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
2015-11-21 11:41:49	ga_s2am_ard_3-2-1_50KRD_2015-11-21_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGL_2016-01-06_final.stac-item
2016-01-19 12:15:17	ga_s2am_ard_3-2-1_49JGM_2016-01-19_final.stac-item
2016-04-10 11:16:26	ga_s2am_ard_3-2-1_51HXD_2016-04-10_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HNK_2016-05-29_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_51JTJ_2016-06-18_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_51HTE_2016-10-03_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HNJ_2016-10-16_final.stac-item
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49KHR_2017-04-23_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_50KMC_2017-05-10_final
2017-06-20 11:34:58	ga_s2am_ard_3-2-1_51HUD_2017-06-20_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50JNN_2017-07-03_final
2017-08-19 11:36:41	ga_s2am_ard_3-2-1_50HQG_2017-08-19_final.stac-item
2017-10-18 11:36:29	ga_s2am_ard_3-2-1_50HPH_2017-10-18_final
2017-11-24 11:26:05	ga_s2am_ard_3-2-1_51HUE_2017-11-24_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51HUE_2017-12-04_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50HQK_2017-12-17_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50KQC_2017-12-30_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51HWD_2018-02-02_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50KQC_2018-02-11_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_50HPJ_2018-02-15_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-04-08_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50KMB_2018-05-25_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-07-04_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_51HTE_2018-07-05_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HMH_2018-09-19_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HNG_2018-11-05_final.stac-item
2018-11-12 11:37:16	ga_s2am_ard_3-2-1_50HPG_2018-11-12_final.stac-item
2018-11-25 11:43:11	ga_s2am_ard_3-2-1_50KRC_2018-11-25_final
2018-12-15 11:46:25	ga_s2am_ard_3-2-1_50HPK_2018-12-15_final
2019-01-10 12:03:39	ga_s2am_ard_3-2-1_50KKB_2019-01-10_final
2019-02-16 11:53:17	ga_s2am_ard_3-2-1_50KPC_2019-02-16_final
2019-03-05 11:46:14	ga_s2am_ard_3-2-1_50JPL_2019-03-05_final
2019-03-21 12:03:31	ga_s2am_ard_3-2-1_50KNB_2019-03-21_final
2019-04-05 11:16:23	ga_s2am_ard_3-2-1_51HYE_2019-04-05_final
2019-04-24 11:43:22	ga_s2am_ard_3-2-1_50KRC_2019-04-24_final
2019-05-10 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2019-05-10_final
2019-05-20 12:06:08	ga_s2am_ard_3-2-1_50JLM_2019-05-20_final
2019-06-17 11:26:51	ga_s2am_ard_3-2-1_51HUD_2019-06-17_final
2019-07-20 11:37:08	ga_s2am_ard_3-2-1_50HQH_2019-07-20_final
2019-07-30 11:35:55	ga_s2am_ard_3-2-1_50JQN_2019-07-30_final
2019-08-18 12:04:31	ga_s2am_ard_3-2-1_49KHP_2019-08-18_final
2019-10-11 11:43:08	ga_s2am_ard_3-2-1_50KRD_2019-10-11_final
2019-10-31 11:46:11	ga_s2am_ard_3-2-1_50JNM_2019-10-31_final
2019-11-06 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-11-06_final
2019-12-09 12:13:51	ga_s2am_ard_3-2-1_49KHR_2019-12-09_final
2019-12-11 11:16:37	ga_s2am_ard_3-2-1_51HXD_2019-12-11_final
2020-01-25 12:03:37	ga_s2am_ard_3-2-1_50KKB_2020-01-25_final
2020-02-01 11:56:58	ga_s2am_ard_3-2-1_50HMH_2020-02-01_final
2020-04-22 11:26:56	ga_s2am_ard_3-2-1_51HWC_2020-04-22_final.stac-item
2020-05-08 11:46:47	ga_s2am_ard_3-2-1_50HQJ_2020-05-08_final
