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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JLL_2015-12-04_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_50JPL_2015-12-08_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JKP_2015-12-17_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JKP_2016-05-15_final.stac-item
2016-09-25 12:13:39	ga_s2am_ard_3-2-1_50KKA_2016-09-25_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HPK_2016-10-03_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JGM_2016-11-21_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JLN_2016-12-11_final
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49JFN_2017-04-23_final.stac-item
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50HQH_2017-07-10_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JNL_2017-07-16_final
2017-10-08 11:36:06	ga_s2am_ard_3-2-1_50JQL_2017-10-08_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGM_2017-11-29_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HPG_2018-02-08_final.stac-item
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HPH_2018-02-08_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50KLU_2018-03-16_final
2018-04-02 11:48:25	ga_s2am_ard_3-2-1_50KPC_2018-04-02_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50KPB_2018-04-12_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HPK_2018-04-16_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HPJ_2018-06-25_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_50HPJ_2018-07-25_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-09-12_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50JQL_2018-10-13_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_50KKA_2018-10-15_final
2018-11-18 11:53:04	ga_s2am_ard_3-2-1_50KRC_2018-11-18_final
2018-11-18 11:56:30	ga_s2am_ard_3-2-1_50HMK_2018-11-18_final
2018-12-15 11:46:25	ga_s2am_ard_3-2-1_50HPK_2018-12-15_final
2019-01-03 12:13:34	ga_s2am_ard_3-2-1_50KKB_2019-01-03_final
2019-01-07 11:53:16	ga_s2am_ard_3-2-1_50KPC_2019-01-07_final
2019-02-16 11:56:22	ga_s2am_ard_3-2-1_50JLL_2019-02-16_final
2019-03-04 12:14:14	ga_s2am_ard_3-2-1_50KKU_2019-03-04_final
2019-05-04 11:45:50	ga_s2am_ard_3-2-1_50JQN_2019-05-04_final
2019-06-06 11:52:22	ga_s2am_ard_3-2-1_50KQG_2019-06-06_final.stac-item
2019-07-10 11:37:12	ga_s2am_ard_3-2-1_50HPH_2019-07-10_final
2019-08-05 11:56:01	ga_s2am_ard_3-2-1_50JLN_2019-08-05_final
2019-08-28 12:03:42	ga_s2am_ard_3-2-1_50KLB_2019-08-28_final
2019-08-28 12:04:29	ga_s2am_ard_3-2-1_49KHP_2019-08-28_final
2019-08-31 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2019-08-31_final
2019-09-04 11:55:56	ga_s2am_ard_3-2-1_50JLN_2019-09-04_final
2019-09-07 12:05:54	ga_s2am_ard_3-2-1_50JKN_2019-09-07_final
2019-10-27 12:05:59	ga_s2am_ard_3-2-1_50JKN_2019-10-27_final
2020-01-28 12:13:47	ga_s2am_ard_3-2-1_50KKA_2020-01-28_final
2020-03-25 12:03:19	ga_s2am_ard_3-2-1_50KMC_2020-03-25_final
2020-03-29 11:44:59	ga_s2am_ard_3-2-1_50JQR_2020-03-29_final
2020-03-29 11:46:19	ga_s2am_ard_3-2-1_50JNL_2020-03-29_final
2020-04-15 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2020-04-15_final
2020-05-14 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-05-14_final.stac-item
2020-06-04 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-06-04_final
2020-06-24 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-06-24_final.stac-item
2020-06-27 11:45:56	ga_s2am_ard_3-2-1_50JPN_2020-06-27_final
