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
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51HVC_2015-12-25_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_51JVF_2016-05-06_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51JTJ_2016-05-29_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50KRD_2016-12-25_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KTU_2016-12-25_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_50KKU_2017-02-12_final
2017-03-12 11:27:30	ga_s2am_ard_3-2-1_51KVU_2017-03-12_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KWB_2017-05-31_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGL_2017-06-19_final
2017-06-20 11:28:36	ga_s2am_ard_3-2-1_51KUT_2017-06-20_final
2017-07-23 11:38:36	ga_s2am_ard_3-2-1_51KVV_2017-07-23_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50JQL_2017-09-21_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JML_2017-10-24_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JNT_2018-02-01_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KWP_2018-02-25_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KHR_2018-04-28_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51KVP_2018-07-15_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51KVQ_2018-07-15_final
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_51HXE_2018-09-10_final
2018-10-23 11:26:17	ga_s2am_ard_3-2-1_51KVU_2018-10-23_final
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KUS_2018-11-05_final
2018-11-22 11:35:49	ga_s2am_ard_3-2-1_51JVG_2018-11-22_final
2018-11-28 11:56:14	ga_s2am_ard_3-2-1_50JML_2018-11-28_final
2018-12-25 11:42:53	ga_s2am_ard_3-2-1_51KUU_2018-12-25_final
2019-01-04 11:46:07	ga_s2am_ard_3-2-1_50JMM_2019-01-04_final
2019-02-03 11:43:40	ga_s2am_ard_3-2-1_51KUR_2019-02-03_final
2019-03-05 11:42:51	ga_s2am_ard_3-2-1_51KVU_2019-03-05_final
2019-05-17 11:53:28	ga_s2am_ard_3-2-1_50KNC_2019-05-17_final
2019-06-03 11:43:06	ga_s2am_ard_3-2-1_50KRD_2019-06-03_final
2019-06-20 11:32:18	ga_s2am_ard_3-2-1_51KWB_2019-06-20_final
2019-08-09 11:34:14	ga_s2am_ard_3-2-1_51KWP_2019-08-09_final
2019-09-17 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2019-09-17_final
2019-12-07 11:36:29	ga_s2am_ard_3-2-1_51HTE_2019-12-07_final
2019-12-20 11:42:57	ga_s2am_ard_3-2-1_51KTU_2019-12-20_final
2020-02-08 11:43:03	ga_s2am_ard_3-2-1_51KVT_2020-02-08_final
2020-02-15 11:33:41	ga_s2am_ard_3-2-1_51KUR_2020-02-15_final
2020-03-27 11:06:33	ga_s2am_ard_3-2-1_51HYD_2020-03-27_final
2020-04-05 11:32:55	ga_s2am_ard_3-2-1_51KVU_2020-04-05_final
2020-06-14 11:34:20	ga_s2am_ard_3-2-1_51KVP_2020-06-14_final
2020-08-23 11:34:20	ga_s2am_ard_3-2-1_51KVP_2020-08-23_final
2020-09-11 12:03:48	ga_s2am_ard_3-2-1_50KKB_2020-09-11_final
2020-11-01 11:33:21	ga_s2am_ard_3-2-1_51KVT_2020-11-01_final
2020-11-11 11:34:15	ga_s2am_ard_3-2-1_51KWP_2020-11-11_final
2020-12-01 11:32:29	ga_s2am_ard_3-2-1_51KWA_2020-12-01_final
2020-12-21 11:36:56	ga_s2am_ard_3-2-1_51HUC_2020-12-21_final
2020-12-27 11:53:17	ga_s2am_ard_3-2-1_50KQC_2020-12-27_final
2021-01-23 11:42:14	ga_s2am_ard_3-2-1_51KVB_2021-01-23_final
2021-02-08 12:03:22	ga_s2am_ard_3-2-1_50KMC_2021-02-08_final
2021-02-22 11:43:43	ga_s2am_ard_3-2-1_51KUR_2021-02-22_final
2021-02-25 11:52:37	ga_s2am_ard_3-2-1_50KPF_2021-02-25_final.stac-item
2021-04-09 12:03:54	ga_s2am_ard_3-2-1_50KKA_2021-04-09_final
