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
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_49JGM_2015-12-27_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_51JZM_2016-01-11_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51HUD_2016-05-03_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51HVC_2016-05-03_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HPK_2016-05-29_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HQJ_2016-07-28_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51HUC_2016-10-30_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51HWE_2017-01-18_final
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51HWD_2017-02-17_final
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JGM_2017-05-23_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50KKB_2017-05-30_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49JGK_2017-07-12_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50KRC_2017-12-30_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JVJ_2018-01-13_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JPS_2018-02-01_final
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51HUC_2018-03-04_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_51HUD_2018-04-16_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JKN_2018-07-21_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JLP_2018-07-24_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50JNL_2018-08-17_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50JKP_2018-09-09_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51HVE_2018-10-23_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51HTC_2018-11-02_final
2018-11-28 11:53:12	ga_s2am_ard_3-2-1_50KPC_2018-11-28_final
2018-12-24 12:14:48	ga_s2am_ard_3-2-1_49JGM_2018-12-24_final
2019-01-24 11:46:30	ga_s2am_ard_3-2-1_50HPK_2019-01-24_final
2019-03-08 11:52:14	ga_s2am_ard_3-2-1_50KQG_2019-03-08_final.stac-item
2019-04-14 11:42:19	ga_s2am_ard_3-2-1_51KUB_2019-04-14_final.stac-item
2019-05-20 12:03:27	ga_s2am_ard_3-2-1_50KMC_2019-05-20_final
2019-05-27 11:52:23	ga_s2am_ard_3-2-1_50KQG_2019-05-27_final.stac-item
2019-05-31 11:37:09	ga_s2am_ard_3-2-1_50HPH_2019-05-31_final
2019-06-22 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-06-22_final
2019-06-26 11:52:24	ga_s2am_ard_3-2-1_50KQG_2019-06-26_final.stac-item
2019-07-09 12:04:10	ga_s2am_ard_3-2-1_50KKA_2019-07-09_final
2019-08-08 12:03:27	ga_s2am_ard_3-2-1_50KMC_2019-08-08_final
2019-08-18 12:04:45	ga_s2am_ard_3-2-1_49JHN_2019-08-18_final
2019-09-11 11:43:16	ga_s2am_ard_3-2-1_51KTT_2019-09-11_final
2019-09-18 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2019-09-18_final
2019-11-20 11:43:19	ga_s2am_ard_3-2-1_51KTT_2019-11-20_final
2020-01-06 11:34:31	ga_s2am_ard_3-2-1_50JRT_2020-01-06_final
2020-01-08 12:13:48	ga_s2am_ard_3-2-1_50KKA_2020-01-08_final
2020-01-25 12:05:34	ga_s2am_ard_3-2-1_50JKP_2020-01-25_final
2020-02-08 11:43:14	ga_s2am_ard_3-2-1_50KQC_2020-02-08_final
2020-03-28 12:13:50	ga_s2am_ard_3-2-1_50KKA_2020-03-28_final
2020-03-29 11:42:59	ga_s2am_ard_3-2-1_51KTU_2020-03-29_final
2020-04-01 11:52:15	ga_s2am_ard_3-2-1_50KQG_2020-04-01_final.stac-item
2020-04-22 11:25:11	ga_s2am_ard_3-2-1_51JXK_2020-04-22_final
2020-04-28 11:46:28	ga_s2am_ard_3-2-1_50JML_2020-04-28_final
2020-05-02 11:27:01	ga_s2am_ard_3-2-1_51HVC_2020-05-02_final
2020-06-20 11:53:16	ga_s2am_ard_3-2-1_50KRC_2020-06-20_final
2020-06-23 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-06-23_final.stac-item
