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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51HWE_2015-11-25_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_51KUQ_2016-04-29_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51KXU_2016-05-23_final.stac-item
2016-06-06 10:58:03	ga_s2am_ard_3-2-1_52JDR_2016-06-06_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51KUS_2016-06-25_final.stac-item
2016-07-24 12:03:52	ga_s2am_ard_3-2-1_50KMA_2016-07-24_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_51KUS_2016-08-17_final.stac-item
2016-08-21 11:26:11	ga_s2am_ard_3-2-1_51HVE_2016-08-21_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KVA_2017-01-01_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KYB_2017-01-01_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_51KUS_2017-03-25_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49KGR_2017-06-02_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51KWU_2017-09-08_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KXR_2017-11-07_final
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_49JGK_2017-11-26_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JQT_2017-12-30_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JXG_2018-02-02_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KVB_2018-02-15_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51JYJ_2018-03-01_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_52JCN_2018-03-21_final
2018-04-26 11:26:22	ga_s2am_ard_3-2-1_51KVB_2018-04-26_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51HTE_2018-08-04_final
2018-10-10 11:16:56	ga_s2am_ard_3-2-1_51KXT_2018-10-10_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KXT_2018-11-02_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52JEQ_2018-11-03_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50JQM_2018-11-05_final
2018-11-20 10:54:52	ga_s2am_ard_3-2-1_52JGQ_2018-11-20_final
2018-11-29 11:22:44	ga_s2am_ard_3-2-1_51KZU_2018-11-29_final
2018-12-12 11:36:34	ga_s2am_ard_3-2-1_51HUD_2018-12-12_final
2018-12-29 11:23:36	ga_s2am_ard_3-2-1_51KXR_2018-12-29_final
2019-02-03 11:42:57	ga_s2am_ard_3-2-1_51KUU_2019-02-03_final
2019-03-19 11:25:31	ga_s2am_ard_3-2-1_51JYH_2019-03-19_final
2019-03-22 11:35:17	ga_s2am_ard_3-2-1_51JTK_2019-03-22_final
2019-03-30 10:54:47	ga_s2am_ard_3-2-1_52JFR_2019-03-30_final
2019-04-14 11:45:23	ga_s2am_ard_3-2-1_50JPQ_2019-04-14_final
2019-06-29 12:05:51	ga_s2am_ard_3-2-1_50JLN_2019-06-29_final
2019-07-26 11:56:41	ga_s2am_ard_3-2-1_50HMK_2019-07-26_final
2019-08-09 11:33:38	ga_s2am_ard_3-2-1_51KUS_2019-08-09_final
2019-10-05 11:22:26	ga_s2am_ard_3-2-1_51KZA_2019-10-05_final
2019-11-28 11:04:47	ga_s2am_ard_3-2-1_52JER_2019-11-28_final
2020-02-04 12:03:15	ga_s2am_ard_3-2-1_50KMC_2020-02-04_final
2020-02-05 11:32:28	ga_s2am_ard_3-2-1_51KYV_2020-02-05_final
2020-02-28 11:43:20	ga_s2am_ard_3-2-1_51KVS_2020-02-28_final
2020-03-19 11:43:40	ga_s2am_ard_3-2-1_51KUR_2020-03-19_final
2020-03-25 12:04:21	ga_s2am_ard_3-2-1_50KLU_2020-03-25_final
2020-04-25 11:35:58	ga_s2am_ard_3-2-1_51JVG_2020-04-25_final
2020-05-01 11:56:17	ga_s2am_ard_3-2-1_50JKM_2020-05-01_final
2020-05-12 11:27:04	ga_s2am_ard_3-2-1_51HUC_2020-05-12_final
2020-05-22 11:22:04	ga_s2am_ard_3-2-1_51LYC_2020-05-22_final
2020-06-27 11:43:02	ga_s2am_ard_3-2-1_51KVU_2020-06-27_final
