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
2016-01-21 11:11:04	ga_s2am_ard_3-2-1_52LHM_2016-01-21_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JLN_2016-03-16_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JDQ_2016-03-28_final.stac-item
2016-05-28 10:28:07	ga_s2am_ard_3-2-1_53JQN_2016-05-28_final.stac-item
2016-06-17 10:34:26	ga_s2am_ard_3-2-1_53HQE_2016-06-17_final.stac-item
2016-06-17 10:34:26	ga_s2am_ard_3-2-1_53JQF_2016-06-17_final.stac-item
2016-07-24 12:03:52	ga_s2am_ard_3-2-1_49KHR_2016-07-24_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HNK_2016-07-28_final.stac-item
2016-10-20 11:26:04	ga_s2am_ard_3-2-1_51JUF_2016-10-20_final.stac-item
2016-12-23 10:57:35	ga_s2am_ard_3-2-1_52LGL_2016-12-23_final
2016-12-27 10:38:37	ga_s2am_ard_3-2-1_53KMR_2016-12-27_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JWK_2017-01-18_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52LFH_2017-01-25_final
2017-02-16 10:12:41	ga_s2am_ard_3-2-1_53HQB_2017-02-16_final
2017-02-21 11:00:21	ga_s2am_ard_3-2-1_51HYD_2017-02-21_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51HXD_2017-03-19_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_52LBJ_2017-03-19_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HMK_2017-09-21_final
2017-10-10 10:32:09	ga_s2am_ard_3-2-1_53JNK_2017-10-10_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_50JQM_2018-02-25_final
2018-03-05 10:55:14	ga_s2am_ard_3-2-1_52JFL_2018-03-05_final
2018-05-10 11:12:54	ga_s2am_ard_3-2-1_51HXD_2018-05-10_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50KQA_2018-06-11_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49JGK_2018-08-16_final
2018-08-18 11:12:58	ga_s2am_ard_3-2-1_51HXD_2018-08-18_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JVF_2018-09-30_final
2018-11-16 11:13:51	ga_s2am_ard_3-2-1_52KEU_2018-11-16_final
2018-12-01 10:25:58	ga_s2am_ard_3-2-1_53HPE_2018-12-01_final
2018-12-10 10:54:57	ga_s2am_ard_3-2-1_53JLJ_2018-12-10_final
2019-01-02 11:01:11	ga_s2am_ard_3-2-1_52LGK_2019-01-02_final
2019-01-19 10:55:31	ga_s2am_ard_3-2-1_52JEN_2019-01-19_final
2019-05-12 11:03:06	ga_s2am_ard_3-2-1_52KFC_2019-05-12_final
2019-07-10 11:33:39	ga_s2am_ard_3-2-1_51KUS_2019-07-10_final
2019-10-04 11:57:08	ga_s2am_ard_3-2-1_50HMH_2019-10-04_final
2019-10-19 11:03:16	ga_s2am_ard_3-2-1_52KGB_2019-10-19_final
2020-01-10 11:11:07	ga_s2am_ard_3-2-1_52LGK_2020-01-10_final
2020-02-08 11:43:10	ga_s2am_ard_3-2-1_51KTT_2020-02-08_final
2020-02-29 11:12:01	ga_s2am_ard_3-2-1_52KDG_2020-02-29_final
2020-03-08 12:14:56	ga_s2am_ard_3-2-1_49JFM_2020-03-08_final
2020-03-21 10:44:25	ga_s2am_ard_3-2-1_53JPL_2020-03-21_final
2020-03-30 11:14:36	ga_s2am_ard_3-2-1_52JBS_2020-03-30_final
2020-04-08 11:43:33	ga_s2am_ard_3-2-1_51KVR_2020-04-08_final
2020-04-27 10:34:16	ga_s2am_ard_3-2-1_53JRM_2020-04-27_final
2020-05-25 11:34:42	ga_s2am_ard_3-2-1_50JRT_2020-05-25_final
2020-07-01 11:24:10	ga_s2am_ard_3-2-1_52KBU_2020-07-01_final
2020-07-29 10:46:04	ga_s2am_ard_3-2-1_53JKF_2020-07-29_final
2020-08-13 11:33:22	ga_s2am_ard_3-2-1_51KVT_2020-08-13_final
2020-08-15 10:36:09	ga_s2am_ard_3-2-1_53HPE_2020-08-15_final
2020-11-28 11:24:02	ga_s2am_ard_3-2-1_51KWQ_2020-11-28_final
2020-12-11 11:35:37	ga_s2am_ard_3-2-1_51JVH_2020-12-11_final
2020-12-12 11:03:38	ga_s2am_ard_3-2-1_52KGV_2020-12-12_final
