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
2015-11-20 12:14:39	ga_s2am_ard_3-2-1_49JGN_2015-11-20_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HMJ_2016-04-19_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50KRD_2016-04-29_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLM_2016-05-22_final.stac-item
2016-09-02 12:03:47	ga_s2am_ard_3-2-1_49KHR_2016-09-02_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JGM_2016-09-02_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KHR_2017-01-30_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_50HPH_2017-04-21_final
2017-07-04 11:12:00	ga_s2am_ard_3-2-1_51HWD_2017-07-04_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51HWC_2017-12-04_final.stac-item
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_51KTT_2018-06-18_final
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_51KUS_2018-06-18_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49JGJ_2018-07-04_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_51HUD_2018-07-05_final
2018-07-12 11:25:39	ga_s2am_ard_3-2-1_51HUD_2018-07-12_final
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51JYL_2018-08-31_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JLP_2018-10-12_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HPK_2018-10-13_final
2018-11-12 11:36:38	ga_s2am_ard_3-2-1_51HUD_2018-11-12_final
2018-11-19 11:26:08	ga_s2am_ard_3-2-1_51JVF_2018-11-19_final
2018-11-22 11:33:19	ga_s2am_ard_3-2-1_51KUS_2018-11-22_final
2018-12-02 11:36:34	ga_s2am_ard_3-2-1_51HUD_2018-12-02_final
2019-01-17 11:52:16	ga_s2am_ard_3-2-1_50KQG_2019-01-17_final.stac-item
2019-03-05 11:42:58	ga_s2am_ard_3-2-1_51KTU_2019-03-05_final
2019-04-01 11:35:51	ga_s2am_ard_3-2-1_50JQN_2019-04-01_final
2019-04-17 11:57:08	ga_s2am_ard_3-2-1_50HMH_2019-04-17_final
2019-04-24 11:43:21	ga_s2am_ard_3-2-1_51KTT_2019-04-24_final
2019-06-09 12:05:58	ga_s2am_ard_3-2-1_50JKN_2019-06-09_final
2019-07-23 11:46:39	ga_s2am_ard_3-2-1_50HPK_2019-07-23_final
2019-08-02 11:44:03	ga_s2am_ard_3-2-1_51KUQ_2019-08-02_final
2019-09-21 11:43:44	ga_s2am_ard_3-2-1_51KUR_2019-09-21_final
2019-10-29 11:06:40	ga_s2am_ard_3-2-1_51HYD_2019-10-29_final
2019-12-04 11:26:56	ga_s2am_ard_3-2-1_51HVC_2019-12-04_final
2020-03-06 11:34:25	ga_s2am_ard_3-2-1_51JVN_2020-03-06_final
2020-04-25 11:36:54	ga_s2am_ard_3-2-1_50HPJ_2020-04-25_final
2020-05-28 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-05-28_final
2020-06-10 11:57:12	ga_s2am_ard_3-2-1_50HMH_2020-06-10_final
2020-07-23 12:04:33	ga_s2am_ard_3-2-1_50KKU_2020-07-23_final
2020-08-12 12:03:26	ga_s2am_ard_3-2-1_50KNC_2020-08-12_final
2020-09-08 11:52:24	ga_s2am_ard_3-2-1_50KQG_2020-09-08_final.stac-item
2021-01-30 11:36:34	ga_s2am_ard_3-2-1_51HVD_2021-01-30_final
2021-02-01 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-02-01_final
2021-02-06 11:24:22	ga_s2am_ard_3-2-1_51JYN_2021-02-06_final
2021-02-08 12:05:14	ga_s2am_ard_3-2-1_49JGL_2021-02-08_final
2021-02-16 11:27:01	ga_s2am_ard_3-2-1_51HUC_2021-02-16_final
2021-02-21 12:14:20	ga_s2am_ard_3-2-1_49KHP_2021-02-21_final
2021-03-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2021-03-20_final
2021-04-09 12:05:51	ga_s2am_ard_3-2-1_50JKN_2021-04-09_final
2021-04-13 11:45:09	ga_s2am_ard_3-2-1_51JTK_2021-04-13_final
2021-05-27 11:25:14	ga_s2am_ard_3-2-1_51JWK_2021-05-27_final
2021-06-22 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-06-22_final
