01 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-11-01_final
2020-12-01 11:33:09	ga_s2am_ard_3-2-1_51KXT_2020-12-01_final
2020-12-08 11:23:47	ga_s2am_ard_3-2-1_52KBV_2020-12-08_final
2020-12-17 11:55:54	ga_s2am_ard_3-2-1_50JLN_2020-12-17_final
2021-01-04 11:15:51	ga_s2am_ard_3-2-1_52JBM_2021-01-04_final
2021-01-20 11:33:57	ga_s2am_ard_3-2-1_51KWQ_2021-01-20_final
2021-02-07 10:55:55	ga_s2am_ard_3-2-1_52JGL_2021-02-07_final
2021-03-18 11:27:01	ga_s2am_ard_3-2-1_51HUC_2021-03-18_final
2021-03-29 10:55:25	ga_s2am_ard_3-2-1_52JGN_2021-03-29_final
2021-04-10 11:32:35	ga_s2am_ard_3-2-1_51KXV_2021-04-10_final
2021-07-07 10:54:36	ga_s2am_ard_3-2-1_52JFS_2021-07-07_final
2021-07-19 11:32:47	ga_s2am_ard_3-2-1_51KWV_2021-07-19_final
2021-08-30 12:13:56	ga_s2am_ard_3-2-1_49KHR_2021-08-30_final
2021-09-21 11:15:13	ga_s2am_ard_3-2-1_51JYK_2021-09-21_final
2021-11-29 11:47:17	ga_s2am_ard_3-2-1_50HPG_2021-11-29_final.stac-item
2021-12-06 11:32:46	ga_s2am_ard_3-2-1_51KVV_2021-12-06_final
2021-12-10 11:14:07	ga_s2am_ard_3-2-1_51KZP_2021-12-10_final
2021-12-14 10:54:47	ga_s2am_ard_3-2-1_52JFR_2021-12-14_final
2021-12-25 12:04:44	ga_s2am_ard_3-2-1_50JKT_2021-12-25_final
2022-01-08 11:41:34	ga_s2am_ard_3-2-1_51LUE_2022-01-08_final
2022-01-08 11:42:23	ga_s2am_ard_3-2-1_51KWA_2022-01-08_final
2022-01-08 11:44:11	ga_s2am_ard_3-2-1_50KPV_2022-01-08_final
2022-02-04 11:33:02	ga_s2am_ard_3-2-1_51KYT_2022-02-04_final
2022-02-10 11:53:16	ga_s2am_ard_3-2-1_50KQC_2022-02-10_final
2022-02-27 11:47:17	ga_s2am_ard_3-2-1_50HLH_2022-02-27_final
2022-03-06 11:33:13	ga_s2am_ard_3-2-1_51KXT_2022-03-06_final
2022-03-06 11:34:09	ga_s2am_ard_3-2-1_51KXP_2022-03-06_final
2022-03-16 11:36:50	ga_s2am_ard_3-2-1_51HTD_2022-03-16_final
2022-03-17 11:04:22	ga_s2am_ard_3-2-1_52JET_2022-03-17_final
2022-04-02 11:24:14	ga_s2am_ard_3-2-1_51KXP_2022-04-02_final
2022-04-12 11:25:41	ga_s2am_ard_3-2-1_51JXH_2022-04-12_final
2022-04-15 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2022-04-15_final
2022-06-24 11:36:17	ga_s2am_ard_3-2-1_50JQM_2022-06-24_final
2022-08-20 11:25:55	ga_s2am_ard_3-2-1_51JWH_2022-08-20_final
2022-08-23 11:32:13	ga_s2am_ard_3-2-1_51LWC_2022-08-23_final
2022-08-27 11:13:49	ga_s2am_ard_3-2-1_52KCA_2022-08-27_final
2022-09-11 12:03:34	ga_s2am_ard_3-2-1_50KMC_2022-09-11_final.stac-item
2022-09-12 11:36:24	ga_s2am_ard_3-2-1_51JUF_2022-09-12_final.stac-item
2022-10-29 11:22:59	ga_s2am_ard_3-2-1_51KYU_2022-10-29_final.stac-item
2023-02-12 11:42:07	ga_s2am_ard_3-2-1_51KWB_2023-02-12_final.stac-item
2023-02-12 11:42:40	ga_s2am_ard_3-2-1_51KVV_2023-02-12_final.stac-item
2023-03-31 11:35:32	ga_s2am_ard_3-2-1_51JTJ_2023-03-31_final.stac-item
2023-04-03 11:43:17	ga_s2am_ard_3-2-1_51KTT_2023-04-03_final.stac-item
2023-04-30 11:33:02	ga_s2am_ard_3-2-1_51KVU_2023-04-30_final.stac-item
2023-05-14 11:16:20	ga_s2am_ard_3-2-1_52HBK_2023-05-14_final.stac-item
2023-05-17 11:22:38	ga_s2am_ard_3-2-1_52KBE_2023-05-17_final.stac-item
2023-05-27 11:24:44	ga_s2am_ard_3-2-1_51JXM_2023-05-27_final.stac-item
2023-07-09 11:32:34	ga_s2am_ard_3-2-1_51KWA_2023-07-09_final.stac-item
2023-09-04 11:23:26	ga_s2am_ard_3-2-1_51KZS_2023-09-04_final.stac-item
2023-09-10 11:43:05	ga_s2am_ard_3-2-1_51KUU_2023-09-10_final.stac-item
2023-09-20 11:40:59	ga_s2am_ard_3-2-1_51LWG_2023-09-20_final.stac-item
2023-10-07 11:32:51	ga_s2am_ard_3-2-1_51KYU_2023-10-07_final.stac-item
2023-10-27 11:36:46	ga_s2am_ard_3-2-1_51HTD_2023-10-27_final.stac-item
2023-11-29 11:46:18	ga_s2am_ard_3-2-1_50JML_2023-11-29_final.stac-item
2024-01-02 11:23:13	ga_s2am_ard_3-2-1_52KCB_2024-01-02_final.stac-item
2024-01-22 11:25:02	ga_s2am_ard_3-2-1_51JXK_2024-01-22_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