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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
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50KRA_2016-10-26_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_50JKT_2016-11-01_final.stac-item
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_50KRV_2016-11-15_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49KHP_2016-12-01_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JHN_2016-12-31_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JMQ_2017-01-07_final
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_50HQK_2017-05-31_final
2017-07-24 11:12:03	ga_s2am_ard_3-2-1_51HXE_2017-07-24_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KTQ_2017-11-20_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50JMQ_2017-12-23_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_51JZM_2018-03-21_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50KKU_2018-05-15_final
2018-05-30 11:13:18	ga_s2am_ard_3-2-1_51HXE_2018-05-30_final
2018-06-18 11:37:34	ga_s2am_ard_3-2-1_51KTS_2018-06-18_final
2018-08-18 11:12:58	ga_s2am_ard_3-2-1_51JYG_2018-08-18_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_51KTQ_2018-08-27_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50KPV_2018-09-19_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JMS_2018-10-09_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JNS_2018-10-19_final
2018-12-11 12:04:19	ga_s2am_ard_3-2-1_49KHP_2018-12-11_final
2019-02-10 11:32:51	ga_s2am_ard_3-2-1_51KXU_2019-02-10_final
2019-04-01 11:34:47	ga_s2am_ard_3-2-1_51JUM_2019-04-01_final
2019-04-15 11:16:10	ga_s2am_ard_3-2-1_51JYF_2019-04-15_final
2019-05-01 11:34:32	ga_s2am_ard_3-2-1_51JVN_2019-05-01_final
2019-06-23 11:44:24	ga_s2am_ard_3-2-1_50KQU_2019-06-23_final
2019-07-20 11:33:32	ga_s2am_ard_3-2-1_51KWS_2019-07-20_final
2019-07-23 11:44:07	ga_s2am_ard_3-2-1_50KRV_2019-07-23_final
2019-08-08 12:04:29	ga_s2am_ard_3-2-1_50KLU_2019-08-08_final
2019-08-19 11:33:01	ga_s2am_ard_3-2-1_51KWU_2019-08-19_final
2019-09-04 11:53:50	ga_s2am_ard_3-2-1_50KPA_2019-09-04_final
2019-10-07 12:04:45	ga_s2am_ard_3-2-1_49JHN_2019-10-07_final
2019-10-11 11:43:36	ga_s2am_ard_3-2-1_50KRB_2019-10-11_final
2019-10-17 12:04:45	ga_s2am_ard_3-2-1_49JHN_2019-10-17_final
2019-10-31 11:43:50	ga_s2am_ard_3-2-1_50KRA_2019-10-31_final
2019-10-31 11:44:05	ga_s2am_ard_3-2-1_50KRV_2019-10-31_final
2019-11-10 11:43:50	ga_s2am_ard_3-2-1_50KRA_2019-11-10_final
2019-12-07 11:34:26	ga_s2am_ard_3-2-1_51JVN_2019-12-07_final
2020-04-25 11:33:14	ga_s2am_ard_3-2-1_51KWT_2020-04-25_final
2020-05-08 11:44:06	ga_s2am_ard_3-2-1_51KTQ_2020-05-08_final
2020-06-07 11:44:22	ga_s2am_ard_3-2-1_50KRU_2020-06-07_final
2020-06-27 11:44:07	ga_s2am_ard_3-2-1_51KTQ_2020-06-27_final
2020-08-06 11:43:53	ga_s2am_ard_3-2-1_50KRA_2020-08-06_final
2020-08-16 11:43:53	ga_s2am_ard_3-2-1_50KRA_2020-08-16_final
2020-09-01 12:04:29	ga_s2am_ard_3-2-1_50KLU_2020-09-01_final
2020-09-15 11:44:20	ga_s2am_ard_3-2-1_50KRU_2020-09-15_final
2020-10-15 11:43:53	ga_s2am_ard_3-2-1_50KRA_2020-10-15_final
2020-10-19 11:24:28	ga_s2am_ard_3-2-1_51JYN_2020-10-19_final
2020-10-21 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-10-21_final
2020-11-04 11:44:21	ga_s2am_ard_3-2-1_51KTP_2020-11-04_final
2020-11-10 12:04:32	ga_s2am_ard_3-2-1_49KHP_2020-11-10_final
2020-12-17 11:54:38	ga_s2am_ard_3-2-1_50JMT_2020-12-17_final