2021-07-08 12:05:18	ga_s2am_ard_3-2-1_49JGL_2021-07-08_final
2021-07-09 11:34:06	ga_s2am_ard_3-2-1_51KUQ_2021-07-09_final
2021-07-18 12:03:23	ga_s2am_ard_3-2-1_50KNC_2021-07-18_final
2021-07-22 11:44:01	ga_s2am_ard_3-2-1_51KUQ_2021-07-22_final
2021-07-31 12:15:03	ga_s2am_ard_3-2-1_49JFM_2021-07-31_final
2021-08-07 12:04:34	ga_s2am_ard_3-2-1_49KGP_2021-08-07_final
2021-08-21 11:43:46	ga_s2am_ard_3-2-1_51KUR_2021-08-21_final
2021-10-03 11:53:15	ga_s2am_ard_3-2-1_50KRC_2021-10-03_final
2021-10-17 11:34:42	ga_s2am_ard_3-2-1_51JTN_2021-10-17_final
2021-11-22 11:56:26	ga_s2am_ard_3-2-1_50JLL_2021-11-22_final
2021-12-02 11:53:24	ga_s2am_ard_3-2-1_50KNC_2021-12-02_final
2021-12-09 11:43:17	ga_s2am_ard_3-2-1_51KTT_2021-12-09_final
2021-12-26 11:36:44	ga_s2am_ard_3-2-1_51HUD_2021-12-26_final
2022-02-01 11:26:47	ga_s2am_ard_3-2-1_51HUD_2022-02-01_final
2022-02-07 11:43:17	ga_s2am_ard_3-2-1_51KTT_2022-02-07_final
2022-03-12 11:52:24	ga_s2am_ard_3-2-1_50KQG_2022-03-12_final.stac-item
2022-04-04 12:04:00	ga_s2am_ard_3-2-1_50KKA_2022-04-04_final
2022-04-14 12:04:02	ga_s2am_ard_3-2-1_49KHR_2022-04-14_final
2022-05-14 12:03:48	ga_s2am_ard_3-2-1_50KKB_2022-05-14_final
2022-05-15 11:34:07	ga_s2am_ard_3-2-1_51KUQ_2022-05-15_final
2022-05-17 12:15:25	ga_s2am_ard_3-2-1_49JGK_2022-05-17_final
2022-06-24 11:34:15	ga_s2am_ard_3-2-1_51KUQ_2022-06-24_final
2022-07-01 11:25:59	ga_s2am_ard_3-2-1_51JVH_2022-07-01_final
2022-07-20 11:55:03	ga_s2am_ard_3-2-1_50JNS_2022-07-20_final
2022-08-03 11:36:44	ga_s2am_ard_3-2-1_50HQK_2022-08-03_final
2022-09-01 12:03:56	ga_s2am_ard_3-2-1_50KKB_2022-09-01_final.stac-item
2022-09-08 11:53:28	ga_s2am_ard_3-2-1_50KQC_2022-09-08_final.stac-item
2022-09-09 11:25:58	ga_s2am_ard_3-2-1_51JVH_2022-09-09_final.stac-item
2022-10-12 11:33:53	ga_s2am_ard_3-2-1_51KUR_2022-10-12_final.stac-item
2022-11-24 11:43:43	ga_s2am_ard_3-2-1_51KUR_2022-11-24_final.stac-item
2023-01-13 11:43:01	ga_s2am_ard_3-2-1_51KTU_2023-01-13_final.stac-item
2023-01-27 11:24:24	ga_s2am_ard_3-2-1_51JXN_2023-01-27_final.stac-item
2023-02-01 12:14:54	ga_s2am_ard_3-2-1_49JGM_2023-02-01_final.stac-item
2023-02-02 11:43:17	ga_s2am_ard_3-2-1_50KRC_2023-02-02_final.stac-item
2023-02-02 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-02-02_final.stac-item
2023-03-04 11:43:00	ga_s2am_ard_3-2-1_51KTU_2023-03-04_final.stac-item
2023-03-25 11:14:22	ga_s2am_ard_3-2-1_51JZN_2023-03-25_final.stac-item
2023-04-09 12:04:34	ga_s2am_ard_3-2-1_50KKU_2023-04-09_final.stac-item
2023-04-19 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2023-04-19_final.stac-item
2023-04-29 12:03:44	ga_s2am_ard_3-2-1_50KKB_2023-04-29_final.stac-item
2023-05-23 11:43:21	ga_s2am_ard_3-2-1_50KRC_2023-05-23_final.stac-item
2023-09-04 11:27:07	ga_s2am_ard_3-2-1_51HUC_2023-09-04_final.stac-item
2023-09-10 11:46:28	ga_s2am_ard_3-2-1_50JNL_2023-09-10_final.stac-item
2023-11-25 12:05:10	ga_s2am_ard_3-2-1_49JGL_2023-11-25_final.stac-item
2023-12-09 11:43:08	ga_s2am_ard_3-2-1_51KTT_2023-12-09_final.stac-item
2023-12-20 11:16:37	ga_s2am_ard_3-2-1_51HXD_2023-12-20_final.stac-item
2023-12-29 11:46:31	ga_s2am_ard_3-2-1_50HPK_2023-12-29_final.stac-item
2024-02-23 12:03:57	ga_s2am_ard_3-2-1_49KHR_2024-02-23_final.stac-item
2024-04-11 11:26:59	ga_s2am_ard_3-2-1_51HVC_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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