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
2015-12-19 11:03:01	ga_s2am_ard_3-2-1_52KFC_2015-12-19_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49JGK_2016-01-09_final.stac-item
2016-01-11 11:13:29	ga_s2am_ard_3-2-1_52KCC_2016-01-11_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50JRT_2016-03-07_final.stac-item
2016-05-07 11:02:16	ga_s2am_ard_3-2-1_52KGC_2016-05-07_final.stac-item
2016-05-25 12:04:47	ga_s2am_ard_3-2-1_50JKS_2016-05-25_final.stac-item
2016-06-26 11:01:01	ga_s2am_ard_3-2-1_52KEC_2016-06-26_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51JYL_2016-07-09_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HMJ_2016-09-26_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50HLH_2016-10-09_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49JGL_2016-12-11_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50JQP_2016-12-22_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50KQA_2017-01-14_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51KUV_2017-01-24_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51JWM_2017-05-31_final
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_51HUC_2017-09-28_final
2017-10-06 10:53:13	ga_s2am_ard_3-2-1_52JGP_2017-10-06_final
2017-11-08 11:02:57	ga_s2am_ard_3-2-1_52JES_2017-11-08_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JWJ_2017-12-04_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KWV_2018-01-06_final
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_49JGN_2018-01-15_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51KVB_2018-02-28_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KYV_2018-05-23_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JVJ_2018-08-04_final
2018-09-11 10:47:22	ga_s2am_ard_3-2-1_52JFQ_2018-09-11_final
2018-10-20 11:16:56	ga_s2am_ard_3-2-1_51KZS_2018-10-20_final
2018-11-19 11:26:19	ga_s2am_ard_3-2-1_51HWE_2018-11-19_final
2018-12-03 11:03:33	ga_s2am_ard_3-2-1_52KGV_2018-12-03_final
2019-03-23 11:05:29	ga_s2am_ard_3-2-1_52JEN_2019-03-23_final
2019-04-08 11:24:42	ga_s2am_ard_3-2-1_51JXM_2019-04-08_final
2019-04-18 11:24:17	ga_s2am_ard_3-2-1_51KWP_2019-04-18_final
2019-04-20 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-04-20_final
2019-05-27 11:53:27	ga_s2am_ard_3-2-1_50KNC_2019-05-27_final
2019-06-06 11:56:38	ga_s2am_ard_3-2-1_50HMK_2019-06-06_final
2019-06-07 11:25:41	ga_s2am_ard_3-2-1_51JXH_2019-06-07_final
2019-10-22 11:16:40	ga_s2am_ard_3-2-1_51HYD_2019-10-22_final
2020-01-03 11:25:19	ga_s2am_ard_3-2-1_51JXJ_2020-01-03_final
2020-01-06 11:31:33	ga_s2am_ard_3-2-1_51LYD_2020-01-06_final
2020-01-09 11:43:27	ga_s2am_ard_3-2-1_50KRB_2020-01-09_final
2020-01-26 11:32:33	ga_s2am_ard_3-2-1_51KXV_2020-01-26_final
2020-02-02 11:22:58	ga_s2am_ard_3-2-1_52KBC_2020-02-02_final
2020-02-05 11:36:49	ga_s2am_ard_3-2-1_51HUC_2020-02-05_final
2020-04-25 11:35:43	ga_s2am_ard_3-2-1_51JVH_2020-04-25_final
2020-05-19 11:13:06	ga_s2am_ard_3-2-1_52KEC_2020-05-19_final
2020-06-11 11:26:42	ga_s2am_ard_3-2-1_51HXD_2020-06-11_final
2020-08-23 11:37:03	ga_s2am_ard_3-2-1_51HUC_2020-08-23_final
2020-12-11 11:32:37	ga_s2am_ard_3-2-1_51KXV_2020-12-11_final
2020-12-18 11:23:23	ga_s2am_ard_3-2-1_51KYS_2020-12-18_final
2020-12-21 11:31:52	ga_s2am_ard_3-2-1_51LYC_2020-12-21_final
2021-01-17 11:23:26	ga_s2am_ard_3-2-1_51KYS_2021-01-17_final
2021-01-27 11:22:12	ga_s2am_ard_3-2-1_51KYB_2021-01-27_final
