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
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_51HWC_2015-10-23_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGJ_2015-12-17_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGM_2016-01-06_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HPK_2016-04-19_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_51KUU_2016-07-28_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JGL_2016-08-03_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_50KKA_2016-08-26_final.stac-item
2016-10-10 11:22:34	ga_s2am_ard_3-2-1_51JYG_2016-10-10_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_51KUV_2016-12-15_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KWQ_2016-12-22_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49JGM_2017-01-30_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HNJ_2017-02-03_final
2017-02-26 11:49:14	ga_s2am_ard_3-2-1_50KQF_2017-02-26_final.stac-item
2017-03-04 12:14:35	ga_s2am_ard_3-2-1_49JGK_2017-03-04_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_51JTL_2017-04-21_final
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_51JZM_2017-05-25_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50HPK_2017-12-17_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_51HUC_2018-01-26_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49JGK_2018-05-25_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KVU_2018-05-26_final
2018-06-01 11:46:56	ga_s2am_ard_3-2-1_50KQG_2018-06-01_final.stac-item
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLJ_2018-08-20_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49JGN_2018-08-26_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JKN_2018-10-19_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KVU_2018-11-02_final
2018-12-22 11:34:02	ga_s2am_ard_3-2-1_51KWP_2018-12-22_final
2018-12-25 11:42:53	ga_s2am_ard_3-2-1_51KUU_2018-12-25_final
2019-01-04 11:42:36	ga_s2am_ard_3-2-1_51KVV_2019-01-04_final
2019-01-14 11:42:09	ga_s2am_ard_3-2-1_51KVB_2019-01-14_final
2019-01-14 11:44:47	ga_s2am_ard_3-2-1_51JUL_2019-01-14_final
2019-01-31 11:33:53	ga_s2am_ard_3-2-1_51KWQ_2019-01-31_final
2019-04-01 11:37:01	ga_s2am_ard_3-2-1_51HTC_2019-04-01_final
2019-05-28 11:25:27	ga_s2am_ard_3-2-1_51JXJ_2019-05-28_final
2019-06-16 11:57:13	ga_s2am_ard_3-2-1_50HLH_2019-06-16_final
2019-07-23 11:46:39	ga_s2am_ard_3-2-1_50HPK_2019-07-23_final
2019-07-30 11:34:15	ga_s2am_ard_3-2-1_51KWP_2019-07-30_final
2020-01-02 11:53:19	ga_s2am_ard_3-2-1_50KNC_2020-01-02_final
2020-03-15 12:03:19	ga_s2am_ard_3-2-1_50KMC_2020-03-15_final
2020-03-19 11:47:03	ga_s2am_ard_3-2-1_50HNH_2020-03-19_final
2020-05-04 12:05:41	ga_s2am_ard_3-2-1_50JLP_2020-05-04_final
2020-06-07 11:42:52	ga_s2am_ard_3-2-1_51KUV_2020-06-07_final
2020-06-11 11:24:21	ga_s2am_ard_3-2-1_51KWP_2020-06-11_final
2020-07-11 11:27:06	ga_s2am_ard_3-2-1_51HUC_2020-07-11_final
2020-08-03 11:34:16	ga_s2am_ard_3-2-1_51KWP_2020-08-03_final
2020-09-09 11:24:19	ga_s2am_ard_3-2-1_51KWP_2020-09-09_final
2020-10-02 11:36:48	ga_s2am_ard_3-2-1_51HUD_2020-10-02_final
2020-11-15 11:14:32	ga_s2am_ard_3-2-1_51JYN_2020-11-15_final
2020-12-04 11:42:41	ga_s2am_ard_3-2-1_51KVV_2020-12-04_final
2021-01-10 11:34:18	ga_s2am_ard_3-2-1_51KUP_2021-01-10_final
2021-01-26 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-01-26_final
2021-02-03 11:14:37	ga_s2am_ard_3-2-1_51JZM_2021-02-03_final