2020-07-13 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2020-07-13_final
2020-09-05 11:43:23	ga_s2am_ard_3-2-1_50KRC_2020-09-05_final
2020-11-13 12:13:43	ga_s2am_ard_3-2-1_50KKB_2020-11-13_final
2020-12-10 12:03:56	ga_s2am_ard_3-2-1_49KHR_2020-12-10_final
2021-01-14 11:14:56	ga_s2am_ard_3-2-1_51JYL_2021-01-14_final
2021-02-28 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-02-28_final
2021-03-10 12:03:44	ga_s2am_ard_3-2-1_50KKB_2021-03-10_final
2021-04-07 11:26:34	ga_s2am_ard_3-2-1_51HWD_2021-04-07_final
2021-04-27 11:25:54	ga_s2am_ard_3-2-1_51JWG_2021-04-27_final
2021-05-16 11:53:21	ga_s2am_ard_3-2-1_50KPC_2021-05-16_final
2021-05-30 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2021-05-30_final
2021-06-02 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-06-02_final
2021-08-14 11:53:24	ga_s2am_ard_3-2-1_50KPC_2021-08-14_final
2021-08-31 11:43:19	ga_s2am_ard_3-2-1_51KTT_2021-08-31_final
2021-10-17 11:34:31	ga_s2am_ard_3-2-1_51JVN_2021-10-17_final
2021-11-15 12:05:30	ga_s2am_ard_3-2-1_49JGK_2021-11-15_final
2021-12-12 11:57:05	ga_s2am_ard_3-2-1_50HMH_2021-12-12_final
2022-03-09 11:43:07	ga_s2am_ard_3-2-1_51KTU_2022-03-09_final
2022-03-23 11:26:30	ga_s2am_ard_3-2-1_51HVE_2022-03-23_final
2022-04-05 11:36:04	ga_s2am_ard_3-2-1_51JTG_2022-04-05_final
2022-05-05 11:34:48	ga_s2am_ard_3-2-1_51JVM_2022-05-05_final
2022-07-03 12:05:54	ga_s2am_ard_3-2-1_50JKP_2022-07-03_final
2022-07-04 11:36:51	ga_s2am_ard_3-2-1_50HPK_2022-07-04_final
2022-09-02 11:36:26	ga_s2am_ard_3-2-1_51JUF_2022-09-02_final.stac-item
2022-09-02 11:36:46	ga_s2am_ard_3-2-1_50HQK_2022-09-02_final.stac-item
2022-09-05 11:43:30	ga_s2am_ard_3-2-1_51KTT_2022-09-05_final.stac-item
2022-09-29 11:25:49	ga_s2am_ard_3-2-1_51JWH_2022-09-29_final.stac-item
2022-10-08 11:52:26	ga_s2am_ard_3-2-1_50KQG_2022-10-08_final.stac-item
2022-11-30 12:03:44	ga_s2am_ard_3-2-1_50KKB_2022-11-30_final.stac-item
2022-12-01 11:36:28	ga_s2am_ard_3-2-1_51HUE_2022-12-01_final.stac-item
2022-12-17 11:55:52	ga_s2am_ard_3-2-1_50JMN_2022-12-17_final.stac-item
2023-02-09 11:36:56	ga_s2am_ard_3-2-1_51HUC_2023-02-09_final.stac-item
2023-02-11 12:13:53	ga_s2am_ard_3-2-1_49KHR_2023-02-11_final.stac-item
2023-02-22 11:46:35	ga_s2am_ard_3-2-1_50HNK_2023-02-22_final.stac-item
2023-03-20 12:04:31	ga_s2am_ard_3-2-1_50KLU_2023-03-20_final.stac-item
2023-04-02 12:13:53	ga_s2am_ard_3-2-1_50KKA_2023-04-02_final.stac-item
2023-04-26 11:56:11	ga_s2am_ard_3-2-1_50JLM_2023-04-26_final.stac-item
2023-05-23 11:43:06	ga_s2am_ard_3-2-1_51KTU_2023-05-23_final.stac-item
2023-09-11 11:15:29	ga_s2am_ard_3-2-1_51JYJ_2023-09-11_final.stac-item
2023-09-24 11:24:43	ga_s2am_ard_3-2-1_51JXM_2023-09-24_final.stac-item
2023-11-27 11:06:31	ga_s2am_ard_3-2-1_51HYD_2023-11-27_final.stac-item
2023-12-09 11:43:08	ga_s2am_ard_3-2-1_50KRC_2023-12-09_final.stac-item
2023-12-19 11:46:39	ga_s2am_ard_3-2-1_50HQJ_2023-12-19_final.stac-item
2023-12-19 11:47:20	ga_s2am_ard_3-2-1_50HMG_2023-12-19_final.stac-item
2024-03-08 11:47:07	ga_s2am_ard_3-2-1_50HNH_2024-03-08_final.stac-item
2024-04-07 11:46:36	ga_s2am_ard_3-2-1_50HNK_2024-04-07_final.stac-item
2024-04-11 11:24:41	ga_s2am_ard_3-2-1_51JXM_2024-04-11_final.stac-item
2024-04-24 11:35:21	ga_s2am_ard_3-2-1_51JTK_2024-04-24_final.stac-item
2024-04-30 11:52:22	ga_s2am_ard_3-2-1_50KQG_2024-04-30_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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