2021-01-20 11:33:03	ga_s2am_ard_3-2-1_51KYT_2021-01-20_final
2021-01-31 11:05:23	ga_s2am_ard_3-2-1_52JCP_2021-01-31_final
2021-02-01 12:15:20	ga_s2am_ard_3-2-1_49JGK_2021-02-01_final
2021-02-23 11:11:44	ga_s2am_ard_3-2-1_52LFH_2021-02-23_final
2021-03-25 11:14:58	ga_s2am_ard_3-2-1_52JDQ_2021-03-25_final
2021-04-09 12:05:25	ga_s2am_ard_3-2-1_49JGK_2021-04-09_final
2021-04-10 11:34:49	ga_s2am_ard_3-2-1_51JWL_2021-04-10_final
2021-05-04 11:16:29	ga_s2am_ard_3-2-1_51HWE_2021-05-04_final
2021-05-29 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-05-29_final
2021-06-06 11:23:01	ga_s2am_ard_3-2-1_51KXU_2021-06-06_final
2021-06-16 11:23:25	ga_s2am_ard_3-2-1_51KYS_2021-06-16_final
2021-06-18 12:06:10	ga_s2am_ard_3-2-1_50JKM_2021-06-18_final
2021-10-31 11:14:39	ga_s2am_ard_3-2-1_52JCS_2021-10-31_final
2021-11-08 10:34:50	ga_s2am_ard_3-2-1_53JQK_2021-11-08_final
2022-01-10 10:43:49	ga_s2am_ard_3-2-1_53KPP_2022-01-10_final
2022-01-12 11:26:53	ga_s2am_ard_3-2-1_51HVC_2022-01-12_final
2022-01-25 11:31:35	ga_s2am_ard_3-2-1_51LZD_2022-01-25_final
2022-02-02 10:52:59	ga_s2am_ard_3-2-1_52KHC_2022-02-02_final
2022-06-05 11:06:14	ga_s2am_ard_3-2-1_52JCL_2022-06-05_final
2022-06-06 10:34:07	ga_s2am_ard_3-2-1_53JRN_2022-06-06_final.stac-item
2022-06-18 11:15:41	ga_s2am_ard_3-2-1_51JXJ_2022-06-18_final
2022-07-06 10:36:41	ga_s2am_ard_3-2-1_53HLD_2022-07-06_final
2022-07-10 11:55:08	ga_s2am_ard_3-2-1_50JMS_2022-07-10_final
2022-08-22 12:06:08	ga_s2am_ard_3-2-1_50JKN_2022-08-22_final
2022-09-29 11:23:28	ga_s2am_ard_3-2-1_51KZS_2022-09-29_final.stac-item
2022-10-04 10:36:14	ga_s2am_ard_3-2-1_53HNE_2022-10-04_final.stac-item
2022-10-07 10:45:54	ga_s2am_ard_3-2-1_52JGM_2022-10-07_final.stac-item
2022-10-22 11:36:45	ga_s2am_ard_3-2-1_51HUD_2022-10-22_final.stac-item
2022-11-04 11:47:18	ga_s2am_ard_3-2-1_50HLH_2022-11-04_final.stac-item
2022-11-25 11:16:36	ga_s2am_ard_3-2-1_51HYD_2022-11-25_final.stac-item
2022-12-06 10:46:21	ga_s2am_ard_3-2-1_53HMD_2022-12-06_final.stac-item
2023-01-19 10:26:56	ga_s2am_ard_3-2-1_53HQA_2023-01-19_final.stac-item
2023-01-28 10:52:13	ga_s2am_ard_3-2-1_53KKA_2023-01-28_final.stac-item
2023-02-20 11:03:02	ga_s2am_ard_3-2-1_52KEC_2023-02-20_final.stac-item
2023-04-13 11:44:41	ga_s2am_ard_3-2-1_50JRS_2023-04-13_final.stac-item
2023-04-14 11:13:39	ga_s2am_ard_3-2-1_52KBA_2023-04-14_final.stac-item
2023-05-06 11:57:15	ga_s2am_ard_3-2-1_49HGC_2023-05-06_nrt.stac-item
2023-06-13 12:51:04	ga_s2am_ard_3-2-1_48LWP_2023-06-13_final.stac-item
2023-06-20 11:03:13	ga_s2am_ard_3-2-1_52KHB_2023-06-20_final.stac-item
2023-07-01 10:34:08	ga_s2am_ard_3-2-1_53JQN_2023-07-01_final.stac-item
2023-07-02 11:42:47	ga_s2am_ard_3-2-1_51KVV_2023-07-02_final.stac-item
2023-10-13 11:55:46	ga_s2am_ard_3-2-1_50JMN_2023-10-13_final.stac-item
2023-12-28 10:34:01	ga_s2am_ard_3-2-1_53JQN_2023-12-28_final.stac-item
2024-01-12 11:26:30	ga_s2am_ard_3-2-1_51HXD_2024-01-12_final.stac-item
2024-01-18 11:43:06	ga_s2am_ard_3-2-1_51KUT_2024-01-18_final.stac-item
2024-02-08 11:10:57	ga_s2am_ard_3-2-1_52LFL_2024-02-08_final.stac-item
2024-02-27 11:41:58	ga_s2am_ard_3-2-1_51LVC_2024-02-27_final.stac-item
2024-03-12 11:23:13	ga_s2am_ard_3-2-1_51KXT_2024-03-12_final.stac-item
2024-03-29 11:15:33	ga_s2am_ard_3-2-1_52JCN_2024-03-29_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

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