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
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JGL_2016-01-16_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HNK_2016-03-03_final.stac-item
2016-09-09 11:56:06	ga_s2am_ard_3-2-1_50JLM_2016-09-09_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50JKN_2016-09-12_final.stac-item
2016-09-25 12:14:37	ga_s2am_ard_3-2-1_49JFM_2016-09-25_final.stac-item
2016-10-15 12:13:39	ga_s2am_ard_3-2-1_50KKA_2016-10-15_final.stac-item
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50KKB_2017-05-30_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49JGM_2017-06-02_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_50KKA_2017-07-12_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50KQG_2017-11-13_final.stac-item
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50JPL_2017-11-20_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-03-19_final
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_50KKA_2018-06-14_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HLH_2018-06-18_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49JGM_2018-07-27_final
2018-07-31 11:48:16	ga_s2am_ard_3-2-1_50KQG_2018-07-31_final.stac-item
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49KHR_2018-08-03_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50HQH_2018-08-04_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KKB_2018-08-23_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50JKP_2018-09-19_final
2018-11-28 11:53:09	ga_s2am_ard_3-2-1_50KQC_2018-11-28_final
2018-12-21 12:03:36	ga_s2am_ard_3-2-1_50KKB_2018-12-21_final
2019-02-13 11:47:14	ga_s2am_ard_3-2-1_50HPG_2019-02-13_final.stac-item
2019-02-26 11:52:30	ga_s2am_ard_3-2-1_50KQF_2019-02-26_final.stac-item
2019-04-23 12:13:58	ga_s2am_ard_3-2-1_49KHR_2019-04-23_final
2019-06-26 11:57:14	ga_s2am_ard_3-2-1_50HLH_2019-06-26_final
2019-06-29 12:06:00	ga_s2am_ard_3-2-1_50JKN_2019-06-29_final
2019-07-09 12:04:10	ga_s2am_ard_3-2-1_50KKA_2019-07-09_final
2019-08-05 11:53:21	ga_s2am_ard_3-2-1_50KQC_2019-08-05_final
2019-08-25 11:53:26	ga_s2am_ard_3-2-1_50KNC_2019-08-25_final
2019-10-24 11:53:14	ga_s2am_ard_3-2-1_50KRC_2019-10-24_final
2019-11-13 11:52:22	ga_s2am_ard_3-2-1_50KQG_2019-11-13_final.stac-item
2019-12-03 11:53:09	ga_s2am_ard_3-2-1_50KRC_2019-12-03_final
2020-01-09 11:46:32	ga_s2am_ard_3-2-1_50HNK_2020-01-09_final
2020-02-07 12:13:46	ga_s2am_ard_3-2-1_49KHR_2020-02-07_final
2020-03-28 12:13:50	ga_s2am_ard_3-2-1_50KKA_2020-03-28_final
2020-05-25 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-05-25_final
2020-06-23 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-06-23_final
2020-07-04 11:37:22	ga_s2am_ard_3-2-1_50HQG_2020-07-04_final.stac-item
2020-07-20 11:52:25	ga_s2am_ard_3-2-1_50KQG_2020-07-20_final.stac-item
2020-07-23 12:04:33	ga_s2am_ard_3-2-1_50KKU_2020-07-23_final
2020-10-18 11:56:28	ga_s2am_ard_3-2-1_50JML_2020-10-18_final
2020-11-01 11:36:51	ga_s2am_ard_3-2-1_51HTD_2020-11-01_final
2020-12-20 12:03:43	ga_s2am_ard_3-2-1_50KKB_2020-12-20_final
2021-01-02 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-01-02_final
2021-01-16 11:52:20	ga_s2am_ard_3-2-1_50KQG_2021-01-16_final.stac-item
2021-03-04 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-03-04_final
2021-04-13 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2021-04-13_final
2021-04-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2021-04-22_final
