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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_52JBS_2015-11-25_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_50JKT_2016-01-06_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50JPQ_2016-02-19_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_51HYD_2016-03-28_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JVM_2016-04-06_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50JQL_2016-06-05_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JVM_2016-06-05_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51JYL_2016-07-09_final.stac-item
2016-11-10 10:52:15	ga_s2am_ard_3-2-1_52JGT_2016-11-10_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KVA_2016-12-25_final
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52JDT_2016-12-26_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KVS_2017-01-31_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JLR_2018-04-22_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JPR_2018-04-22_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGK_2018-04-25_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JKM_2018-05-02_final
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52JGP_2018-08-02_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JVH_2018-08-04_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HMJ_2018-11-05_final
2019-05-01 11:36:23	ga_s2am_ard_3-2-1_50JQL_2019-05-01_final
2019-05-29 10:55:34	ga_s2am_ard_3-2-1_52JFN_2019-05-29_final
2019-06-07 11:23:30	ga_s2am_ard_3-2-1_51KXS_2019-06-07_final
2019-06-26 11:56:34	ga_s2am_ard_3-2-1_50HNK_2019-06-26_final
2019-08-16 11:24:00	ga_s2am_ard_3-2-1_51KXQ_2019-08-16_final
2019-09-04 11:55:46	ga_s2am_ard_3-2-1_50JKP_2019-09-04_final
2019-11-17 11:33:18	ga_s2am_ard_3-2-1_51KVT_2019-11-17_final
2019-11-28 11:04:47	ga_s2am_ard_3-2-1_52JER_2019-11-28_final
2020-01-06 11:32:56	ga_s2am_ard_3-2-1_51KVU_2020-01-06_final
2020-02-02 11:22:59	ga_s2am_ard_3-2-1_51KZT_2020-02-02_final
2020-02-08 11:42:20	ga_s2am_ard_3-2-1_51KUA_2020-02-08_final
2020-03-01 10:45:56	ga_s2am_ard_3-2-1_52JGL_2020-03-01_final
2020-03-13 11:23:39	ga_s2am_ard_3-2-1_51KXR_2020-03-13_final
2020-04-03 10:54:38	ga_s2am_ard_3-2-1_52JFR_2020-04-03_final
2020-04-28 11:43:46	ga_s2am_ard_3-2-1_51KUR_2020-04-28_final
2020-05-04 12:06:13	ga_s2am_ard_3-2-1_50JKM_2020-05-04_final
2020-05-12 11:24:09	ga_s2am_ard_3-2-1_51KWQ_2020-05-12_final
2020-05-29 11:14:35	ga_s2am_ard_3-2-1_51JYN_2020-05-29_final
2020-08-23 11:33:29	ga_s2am_ard_3-2-1_51KXS_2020-08-23_final
2020-08-30 11:27:03	ga_s2am_ard_3-2-1_51HVC_2020-08-30_final
2020-09-24 12:14:46	ga_s2am_ard_3-2-1_49JGN_2020-09-24_final
2020-09-29 11:23:19	ga_s2am_ard_3-2-1_51KXT_2020-09-29_final
2020-11-15 11:13:55	ga_s2am_ard_3-2-1_52KCV_2020-11-15_final
2020-11-18 11:24:11	ga_s2am_ard_3-2-1_51KYP_2020-11-18_final
2020-12-08 11:23:00	ga_s2am_ard_3-2-1_52KCC_2020-12-08_final
2020-12-12 11:04:18	ga_s2am_ard_3-2-1_52JDT_2020-12-12_final
2020-12-12 11:05:19	ga_s2am_ard_3-2-1_52JCP_2020-12-12_final
2021-01-20 11:32:08	ga_s2am_ard_3-2-1_51KYB_2021-01-20_final
2021-02-02 11:43:18	ga_s2am_ard_3-2-1_50KRC_2021-02-02_final
2021-02-16 11:22:22	ga_s2am_ard_3-2-1_51KZA_2021-02-16_final
2021-02-21 12:15:19	ga_s2am_ard_3-2-1_49JGK_2021-02-21_final
2021-03-01 11:35:56	ga_s2am_ard_3-2-1_51JVG_2021-03-01_final
