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
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49JGL_2015-10-21_final.stac-item
2015-11-20 12:14:39	ga_s2am_ard_3-2-1_49JGM_2015-11-20_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KVR_2016-06-05_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51JWJ_2016-08-24_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50KMC_2016-11-21_final.stac-item
2017-05-04 11:38:37	ga_s2am_ard_3-2-1_51KVB_2017-05-04_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50KMC_2017-06-19_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KHP_2017-09-27_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50KRV_2017-12-30_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JGL_2018-01-05_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JFM_2018-05-18_final
2018-05-22 11:48:06	ga_s2am_ard_3-2-1_50KMC_2018-05-22_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51JUJ_2018-07-25_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_51KXP_2018-08-14_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JNN_2018-08-20_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGJ_2018-09-02_final
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51KWS_2018-09-23_final
2018-11-14 12:13:49	ga_s2am_ard_3-2-1_49KHR_2018-11-14_final
2019-01-01 11:33:24	ga_s2am_ard_3-2-1_51KVS_2019-01-01_final
2019-01-10 12:04:56	ga_s2am_ard_3-2-1_49JGM_2019-01-10_final
2019-01-11 11:34:10	ga_s2am_ard_3-2-1_51KVP_2019-01-11_final
2019-02-03 11:42:57	ga_s2am_ard_3-2-1_51KUU_2019-02-03_final
2019-02-20 11:33:15	ga_s2am_ard_3-2-1_51KXS_2019-02-20_final
2019-03-18 11:55:50	ga_s2am_ard_3-2-1_50JMN_2019-03-18_final
2019-04-03 12:14:42	ga_s2am_ard_3-2-1_49JGN_2019-04-03_final
2019-04-21 11:32:22	ga_s2am_ard_3-2-1_51KVB_2019-04-21_final
2019-05-24 11:42:49	ga_s2am_ard_3-2-1_51KUV_2019-05-24_final
2019-05-31 11:34:13	ga_s2am_ard_3-2-1_51KWP_2019-05-31_final
2019-06-06 11:55:58	ga_s2am_ard_3-2-1_50JLN_2019-06-06_final
2019-08-29 11:33:39	ga_s2am_ard_3-2-1_51KXR_2019-08-29_final
2019-10-28 11:33:01	ga_s2am_ard_3-2-1_51KWU_2019-10-28_final
2019-11-07 11:33:59	ga_s2am_ard_3-2-1_51KWQ_2019-11-07_final
2020-01-19 11:43:30	ga_s2am_ard_3-2-1_50KQB_2020-01-19_final
2020-02-18 11:46:37	ga_s2am_ard_3-2-1_50HNK_2020-02-18_final
2020-03-12 11:53:40	ga_s2am_ard_3-2-1_50KQA_2020-03-12_final
2020-04-21 11:56:19	ga_s2am_ard_3-2-1_50JNL_2020-04-21_final
2020-05-19 11:15:30	ga_s2am_ard_3-2-1_51JYJ_2020-05-19_final
2020-06-04 11:32:21	ga_s2am_ard_3-2-1_51KWB_2020-06-04_final
2020-06-27 11:42:51	ga_s2am_ard_3-2-1_51KUV_2020-06-27_final
2020-07-21 11:24:49	ga_s2am_ard_3-2-1_51JWM_2020-07-21_final
2020-07-31 11:24:04	ga_s2am_ard_3-2-1_51KWQ_2020-07-31_final
2020-09-12 11:37:01	ga_s2am_ard_3-2-1_51HUC_2020-09-12_final
2020-10-31 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2020-10-31_final
2020-11-07 11:53:29	ga_s2am_ard_3-2-1_50KNC_2020-11-07_final
2020-11-21 11:33:36	ga_s2am_ard_3-2-1_51KUS_2020-11-21_final
2020-11-30 12:05:38	ga_s2am_ard_3-2-1_50JLP_2020-11-30_final
2021-01-07 11:24:37	ga_s2am_ard_3-2-1_51JYM_2021-01-07_final
2021-01-19 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-01-19_final
2021-01-20 11:36:27	ga_s2am_ard_3-2-1_50JPL_2021-01-20_final
2021-02-09 11:33:37	ga_s2am_ard_3-2-1_51KXR_2021-02-09_final
2021-02-19 11:36:37	ga_s2am_ard_3-2-1_50HPK_2021-02-19_final
2021-04-06 11:55:38	ga_s2am_ard_3-2-1_50JLP_2021-04-06_final