2021-05-30 11:33:02	ga_s2am_ard_3-2-1_51KVU_2021-05-30_final
2021-06-09 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-06-09_final
2021-06-19 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2021-06-19_final
2021-07-09 11:32:22	ga_s2am_ard_3-2-1_51KVB_2021-07-09_final
2021-08-25 11:24:17	ga_s2am_ard_3-2-1_51KWP_2021-08-25_final
2021-08-31 11:43:23	ga_s2am_ard_3-2-1_50KQC_2021-08-31_final
2021-09-04 11:26:43	ga_s2am_ard_3-2-1_51HXD_2021-09-04_final
2021-09-17 11:34:01	ga_s2am_ard_3-2-1_51KVQ_2021-09-17_final
2021-09-20 11:43:03	ga_s2am_ard_3-2-1_51KUU_2021-09-20_final
2021-10-27 11:34:15	ga_s2am_ard_3-2-1_51KWP_2021-10-27_final
2021-11-22 11:52:20	ga_s2am_ard_3-2-1_50KQG_2021-11-22_final.stac-item
2022-02-01 11:25:46	ga_s2am_ard_3-2-1_51JVH_2022-02-01_final
2022-03-09 11:43:01	ga_s2am_ard_3-2-1_51KVU_2022-03-09_final
2022-03-19 11:43:25	ga_s2am_ard_3-2-1_50KQC_2022-03-19_final
2022-04-24 12:06:15	ga_s2am_ard_3-2-1_50JKM_2022-04-24_final
2022-05-27 12:14:49	ga_s2am_ard_3-2-1_49JGN_2022-05-27_final
2022-05-28 11:42:17	ga_s2am_ard_3-2-1_51KWB_2022-05-28_final
2022-06-01 11:26:40	ga_s2am_ard_3-2-1_51HUE_2022-06-01_final
2022-07-13 12:04:46	ga_s2am_ard_3-2-1_50KKU_2022-07-13_final
2022-07-14 11:36:12	ga_s2am_ard_3-2-1_51JUG_2022-07-14_final
2022-07-18 11:14:50	ga_s2am_ard_3-2-1_51JZM_2022-07-18_final
2022-09-02 11:34:12	ga_s2am_ard_3-2-1_51KVQ_2022-09-02_final.stac-item
2022-09-21 12:05:48	ga_s2am_ard_3-2-1_50JKP_2022-09-21_final.stac-item
2022-10-05 11:42:53	ga_s2am_ard_3-2-1_51KUV_2022-10-05_final.stac-item
2022-10-11 12:05:03	ga_s2am_ard_3-2-1_50JKS_2022-10-11_final.stac-item
2022-10-12 11:37:22	ga_s2am_ard_3-2-1_50HQG_2022-10-12_final.stac-item
2022-11-01 11:33:38	ga_s2am_ard_3-2-1_51KUS_2022-11-01_final.stac-item
2022-12-01 11:36:57	ga_s2am_ard_3-2-1_51HUC_2022-12-01_final.stac-item
2023-02-12 11:42:55	ga_s2am_ard_3-2-1_51KVU_2023-02-12_final.stac-item
2023-03-24 11:42:55	ga_s2am_ard_3-2-1_51KVU_2023-03-24_final.stac-item
2023-05-23 11:42:30	ga_s2am_ard_3-2-1_51KVA_2023-05-23_final.stac-item
2023-06-05 11:56:22	ga_s2am_ard_3-2-1_50JNL_2023-06-05_final.stac-item
2023-07-02 11:43:08	ga_s2am_ard_3-2-1_51KTU_2023-07-02_final.stac-item
2023-08-14 11:52:25	ga_s2am_ard_3-2-1_50KQG_2023-08-14_final.stac-item
2023-09-17 11:34:18	ga_s2am_ard_3-2-1_51KVP_2023-09-17_final.stac-item
2023-11-13 11:25:56	ga_s2am_ard_3-2-1_51JWG_2023-11-13_final.stac-item
2023-11-19 11:43:55	ga_s2am_ard_3-2-1_51KUQ_2023-11-19_final.stac-item
2023-12-09 11:42:58	ga_s2am_ard_3-2-1_51KTU_2023-12-09_final.stac-item
2023-12-16 11:33:18	ga_s2am_ard_3-2-1_51KUT_2023-12-16_final.stac-item
2024-01-08 11:42:56	ga_s2am_ard_3-2-1_51KUU_2024-01-08_final.stac-item
2024-01-08 11:43:09	ga_s2am_ard_3-2-1_50KRC_2024-01-08_final.stac-item
2024-01-21 11:53:03	ga_s2am_ard_3-2-1_50KRC_2024-01-21_final.stac-item
2024-02-27 11:42:56	ga_s2am_ard_3-2-1_51KVU_2024-02-27_final.stac-item
2024-04-04 11:33:42	ga_s2am_ard_3-2-1_51KVR_2024-04-04_final.stac-item
2024-04-17 11:42:45	ga_s2am_ard_3-2-1_51KVV_2024-04-17_final.stac-item
2024-04-27 11:42:48	ga_s2am_ard_3-2-1_51KUV_2024-04-27_final.stac-item
2024-05-04 11:36:46	ga_s2am_ard_3-2-1_51HUD_2024-05-04_final.stac-item
2024-05-18 11:16:32	ga_s2am_ard_3-2-1_51HWE_2024-05-18_final.stac-item
2024-05-31 11:25:45	ga_s2am_ard_3-2-1_51JWH_2024-05-31_nrt.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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