2021-03-04 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-03-04_final
2021-03-21 11:33:22	ga_s2am_ard_3-2-1_51KXS_2021-03-21_final
2021-05-29 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-05-29_final
2021-06-06 11:23:26	ga_s2am_ard_3-2-1_51KYS_2021-06-06_final
2021-06-08 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-06-08_final
2021-07-12 11:46:11	ga_s2am_ard_3-2-1_50JNM_2021-07-12_final
2021-08-21 11:46:40	ga_s2am_ard_3-2-1_50HNK_2021-08-21_final
2021-10-27 11:36:19	ga_s2am_ard_3-2-1_51JUF_2021-10-27_final
2021-11-06 11:37:06	ga_s2am_ard_3-2-1_50HQH_2021-11-06_final
2021-11-19 11:46:26	ga_s2am_ard_3-2-1_50JML_2021-11-19_final
2021-11-19 11:46:34	ga_s2am_ard_3-2-1_50HPK_2021-11-19_final
2021-11-23 11:24:19	ga_s2am_ard_3-2-1_51JZN_2021-11-23_final
2021-12-06 11:33:44	ga_s2am_ard_3-2-1_51KVR_2021-12-06_final
2021-12-26 11:32:52	ga_s2am_ard_3-2-1_51KYU_2021-12-26_final
2022-01-15 11:32:08	ga_s2am_ard_3-2-1_51KYB_2022-01-15_final
2022-01-16 11:04:56	ga_s2am_ard_3-2-1_52JEQ_2022-01-16_final
2022-02-01 11:24:08	ga_s2am_ard_3-2-1_51KYP_2022-02-01_final
2022-02-01 11:27:02	ga_s2am_ard_3-2-1_51HUC_2022-02-01_final
2022-02-04 11:31:35	ga_s2am_ard_3-2-1_51LZD_2022-02-04_final
2022-02-15 11:05:49	ga_s2am_ard_3-2-1_52JDM_2022-02-15_final
2022-03-03 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2022-03-03_final
2022-04-05 11:33:17	ga_s2am_ard_3-2-1_51KVT_2022-04-05_final
2022-04-29 11:14:43	ga_s2am_ard_3-2-1_52JBS_2022-04-29_final
2022-05-18 11:44:07	ga_s2am_ard_3-2-1_50KRV_2022-05-18_final
2022-05-31 11:54:12	ga_s2am_ard_3-2-1_50KPV_2022-05-31_final
2022-06-18 11:16:48	ga_s2am_ard_3-2-1_51HYD_2022-06-18_final
2022-08-13 11:37:33	ga_s2am_ard_3-2-1_50HPG_2022-08-13_final.stac-item
2022-09-25 11:47:09	ga_s2am_ard_3-2-1_50HPH_2022-09-25_final.stac-item
2022-09-29 11:24:58	ga_s2am_ard_3-2-1_51JYL_2022-09-29_final.stac-item
2022-09-29 11:25:17	ga_s2am_ard_3-2-1_51JXK_2022-09-29_final.stac-item
2022-11-22 11:04:18	ga_s2am_ard_3-2-1_52JET_2022-11-22_final.stac-item
2023-01-17 11:26:58	ga_s2am_ard_3-2-1_51HUC_2023-01-17_final.stac-item
2023-04-13 11:44:34	ga_s2am_ard_3-2-1_50JQT_2023-04-13_final.stac-item
2023-04-13 11:44:48	ga_s2am_ard_3-2-1_50JRS_2023-04-13_final.stac-item
2023-04-14 11:13:07	ga_s2am_ard_3-2-1_52KCC_2023-04-14_final.stac-item
2023-04-14 11:16:02	ga_s2am_ard_3-2-1_52JCL_2023-04-14_final.stac-item
2023-05-06 11:56:26	ga_s2am_ard_3-2-1_50JLL_2023-05-06_final.stac-item
2023-06-03 11:16:38	ga_s2am_ard_3-2-1_52HBJ_2023-06-03_nrt.stac-item
2023-06-19 11:34:18	ga_s2am_ard_3-2-1_51KVP_2023-06-19_final.stac-item
2023-06-19 11:34:47	ga_s2am_ard_3-2-1_51JVM_2023-06-19_final.stac-item
2023-06-26 11:23:28	ga_s2am_ard_3-2-1_51KYS_2023-06-26_final.stac-item
2023-08-12 11:15:44	ga_s2am_ard_3-2-1_51JYH_2023-08-12_final.stac-item
2024-02-14 11:32:53	ga_s2am_ard_3-2-1_51KYU_2024-02-14_final.stac-item
2024-03-05 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2024-03-05_final.stac-item
2024-03-08 11:44:42	ga_s2am_ard_3-2-1_50JRS_2024-03-08_final.stac-item
2024-03-15 11:31:58	ga_s2am_ard_3-2-1_51LXC_2024-03-15_final.stac-item
2024-04-10 11:54:01	ga_s2am_ard_3-2-1_50KQV_2024-04-10_final.stac-item
2024-04-11 11:24:44	ga_s2am_ard_3-2-1_52JBR_2024-04-11_final.stac-item
2024-05-04 11:37:09	ga_s2am_ard_3-2-1_50HPH_2024-05-04_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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