2020-10-01 12:03:29	ga_s2am_ard_3-2-1_50KMC_2020-10-01_final
2020-11-17 11:56:43	ga_s2am_ard_3-2-1_50HLK_2020-11-17_final
2020-11-27 11:54:20	ga_s2am_ard_3-2-1_50KPU_2020-11-27_final
2020-12-03 12:14:55	ga_s2am_ard_3-2-1_49JGM_2020-12-03_final
2020-12-24 11:46:29	ga_s2am_ard_3-2-1_50HQK_2020-12-24_final
2021-02-15 11:53:23	ga_s2am_ard_3-2-1_50KNC_2021-02-15_final
2021-02-18 12:06:03	ga_s2am_ard_3-2-1_50JLM_2021-02-18_final
2021-04-23 11:46:15	ga_s2am_ard_3-2-1_50JPL_2021-04-23_final
2021-06-28 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-06-28_final
2021-07-25 11:55:45	ga_s2am_ard_3-2-1_50JLP_2021-07-25_final
2021-08-04 11:52:37	ga_s2am_ard_3-2-1_50KQF_2021-08-04_final.stac-item
2021-09-17 11:36:40	ga_s2am_ard_3-2-1_50HPK_2021-09-17_final
2021-10-03 11:56:16	ga_s2am_ard_3-2-1_50JLM_2021-10-03_final
2021-10-10 11:47:29	ga_s2am_ard_3-2-1_50HMG_2021-10-10_final.stac-item
2021-11-19 11:46:08	ga_s2am_ard_3-2-1_50JNM_2021-11-19_final
2021-12-29 11:43:06	ga_s2am_ard_3-2-1_50KRD_2021-12-29_final
2021-12-29 11:46:28	ga_s2am_ard_3-2-1_50JML_2021-12-29_final
2022-01-18 11:47:21	ga_s2am_ard_3-2-1_50HNG_2022-01-18_final.stac-item
2022-02-24 11:36:29	ga_s2am_ard_3-2-1_50JPL_2022-02-24_final
2022-03-02 11:53:24	ga_s2am_ard_3-2-1_50KPC_2022-03-02_final
2022-03-05 12:05:10	ga_s2am_ard_3-2-1_49JGM_2022-03-05_final
2022-05-07 12:15:15	ga_s2am_ard_3-2-1_49JGL_2022-05-07_final
2022-05-11 11:53:28	ga_s2am_ard_3-2-1_50KNC_2022-05-11_final
2022-07-13 12:04:12	ga_s2am_ard_3-2-1_49KHR_2022-07-13_final
2022-07-27 11:43:28	ga_s2am_ard_3-2-1_50KRC_2022-07-27_final
2022-10-05 11:43:29	ga_s2am_ard_3-2-1_50KQC_2022-10-05_final.stac-item
2022-10-08 11:53:27	ga_s2am_ard_3-2-1_50KPC_2022-10-08_final.stac-item
2022-10-31 12:03:48	ga_s2am_ard_3-2-1_50KKB_2022-10-31_final.stac-item
2022-11-20 12:03:45	ga_s2am_ard_3-2-1_50KKB_2022-11-20_final.stac-item
2022-12-14 11:46:37	ga_s2am_ard_3-2-1_50HNK_2022-12-14_final.stac-item
2023-04-03 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2023-04-03_final.stac-item
2023-04-09 12:03:44	ga_s2am_ard_3-2-1_50KKB_2023-04-09_final.stac-item
2023-07-28 12:04:30	ga_s2am_ard_3-2-1_50KLU_2023-07-28_final.stac-item
2023-08-11 11:45:51	ga_s2am_ard_3-2-1_50JQN_2023-08-11_final.stac-item
2023-08-14 11:53:26	ga_s2am_ard_3-2-1_50KPC_2023-08-14_final.stac-item
2023-09-26 12:03:22	ga_s2am_ard_3-2-1_50KNC_2023-09-26_final.stac-item
2023-10-09 12:14:26	ga_s2am_ard_3-2-1_49KGP_2023-10-09_final.stac-item
2023-12-05 12:03:52	ga_s2am_ard_3-2-1_49KHR_2023-12-05_final.stac-item
2023-12-09 11:47:15	ga_s2am_ard_3-2-1_50HNG_2023-12-09_final.stac-item
2024-01-04 12:04:36	ga_s2am_ard_3-2-1_50JLT_2024-01-04_final.stac-item
2024-01-18 11:43:57	ga_s2am_ard_3-2-1_50KQV_2024-01-18_final.stac-item
2024-01-31 11:56:35	ga_s2am_ard_3-2-1_50HLK_2024-01-31_final.stac-item
2024-02-03 12:05:47	ga_s2am_ard_3-2-1_50JLN_2024-02-03_final.stac-item
2024-02-07 11:45:42	ga_s2am_ard_3-2-1_50JQN_2024-02-07_final.stac-item
2024-02-20 11:53:09	ga_s2am_ard_3-2-1_50KRC_2024-02-20_final.stac-item
2024-02-20 11:53:22	ga_s2am_ard_3-2-1_50KNC_2024-02-20_final.stac-item
2024-03-01 11:52:34	ga_s2am_ard_3-2-1_50KQF_2024-03-01_final.stac-item
2024-03-01 11:53:24	ga_s2am_ard_3-2-1_50KNC_2024-03-01_final.stac-item
2024-03-11 11:54:48	ga_s2am_ard_3-2-1_50JPS_2024-03-11_final.stac-item
2024-03-18 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2024-03-18_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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