2021-07-22 11:45:50	ga_s2am_ard_3-2-1_50JQN_2021-07-22_final
2021-07-29 11:37:06	ga_s2am_ard_3-2-1_50HQH_2021-07-29_final
2021-07-29 11:37:16	ga_s2am_ard_3-2-1_50HPH_2021-07-29_final
2021-08-11 11:46:56	ga_s2am_ard_3-2-1_50HQH_2021-08-11_final
2021-09-13 11:52:20	ga_s2am_ard_3-2-1_50KQG_2021-09-13_final.stac-item
2021-10-23 11:53:16	ga_s2am_ard_3-2-1_50KRC_2021-10-23_final
2021-11-13 11:27:03	ga_s2am_ard_3-2-1_51HUC_2021-11-13_final
2021-12-29 11:43:17	ga_s2am_ard_3-2-1_50KRC_2021-12-29_final
2022-01-11 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2022-01-11_final
2022-01-24 12:05:55	ga_s2am_ard_3-2-1_50JKN_2022-01-24_final
2022-01-31 11:53:17	ga_s2am_ard_3-2-1_50KQC_2022-01-31_final
2022-02-20 11:55:58	ga_s2am_ard_3-2-1_50JLN_2022-02-20_final
2022-02-24 11:37:09	ga_s2am_ard_3-2-1_50HPH_2022-02-24_final
2022-03-28 12:13:57	ga_s2am_ard_3-2-1_50KKA_2022-03-28_final
2022-05-31 11:55:23	ga_s2am_ard_3-2-1_50JPQ_2022-05-31_final
2022-06-03 12:03:52	ga_s2am_ard_3-2-1_50KKB_2022-06-03_final
2022-06-03 12:04:07	ga_s2am_ard_3-2-1_50KKA_2022-06-03_final
2022-06-03 12:04:54	ga_s2am_ard_3-2-1_49JGN_2022-06-03_final
2022-06-03 12:06:03	ga_s2am_ard_3-2-1_50JKN_2022-06-03_final
2022-06-24 11:36:59	ga_s2am_ard_3-2-1_51HTD_2022-06-24_final
2022-07-03 12:05:57	ga_s2am_ard_3-2-1_49JGJ_2022-07-03_final
2022-07-23 12:05:37	ga_s2am_ard_3-2-1_50JKQ_2022-07-23_final
2022-07-27 11:46:58	ga_s2am_ard_3-2-1_50HPJ_2022-07-27_final
2022-08-03 11:36:48	ga_s2am_ard_3-2-1_50HPK_2022-08-03_final
2022-09-05 11:46:02	ga_s2am_ard_3-2-1_50JPN_2022-09-05_final.stac-item
2022-11-20 12:03:39	ga_s2am_ard_3-2-1_50KMB_2022-11-20_final.stac-item
2022-12-20 12:05:13	ga_s2am_ard_3-2-1_49JGL_2022-12-20_final.stac-item
2023-01-06 11:53:16	ga_s2am_ard_3-2-1_50KQC_2023-01-06_final.stac-item
2023-01-20 11:37:12	ga_s2am_ard_3-2-1_50HQG_2023-01-20_final.stac-item
2023-01-23 11:46:33	ga_s2am_ard_3-2-1_50HNK_2023-01-23_final.stac-item
2023-01-30 11:36:44	ga_s2am_ard_3-2-1_51HTD_2023-01-30_final.stac-item
2023-02-19 11:36:54	ga_s2am_ard_3-2-1_51HUC_2023-02-19_final.stac-item
2023-02-19 11:36:58	ga_s2am_ard_3-2-1_51HTC_2023-02-19_final.stac-item
2023-03-11 11:36:44	ga_s2am_ard_3-2-1_50HQJ_2023-03-11_final.stac-item
2023-03-20 12:03:57	ga_s2am_ard_3-2-1_49KHR_2023-03-20_final.stac-item
2023-03-21 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2023-03-21_final.stac-item
2023-04-26 11:53:10	ga_s2am_ard_3-2-1_50KRC_2023-04-26_final.stac-item
2023-06-11 12:13:43	ga_s2am_ard_3-2-1_50KKB_2023-06-11_final.stac-item
2023-06-29 11:37:25	ga_s2am_ard_3-2-1_50HPG_2023-06-29_final.stac-item
2023-09-13 11:53:15	ga_s2am_ard_3-2-1_50KRC_2023-09-13_final.stac-item
2023-10-23 11:53:11	ga_s2am_ard_3-2-1_50KRC_2023-10-23_final.stac-item
2023-11-02 11:55:50	ga_s2am_ard_3-2-1_50JKN_2023-11-02_final.stac-item
2023-11-25 12:03:39	ga_s2am_ard_3-2-1_50KKB_2023-11-25_final.stac-item
2023-11-28 12:14:20	ga_s2am_ard_3-2-1_49KGP_2023-11-28_final.stac-item
2023-12-12 11:52:19	ga_s2am_ard_3-2-1_50KQG_2023-12-12_final.stac-item
2024-01-08 11:43:00	ga_s2am_ard_3-2-1_50KRD_2024-01-08_final.stac-item
2024-01-11 11:52:14	ga_s2am_ard_3-2-1_50KQG_2024-01-11_final.stac-item
2024-02-10 11:53:07	ga_s2am_ard_3-2-1_50KRC_2024-02-10_final.stac-item
2024-03-14 12:05:41	ga_s2am_ard_3-2-1_50JKP_2024-03-14_final.stac-item
2024-04-24 11:37:08	ga_s2am_ard_3-2-1_50HPH_2024-04-24_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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