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
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_51JZN_2015-10-23_final.stac-item
2015-12-19 11:03:01	ga_s2am_ard_3-2-1_52KHE_2015-12-19_final.stac-item
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_51KZP_2016-01-31_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JTF_2016-06-05_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KLA_2016-06-24_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KMU_2016-06-24_final.stac-item
2016-09-14 10:57:41	ga_s2am_ard_3-2-1_52KGU_2016-09-14_final.stac-item
2016-10-03 11:26:16	ga_s2am_ard_3-2-1_52LBK_2016-10-03_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KUT_2016-12-05_final.stac-item
2016-12-17 10:43:37	ga_s2am_ard_3-2-1_52JGL_2016-12-17_final
2017-01-05 11:12:08	ga_s2am_ard_3-2-1_52KFF_2017-01-05_final
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KDC_2017-01-15_final
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KEV_2017-01-15_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KGP_2017-01-30_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50KKU_2017-02-09_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JUF_2017-03-19_final
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_52JBN_2017-08-13_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51HUD_2017-11-14_final
2017-12-03 11:49:15	ga_s2am_ard_3-2-1_50KNB_2017-12-03_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51JTN_2017-12-30_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JNS_2018-02-01_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KZP_2018-02-02_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KUT_2018-02-18_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52JBQ_2018-02-19_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KWR_2018-04-26_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51HTE_2018-05-26_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JUK_2018-06-05_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JYL_2018-06-19_final
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52JEL_2018-08-02_final
2018-09-27 11:07:08	ga_s2am_ard_3-2-1_52LDJ_2018-09-27_final
2018-11-09 11:24:03	ga_s2am_ard_3-2-1_51KYP_2018-11-09_final
2018-11-27 10:45:39	ga_s2am_ard_3-2-1_52JGM_2018-11-27_final
2019-04-08 11:23:26	ga_s2am_ard_3-2-1_51KYS_2019-04-08_final
2019-04-11 11:31:20	ga_s2am_ard_3-2-1_52LBK_2019-04-11_final
2019-04-21 11:34:46	ga_s2am_ard_3-2-1_50JRS_2019-04-21_final
2019-05-01 11:37:06	ga_s2am_ard_3-2-1_50HQH_2019-05-01_final
2019-07-07 11:23:30	ga_s2am_ard_3-2-1_51KYS_2019-07-07_final
2019-11-20 11:44:32	ga_s2am_ard_3-2-1_50JRT_2019-11-20_final
2020-01-16 11:33:28	ga_s2am_ard_3-2-1_51KUS_2020-01-16_final
2020-03-17 11:05:45	ga_s2am_ard_3-2-1_52JDM_2020-03-17_final
2020-03-30 11:14:35	ga_s2am_ard_3-2-1_51JZM_2020-03-30_final
2020-04-05 11:33:19	ga_s2am_ard_3-2-1_51KUT_2020-04-05_final
2020-05-22 11:23:30	ga_s2am_ard_3-2-1_51KYS_2020-05-22_final
2020-05-24 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-05-24_final
2020-05-25 11:36:11	ga_s2am_ard_3-2-1_50JQM_2020-05-25_final
2020-07-14 11:36:42	ga_s2am_ard_3-2-1_50HPK_2020-07-14_final
2020-08-03 11:36:40	ga_s2am_ard_3-2-1_50HQK_2020-08-03_final
2020-09-16 11:15:43	ga_s2am_ard_3-2-1_51JYH_2020-09-16_final
2020-12-12 11:04:00	ga_s2am_ard_3-2-1_52KEU_2020-12-12_final
2020-12-12 11:04:21	ga_s2am_ard_3-2-1_52JGS_2020-12-12_final
