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
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HPJ_2016-04-19_final.stac-item
2016-04-25 12:05:14	ga_s2am_ard_3-2-1_50JLQ_2016-04-25_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51JTG_2016-08-24_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HPG_2016-09-26_final.stac-item
2016-10-19 11:56:02	ga_s2am_ard_3-2-1_50HLK_2016-10-19_final.stac-item
2017-02-26 11:49:14	ga_s2am_ard_3-2-1_50KQF_2017-02-26_final.stac-item
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_49JGM_2017-03-21_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HNK_2017-05-04_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50JKT_2017-05-30_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50JNL_2017-07-03_final
2017-08-31 12:14:41	ga_s2am_ard_3-2-1_49JFM_2017-08-31_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_50KKB_2017-12-16_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50KRU_2017-12-30_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_51HUC_2018-01-26_final
2018-02-07 12:13:40	ga_s2am_ard_3-2-1_50KKA_2018-02-07_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-03-19_final
2018-03-23 11:48:13	ga_s2am_ard_3-2-1_50KQG_2018-03-23_final.stac-item
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_50HPK_2018-03-27_final
2018-04-22 11:48:31	ga_s2am_ard_3-2-1_50KQD_2018-04-22_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HLH_2018-06-18_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_51HTC_2018-07-05_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2018-08-23_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50KNC_2018-10-09_final
2018-11-11 12:03:18	ga_s2am_ard_3-2-1_50KMC_2018-11-11_final
2018-11-28 11:53:09	ga_s2am_ard_3-2-1_50KQC_2018-11-28_final
2018-12-09 11:25:01	ga_s2am_ard_3-2-1_51JXK_2018-12-09_final
2018-12-15 11:46:17	ga_s2am_ard_3-2-1_50JML_2018-12-15_final
2019-01-07 11:53:05	ga_s2am_ard_3-2-1_50KRC_2019-01-07_final
2019-01-07 11:56:09	ga_s2am_ard_3-2-1_50JKM_2019-01-07_final
2019-03-18 11:53:14	ga_s2am_ard_3-2-1_50KQC_2019-03-18_final
2019-04-17 11:52:37	ga_s2am_ard_3-2-1_50KQF_2019-04-17_final.stac-item
2019-05-31 11:36:45	ga_s2am_ard_3-2-1_51HUD_2019-05-31_final
2019-06-12 12:13:57	ga_s2am_ard_3-2-1_50KKA_2019-06-12_final
2019-07-10 11:37:06	ga_s2am_ard_3-2-1_51HTC_2019-07-10_final
2019-09-20 12:15:00	ga_s2am_ard_3-2-1_49JFM_2019-09-20_final
2020-02-18 11:46:02	ga_s2am_ard_3-2-1_50JNM_2020-02-18_final
2020-02-28 11:46:08	ga_s2am_ard_3-2-1_50JMM_2020-02-28_final
2020-03-19 11:43:00	ga_s2am_ard_3-2-1_50KRD_2020-03-19_final
2020-04-21 11:56:15	ga_s2am_ard_3-2-1_50JKM_2020-04-21_final
2020-04-24 12:03:21	ga_s2am_ard_3-2-1_50KNC_2020-04-24_final
2020-05-18 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-05-18_final
2020-06-20 11:56:20	ga_s2am_ard_3-2-1_50JKM_2020-06-20_final
2020-07-13 12:03:49	ga_s2am_ard_3-2-1_50KKB_2020-07-13_final
2020-08-10 11:26:53	ga_s2am_ard_3-2-1_51HUD_2020-08-10_final
2020-09-22 11:36:51	ga_s2am_ard_3-2-1_51HTD_2020-09-22_final
2020-10-22 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2020-10-22_final
2020-11-01 11:36:51	ga_s2am_ard_3-2-1_51HTD_2020-11-01_final
2021-01-04 11:16:44	ga_s2am_ard_3-2-1_51HWD_2021-01-04_final
2021-03-04 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-03-04_final
2021-03-10 12:04:42	ga_s2am_ard_3-2-1_49JHN_2021-03-10_final
2021-03-20 12:03:58	ga_s2am_ard_3-2-1_50KKA_2021-03-20_final