2021-01-26 11:54:23	ga_s2am_ard_3-2-1_50KNU_2021-01-26_final
2021-01-26 11:54:52	ga_s2am_ard_3-2-1_50JNS_2021-01-26_final
2021-01-26 11:55:07	ga_s2am_ard_3-2-1_50JNR_2021-01-26_final
2021-01-26 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2021-01-26_final
2021-04-22 12:14:41	ga_s2am_ard_3-2-1_49JFN_2021-04-22_final
2021-04-27 11:23:51	ga_s2am_ard_3-2-1_51KYQ_2021-04-27_final
2021-07-03 11:14:40	ga_s2am_ard_3-2-1_51JZM_2021-07-03_final
2021-07-09 11:36:20	ga_s2am_ard_3-2-1_51JTF_2021-07-09_final
2021-07-25 11:52:52	ga_s2am_ard_3-2-1_50KQE_2021-07-25_final.stac-item
2021-07-29 11:34:50	ga_s2am_ard_3-2-1_51JUM_2021-07-29_final
2021-08-01 11:43:36	ga_s2am_ard_3-2-1_51KTS_2021-08-01_final
2021-10-20 11:47:30	ga_s2am_ard_3-2-1_50HMG_2021-10-20_final.stac-item
2021-10-27 11:33:03	ga_s2am_ard_3-2-1_51KWU_2021-10-27_final
2021-11-29 11:43:33	ga_s2am_ard_3-2-1_50KRB_2021-11-29_final
2022-01-11 11:54:53	ga_s2am_ard_3-2-1_50JNS_2022-01-11_final
2022-01-12 11:23:40	ga_s2am_ard_3-2-1_51KYR_2022-01-12_final
2022-07-01 11:26:39	ga_s2am_ard_3-2-1_51HWE_2022-07-01_final
2022-07-21 11:26:23	ga_s2am_ard_3-2-1_51JWF_2022-07-21_final
2022-09-25 11:43:39	ga_s2am_ard_3-2-1_51KTS_2022-09-25_final.stac-item
2022-10-25 11:43:36	ga_s2am_ard_3-2-1_50KRB_2022-10-25_final.stac-item
2022-10-28 11:54:44	ga_s2am_ard_3-2-1_50JMT_2022-10-28_final.stac-item
2022-11-21 11:33:28	ga_s2am_ard_3-2-1_51KWS_2022-11-21_final.stac-item
2022-12-14 11:45:21	ga_s2am_ard_3-2-1_50JPQ_2022-12-14_final.stac-item
2022-12-17 11:55:05	ga_s2am_ard_3-2-1_50JNR_2022-12-17_final.stac-item
2022-12-24 11:43:59	ga_s2am_ard_3-2-1_51KTQ_2022-12-24_final.stac-item
2022-12-25 11:16:06	ga_s2am_ard_3-2-1_51JYF_2022-12-25_final.stac-item
2023-02-26 11:24:34	ga_s2am_ard_3-2-1_51JYM_2023-02-26_final.stac-item
2023-04-22 12:13:46	ga_s2am_ard_3-2-1_49KFS_2023-04-22_nrt.stac-item
2023-05-16 11:52:06	ga_s2am_ard_3-2-1_50LQH_2023-05-16_nrt.stac-item
2023-06-22 11:43:51	ga_s2am_ard_3-2-1_51KTR_2023-06-22_final.stac-item
2023-07-31 12:14:36	ga_s2am_ard_3-2-1_49KFP_2023-07-31_nrt.stac-item
2023-08-04 11:52:07	ga_s2am_ard_3-2-1_50LRH_2023-08-04_nrt.stac-item
2023-08-07 12:01:10	ga_s2am_ard_3-2-1_50LPM_2023-08-07_nrt.stac-item
2023-08-08 11:33:17	ga_s2am_ard_3-2-1_51KWT_2023-08-08_final.stac-item
2023-08-14 11:54:10	ga_s2am_ard_3-2-1_50KPV_2023-08-14_final.stac-item
2023-09-04 11:25:33	ga_s2am_ard_3-2-1_51JWJ_2023-09-04_final.stac-item
2023-09-06 12:04:33	ga_s2am_ard_3-2-1_49KHP_2023-09-06_final.stac-item
2023-09-13 11:54:42	ga_s2am_ard_3-2-1_50JNT_2023-09-13_final.stac-item
2023-10-13 11:53:48	ga_s2am_ard_3-2-1_50KPA_2023-10-13_final.stac-item
2023-11-06 11:32:43	ga_s2am_ard_3-2-1_51KWV_2023-11-06_final.stac-item
2023-12-16 11:35:12	ga_s2am_ard_3-2-1_51JUK_2023-12-16_final.stac-item
2023-12-29 11:43:44	ga_s2am_ard_3-2-1_50KRA_2023-12-29_final.stac-item
2024-01-21 11:55:16	ga_s2am_ard_3-2-1_50JMQ_2024-01-21_final.stac-item
2024-01-25 11:32:23	ga_s2am_ard_3-2-1_51KWA_2024-01-25_final.stac-item
2024-03-15 11:35:30	ga_s2am_ard_3-2-1_51JUJ_2024-03-15_final.stac-item
2024-03-21 11:52:53	ga_s2am_ard_3-2-1_50KPE_2024-03-21_nrt.stac-item
2024-04-06 12:13:45	ga_s2am_ard_3-2-1_49KFS_2024-04-06_nrt.stac-item
2024-04-07 11:43:46	ga_s2am_ard_3-2-1_50KRA_2024-04-07_final.stac-item
2024-04-20 11:55:27	ga_s2am_ard_3-2-1_50JMQ_2024-04-20_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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