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
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49JGM_2015-10-21_final.stac-item
2016-01-19 12:13:57	ga_s2am_ard_3-2-1_50KKA_2016-01-19_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51KXQ_2016-04-06_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JKN_2016-05-15_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_50KKA_2016-05-18_final.stac-item
2016-05-26 11:36:09	ga_s2am_ard_3-2-1_51HUE_2016-05-26_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51KUU_2016-05-29_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JNL_2016-07-28_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49JGN_2016-11-24_final.stac-item
2017-04-14 11:38:34	ga_s2am_ard_3-2-1_50KQC_2017-04-14_final.stac-item
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51HUC_2017-04-28_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JKT_2017-07-09_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_51KVV_2017-09-01_final
2018-01-25 12:02:44	ga_s2am_ard_3-2-1_50KMA_2018-01-25_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-04-08_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_51JTG_2018-05-19_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50KKU_2018-07-24_final
2018-08-05 10:57:16	ga_s2am_ard_3-2-1_52JDS_2018-08-05_final
2018-08-21 11:21:36	ga_s2am_ard_3-2-1_51KYR_2018-08-21_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50JPL_2018-09-06_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50JQP_2018-09-26_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_51KWB_2018-10-06_final
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_51KUT_2018-11-05_final
2018-11-22 11:33:18	ga_s2am_ard_3-2-1_51KUT_2018-11-22_final
2018-12-09 11:25:16	ga_s2am_ard_3-2-1_51JXJ_2018-12-09_final
2019-01-31 11:32:04	ga_s2am_ard_3-2-1_51KYB_2019-01-31_final
2019-02-10 11:33:56	ga_s2am_ard_3-2-1_51KVQ_2019-02-10_final
2019-05-20 12:03:48	ga_s2am_ard_3-2-1_50KKB_2019-05-20_final
2019-05-31 11:37:03	ga_s2am_ard_3-2-1_51HTC_2019-05-31_final
2019-07-07 11:25:33	ga_s2am_ard_3-2-1_51JWJ_2019-07-07_final
2019-08-16 11:26:50	ga_s2am_ard_3-2-1_51HUD_2019-08-16_final
2019-09-18 11:32:36	ga_s2am_ard_3-2-1_51KYV_2019-09-18_final
2019-09-20 12:13:54	ga_s2am_ard_3-2-1_50KKA_2019-09-20_final
2019-09-21 11:42:42	ga_s2am_ard_3-2-1_51KVV_2019-09-21_final
2019-10-08 11:36:45	ga_s2am_ard_3-2-1_51HUD_2019-10-08_final
2019-12-17 11:33:17	ga_s2am_ard_3-2-1_51KUT_2019-12-17_final
2020-01-09 11:45:55	ga_s2am_ard_3-2-1_50JQM_2020-01-09_final
2020-01-12 11:53:59	ga_s2am_ard_3-2-1_50KPV_2020-01-12_final
2020-03-13 11:22:48	ga_s2am_ard_3-2-1_51KZU_2020-03-13_final
2020-03-13 11:24:19	ga_s2am_ard_3-2-1_51JYN_2020-03-13_final
2020-04-12 11:24:03	ga_s2am_ard_3-2-1_51KWQ_2020-04-12_final
2020-04-28 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2020-04-28_final
2020-05-05 11:31:42	ga_s2am_ard_3-2-1_51LYD_2020-05-05_final
2020-08-16 11:46:11	ga_s2am_ard_3-2-1_50JPM_2020-08-16_final
2020-09-11 12:05:44	ga_s2am_ard_3-2-1_50JKP_2020-09-11_final
2020-09-15 11:42:00	ga_s2am_ard_3-2-1_51LWC_2020-09-15_final
2020-09-26 11:16:42	ga_s2am_ard_3-2-1_51HYD_2020-09-26_final
2020-10-15 11:42:41	ga_s2am_ard_3-2-1_51KVV_2020-10-15_final
2020-12-18 11:27:05	ga_s2am_ard_3-2-1_51HTC_2020-12-18_final
2021-01-03 11:42:13	ga_s2am_ard_3-2-1_51KVB_2021-01-03_final
2021-01-10 11:36:35	ga_s2am_ard_3-2-1_50HQK_2021-01-10_final
