Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-08-21 11:04:31	ga_s2am_ard_3-2-1_52JDP_2015-08-21_final
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51HVE_2016-03-24_final
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51KZQ_2016-04-23_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HPG_2016-05-09_final
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_52KDA_2016-05-10_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51KXR_2016-07-15_final.stac-item
2016-11-06 11:07:10	ga_s2am_ard_3-2-1_52KBA_2016-11-06_final.stac-item
2016-11-19 11:19:19	ga_s2am_ard_3-2-1_51HVC_2016-11-19_final.stac-item
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_50KKA_2017-02-19_final.stac-item
2017-03-12 11:27:30	ga_s2am_ard_3-2-1_51KXR_2017-03-12_final.stac-item
2017-03-24 10:32:04	ga_s2am_ard_3-2-1_53HLD_2017-03-24_final.stac-item
2017-12-01 11:12:09	ga_s2am_ard_3-2-1_52KDE_2017-12-01_final.stac-item
2017-12-08 11:02:31	ga_s2am_ard_3-2-1_53KKS_2017-12-08_final.stac-item
2017-12-10 11:37:46	ga_s2am_ard_3-2-1_51KVB_2017-12-10_final.stac-item
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51KYQ_2017-12-24_final.stac-item
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KVQ_2018-01-26_final.stac-item
2018-03-18 10:57:12	ga_s2am_ard_3-2-1_52KFF_2018-03-18_final.stac-item
2018-05-28 10:27:09	ga_s2am_ard_3-2-1_53KPQ_2018-05-28_final.stac-item
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52KEA_2018-06-09_final.stac-item
2018-06-30 10:37:28	ga_s2am_ard_3-2-1_53HLE_2018-06-30_final.stac-item
2018-07-12 11:19:28	ga_s2am_ard_3-2-1_52KBC_2018-07-12_final.stac-item
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMJ_2018-07-18_final.stac-item
2018-12-02 11:33:30	ga_s2am_ard_3-2-1_51KXR_2018-12-02_final.stac-item
2018-12-26 11:15:55	ga_s2am_ard_3-2-1_52JCL_2018-12-26_final.stac-item
2019-01-05 11:10:38	ga_s2am_ard_3-2-1_52LGM_2019-01-05_final.stac-item
2019-02-07 11:25:39	ga_s2am_ard_3-2-1_51JWH_2019-02-07_final.stac-item
2019-02-12 10:33:28	ga_s2am_ard_3-2-1_53KRQ_2019-02-12_final.stac-item
2019-04-29 10:53:14	ga_s2am_ard_3-2-1_53KLS_2019-04-29_final.stac-item
2019-05-10 12:04:39	ga_s2am_ard_3-2-1_50JMT_2019-05-10_final.stac-item
2019-05-29 10:55:13	ga_s2am_ard_3-2-1_53JKJ_2019-05-29_final.stac-item
2019-06-19 12:06:08	ga_s2am_ard_3-2-1_50JLM_2019-06-19_final.stac-item
2019-06-21 11:03:09	ga_s2am_ard_3-2-1_52KEC_2019-06-21_final.stac-item
2019-07-03 11:42:14	ga_s2am_ard_3-2-1_51KWB_2019-07-03_final.stac-item
2019-07-22 10:36:41	ga_s2am_ard_3-2-1_53HNC_2019-07-22_final.stac-item
2019-09-11 11:42:40	ga_s2am_ard_3-2-1_51KVV_2019-09-11_final.stac-item
2019-09-17 10:26:46	ga_s2am_ard_3-2-1_53HQB_2019-09-17_final.stac-item
2019-10-18 11:33:27	ga_s2am_ard_3-2-1_51KXS_2019-10-18_final.stac-item
2019-11-02 10:44:13	ga_s2am_ard_3-2-1_53JMN_2019-11-02_final.stac-item
2019-11-30 11:42:59	ga_s2am_ard_3-2-1_51KUU_2019-11-30_final.stac-item
2019-12-04 11:23:37	ga_s2am_ard_3-2-1_51KYR_2019-12-04_final.stac-item
2020-01-19 11:42:50	ga_s2am_ard_3-2-1_51KVU_2020-01-19_final.stac-item
2020-02-29 11:16:07	ga_s2am_ard_3-2-1_51JXF_2020-02-29_final.stac-item
2020-03-04 10:52:04	ga_s2am_ard_3-2-1_53KKA_2020-03-04_final.stac-item
2020-03-15 10:24:36	ga_s2am_ard_3-2-1_53JQL_2020-03-15_final.stac-item
2020-03-17 11:04:43	ga_s2am_ard_3-2-1_52JER_2020-03-17_final.stac-item
2020-04-25 11:36:59	ga_s2am_ard_3-2-1_51HUC_2020-04-25_final.stac-item
2020-05-09 11:12:57	ga_s2am_ard_3-2-1_52KCD_2020-05-09_final.stac-item
2020-05-20 10:42:52	ga_s2am_ard_3-2-1_53KQT_2020-05-20_final.stac-item
2020-07-17 11:41:38	ga_s2am_ard_3-2-1_51LUE_2020-07-17_final.stac-item
