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
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JPP_2016-02-02_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JMS_2016-03-06_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JQN_2016-03-20_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JMR_2016-04-15_final.stac-item
2016-05-08 12:14:47	ga_s2am_ard_3-2-1_49JFN_2016-05-08_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JQQ_2016-05-29_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HMJ_2016-07-08_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JPT_2016-08-10_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50HNG_2016-08-17_final.stac-item
2016-08-20 11:56:10	ga_s2am_ard_3-2-1_50JLM_2016-08-20_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JLM_2016-09-19_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JNM_2016-10-29_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-12-14_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGN_2016-12-31_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHP_2016-12-31_final
2017-03-05 11:37:45	ga_s2am_ard_3-2-1_50JPT_2017-03-05_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50JNR_2017-04-14_final.stac-item
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HMK_2017-05-27_final
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50HMK_2017-06-26_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_49KHS_2017-07-29_final.stac-item
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KHR_2017-12-19_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KGP_2018-01-05_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-02-17_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-03-06_final.stac-item
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JLS_2018-05-25_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HMH_2018-06-01_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HMK_2018-06-28_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HQH_2018-06-28_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HNG_2018-07-05_final.stac-item
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HNH_2018-07-28_final
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50JPR_2018-08-07_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50HLH_2018-08-10_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JNP_2018-08-10_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JQT_2018-08-10_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_50JPS_2018-08-17_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_50JRT_2018-08-17_final
2018-11-11 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2018-11-11_final
2018-12-21 12:04:23	ga_s2am_ard_3-2-1_49KGP_2018-12-21_final
2019-01-31 11:37:23	ga_s2am_ard_3-2-1_50HNG_2019-01-31_final.stac-item
2019-03-04 12:14:22	ga_s2am_ard_3-2-1_49KGP_2019-03-04_final
2019-03-15 11:47:15	ga_s2am_ard_3-2-1_50HPG_2019-03-15_final.stac-item
2019-03-25 11:47:26	ga_s2am_ard_3-2-1_50HLG_2019-03-25_final.stac-item
2019-04-14 11:47:19	ga_s2am_ard_3-2-1_50HPG_2019-04-14_final.stac-item
2019-04-17 11:55:59	ga_s2am_ard_3-2-1_50JLN_2019-04-17_final
2019-05-31 11:37:29	ga_s2am_ard_3-2-1_50HNG_2019-05-31_final.stac-item
2019-06-10 11:37:09	ga_s2am_ard_3-2-1_50HPH_2019-06-10_final
2019-06-13 11:46:29	ga_s2am_ard_3-2-1_50JML_2019-06-13_final
2019-08-02 11:47:32	ga_s2am_ard_3-2-1_50HLG_2019-08-02_final.stac-item
2019-08-29 11:37:27	ga_s2am_ard_3-2-1_50HNG_2019-08-29_final.stac-item
