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
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HNJ_2016-05-29_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JTJ_2016-06-05_final.stac-item
2016-07-26 11:02:15	ga_s2am_ard_3-2-1_52KEC_2016-07-26_final.stac-item
2016-09-25 10:34:20	ga_s2am_ard_3-2-1_53HPA_2016-09-25_final.stac-item
2016-11-12 11:26:19	ga_s2am_ard_3-2-1_51KVV_2016-11-12_final.stac-item
2016-11-17 10:42:22	ga_s2am_ard_3-2-1_53HLD_2016-11-17_final.stac-item
2016-11-23 10:57:14	ga_s2am_ard_3-2-1_52LHL_2016-11-23_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JKM_2016-11-28_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KYV_2016-12-22_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KVA_2017-01-14_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52LDJ_2017-01-25_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_51JUH_2017-01-31_final
2017-02-10 11:26:14	ga_s2am_ard_3-2-1_51KVV_2017-02-10_final
2017-02-14 11:07:06	ga_s2am_ard_3-2-1_52LFJ_2017-02-14_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KGP_2017-02-19_final
2017-02-24 11:10:31	ga_s2am_ard_3-2-1_52LGM_2017-02-24_final
2017-05-11 11:28:39	ga_s2am_ard_3-2-1_51JWK_2017-05-11_final
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_52JBL_2017-08-13_final
2017-08-31 12:14:41	ga_s2am_ard_3-2-1_49JGL_2017-08-31_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51HVC_2017-10-05_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JYM_2017-10-05_final
2017-11-16 10:23:25	ga_s2am_ard_3-2-1_53HPB_2017-11-16_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JXH_2018-02-22_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KBU_2018-06-09_final
2018-07-26 10:57:17	ga_s2am_ard_3-2-1_52JEL_2018-07-26_final
2018-08-23 10:17:05	ga_s2am_ard_3-2-1_53HNC_2018-08-23_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HMH_2018-09-26_final
2018-12-03 11:03:19	ga_s2am_ard_3-2-1_52KGA_2018-12-03_final
2018-12-03 11:03:22	ga_s2am_ard_3-2-1_52KFA_2018-12-03_final
2019-01-22 11:00:41	ga_s2am_ard_3-2-1_52LHM_2019-01-22_final
2019-01-25 11:16:17	ga_s2am_ard_3-2-1_52HBK_2019-01-25_final
2019-03-16 11:12:49	ga_s2am_ard_3-2-1_52KCD_2019-03-16_final
2019-04-05 11:11:13	ga_s2am_ard_3-2-1_52LGK_2019-04-05_final
2019-04-30 12:06:13	ga_s2am_ard_3-2-1_50JKM_2019-04-30_final
2019-05-04 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2019-05-04_final
2019-05-12 11:03:20	ga_s2am_ard_3-2-1_52KFB_2019-05-12_final
2019-07-20 11:34:50	ga_s2am_ard_3-2-1_50JRS_2019-07-20_final
2019-09-21 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2019-09-21_final
2019-11-28 11:04:24	ga_s2am_ard_3-2-1_52JGS_2019-11-28_final
2019-12-20 11:44:25	ga_s2am_ard_3-2-1_51JTN_2019-12-20_final
2020-01-02 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2020-01-02_final
2020-02-29 11:16:18	ga_s2am_ard_3-2-1_51HYE_2020-02-29_final
2020-05-12 11:27:04	ga_s2am_ard_3-2-1_51HUC_2020-05-12_final
2020-06-11 11:26:39	ga_s2am_ard_3-2-1_51HUE_2020-06-11_final
2020-08-12 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-08-12_final
2020-09-11 10:26:57	ga_s2am_ard_3-2-1_53HNB_2020-09-11_final
2020-09-16 11:16:16	ga_s2am_ard_3-2-1_51JXF_2020-09-16_final
2020-11-02 11:04:41	ga_s2am_ard_3-2-1_52JDS_2020-11-02_final
2020-12-05 11:10:42	ga_s2am_ard_3-2-1_52LGM_2020-12-05_final
2020-12-11 11:33:53	ga_s2am_ard_3-2-1_51KWQ_2020-12-11_final