2021-02-02 11:45:24	ga_s2am_ard_3-2-1_50JNQ_2021-02-02_final
2021-03-14 11:42:41	ga_s2am_ard_3-2-1_51KVV_2021-03-14_final
2021-03-23 12:13:38	ga_s2am_ard_3-2-1_50KKB_2021-03-23_final
2021-04-09 12:03:29	ga_s2am_ard_3-2-1_50KNB_2021-04-09_final
2021-04-09 12:04:27	ga_s2am_ard_3-2-1_49KGP_2021-04-09_final
2021-06-03 11:14:06	ga_s2am_ard_3-2-1_52KCU_2021-06-03_final
2021-08-06 10:56:03	ga_s2am_ard_3-2-1_52JFL_2021-08-06_final
2021-09-05 10:52:20	ga_s2am_ard_3-2-1_52KHF_2021-09-05_final
2021-10-10 11:43:09	ga_s2am_ard_3-2-1_50KRD_2021-10-10_final
2021-11-06 11:36:23	ga_s2am_ard_3-2-1_50JQL_2021-11-06_final
2022-01-18 11:43:33	ga_s2am_ard_3-2-1_50KRB_2022-01-18_final
2022-02-08 11:14:28	ga_s2am_ard_3-2-1_51JYN_2022-02-08_final
2022-03-21 10:45:50	ga_s2am_ard_3-2-1_52JGM_2022-03-21_final
2022-03-23 11:22:55	ga_s2am_ard_3-2-1_51KZU_2022-03-23_final
2022-03-28 12:14:14	ga_s2am_ard_3-2-1_49KGQ_2022-03-28_final
2022-03-29 11:44:19	ga_s2am_ard_3-2-1_50KRU_2022-03-29_final
2022-03-29 11:46:03	ga_s2am_ard_3-2-1_50JQM_2022-03-29_final
2022-04-05 11:34:07	ga_s2am_ard_3-2-1_51KXP_2022-04-05_final
2022-06-18 11:14:49	ga_s2am_ard_3-2-1_51JZM_2022-06-18_final
2022-06-23 12:04:46	ga_s2am_ard_3-2-1_50KKU_2022-06-23_final
2022-06-24 11:36:46	ga_s2am_ard_3-2-1_50HQK_2022-06-24_final
2022-07-01 11:25:51	ga_s2am_ard_3-2-1_51JXH_2022-07-01_final
2022-09-15 11:47:01	ga_s2am_ard_3-2-1_50HNJ_2022-09-15_final.stac-item
2022-09-19 11:24:05	ga_s2am_ard_3-2-1_51KXQ_2022-09-19_final.stac-item
2022-09-26 11:13:37	ga_s2am_ard_3-2-1_52KEA_2022-09-26_final.stac-item
2022-10-12 11:34:37	ga_s2am_ard_3-2-1_51JUN_2022-10-12_final.stac-item
2022-11-10 12:06:13	ga_s2am_ard_3-2-1_50JKM_2022-11-10_final.stac-item
2022-11-21 11:33:46	ga_s2am_ard_3-2-1_51KVR_2022-11-21_final.stac-item
2022-12-21 11:35:17	ga_s2am_ard_3-2-1_51JTK_2022-12-21_final.stac-item
2023-01-08 10:54:28	ga_s2am_ard_3-2-1_52JGS_2023-01-08_final.stac-item
2023-01-27 11:25:54	ga_s2am_ard_3-2-1_51JWG_2023-01-27_final.stac-item
2023-06-15 11:57:12	ga_s2am_ard_3-2-1_49HGC_2023-06-15_nrt.stac-item
2023-06-20 11:04:59	ga_s2am_ard_3-2-1_52JCR_2023-06-20_final.stac-item
2023-06-26 11:23:53	ga_s2am_ard_3-2-1_52KBV_2023-06-26_final.stac-item
2023-06-29 11:33:46	ga_s2am_ard_3-2-1_51KWR_2023-06-29_final.stac-item
2023-07-29 11:36:52	ga_s2am_ard_3-2-1_51HTD_2023-07-29_final.stac-item
2023-08-02 11:16:17	ga_s2am_ard_3-2-1_51JXF_2023-08-02_final.stac-item
2023-08-11 11:46:30	ga_s2am_ard_3-2-1_50JML_2023-08-11_final.stac-item
2023-10-29 12:14:16	ga_s2am_ard_3-2-1_49KFQ_2023-10-29_nrt.stac-item
2023-12-09 11:42:08	ga_s2am_ard_3-2-1_51KVB_2023-12-09_final.stac-item
2023-12-26 11:31:03	ga_s2am_ard_3-2-1_51LZF_2023-12-26_final.stac-item
2024-01-15 11:31:46	ga_s2am_ard_3-2-1_51LYC_2024-01-15_final.stac-item
2024-01-21 11:55:39	ga_s2am_ard_3-2-1_50JKP_2024-01-21_final.stac-item
2024-01-22 11:22:41	ga_s2am_ard_3-2-1_52KCD_2024-01-22_final.stac-item
2024-02-11 11:21:41	ga_s2am_ard_3-2-1_52LDH_2024-02-11_final.stac-item
2024-02-24 11:32:30	ga_s2am_ard_3-2-1_51KVA_2024-02-24_final.stac-item
2024-03-03 10:55:56	ga_s2am_ard_3-2-1_52JGL_2024-03-03_final.stac-item
2024-03-08 11:44:44	ga_s2am_ard_3-2-1_50JQS_2024-03-08_final.stac-item
2024-03-13 10:55:56	ga_s2am_ard_3-2-1_52JGL_2024-03-13_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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