2021-04-10 11:35:32	ga_s2am_ard_3-2-1_50JQP_2021-04-10_final
2021-05-23 11:42:14	ga_s2am_ard_3-2-1_51KVB_2021-05-23_final
2021-07-05 11:56:02	ga_s2am_ard_3-2-1_50JKN_2021-07-05_final
2021-07-18 12:04:02	ga_s2am_ard_3-2-1_50KKA_2021-07-18_final
2021-07-22 11:42:31	ga_s2am_ard_3-2-1_51KVA_2021-07-22_final
2021-07-28 12:03:44	ga_s2am_ard_3-2-1_50KLB_2021-07-28_final
2021-09-04 11:26:33	ga_s2am_ard_3-2-1_51HUE_2021-09-04_final
2021-10-23 11:53:16	ga_s2am_ard_3-2-1_50KRC_2021-10-23_final
2021-11-02 11:55:07	ga_s2am_ard_3-2-1_50JPR_2021-11-02_final
2022-01-08 11:43:19	ga_s2am_ard_3-2-1_51KTT_2022-01-08_final
2022-04-18 11:42:25	ga_s2am_ard_3-2-1_51KVA_2022-04-18_final
2022-04-28 11:42:33	ga_s2am_ard_3-2-1_51KVA_2022-04-28_final
2022-05-11 11:53:14	ga_s2am_ard_3-2-1_50KRC_2022-05-11_final
2022-05-18 11:46:39	ga_s2am_ard_3-2-1_50HPK_2022-05-18_final
2022-08-02 12:04:09	ga_s2am_ard_3-2-1_49KHR_2022-08-02_final
2022-08-03 11:35:26	ga_s2am_ard_3-2-1_51JUK_2022-08-03_final
2022-09-11 12:04:42	ga_s2am_ard_3-2-1_49KGP_2022-09-11_final.stac-item
2022-10-01 12:05:48	ga_s2am_ard_3-2-1_50JKP_2022-10-01_final.stac-item
2022-10-25 11:42:12	ga_s2am_ard_3-2-1_51KWB_2022-10-25_final.stac-item
2022-10-25 11:47:20	ga_s2am_ard_3-2-1_50HPG_2022-10-25_final.stac-item
2022-10-29 11:24:55	ga_s2am_ard_3-2-1_51JYL_2022-10-29_final.stac-item
2022-11-01 11:37:01	ga_s2am_ard_3-2-1_51HUC_2022-11-01_final.stac-item
2022-12-13 12:15:20	ga_s2am_ard_3-2-1_49JGK_2022-12-13_final.stac-item
2023-01-20 11:33:11	ga_s2am_ard_3-2-1_51KVT_2023-01-20_final.stac-item
2023-02-05 11:53:34	ga_s2am_ard_3-2-1_50KPB_2023-02-05_final.stac-item
2023-02-05 11:55:49	ga_s2am_ard_3-2-1_50JLN_2023-02-05_final.stac-item
2023-02-06 11:23:56	ga_s2am_ard_3-2-1_51KXQ_2023-02-06_final.stac-item
2023-03-28 11:25:11	ga_s2am_ard_3-2-1_51JWK_2023-03-28_final.stac-item
2023-04-09 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-04-09_final.stac-item
2023-04-23 11:42:40	ga_s2am_ard_3-2-1_51KUV_2023-04-23_final.stac-item
2023-04-26 11:52:19	ga_s2am_ard_3-2-1_50KQG_2023-04-26_final.stac-item
2023-07-11 12:15:16	ga_s2am_ard_3-2-1_49JGL_2023-07-11_final.stac-item
2023-07-19 11:32:33	ga_s2am_ard_3-2-1_51KWA_2023-07-19_final.stac-item
2023-08-05 11:25:33	ga_s2am_ard_3-2-1_51JWJ_2023-08-05_final.stac-item
2023-09-04 11:24:07	ga_s2am_ard_3-2-1_51KWQ_2023-09-04_final.stac-item
2023-09-23 11:53:23	ga_s2am_ard_3-2-1_50KPC_2023-09-23_final.stac-item
2023-09-30 11:42:15	ga_s2am_ard_3-2-1_51KVB_2023-09-30_final.stac-item
2023-10-04 11:23:15	ga_s2am_ard_3-2-1_51KXT_2023-10-04_final.stac-item
2023-11-05 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-11-05_final.stac-item
2023-11-25 12:04:55	ga_s2am_ard_3-2-1_49JGM_2023-11-25_final.stac-item
2023-11-29 11:45:46	ga_s2am_ard_3-2-1_50JNN_2023-11-29_final.stac-item
2023-12-18 12:13:36	ga_s2am_ard_3-2-1_50KKB_2023-12-18_final.stac-item
2024-01-08 11:42:05	ga_s2am_ard_3-2-1_51KWB_2024-01-08_final.stac-item
2024-03-18 11:45:54	ga_s2am_ard_3-2-1_50JNN_2024-03-18_final.stac-item
2024-03-27 12:14:27	ga_s2am_ard_3-2-1_49KGP_2024-03-27_final.stac-item
2024-03-29 11:15:42	ga_s2am_ard_3-2-1_51JXH_2024-03-29_final.stac-item
2024-04-04 11:33:21	ga_s2am_ard_3-2-1_51KXS_2024-04-04_final.stac-item
2024-04-11 11:27:02	ga_s2am_ard_3-2-1_51HUC_2024-04-11_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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