2020-12-21 11:32:53	ga_s2am_ard_3-2-1_51KXU_2020-12-21_final
2021-01-24 11:15:11	ga_s2am_ard_3-2-1_51JYK_2021-01-24_final
2021-02-03 11:15:42	ga_s2am_ard_3-2-1_51JXH_2021-02-03_final
2021-02-12 11:43:17	ga_s2am_ard_3-2-1_51KTT_2021-02-12_final
2021-02-13 11:10:42	ga_s2am_ard_3-2-1_52LGM_2021-02-13_final
2021-02-13 11:13:56	ga_s2am_ard_3-2-1_52KEU_2021-02-13_final
2021-03-22 11:04:02	ga_s2am_ard_3-2-1_52KEU_2021-03-22_final
2021-04-20 11:36:58	ga_s2am_ard_3-2-1_50HQH_2021-04-20_final
2021-05-14 11:16:40	ga_s2am_ard_3-2-1_51HXD_2021-05-14_final
2021-06-11 10:36:29	ga_s2am_ard_3-2-1_53HLD_2021-06-11_final
2021-06-17 10:54:12	ga_s2am_ard_3-2-1_52JGT_2021-06-17_final
2021-07-19 11:36:37	ga_s2am_ard_3-2-1_50HQK_2021-07-19_final
2021-07-20 11:06:13	ga_s2am_ard_3-2-1_52JBL_2021-07-20_final
2021-10-11 11:15:38	ga_s2am_ard_3-2-1_52JCN_2021-10-11_final
2021-10-30 11:43:23	ga_s2am_ard_3-2-1_51KTT_2021-10-30_final
2021-11-02 11:56:26	ga_s2am_ard_3-2-1_50JML_2021-11-02_final
2021-11-23 11:22:52	ga_s2am_ard_3-2-1_51KZU_2021-11-23_final
2021-12-17 11:05:59	ga_s2am_ard_3-2-1_52JEL_2021-12-17_final
2021-12-31 10:46:26	ga_s2am_ard_3-2-1_53HLD_2021-12-31_final
2022-03-26 11:35:36	ga_s2am_ard_3-2-1_51JTJ_2022-03-26_final
2022-04-06 11:03:55	ga_s2am_ard_3-2-1_52KDV_2022-04-06_final
2022-05-12 11:27:02	ga_s2am_ard_3-2-1_51HVC_2022-05-12_final
2022-05-17 10:37:04	ga_s2am_ard_3-2-1_53HPA_2022-05-17_final
2022-06-10 11:53:56	ga_s2am_ard_3-2-1_50KQA_2022-06-10_final
2022-06-13 10:27:00	ga_s2am_ard_3-2-1_53HPB_2022-06-13_final
2022-10-05 11:46:48	ga_s2am_ard_3-2-1_50HMK_2022-10-05_final.stac-item
2022-10-12 11:35:13	ga_s2am_ard_3-2-1_51JWK_2022-10-12_final.stac-item
2022-10-24 10:36:31	ga_s2am_ard_3-2-1_53HLD_2022-10-24_final.stac-item
2022-11-21 11:32:12	ga_s2am_ard_3-2-1_51KXB_2022-11-21_final.stac-item
2022-11-21 11:32:33	ga_s2am_ard_3-2-1_51KVA_2022-11-21_final.stac-item
2022-12-11 11:32:08	ga_s2am_ard_3-2-1_51KYB_2022-12-11_final.stac-item
2022-12-11 11:36:24	ga_s2am_ard_3-2-1_51HVE_2022-12-11_final.stac-item
2022-12-12 11:03:49	ga_s2am_ard_3-2-1_52KEV_2022-12-12_final.stac-item
2022-12-31 11:31:34	ga_s2am_ard_3-2-1_51LZD_2022-12-31_final.stac-item
2022-12-31 11:32:25	ga_s2am_ard_3-2-1_51KXA_2022-12-31_final.stac-item
2023-05-21 11:05:51	ga_s2am_ard_3-2-1_52JDM_2023-05-21_final.stac-item
2023-06-03 11:16:15	ga_s2am_ard_3-2-1_51JYF_2023-06-03_final.stac-item
2023-06-09 11:36:41	ga_s2am_ard_3-2-1_50HPK_2023-06-09_final.stac-item
2023-07-19 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2023-07-19_final.stac-item
2023-08-11 11:46:45	ga_s2am_ard_3-2-1_50HMK_2023-08-11_final.stac-item
2023-11-16 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2023-11-16_final.stac-item
2024-01-25 11:33:10	ga_s2am_ard_3-2-1_51KVT_2024-01-25_final.stac-item
2024-01-26 11:03:27	ga_s2am_ard_3-2-1_52KHV_2024-01-26_final.stac-item
2024-02-08 11:16:33	ga_s2am_ard_3-2-1_52HBJ_2024-02-08_final.stac-item
2024-03-02 11:21:11	ga_s2am_ard_3-2-1_51LZF_2024-03-02_final.stac-item
2024-03-05 11:37:03	ga_s2am_ard_3-2-1_50HQH_2024-03-05_final.stac-item
2024-03-09 11:11:34	ga_s2am_ard_3-2-1_52LEJ_2024-03-09_final.stac-item
2024-03-12 11:24:19	ga_s2am_ard_3-2-1_52JBT_2024-03-12_final.stac-item
2024-03-22 11:23:14	ga_s2am_ard_3-2-1_51KXT_2024-03-22_final.stac-item
2024-03-22 11:26:37	ga_s2am_ard_3-2-1_51HXD_2024-03-22_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