2021-05-07 11:26:34	ga_s2am_ard_3-2-1_51HXD_2021-05-07_final
2021-05-23 11:42:28	ga_s2am_ard_3-2-1_51KVA_2021-05-23_final
2021-06-09 11:36:47	ga_s2am_ard_3-2-1_51HTD_2021-06-09_final
2021-07-29 11:34:14	ga_s2am_ard_3-2-1_51KWP_2021-07-29_final
2021-08-18 11:33:47	ga_s2am_ard_3-2-1_51KVR_2021-08-18_final
2021-11-22 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-11-22_final
2021-11-29 11:43:00	ga_s2am_ard_3-2-1_51KUU_2021-11-29_final
2021-12-19 11:42:46	ga_s2am_ard_3-2-1_51KUV_2021-12-19_final
2021-12-26 11:32:38	ga_s2am_ard_3-2-1_51KWA_2021-12-26_final
2021-12-28 12:13:56	ga_s2am_ard_3-2-1_50KKA_2021-12-28_final
2022-03-06 11:34:18	ga_s2am_ard_3-2-1_51KVP_2022-03-06_final
2022-04-18 11:42:50	ga_s2am_ard_3-2-1_51KUV_2022-04-18_final
2022-04-22 11:24:19	ga_s2am_ard_3-2-1_51KWP_2022-04-22_final
2022-05-08 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-05-08_final
2022-06-01 11:26:40	ga_s2am_ard_3-2-1_51HUE_2022-06-01_final
2022-06-04 11:33:09	ga_s2am_ard_3-2-1_51KVU_2022-06-04_final
2022-07-14 11:34:23	ga_s2am_ard_3-2-1_51KWP_2022-07-14_final
2022-07-20 11:55:03	ga_s2am_ard_3-2-1_50JNS_2022-07-20_final
2022-07-21 11:26:33	ga_s2am_ard_3-2-1_51HXE_2022-07-21_final
2022-08-13 11:37:15	ga_s2am_ard_3-2-1_50HQH_2022-08-13_final
2022-08-23 11:33:47	ga_s2am_ard_3-2-1_51KUS_2022-08-23_final.stac-item
2022-09-29 11:24:44	ga_s2am_ard_3-2-1_51JYM_2022-09-29_final.stac-item
2022-12-21 11:32:45	ga_s2am_ard_3-2-1_51KVV_2022-12-21_final.stac-item
2023-01-13 11:42:11	ga_s2am_ard_3-2-1_51KVB_2023-01-13_final.stac-item
2023-01-30 11:34:09	ga_s2am_ard_3-2-1_51KWP_2023-01-30_final.stac-item
2023-02-02 11:42:41	ga_s2am_ard_3-2-1_51KVV_2023-02-02_final.stac-item
2023-02-19 11:32:26	ga_s2am_ard_3-2-1_51KWA_2023-02-19_final.stac-item
2023-03-04 11:42:10	ga_s2am_ard_3-2-1_51KVB_2023-03-04_final.stac-item
2023-03-04 11:44:10	ga_s2am_ard_3-2-1_51KUP_2023-03-04_final.stac-item
2023-03-10 12:05:36	ga_s2am_ard_3-2-1_50JKP_2023-03-10_final.stac-item
2023-03-21 11:33:32	ga_s2am_ard_3-2-1_51KUS_2023-03-21_final.stac-item
2023-04-02 12:14:26	ga_s2am_ard_3-2-1_49KGP_2023-04-02_final.stac-item
2023-04-02 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-04-02_final.stac-item
2023-04-19 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2023-04-19_final.stac-item
2023-05-13 11:43:58	ga_s2am_ard_3-2-1_51KUQ_2023-05-13_final.stac-item
2023-05-13 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2023-05-13_final.stac-item
2023-05-17 11:24:03	ga_s2am_ard_3-2-1_51KWQ_2023-05-17_final.stac-item
2023-06-09 11:33:38	ga_s2am_ard_3-2-1_51KUS_2023-06-09_final.stac-item
2023-06-09 11:37:21	ga_s2am_ard_3-2-1_50HQG_2023-06-09_final.stac-item
2023-07-12 11:44:03	ga_s2am_ard_3-2-1_51KUQ_2023-07-12_final.stac-item
2023-08-01 11:43:02	ga_s2am_ard_3-2-1_51KVU_2023-08-01_final.stac-item
2023-09-07 11:33:50	ga_s2am_ard_3-2-1_51KVR_2023-09-07_final.stac-item
2023-09-07 11:34:19	ga_s2am_ard_3-2-1_51KVP_2023-09-07_final.stac-item
2023-10-30 11:46:29	ga_s2am_ard_3-2-1_50HQK_2023-10-30_final.stac-item
2023-11-02 11:55:50	ga_s2am_ard_3-2-1_50JKP_2023-11-02_final.stac-item
2024-01-08 11:42:56	ga_s2am_ard_3-2-1_51KUU_2024-01-08_final.stac-item
2024-02-04 11:33:12	ga_s2am_ard_3-2-1_51KVT_2024-02-04_final.stac-item
2024-02-23 12:05:39	ga_s2am_ard_3-2-1_50JKP_2024-02-23_final.stac-item
2024-03-28 11:43:00	ga_s2am_ard_3-2-1_51KUU_2024-03-28_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