2019-11-10 11:47:19	ga_s2am_ard_3-2-1_50HPG_2019-11-10_final.stac-item
2019-11-23 11:54:24	ga_s2am_ard_3-2-1_50JQT_2019-11-23_final
2019-12-06 12:04:16	ga_s2am_ard_3-2-1_49KGQ_2019-12-06_final
2019-12-29 12:14:54	ga_s2am_ard_3-2-1_49JFM_2019-12-29_final
2020-01-16 11:36:24	ga_s2am_ard_3-2-1_50HPK_2020-01-16_final
2020-02-21 11:55:29	ga_s2am_ard_3-2-1_50JNP_2020-02-21_final
2020-03-09 11:45:20	ga_s2am_ard_3-2-1_50JNQ_2020-03-09_final
2020-03-09 11:47:17	ga_s2am_ard_3-2-1_50HNG_2020-03-09_final.stac-item
2020-03-09 11:47:23	ga_s2am_ard_3-2-1_50HLG_2020-03-09_final.stac-item
2020-03-16 11:37:13	ga_s2am_ard_3-2-1_50HQG_2020-03-16_final.stac-item
2020-03-29 11:45:46	ga_s2am_ard_3-2-1_50JPN_2020-03-29_final
2020-04-18 11:47:21	ga_s2am_ard_3-2-1_50HNG_2020-04-18_final.stac-item
2020-04-18 11:47:28	ga_s2am_ard_3-2-1_50HLG_2020-04-18_final.stac-item
2020-07-20 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-07-20_final
2020-08-03 11:34:43	ga_s2am_ard_3-2-1_50JRT_2020-08-03_final
2020-08-26 11:47:19	ga_s2am_ard_3-2-1_50HLH_2020-08-26_final
2020-09-11 12:05:44	ga_s2am_ard_3-2-1_50JKP_2020-09-11_final
2020-10-21 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-10-21_final.stac-item
2020-12-01 11:37:06	ga_s2am_ard_3-2-1_50HPH_2020-12-01_final
2020-12-21 11:37:20	ga_s2am_ard_3-2-1_50HPG_2020-12-21_final.stac-item
2020-12-27 11:56:10	ga_s2am_ard_3-2-1_50JLM_2020-12-27_final
2021-01-02 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-01-02_final
2021-01-03 11:44:53	ga_s2am_ard_3-2-1_50JPS_2021-01-03_final
2021-01-03 11:45:12	ga_s2am_ard_3-2-1_50JNR_2021-01-03_final
2021-02-08 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2021-02-08_final
2021-02-21 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2021-02-21_final
2021-04-13 11:45:16	ga_s2am_ard_3-2-1_50JPQ_2021-04-13_final
2021-05-16 11:55:42	ga_s2am_ard_3-2-1_50JLP_2021-05-16_final
2021-06-25 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-06-25_final.stac-item
2021-07-02 11:44:40	ga_s2am_ard_3-2-1_50JPT_2021-07-02_final
2021-07-02 11:44:54	ga_s2am_ard_3-2-1_50JPS_2021-07-02_final
2021-07-15 11:56:40	ga_s2am_ard_3-2-1_50HMK_2021-07-15_final
2021-08-14 11:55:49	ga_s2am_ard_3-2-1_50JKP_2021-08-14_final
2021-08-14 11:56:02	ga_s2am_ard_3-2-1_50JKN_2021-08-14_final
2021-08-21 11:44:40	ga_s2am_ard_3-2-1_50JPT_2021-08-21_final
2021-10-10 11:47:12	ga_s2am_ard_3-2-1_50HNH_2021-10-10_final
2021-10-23 11:55:51	ga_s2am_ard_3-2-1_50JKP_2021-10-23_final
2022-01-01 11:55:48	ga_s2am_ard_3-2-1_50JKP_2022-01-01_final
2022-05-11 11:54:55	ga_s2am_ard_3-2-1_50JNS_2022-05-11_final
2022-08-05 12:13:51	ga_s2am_ard_3-2-1_49KHS_2022-08-05_final.stac-item
2022-08-06 11:45:11	ga_s2am_ard_3-2-1_50JPS_2022-08-06_final
2022-11-24 11:47:02	ga_s2am_ard_3-2-1_50HPH_2022-11-24_final.stac-item
2023-04-23 11:47:23	ga_s2am_ard_3-2-1_50HMG_2023-04-23_final.stac-item
2023-05-13 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2023-05-13_final.stac-item
2023-05-20 11:37:23	ga_s2am_ard_3-2-1_50HPG_2023-05-20_final.stac-item
2023-07-02 11:44:55	ga_s2am_ard_3-2-1_50JQS_2023-07-02_final.stac-item
2023-08-04 11:54:42	ga_s2am_ard_3-2-1_50JNT_2023-08-04_final.stac-item
2023-09-17 11:35:31	ga_s2am_ard_3-2-1_50JQP_2023-09-17_final.stac-item
2023-09-17 11:37:30	ga_s2am_ard_3-2-1_50HNG_2023-09-17_final.stac-item
2023-11-22 11:57:18	ga_s2am_ard_3-2-1_50HLG_2023-11-22_final.stac-item
2024-01-11 11:55:41	ga_s2am_ard_3-2-1_50JKP_2024-01-11_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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