2021-04-03 11:46:09	ga_s2am_ard_3-2-1_50JMM_2021-04-03_final
2021-04-13 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2021-04-13_final
2021-04-30 11:36:49	ga_s2am_ard_3-2-1_50HPJ_2021-04-30_final
2021-05-03 11:46:46	ga_s2am_ard_3-2-1_50HPJ_2021-05-03_final
2021-05-17 11:25:38	ga_s2am_ard_3-2-1_51JXH_2021-05-17_final
2021-05-26 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-05-26_final
2021-06-02 11:46:31	ga_s2am_ard_3-2-1_50HQK_2021-06-02_final
2021-06-06 11:25:43	ga_s2am_ard_3-2-1_51JWH_2021-06-06_final
2021-06-15 11:56:22	ga_s2am_ard_3-2-1_50JML_2021-06-15_final
2021-06-28 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-06-28_final
2021-06-29 11:37:04	ga_s2am_ard_3-2-1_50HQH_2021-06-29_final
2021-07-09 11:37:00	ga_s2am_ard_3-2-1_51HUC_2021-07-09_final
2021-07-09 11:37:04	ga_s2am_ard_3-2-1_51HTC_2021-07-09_final
2021-07-11 12:13:57	ga_s2am_ard_3-2-1_50KKA_2021-07-11_final
2021-07-12 11:45:32	ga_s2am_ard_3-2-1_51JTJ_2021-07-12_final
2021-10-09 12:13:59	ga_s2am_ard_3-2-1_50KKA_2021-10-09_final
2022-01-12 11:27:03	ga_s2am_ard_3-2-1_51HUC_2022-01-12_final
2022-04-01 11:52:22	ga_s2am_ard_3-2-1_50KQG_2022-04-01_final.stac-item
2022-04-27 12:14:32	ga_s2am_ard_3-2-1_49KGP_2022-04-27_final
2022-05-28 11:43:12	ga_s2am_ard_3-2-1_50KRD_2022-05-28_final
2022-06-23 12:04:45	ga_s2am_ard_3-2-1_50KLU_2022-06-23_final
2022-06-23 12:06:07	ga_s2am_ard_3-2-1_50JKN_2022-06-23_final
2022-06-30 11:52:47	ga_s2am_ard_3-2-1_50KQF_2022-06-30_final.stac-item
2022-07-10 11:53:23	ga_s2am_ard_3-2-1_50KRC_2022-07-10_final
2022-08-02 12:06:06	ga_s2am_ard_3-2-1_50JKN_2022-08-02_final
2022-08-29 11:52:32	ga_s2am_ard_3-2-1_50KQG_2022-08-29_final.stac-item
2022-11-07 11:53:14	ga_s2am_ard_3-2-1_50KRC_2022-11-07_final.stac-item
2022-12-08 11:25:57	ga_s2am_ard_3-2-1_51JWG_2022-12-08_final.stac-item
2023-01-26 11:55:07	ga_s2am_ard_3-2-1_50JMR_2023-01-26_final.stac-item
2023-01-30 11:36:44	ga_s2am_ard_3-2-1_51HTD_2023-01-30_final.stac-item
2023-02-15 11:53:18	ga_s2am_ard_3-2-1_50KPC_2023-02-15_final.stac-item
2023-02-19 11:35:53	ga_s2am_ard_3-2-1_51JVG_2023-02-19_final.stac-item
2023-02-28 12:03:42	ga_s2am_ard_3-2-1_50KKB_2023-02-28_final.stac-item
2023-03-17 11:57:10	ga_s2am_ard_3-2-1_50HKH_2023-03-17_nrt.stac-item
2023-04-09 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2023-04-09_final.stac-item
2023-04-13 11:44:31	ga_s2am_ard_3-2-1_51JTN_2023-04-13_final.stac-item
2023-04-22 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2023-04-22_final.stac-item
2023-05-20 11:36:53	ga_s2am_ard_3-2-1_51HUC_2023-05-20_final.stac-item
2023-06-06 11:27:05	ga_s2am_ard_3-2-1_51HUC_2023-06-06_final.stac-item
2023-06-26 11:26:43	ga_s2am_ard_3-2-1_51HWD_2023-06-26_final.stac-item
2023-07-06 11:27:07	ga_s2am_ard_3-2-1_51HUC_2023-07-06_final.stac-item
2023-09-13 11:56:09	ga_s2am_ard_3-2-1_50JNM_2023-09-13_final.stac-item
2023-09-14 11:26:37	ga_s2am_ard_3-2-1_51HUE_2023-09-14_final.stac-item
2023-10-13 11:55:49	ga_s2am_ard_3-2-1_50JKP_2023-10-13_final.stac-item
2023-11-05 12:03:22	ga_s2am_ard_3-2-1_50KMC_2023-11-05_final.stac-item
2023-11-13 11:25:09	ga_s2am_ard_3-2-1_51JXK_2023-11-13_final.stac-item
2023-12-05 12:03:37	ga_s2am_ard_3-2-1_50KKB_2023-12-05_final.stac-item
2024-03-12 11:25:57	ga_s2am_ard_3-2-1_51JWG_2024-03-12_final.stac-item
2024-04-20 11:56:43	ga_s2am_ard_3-2-1_50HLK_2024-04-20_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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