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
2015-11-14 11:47:22	ga_s2am_ard_3-2-1_50KPB_2015-11-14_final.stac-item
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_51KTR_2015-11-21_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50KNU_2016-01-03_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JMP_2016-04-02_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50LRH_2016-07-21_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50KRB_2016-08-17_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50KRB_2016-09-06_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JLT_2016-10-22_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JNR_2016-10-29_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JMS_2016-11-28_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_50KKU_2016-12-01_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50KNU_2016-12-08_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50KRV_2016-12-25_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JNR_2017-04-27_final
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50JMT_2017-05-17_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_51JYG_2017-06-14_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50JLT_2017-07-29_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50KPB_2017-08-25_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50KKU_2017-10-07_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50KKU_2017-10-17_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JML_2017-12-03_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JMQ_2018-01-12_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_51HYE_2018-03-21_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_50JKT_2018-04-15_final
2018-04-22 11:48:31	ga_s2am_ard_3-2-1_50KQE_2018-04-22_final.stac-item
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_50JQQ_2018-04-29_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50KPB_2018-05-02_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50JQQ_2018-05-09_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50KNU_2018-10-19_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KHP_2018-11-01_final
2018-12-25 11:44:09	ga_s2am_ard_3-2-1_51KTP_2018-12-25_final
2019-01-24 11:45:18	ga_s2am_ard_3-2-1_50JPQ_2019-01-24_final
2019-02-06 11:55:03	ga_s2am_ard_3-2-1_50JNR_2019-02-06_final
2019-02-27 11:24:51	ga_s2am_ard_3-2-1_51JXL_2019-02-27_final
2019-03-08 11:56:16	ga_s2am_ard_3-2-1_50JML_2019-03-08_final
2019-03-09 11:24:50	ga_s2am_ard_3-2-1_51JXL_2019-03-09_final
2019-04-25 11:15:57	ga_s2am_ard_3-2-1_51JYG_2019-04-25_final
2019-05-04 11:44:23	ga_s2am_ard_3-2-1_50KQU_2019-05-04_final
2019-05-17 11:52:23	ga_s2am_ard_3-2-1_50KQG_2019-05-17_final.stac-item
2019-06-13 11:44:19	ga_s2am_ard_3-2-1_50KRU_2019-06-13_final
2019-06-13 11:44:23	ga_s2am_ard_3-2-1_50KQU_2019-06-13_final
2019-06-23 11:44:20	ga_s2am_ard_3-2-1_50KRU_2019-06-23_final
2019-08-12 11:44:05	ga_s2am_ard_3-2-1_50KRV_2019-08-12_final
2019-09-02 11:16:08	ga_s2am_ard_3-2-1_51JYF_2019-09-02_final
2019-09-04 11:54:04	ga_s2am_ard_3-2-1_50KPV_2019-09-04_final
2019-09-04 11:54:22	ga_s2am_ard_3-2-1_50KNU_2019-09-04_final
2019-09-11 11:43:45	ga_s2am_ard_3-2-1_51KTR_2019-09-11_final
2019-10-25 11:24:29	ga_s2am_ard_3-2-1_51JXN_2019-10-25_final
2019-11-27 11:35:12	ga_s2am_ard_3-2-1_51JVK_2019-11-27_final
2019-12-03 11:55:22	ga_s2am_ard_3-2-1_50JMQ_2019-12-03_final
