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
2015-12-29 11:06:56	ga_s2am_ard_3-2-1_52KGC_2015-12-29_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KZS_2016-01-24_final.stac-item
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_52KDB_2016-01-31_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KNU_2016-07-01_final.stac-item
2016-07-24 12:03:52	ga_s2am_ard_3-2-1_50KMA_2016-07-24_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51JVG_2016-08-24_final.stac-item
2016-09-04 11:02:10	ga_s2am_ard_3-2-1_52KGD_2016-09-04_final.stac-item
2016-10-27 11:09:33	ga_s2am_ard_3-2-1_52KEU_2016-10-27_final.stac-item
2016-10-31 10:50:37	ga_s2am_ard_3-2-1_52JGP_2016-10-31_final.stac-item
2017-03-26 11:11:44	ga_s2am_ard_3-2-1_52KEF_2017-03-26_final
2017-04-02 11:02:44	ga_s2am_ard_3-2-1_52JEL_2017-04-02_final
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51HWD_2017-04-28_final
2017-07-25 10:43:07	ga_s2am_ard_3-2-1_53HLD_2017-07-25_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51JVG_2017-08-19_final
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51LXD_2017-09-08_final
2017-11-01 11:07:12	ga_s2am_ard_3-2-1_52LHM_2017-11-01_final
2017-12-29 10:32:26	ga_s2am_ard_3-2-1_53HPA_2017-12-29_final
2018-01-10 11:12:24	ga_s2am_ard_3-2-1_52KCA_2018-01-10_final
2018-01-20 11:11:55	ga_s2am_ard_3-2-1_51HYD_2018-01-20_final
2018-01-30 11:12:10	ga_s2am_ard_3-2-1_52KCD_2018-01-30_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JWH_2018-02-02_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HNK_2018-02-08_final
2018-02-13 10:52:02	ga_s2am_ard_3-2-1_52KGU_2018-02-13_final
2018-02-13 10:52:02	ga_s2am_ard_3-2-1_53JKL_2018-02-13_final
2018-02-16 10:58:46	ga_s2am_ard_3-2-1_52LGM_2018-02-16_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KUT_2018-02-18_final
2018-03-14 11:26:47	ga_s2am_ard_3-2-1_51HUC_2018-03-14_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_50JQL_2018-03-27_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50KNU_2018-04-22_final
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_52JCM_2018-05-20_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JKT_2018-06-04_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52JDR_2018-06-09_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_52JBP_2018-06-19_final
2018-06-19 11:15:33	ga_s2am_ard_3-2-1_52JBM_2018-06-19_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JLN_2018-07-04_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50HLH_2018-07-21_final
2018-12-21 10:26:09	ga_s2am_ard_3-2-1_53HQD_2018-12-21_final
2019-03-01 12:06:05	ga_s2am_ard_3-2-1_50JKM_2019-03-01_final
2019-05-12 11:02:44	ga_s2am_ard_3-2-1_52KHD_2019-05-12_final
2019-07-15 10:46:29	ga_s2am_ard_3-2-1_53HLD_2019-07-15_final
2019-08-05 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2019-08-05_final
2019-09-11 11:47:05	ga_s2am_ard_3-2-1_50HNH_2019-09-11_final
2019-10-04 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2019-10-04_final
2019-10-05 11:26:34	ga_s2am_ard_3-2-1_51HUE_2019-10-05_final
2019-12-01 11:11:39	ga_s2am_ard_3-2-1_52LGH_2019-12-01_final
2019-12-14 11:22:22	ga_s2am_ard_3-2-1_51KYA_2019-12-14_final
2019-12-14 11:24:14	ga_s2am_ard_3-2-1_51JZN_2019-12-14_final
2020-02-26 11:02:24	ga_s2am_ard_3-2-1_52KGE_2020-02-26_final
2020-06-11 11:25:52	ga_s2am_ard_3-2-1_51JVH_2020-06-11_final
2020-08-13 11:36:11	ga_s2am_ard_3-2-1_50JQM_2020-08-13_final
