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
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_51KUV_2015-10-22_final.stac-item
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_51HYD_2016-04-27_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JFM_2016-05-18_final.stac-item
2016-05-28 12:14:47	ga_s2am_ard_3-2-1_49JGL_2016-05-28_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51HVC_2016-07-02_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JMM_2016-07-21_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KTU_2016-12-25_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KTU_2017-01-14_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50JLN_2017-03-11_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50KKB_2017-03-31_final.stac-item
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_50JLN_2017-12-16_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JXN_2018-01-13_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HMG_2018-02-28_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KUS_2018-06-05_final
2018-07-22 11:25:32	ga_s2am_ard_3-2-1_51HUC_2018-07-22_final
2019-02-09 12:05:52	ga_s2am_ard_3-2-1_50JKN_2019-02-09_final
2019-02-27 11:27:03	ga_s2am_ard_3-2-1_51HTC_2019-02-27_final
2019-05-01 11:36:50	ga_s2am_ard_3-2-1_51HTD_2019-05-01_final
2019-06-23 11:42:32	ga_s2am_ard_3-2-1_51KVA_2019-06-23_final
2019-09-04 11:52:19	ga_s2am_ard_3-2-1_50KQG_2019-09-04_final.stac-item
2019-09-10 12:13:57	ga_s2am_ard_3-2-1_49KGR_2019-09-10_final
2019-10-31 11:43:06	ga_s2am_ard_3-2-1_51KTU_2019-10-31_final
2019-12-20 11:44:25	ga_s2am_ard_3-2-1_50JRT_2019-12-20_final
2019-12-30 11:43:13	ga_s2am_ard_3-2-1_51KTT_2019-12-30_final
2020-01-06 11:36:53	ga_s2am_ard_3-2-1_51HUC_2020-01-06_final
2020-01-29 11:42:06	ga_s2am_ard_3-2-1_51KVB_2020-01-29_final
2020-02-21 11:57:00	ga_s2am_ard_3-2-1_50HMH_2020-02-21_final
2020-03-19 11:43:54	ga_s2am_ard_3-2-1_51KUQ_2020-03-19_final
2020-04-04 12:04:57	ga_s2am_ard_3-2-1_49JGM_2020-04-04_final
2020-04-18 11:43:04	ga_s2am_ard_3-2-1_50KRD_2020-04-18_final
2020-05-01 11:53:13	ga_s2am_ard_3-2-1_50KRC_2020-05-01_final
2020-05-15 11:37:06	ga_s2am_ard_3-2-1_51HTC_2020-05-15_final
2020-05-28 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-05-28_final
2020-06-17 11:42:22	ga_s2am_ard_3-2-1_51KUB_2020-06-17_final.stac-item
2020-06-17 11:42:52	ga_s2am_ard_3-2-1_51KUV_2020-06-17_final
2020-08-19 11:52:25	ga_s2am_ard_3-2-1_50KQG_2020-08-19_final.stac-item
2020-08-20 11:25:51	ga_s2am_ard_3-2-1_51JVH_2020-08-20_final
2020-09-02 11:34:07	ga_s2am_ard_3-2-1_51KUQ_2020-09-02_final
2020-10-05 11:43:24	ga_s2am_ard_3-2-1_51KTT_2020-10-05_final
2020-10-21 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-10-21_final
2020-11-10 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-11-10_final
2020-11-18 11:27:05	ga_s2am_ard_3-2-1_51HUC_2020-11-18_final
2020-12-14 11:42:25	ga_s2am_ard_3-2-1_51KVA_2020-12-14_final
2021-01-30 11:37:17	ga_s2am_ard_3-2-1_50HQG_2021-01-30_final.stac-item
2021-02-02 11:43:04	ga_s2am_ard_3-2-1_50KRD_2021-02-02_final
2021-02-06 11:24:36	ga_s2am_ard_3-2-1_51JYM_2021-02-06_final
2021-02-21 12:13:53	ga_s2am_ard_3-2-1_50KKA_2021-02-21_final
2021-04-09 12:03:40	ga_s2am_ard_3-2-1_50KKB_2021-04-09_final
2021-04-13 11:43:24	ga_s2am_ard_3-2-1_51KUS_2021-04-13_final
2021-04-23 11:46:58	ga_s2am_ard_3-2-1_50HPH_2021-04-23_final
2021-05-30 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2021-05-30_final