2021-02-19 11:36:46	ga_s2am_ard_3-2-1_51HTD_2021-02-19_final
2021-03-10 12:03:58	ga_s2am_ard_3-2-1_50KKA_2021-03-10_final
2021-05-07 11:22:36	ga_s2am_ard_3-2-1_51KZV_2021-05-07_final
2021-05-13 11:42:56	ga_s2am_ard_3-2-1_51KVU_2021-05-13_final
2021-06-29 11:34:17	ga_s2am_ard_3-2-1_51JXN_2021-06-29_final
2021-07-26 11:25:16	ga_s2am_ard_3-2-1_51JWK_2021-07-26_final
2021-08-02 11:16:44	ga_s2am_ard_3-2-1_51HXD_2021-08-02_final
2021-08-04 11:55:56	ga_s2am_ard_3-2-1_50JMN_2021-08-04_final
2021-08-17 12:06:07	ga_s2am_ard_3-2-1_50JLM_2021-08-17_final
2021-08-20 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-08-20_final
2021-10-06 12:04:36	ga_s2am_ard_3-2-1_49KGP_2021-10-06_final
2022-02-04 11:33:02	ga_s2am_ard_3-2-1_51KYT_2022-02-04_final
2022-03-06 11:34:00	ga_s2am_ard_3-2-1_51KWQ_2022-03-06_final
2022-04-15 11:34:14	ga_s2am_ard_3-2-1_51KWP_2022-04-15_final
2022-05-15 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2022-05-15_final
2022-06-14 11:34:28	ga_s2am_ard_3-2-1_51KUP_2022-06-14_final
2022-06-21 11:24:23	ga_s2am_ard_3-2-1_51KXP_2022-06-21_final
2022-07-20 11:54:59	ga_s2am_ard_3-2-1_50JPS_2022-07-20_final
2022-08-06 11:44:27	ga_s2am_ard_3-2-1_50KRU_2022-08-06_final
2022-10-02 11:32:58	ga_s2am_ard_3-2-1_51KYU_2022-10-02_final.stac-item
2022-10-12 11:34:19	ga_s2am_ard_3-2-1_51KVP_2022-10-12_final.stac-item
2022-11-15 11:17:01	ga_s2am_ard_3-2-1_51HWC_2022-11-15_final.stac-item
2022-12-05 11:14:22	ga_s2am_ard_3-2-1_52JBT_2022-12-05_final.stac-item
2023-01-24 11:13:37	ga_s2am_ard_3-2-1_51KZR_2023-01-24_final.stac-item
2023-03-21 11:32:27	ga_s2am_ard_3-2-1_51KWA_2023-03-21_final.stac-item
2023-04-11 11:05:37	ga_s2am_ard_3-2-1_52JCN_2023-04-11_final.stac-item
2023-04-26 11:55:42	ga_s2am_ard_3-2-1_50JLP_2023-04-26_final.stac-item
2023-05-14 11:15:33	ga_s2am_ard_3-2-1_52JCN_2023-05-14_final.stac-item
2023-06-03 11:14:27	ga_s2am_ard_3-2-1_51JZN_2023-06-03_final.stac-item
2023-06-06 11:24:30	ga_s2am_ard_3-2-1_51JXN_2023-06-06_final.stac-item
2023-06-29 11:37:05	ga_s2am_ard_3-2-1_51HTC_2023-06-29_final.stac-item
2023-07-10 11:04:56	ga_s2am_ard_3-2-1_52JDR_2023-07-10_final.stac-item
2023-07-29 11:32:52	ga_s2am_ard_3-2-1_51KVV_2023-07-29_final.stac-item
2023-09-07 11:33:53	ga_s2am_ard_3-2-1_51KUR_2023-09-07_final.stac-item
2023-09-14 11:22:57	ga_s2am_ard_3-2-1_51KZU_2023-09-14_final.stac-item
2023-10-17 11:34:10	ga_s2am_ard_3-2-1_51KWP_2023-10-17_final.stac-item
2023-10-27 11:32:29	ga_s2am_ard_3-2-1_51KWA_2023-10-27_final.stac-item
2023-10-27 11:32:47	ga_s2am_ard_3-2-1_51KVV_2023-10-27_final.stac-item
2023-12-19 11:43:31	ga_s2am_ard_3-2-1_51KUS_2023-12-19_final.stac-item
2024-01-09 11:16:18	ga_s2am_ard_3-2-1_51HYE_2024-01-09_final.stac-item
2024-01-25 11:34:04	ga_s2am_ard_3-2-1_51KWP_2024-01-25_final.stac-item
2024-02-11 11:23:46	ga_s2am_ard_3-2-1_51KZQ_2024-02-11_final.stac-item
2024-02-21 11:24:06	ga_s2am_ard_3-2-1_51KYP_2024-02-21_final.stac-item
2024-02-26 12:14:18	ga_s2am_ard_3-2-1_49KGP_2024-02-26_final.stac-item
2024-03-12 11:24:23	ga_s2am_ard_3-2-1_51JYN_2024-03-12_final.stac-item
2024-03-17 12:13:54	ga_s2am_ard_3-2-1_50KKA_2024-03-17_final.stac-item
2024-03-22 11:26:59	ga_s2am_ard_3-2-1_51HVC_2024-03-22_final.stac-item
2024-04-04 11:32:41	ga_s2am_ard_3-2-1_51KWV_2024-04-04_final.stac-item
2024-04-08 11:16:01	ga_s2am_ard_3-2-1_52JCL_2024-04-08_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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