2020-08-11 10:54:53	ga_s2am_ard_3-2-1_52JFR_2020-08-11_final.stac-item
2021-01-21 11:00:31	ga_s2am_ard_3-2-1_52LHN_2021-01-21_final.stac-item
2021-02-13 11:12:34	ga_s2am_ard_3-2-1_52KDE_2021-02-13_final.stac-item
2021-04-09 10:26:56	ga_s2am_ard_3-2-1_53HQA_2021-04-09_final.stac-item
2021-04-22 10:33:30	ga_s2am_ard_3-2-1_53KQQ_2021-04-22_final.stac-item
2021-04-24 11:13:22	ga_s2am_ard_3-2-1_52KBB_2021-04-24_final.stac-item
2021-04-29 12:04:25	ga_s2am_ard_3-2-1_50KKU_2021-04-29_final.stac-item
2021-04-29 12:04:54	ga_s2am_ard_3-2-1_50JKS_2021-04-29_final.stac-item
2021-06-02 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-06-02_final.stac-item
2021-08-01 11:43:00	ga_s2am_ard_3-2-1_51KVU_2021-08-01_final.stac-item
2021-08-03 10:45:54	ga_s2am_ard_3-2-1_53JMF_2021-08-03_final.stac-item
2021-09-06 12:04:28	ga_s2am_ard_3-2-1_50KKU_2021-09-06_final.stac-item
2021-09-16 12:04:59	ga_s2am_ard_3-2-1_50JKS_2021-09-16_final.stac-item
2021-10-26 10:26:59	ga_s2am_ard_3-2-1_53HNB_2021-10-26_final.stac-item
2021-10-31 11:13:18	ga_s2am_ard_3-2-1_52KBC_2021-10-31_final.stac-item
2021-11-06 11:32:54	ga_s2am_ard_3-2-1_51KYU_2021-11-06_final.stac-item
2021-12-10 11:13:21	ga_s2am_ard_3-2-1_52KCB_2021-12-10_final.stac-item
2021-12-23 11:23:01	ga_s2am_ard_3-2-1_51KXU_2021-12-23_final.stac-item
2022-01-25 11:32:37	ga_s2am_ard_3-2-1_51KYV_2022-01-25_final.stac-item
2022-04-14 12:05:09	ga_s2am_ard_3-2-1_49JGM_2022-04-14_final.stac-item
2022-05-02 11:24:07	ga_s2am_ard_3-2-1_51KWQ_2022-05-02_final.stac-item
2022-06-23 12:04:45	ga_s2am_ard_3-2-1_50KLU_2022-06-23_final.stac-item
2022-06-23 12:05:56	ga_s2am_ard_3-2-1_49JGJ_2022-06-23_final.stac-item
2022-07-14 11:37:15	ga_s2am_ard_3-2-1_50HQH_2022-07-14_final.stac-item
2022-07-15 11:04:12	ga_s2am_ard_3-2-1_52KFU_2022-07-15_final.stac-item
2022-08-20 11:24:27	ga_s2am_ard_3-2-1_51KWP_2022-08-20_final.stac-item
2022-09-29 11:23:23	ga_s2am_ard_3-2-1_52KCB_2022-09-29_final.stac-item
2022-10-20 10:54:39	ga_s2am_ard_3-2-1_53JLL_2022-10-20_final.stac-item
2022-10-30 10:54:01	ga_s2am_ard_3-2-1_52KHU_2022-10-30_final.stac-item
2022-12-01 11:33:13	ga_s2am_ard_3-2-1_51KWT_2022-12-01_final.stac-item
2022-12-18 11:21:31	ga_s2am_ard_3-2-1_52LDJ_2022-12-18_final.stac-item
2022-12-18 11:23:34	ga_s2am_ard_3-2-1_52KBA_2022-12-18_final.stac-item
2022-12-28 11:23:48	ga_s2am_ard_3-2-1_51KZQ_2022-12-28_final.stac-item
2023-01-01 11:06:20	ga_s2am_ard_3-2-1_52HCK_2023-01-01_final
2023-01-25 10:44:21	ga_s2am_ard_3-2-1_53JMM_2023-01-25_final.stac-item
2023-02-04 10:41:29	ga_s2am_ard_3-2-1_53LND_2023-02-04_final.stac-item
2023-04-23 11:45:45	ga_s2am_ard_3-2-1_50JQN_2023-04-23_final
2023-04-23 11:46:14	ga_s2am_ard_3-2-1_50JQL_2023-04-23_final
2023-05-31 11:03:45	ga_s2am_ard_3-2-1_52KGV_2023-05-31_final
2023-06-15 11:53:25	ga_s2am_ard_3-2-1_50KPC_2023-06-15_final
2023-07-13 11:15:15	ga_s2am_ard_3-2-1_51JYK_2023-07-13_final
2023-08-25 11:24:10	ga_s2am_ard_3-2-1_51KZP_2023-08-25_final
2023-08-26 10:55:30	ga_s2am_ard_3-2-1_53JKH_2023-08-26_final
2023-11-12 11:55:59	ga_s2am_ard_3-2-1_50JKN_2023-11-12_final
2023-11-13 11:24:02	ga_s2am_ard_3-2-1_52KBU_2023-11-13_final
2024-01-18 11:42:51	ga_s2am_ard_3-2-1_51KUU_2024-01-18_final
2024-01-25 11:33:32	ga_s2am_ard_3-2-1_51KXR_2024-01-25_final
2024-03-03 10:52:20	ga_s2am_ard_3-2-1_53KNV_2024-03-03_final
2024-03-09 11:11:02	ga_s2am_ard_3-2-1_52LFL_2024-03-09_final
2024-03-11 11:55:53	ga_s2am_ard_3-2-1_50JMN_2024-03-11_final
2024-04-08 11:14:08	ga_s2am_ard_3-2-1_51KZP_2024-04-08_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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