2020-05-15 11:36:37	ga_s2am_ard_3-2-1_51HTE_2020-05-15_final
2020-05-17 12:13:59	ga_s2am_ard_3-2-1_50KKA_2020-05-17_final
2020-05-17 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-05-17_final
2020-06-16 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-06-16_final
2020-09-05 11:47:07	ga_s2am_ard_3-2-1_50HPH_2020-09-05_final
2020-09-08 11:56:29	ga_s2am_ard_3-2-1_50JLL_2020-09-08_final
2020-09-15 11:47:14	ga_s2am_ard_3-2-1_50HMH_2020-09-15_final
2020-10-01 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-10-01_final
2020-10-12 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-10-12_final
2020-10-28 11:53:22	ga_s2am_ard_3-2-1_50KQC_2020-10-28_final
2020-11-10 12:04:35	ga_s2am_ard_3-2-1_49KGP_2020-11-10_final
2020-12-21 11:36:59	ga_s2am_ard_3-2-1_51HTC_2020-12-21_final
2021-01-13 11:46:31	ga_s2am_ard_3-2-1_50HQK_2021-01-13_final
2021-03-30 12:04:43	ga_s2am_ard_3-2-1_49JGN_2021-03-30_final
2021-04-13 11:46:03	ga_s2am_ard_3-2-1_50JNM_2021-04-13_final
2021-04-29 12:04:25	ga_s2am_ard_3-2-1_50KKU_2021-04-29_final
2021-04-30 11:36:35	ga_s2am_ard_3-2-1_50HPK_2021-04-30_final
2021-08-20 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-08-20_final
2021-09-04 11:26:39	ga_s2am_ard_3-2-1_51HWD_2021-09-04_final
2021-09-07 11:36:38	ga_s2am_ard_3-2-1_50HPK_2021-09-07_final
2021-09-16 12:04:59	ga_s2am_ard_3-2-1_50JKS_2021-09-16_final
2022-04-18 11:47:06	ga_s2am_ard_3-2-1_50HPH_2022-04-18_final
2022-04-28 11:47:29	ga_s2am_ard_3-2-1_50HMG_2022-04-28_final.stac-item
2022-05-25 11:36:55	ga_s2am_ard_3-2-1_50HQJ_2022-05-25_final
2022-05-29 11:16:30	ga_s2am_ard_3-2-1_51HYE_2022-05-29_final
2022-06-06 12:14:02	ga_s2am_ard_3-2-1_49KHR_2022-06-06_final
2022-06-17 11:44:13	ga_s2am_ard_3-2-1_50KRV_2022-06-17_final
2022-06-18 11:16:52	ga_s2am_ard_3-2-1_51HXD_2022-06-18_final
2022-06-23 12:04:47	ga_s2am_ard_3-2-1_49KGP_2022-06-23_final
2022-07-20 11:55:46	ga_s2am_ard_3-2-1_50JNP_2022-07-20_final
2022-09-25 11:45:39	ga_s2am_ard_3-2-1_50JQP_2022-09-25_final.stac-item
2022-10-24 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2022-10-24_final.stac-item
2022-11-10 12:05:44	ga_s2am_ard_3-2-1_50JKP_2022-11-10_final.stac-item
2023-05-13 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-05-13_final.stac-item
2023-06-15 11:53:15	ga_s2am_ard_3-2-1_50KRC_2023-06-15_final.stac-item
2023-06-15 11:56:44	ga_s2am_ard_3-2-1_50HLK_2023-06-15_final.stac-item
2023-07-13 11:16:49	ga_s2am_ard_3-2-1_51HYD_2023-07-13_final.stac-item
2023-08-14 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-08-14_final.stac-item
2023-10-23 11:56:27	ga_s2am_ard_3-2-1_50JML_2023-10-23_final.stac-item
2023-12-15 12:04:35	ga_s2am_ard_3-2-1_50JLT_2023-12-15_final.stac-item
2023-12-22 11:53:17	ga_s2am_ard_3-2-1_50KPC_2023-12-22_final.stac-item
2024-01-11 11:56:06	ga_s2am_ard_3-2-1_50JLM_2024-01-11_final.stac-item
2024-01-21 11:53:17	ga_s2am_ard_3-2-1_50KNC_2024-01-21_final.stac-item
2024-03-14 12:04:56	ga_s2am_ard_3-2-1_49JHM_2024-03-14_final.stac-item
2024-03-14 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2024-03-14_final.stac-item
2024-03-18 11:46:23	ga_s2am_ard_3-2-1_50JNL_2024-03-18_final.stac-item
2024-03-25 11:37:05	ga_s2am_ard_3-2-1_50HQH_2024-03-25_final.stac-item
2024-04-23 12:03:47	ga_s2am_ard_3-2-1_50KKB_2024-04-23_final.stac-item
2024-04-23 12:05:54	ga_s2am_ard_3-2-1_50JLN_2024-04-23_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

All years