2019-12-20 11:44:28	ga_s2am_ard_3-2-1_50JQT_2019-12-20_final
2020-04-09 11:15:51	ga_s2am_ard_3-2-1_51JYG_2020-04-09_final
2020-04-21 11:53:07	ga_s2am_ard_3-2-1_50KPD_2020-04-21_final.stac-item
2020-04-25 11:36:16	ga_s2am_ard_3-2-1_51JUF_2020-04-25_final
2020-06-27 11:44:22	ga_s2am_ard_3-2-1_51KTP_2020-06-27_final
2020-08-29 11:54:28	ga_s2am_ard_3-2-1_50KNU_2020-08-29_final
2020-09-05 11:44:06	ga_s2am_ard_3-2-1_51KTQ_2020-09-05_final
2020-09-15 11:44:06	ga_s2am_ard_3-2-1_51KTQ_2020-09-15_final
2020-09-15 11:44:06	ga_s2am_ard_3-2-1_50KRV_2020-09-15_final
2020-10-15 11:43:53	ga_s2am_ard_3-2-1_51KTR_2020-10-15_final
2020-10-15 11:44:08	ga_s2am_ard_3-2-1_50KRV_2020-10-15_final
2020-10-18 11:53:59	ga_s2am_ard_3-2-1_50KNA_2020-10-18_final
2020-11-14 11:44:20	ga_s2am_ard_3-2-1_50KRU_2020-11-14_final
2020-12-27 11:54:40	ga_s2am_ard_3-2-1_50JMT_2020-12-27_final
2021-05-23 11:46:05	ga_s2am_ard_3-2-1_50JPM_2021-05-23_final
2021-05-29 12:04:25	ga_s2am_ard_3-2-1_50KLU_2021-05-29_final
2021-07-13 11:16:11	ga_s2am_ard_3-2-1_51JYF_2021-07-13_final
2021-07-15 11:52:52	ga_s2am_ard_3-2-1_50KQE_2021-07-15_final.stac-item
2021-09-13 11:54:05	ga_s2am_ard_3-2-1_50KPV_2021-09-13_final
2021-10-13 11:54:42	ga_s2am_ard_3-2-1_50JNT_2021-10-13_final
2021-11-02 11:53:58	ga_s2am_ard_3-2-1_50KNA_2021-11-02_final
2022-04-28 11:43:23	ga_s2am_ard_3-2-1_50KRC_2022-04-28_final
2022-05-28 11:43:55	ga_s2am_ard_3-2-1_50KRA_2022-05-28_final
2022-08-16 11:47:04	ga_s2am_ard_3-2-1_50HNJ_2022-08-16_final
2022-09-28 11:54:12	ga_s2am_ard_3-2-1_50KPV_2022-09-28_final.stac-item
2022-10-08 11:54:11	ga_s2am_ard_3-2-1_50KPV_2022-10-08_final.stac-item
2022-11-28 11:25:27	ga_s2am_ard_3-2-1_51JWJ_2022-11-28_final.stac-item
2023-01-13 11:43:59	ga_s2am_ard_3-2-1_50KRV_2023-01-13_final.stac-item
2023-01-16 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2023-01-16_final.stac-item
2023-02-09 11:35:14	ga_s2am_ard_3-2-1_51JUK_2023-02-09_final.stac-item
2023-03-04 11:44:16	ga_s2am_ard_3-2-1_50KQU_2023-03-04_final.stac-item
2023-03-17 11:55:22	ga_s2am_ard_3-2-1_50JMQ_2023-03-17_final.stac-item
2023-04-19 12:06:11	ga_s2am_ard_3-2-1_49JGG_2023-04-19_nrt.stac-item
2023-04-22 12:14:15	ga_s2am_ard_3-2-1_49KFQ_2023-04-22_nrt.stac-item
2023-05-26 11:54:08	ga_s2am_ard_3-2-1_50KPV_2023-05-26_final.stac-item
2023-06-13 11:15:58	ga_s2am_ard_3-2-1_51JYG_2023-06-13_final.stac-item
2023-08-02 11:14:43	ga_s2am_ard_3-2-1_51JZM_2023-08-02_final.stac-item
2023-09-16 12:04:32	ga_s2am_ard_3-2-1_50KKU_2023-09-16_final.stac-item
2023-09-16 12:04:46	ga_s2am_ard_3-2-1_49JHN_2023-09-16_final.stac-item
2023-09-16 12:04:46	ga_s2am_ard_3-2-1_50JKT_2023-09-16_final.stac-item
2023-09-26 12:04:45	ga_s2am_ard_3-2-1_49JHN_2023-09-26_final.stac-item
2023-12-02 11:54:43	ga_s2am_ard_3-2-1_50JNS_2023-12-02_final.stac-item
2023-12-22 11:54:19	ga_s2am_ard_3-2-1_50KNU_2023-12-22_final.stac-item
2024-01-01 11:51:44	ga_s2am_ard_3-2-1_50LRJ_2024-01-01_nrt.stac-item
2024-02-06 12:14:12	ga_s2am_ard_3-2-1_49KFQ_2024-02-06_nrt.stac-item
2024-02-20 11:54:53	ga_s2am_ard_3-2-1_50JMS_2024-02-20_final.stac-item
2024-03-04 12:04:28	ga_s2am_ard_3-2-1_50KKU_2024-03-04_final.stac-item
2024-03-21 11:51:52	ga_s2am_ard_3-2-1_50LQJ_2024-03-21_nrt.stac-item
2024-04-03 12:06:10	ga_s2am_ard_3-2-1_49JGG_2024-04-03_nrt.stac-item
2024-05-10 11:54:07	ga_s2am_ard_3-2-1_50KPV_2024-05-10_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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