2021-06-29 11:33:36	ga_s2am_ard_3-2-1_51KUS_2021-06-29_final
2021-07-18 12:05:18	ga_s2am_ard_3-2-1_49JGL_2021-07-18_final
2021-07-22 11:43:21	ga_s2am_ard_3-2-1_51KTT_2021-07-22_final
2021-07-31 12:14:31	ga_s2am_ard_3-2-1_49KGP_2021-07-31_final
2021-08-01 11:43:21	ga_s2am_ard_3-2-1_51KTT_2021-08-01_final
2021-08-01 11:47:27	ga_s2am_ard_3-2-1_50HMG_2021-08-01_final.stac-item
2021-09-20 11:42:48	ga_s2am_ard_3-2-1_51KUV_2021-09-20_final
2021-09-29 12:13:58	ga_s2am_ard_3-2-1_50KKA_2021-09-29_final
2021-10-01 11:16:27	ga_s2am_ard_3-2-1_51HYE_2021-10-01_final
2021-10-27 11:33:39	ga_s2am_ard_3-2-1_51KUS_2021-10-27_final
2021-11-19 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-11-19_final
2022-01-24 12:03:44	ga_s2am_ard_3-2-1_50KKB_2022-01-24_final
2022-02-07 11:43:03	ga_s2am_ard_3-2-1_51KTU_2022-02-07_final
2022-03-03 11:24:22	ga_s2am_ard_3-2-1_51JZN_2022-03-03_final
2022-06-04 11:34:25	ga_s2am_ard_3-2-1_51KUP_2022-06-04_final
2022-07-14 11:35:43	ga_s2am_ard_3-2-1_51JUJ_2022-07-14_final
2022-08-03 11:36:44	ga_s2am_ard_3-2-1_50HQK_2022-08-03_final
2022-08-10 11:26:44	ga_s2am_ard_3-2-1_51HUE_2022-08-10_final
2022-09-15 11:46:32	ga_s2am_ard_3-2-1_50JNL_2022-09-15_final.stac-item
2022-10-25 11:46:25	ga_s2am_ard_3-2-1_50JNL_2022-10-25_final.stac-item
2022-10-29 11:26:00	ga_s2am_ard_3-2-1_51JWG_2022-10-29_final.stac-item
2022-12-18 11:24:54	ga_s2am_ard_3-2-1_51JXL_2022-12-18_final.stac-item
2023-01-20 11:34:12	ga_s2am_ard_3-2-1_51KUP_2023-01-20_final.stac-item
2023-02-12 11:42:26	ga_s2am_ard_3-2-1_51KVA_2023-02-12_final.stac-item
2023-02-26 11:26:59	ga_s2am_ard_3-2-1_51HUC_2023-02-26_final.stac-item
2023-03-14 11:42:24	ga_s2am_ard_3-2-1_51KVA_2023-03-14_final.stac-item
2023-03-25 11:14:22	ga_s2am_ard_3-2-1_51JZN_2023-03-25_final.stac-item
2023-03-28 11:24:57	ga_s2am_ard_3-2-1_51JWL_2023-03-28_final.stac-item
2023-04-06 11:53:24	ga_s2am_ard_3-2-1_50KNC_2023-04-06_final.stac-item
2023-04-13 11:46:34	ga_s2am_ard_3-2-1_50HPK_2023-04-13_final.stac-item
2023-06-29 11:37:11	ga_s2am_ard_3-2-1_50HPH_2023-06-29_final.stac-item
2023-07-05 11:53:15	ga_s2am_ard_3-2-1_50KRC_2023-07-05_final.stac-item
2023-07-22 11:42:17	ga_s2am_ard_3-2-1_51KVB_2023-07-22_final.stac-item
2023-09-06 12:05:35	ga_s2am_ard_3-2-1_49JGK_2023-09-06_final.stac-item
2023-10-20 11:42:45	ga_s2am_ard_3-2-1_51KUV_2023-10-20_final.stac-item
2023-11-15 12:03:25	ga_s2am_ard_3-2-1_50KLC_2023-11-15_final.stac-item
2023-11-29 11:46:18	ga_s2am_ard_3-2-1_50JML_2023-11-29_final.stac-item
2023-12-06 11:34:19	ga_s2am_ard_3-2-1_51JWN_2023-12-06_final.stac-item
2024-01-15 11:33:41	ga_s2am_ard_3-2-1_51KUR_2024-01-15_final.stac-item
2024-02-07 11:42:56	ga_s2am_ard_3-2-1_51KUU_2024-02-07_final.stac-item
2024-03-08 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2024-03-08_final.stac-item
2024-03-11 11:53:21	ga_s2am_ard_3-2-1_50KPC_2024-03-11_final.stac-item
2024-03-14 12:03:44	ga_s2am_ard_3-2-1_50KKB_2024-03-14_final.stac-item
2024-03-22 11:26:14	ga_s2am_ard_3-2-1_51JUF_2024-03-22_final.stac-item
2024-03-28 11:43:29	ga_s2am_ard_3-2-1_51KUS_2024-03-28_final.stac-item
2024-04-07 11:43:14	ga_s2am_ard_3-2-1_50KQC_2024-04-07_final.stac-item
2024-04-11 11:24:52	ga_s2am_ard_3-2-1_51JYL_2024-04-11_final.stac-item
2024-04-14 11:37:03	ga_s2am_ard_3-2-1_51HTC_2024-04-14_final.stac-item
2024-05-11 11:24:22	ga_s2am_ard_3-2-1_51JZN_2024-05-11_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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