2020-08-23 11:34:42	ga_s2am_ard_3-2-1_50JRT_2020-08-23_final
2020-10-23 11:06:42	ga_s2am_ard_3-2-1_51HYD_2020-10-23_final
2020-12-11 11:34:02	ga_s2am_ard_3-2-1_51KXP_2020-12-11_final
2020-12-21 11:33:15	ga_s2am_ard_3-2-1_51KVT_2020-12-21_final
2020-12-22 11:01:01	ga_s2am_ard_3-2-1_52LGL_2020-12-22_final
2020-12-25 11:12:16	ga_s2am_ard_3-2-1_52KEF_2020-12-25_final
2021-01-09 12:06:10	ga_s2am_ard_3-2-1_50JKM_2021-01-09_final
2021-01-14 11:15:48	ga_s2am_ard_3-2-1_52JCM_2021-01-14_final
2021-01-20 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2021-01-20_final
2021-01-28 10:54:26	ga_s2am_ard_3-2-1_52JHS_2021-01-28_final
2021-01-30 11:32:32	ga_s2am_ard_3-2-1_51KVA_2021-01-30_final
2021-02-02 11:45:17	ga_s2am_ard_3-2-1_50JQQ_2021-02-02_final
2021-02-02 11:45:39	ga_s2am_ard_3-2-1_50JNP_2021-02-02_final
2021-03-11 11:36:57	ga_s2am_ard_3-2-1_51HUC_2021-03-11_final
2021-04-09 12:04:44	ga_s2am_ard_3-2-1_50JMS_2021-04-09_final
2021-09-05 10:52:32	ga_s2am_ard_3-2-1_52KHE_2021-09-05_final
2021-12-08 12:13:38	ga_s2am_ard_3-2-1_50KKB_2021-12-08_final
2021-12-14 10:55:16	ga_s2am_ard_3-2-1_52JFP_2021-12-14_final
2021-12-27 11:00:32	ga_s2am_ard_3-2-1_52LHN_2021-12-27_final
2022-01-22 11:22:00	ga_s2am_ard_3-2-1_52KDG_2022-01-22_final
2022-01-25 11:37:03	ga_s2am_ard_3-2-1_50HQH_2022-01-25_final
2022-02-02 10:54:59	ga_s2am_ard_3-2-1_52JGQ_2022-02-02_final
2022-04-28 11:44:25	ga_s2am_ard_3-2-1_50KQU_2022-04-28_final
2022-06-01 11:24:23	ga_s2am_ard_3-2-1_51KWP_2022-06-01_final
2022-06-28 11:11:39	ga_s2am_ard_3-2-1_52LGJ_2022-06-28_final
2022-08-02 10:26:17	ga_s2am_ard_3-2-1_53HPE_2022-08-02_final
2022-09-29 11:24:22	ga_s2am_ard_3-2-1_51KWP_2022-09-29_final.stac-item
2022-10-07 10:46:31	ga_s2am_ard_3-2-1_53HLD_2022-10-07_final.stac-item
2022-12-21 11:33:36	ga_s2am_ard_3-2-1_51KXR_2022-12-21_final.stac-item
2022-12-21 11:33:40	ga_s2am_ard_3-2-1_51KWR_2022-12-21_final.stac-item
2023-01-08 10:54:43	ga_s2am_ard_3-2-1_52JGR_2023-01-08_final.stac-item
2023-03-25 11:15:56	ga_s2am_ard_3-2-1_51JXG_2023-03-25_final.stac-item
2023-05-06 11:53:36	ga_s2am_ard_3-2-1_50KPB_2023-05-06_final.stac-item
2023-07-30 11:03:59	ga_s2am_ard_3-2-1_52KDV_2023-07-30_final.stac-item
2023-08-11 11:46:14	ga_s2am_ard_3-2-1_50JMM_2023-08-11_final.stac-item
2023-09-06 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2023-09-06_final.stac-item
2023-09-13 10:16:56	ga_s2am_ard_3-2-1_53HQB_2023-09-13_final.stac-item
2023-09-20 11:47:16	ga_s2am_ard_3-2-1_50HLH_2023-09-20_final.stac-item
2023-09-23 11:56:20	ga_s2am_ard_3-2-1_50JNL_2023-09-23_final.stac-item
2023-12-07 11:06:04	ga_s2am_ard_3-2-1_52JBL_2023-12-07_final.stac-item
2024-01-16 11:01:50	ga_s2am_ard_3-2-1_52KHG_2024-01-16_final.stac-item
2024-01-16 11:03:20	ga_s2am_ard_3-2-1_52KGA_2024-01-16_final.stac-item
2024-01-25 11:33:42	ga_s2am_ard_3-2-1_51KUR_2024-01-25_final.stac-item
2024-02-21 11:21:38	ga_s2am_ard_3-2-1_51LZD_2024-02-21_final.stac-item
2024-02-24 11:31:54	ga_s2am_ard_3-2-1_51LYC_2024-02-24_final.stac-item
2024-03-06 11:02:16	ga_s2am_ard_3-2-1_52KGF_2024-03-06_final.stac-item
2024-03-08 11:43:59	ga_s2am_ard_3-2-1_51KUQ_2024-03-08_final.stac-item
2024-03-14 10:27:05	ga_s2am_ard_3-2-1_53HPA_2024-03-14_final.stac-item
2024-04-02 10:56:02	ga_s2am_ard_3-2-1_52JEL_2024-04-02_final.stac-item
2024-04-21 11:23:19	ga_s2am_ard_3-2-1_52KCB_2024-04-21_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