2020-12-25 11:13:21	ga_s2am_ard_3-2-1_52KCB_2020-12-25_final
2021-01-06 11:56:14	ga_s2am_ard_3-2-1_50JKM_2021-01-06_final
2021-01-24 11:14:53	ga_s2am_ard_3-2-1_52JBR_2021-01-24_final
2021-04-27 11:26:37	ga_s2am_ard_3-2-1_51HWD_2021-04-27_final
2021-05-10 11:34:04	ga_s2am_ard_3-2-1_51KXP_2021-05-10_final
2021-05-29 12:04:32	ga_s2am_ard_3-2-1_49KGP_2021-05-29_final
2021-06-17 10:54:17	ga_s2am_ard_3-2-1_52JHT_2021-06-17_final
2021-06-22 11:42:43	ga_s2am_ard_3-2-1_51KVV_2021-06-22_final
2021-07-12 11:46:29	ga_s2am_ard_3-2-1_50JML_2021-07-12_final
2021-08-02 11:15:36	ga_s2am_ard_3-2-1_52JCN_2021-08-02_final
2021-08-12 11:16:39	ga_s2am_ard_3-2-1_51HYD_2021-08-12_final
2021-11-24 10:55:27	ga_s2am_ard_3-2-1_52JGN_2021-11-24_final
2021-11-30 11:16:40	ga_s2am_ard_3-2-1_51HXD_2021-11-30_final
2021-12-13 11:23:20	ga_s2am_ard_3-2-1_51KZS_2021-12-13_final
2022-03-26 11:35:21	ga_s2am_ard_3-2-1_51JTK_2022-03-26_final
2022-03-29 11:44:22	ga_s2am_ard_3-2-1_50KQU_2022-03-29_final
2022-04-02 11:24:21	ga_s2am_ard_3-2-1_51JZN_2022-04-02_final
2022-05-03 10:54:06	ga_s2am_ard_3-2-1_52KGU_2022-05-03_final
2022-05-28 11:44:27	ga_s2am_ard_3-2-1_50KQU_2022-05-28_final
2022-07-22 10:55:53	ga_s2am_ard_3-2-1_52JGM_2022-07-22_final
2022-08-17 11:15:52	ga_s2am_ard_3-2-1_52JBN_2022-08-17_final
2022-08-19 11:56:26	ga_s2am_ard_3-2-1_50JKM_2022-08-19_final
2022-09-06 11:13:19	ga_s2am_ard_3-2-1_52KCC_2022-09-06_final.stac-item
2022-09-12 11:37:08	ga_s2am_ard_3-2-1_51HUC_2022-09-12_final.stac-item
2022-09-16 11:13:23	ga_s2am_ard_3-2-1_52KBC_2022-09-16_final.stac-item
2022-09-26 11:13:51	ga_s2am_ard_3-2-1_52KEV_2022-09-26_final.stac-item
2022-10-02 11:35:15	ga_s2am_ard_3-2-1_51JWK_2022-10-02_final.stac-item
2022-10-23 11:05:51	ga_s2am_ard_3-2-1_52JDM_2022-10-23_final.stac-item
2022-11-09 10:52:48	ga_s2am_ard_3-2-1_52KHD_2022-11-09_final.stac-item
2022-11-12 11:06:27	ga_s2am_ard_3-2-1_52HBK_2022-11-12_final.stac-item
2022-11-17 13:31:35	ga_s2am_ard_3-2-1_47LKH_2022-11-17_interim.stac-item
2022-12-18 11:26:57	ga_s2am_ard_3-2-1_51HVC_2022-12-18_final.stac-item
2022-12-21 11:35:31	ga_s2am_ard_3-2-1_51JTJ_2022-12-21_final.stac-item
2022-12-22 11:04:45	ga_s2am_ard_3-2-1_52JER_2022-12-22_final.stac-item
2023-01-18 10:55:18	ga_s2am_ard_3-2-1_52JEP_2023-01-18_final.stac-item
2023-02-01 12:15:18	ga_s2am_ard_3-2-1_49JGK_2023-02-01_final.stac-item
2023-03-25 11:15:43	ga_s2am_ard_3-2-1_52JBM_2023-03-25_final.stac-item
2023-05-16 11:55:47	ga_s2am_ard_3-2-1_50JKP_2023-05-16_final.stac-item
2023-06-26 11:24:08	ga_s2am_ard_3-2-1_51KXP_2023-06-26_final.stac-item
2023-07-19 11:35:52	ga_s2am_ard_3-2-1_51JTH_2023-07-19_final.stac-item
2023-08-02 11:16:02	ga_s2am_ard_3-2-1_51JXG_2023-08-02_final.stac-item
2023-09-10 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2023-09-10_final.stac-item
2023-12-06 11:35:59	ga_s2am_ard_3-2-1_50JQM_2023-12-06_final.stac-item
2023-12-17 11:06:30	ga_s2am_ard_3-2-1_52HBJ_2023-12-17_final.stac-item
2024-01-23 10:52:38	ga_s2am_ard_3-2-1_52KHD_2024-01-23_final.stac-item
2024-01-26 11:04:37	ga_s2am_ard_3-2-1_52JFR_2024-01-26_final.stac-item
2024-03-09 11:11:52	ga_s2am_ard_3-2-1_52LDH_2024-03-09_final.stac-item
2024-03-19 11:16:09	ga_s2am_ard_3-2-1_51JYF_2024-03-19_final.stac-item
2024-05-01 11:26:35	ga_s2am_ard_3-2-1_51HUE_2024-05-01_final.stac-item
2024-05-13 12:06:13	ga_s2am_ard_3-2-1_50JKM_2024-05-13_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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