2020-06-28 11:13:31	ga_s2am_ard_3-2-1_52KBB_2020-06-28_final
2020-08-10 11:25:26	ga_s2am_ard_3-2-1_51JYJ_2020-08-10_final
2020-10-25 11:43:35	ga_s2am_ard_3-2-1_51KUS_2020-10-25_final
2020-11-01 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2020-11-01_final
2020-12-15 11:15:30	ga_s2am_ard_3-2-1_52JCN_2020-12-15_final
2020-12-18 11:24:30	ga_s2am_ard_3-2-1_51JZM_2020-12-18_final
2021-01-07 11:23:35	ga_s2am_ard_3-2-1_52KBA_2021-01-07_final
2021-02-03 11:15:10	ga_s2am_ard_3-2-1_51JYK_2021-02-03_final
2021-02-06 11:24:29	ga_s2am_ard_3-2-1_51JWN_2021-02-06_final
2021-02-13 11:15:11	ga_s2am_ard_3-2-1_52JDP_2021-02-13_final
2021-02-19 11:32:14	ga_s2am_ard_3-2-1_51KWB_2021-02-19_final
2021-02-23 11:14:20	ga_s2am_ard_3-2-1_52JCT_2021-02-23_final
2021-05-03 11:42:25	ga_s2am_ard_3-2-1_51KVA_2021-05-03_final
2021-05-03 11:44:32	ga_s2am_ard_3-2-1_50JQT_2021-05-03_final
2021-05-24 11:15:58	ga_s2am_ard_3-2-1_51JXG_2021-05-24_final
2021-06-22 11:45:15	ga_s2am_ard_3-2-1_51JTK_2021-06-22_final
2021-08-07 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2021-08-07_final
2021-09-30 11:47:11	ga_s2am_ard_3-2-1_50HNH_2021-09-30_final
2021-10-06 12:05:34	ga_s2am_ard_3-2-1_49JGK_2021-10-06_final
2021-12-16 11:37:01	ga_s2am_ard_3-2-1_51HTC_2021-12-16_final
2021-12-24 10:54:49	ga_s2am_ard_3-2-1_52JFR_2021-12-24_final
2022-01-16 11:05:09	ga_s2am_ard_3-2-1_52JCQ_2022-01-16_final
2022-02-07 11:42:13	ga_s2am_ard_3-2-1_51KVB_2022-02-07_final
2022-02-21 11:23:30	ga_s2am_ard_3-2-1_51KXS_2022-02-21_final
2022-03-03 11:23:24	ga_s2am_ard_3-2-1_51KYS_2022-03-03_final
2022-03-30 11:14:34	ga_s2am_ard_3-2-1_52JDS_2022-03-30_final
2022-04-05 11:37:04	ga_s2am_ard_3-2-1_50HQH_2022-04-05_final
2022-04-09 11:16:21	ga_s2am_ard_3-2-1_51JWF_2022-04-09_final
2022-05-31 11:54:48	ga_s2am_ard_3-2-1_50JMT_2022-05-31_final
2022-07-12 10:56:13	ga_s2am_ard_3-2-1_52JFL_2022-07-12_final
2022-07-13 12:05:27	ga_s2am_ard_3-2-1_49JGL_2022-07-13_final
2022-10-26 11:15:15	ga_s2am_ard_3-2-1_52JDP_2022-10-26_final.stac-item
2022-11-17 11:53:18	ga_s2am_ard_3-2-1_50KNC_2022-11-17_final.stac-item
2023-01-04 11:14:22	ga_s2am_ard_3-2-1_51JZN_2023-01-04_final.stac-item
2023-01-06 11:56:13	ga_s2am_ard_3-2-1_50JKM_2023-01-06_final.stac-item
2023-01-16 11:53:43	ga_s2am_ard_3-2-1_50KQA_2023-01-16_final.stac-item
2023-03-01 11:31:36	ga_s2am_ard_3-2-1_51LYD_2023-03-01_final.stac-item
2023-03-29 10:54:56	ga_s2am_ard_3-2-1_52JGQ_2023-03-29_final.stac-item
2023-04-20 11:33:51	ga_s2am_ard_3-2-1_51KXQ_2023-04-20_final.stac-item
2023-05-30 11:35:41	ga_s2am_ard_3-2-1_50JQP_2023-05-30_final.stac-item
2023-05-31 11:06:37	ga_s2am_ard_3-2-1_52HBJ_2023-05-31_final.stac-item
2023-06-03 11:15:33	ga_s2am_ard_3-2-1_51JXJ_2023-06-03_final.stac-item
2023-07-09 11:33:39	ga_s2am_ard_3-2-1_51KUS_2023-07-09_final.stac-item
2023-07-28 12:04:48	ga_s2am_ard_3-2-1_49JHN_2023-07-28_final.stac-item
2023-10-30 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-10-30_final.stac-item
2023-11-12 11:55:52	ga_s2am_ard_3-2-1_50JMN_2023-11-12_final.stac-item
2023-12-29 11:42:39	ga_s2am_ard_3-2-1_51KVV_2023-12-29_final.stac-item
2024-01-26 11:06:27	ga_s2am_ard_3-2-1_52HBJ_2024-01-26_final.stac-item
2024-04-07 11:43:42	ga_s2am_ard_3-2-1_51KUR_2024-04-07_final.stac-item
2024-04-17 11:44:34	ga_s2am_ard_3-2-1_51JTN_2024-04-17_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