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
2015-09-19 11:36:06	ga_s2am_ard_3-2-1_51HVE_2015-09-19_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49KHR_2016-02-08_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGL_2016-03-06_final.stac-item
2016-03-29 12:13:41	ga_s2am_ard_3-2-1_50KKA_2016-03-29_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51HWD_2016-05-03_final.stac-item
2016-09-23 11:35:58	ga_s2am_ard_3-2-1_50JPL_2016-09-23_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JKP_2016-10-22_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGM_2016-11-11_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51JVJ_2016-11-22_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50KNC_2016-12-21_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50JKN_2016-12-31_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HPH_2017-01-14_final
2017-10-18 11:30:06	ga_s2am_ard_3-2-1_50JQN_2017-10-18_final
2017-11-21 11:11:58	ga_s2am_ard_3-2-1_51HYE_2017-11-21_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_51HWC_2017-12-31_final.stac-item
2018-03-14 11:21:15	ga_s2am_ard_3-2-1_51JUF_2018-03-14_final
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_51HTD_2018-03-17_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGK_2018-05-05_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGM_2018-06-14_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JFM_2018-07-17_final
2018-07-29 11:13:14	ga_s2am_ard_3-2-1_51HWC_2018-07-29_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HPG_2018-08-17_final.stac-item
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JMQ_2018-08-30_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50JLP_2018-10-02_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50KRC_2018-10-09_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50KPC_2018-10-19_final
2018-11-08 11:54:40	ga_s2am_ard_3-2-1_50JLT_2018-11-08_final
2018-12-08 11:56:05	ga_s2am_ard_3-2-1_50JKM_2018-12-08_final
2018-12-15 11:44:38	ga_s2am_ard_3-2-1_50JRS_2018-12-15_final
2019-02-26 11:56:00	ga_s2am_ard_3-2-1_50JNM_2019-02-26_final
2019-03-25 11:46:25	ga_s2am_ard_3-2-1_50JML_2019-03-25_final
2019-05-13 12:13:58	ga_s2am_ard_3-2-1_50KKA_2019-05-13_final
2019-06-09 12:05:17	ga_s2am_ard_3-2-1_49JGL_2019-06-09_final
2019-08-05 11:55:46	ga_s2am_ard_3-2-1_50JLP_2019-08-05_final
2019-09-04 11:56:30	ga_s2am_ard_3-2-1_50HNK_2019-09-04_final
2019-09-18 11:37:02	ga_s2am_ard_3-2-1_50HQH_2019-09-18_final
2019-10-31 11:46:33	ga_s2am_ard_3-2-1_50HQK_2019-10-31_final
2019-11-20 11:43:05	ga_s2am_ard_3-2-1_50KRD_2019-11-20_final
2019-12-23 11:54:02	ga_s2am_ard_3-2-1_50KNV_2019-12-23_final
2020-02-01 11:56:10	ga_s2am_ard_3-2-1_50JNL_2020-02-01_final
2020-02-22 11:26:42	ga_s2am_ard_3-2-1_51HUD_2020-02-22_final
2020-03-26 11:36:34	ga_s2am_ard_3-2-1_50HPK_2020-03-26_final
2020-04-14 12:05:07	ga_s2am_ard_3-2-1_50JLR_2020-04-14_final
2020-04-24 12:05:02	ga_s2am_ard_3-2-1_49JGM_2020-04-24_final
2020-05-02 11:26:39	ga_s2am_ard_3-2-1_51HXD_2020-05-02_final
2020-05-08 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2020-05-08_final
2020-06-26 12:14:00	ga_s2am_ard_3-2-1_50KKA_2020-06-26_final
2020-06-30 11:56:01	ga_s2am_ard_3-2-1_50JLN_2020-06-30_final
2020-10-04 12:14:00	ga_s2am_ard_3-2-1_50KKA_2020-10-04_final
2020-10-14 12:14:00	ga_s2am_ard_3-2-1_50KKA_2020-10-14_final
2020-11-08 11:26:51	ga_s2am_ard_3-2-1_51HUD_2020-11-08_final
2020-12-18 11:26:38	ga_s2am_ard_3-2-1_51HWD_2020-12-18_final
2020-12-30 12:05:51	ga_s2am_ard_3-2-1_50JLN_2020-12-30_final
2021-01-29 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-01-29_final
2021-02-21 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-02-21_final
2021-02-26 11:26:18	ga_s2am_ard_3-2-1_51JUF_2021-02-26_final
2021-04-02 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2021-04-02_final
2021-05-12 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-05-12_final
2021-06-16 11:26:59	ga_s2am_ard_3-2-1_51HVC_2021-06-16_final
2021-08-04 11:56:21	ga_s2am_ard_3-2-1_50JNL_2021-08-04_final
2021-09-06 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-09-06_final
2021-10-23 11:56:31	ga_s2am_ard_3-2-1_50JLL_2021-10-23_final
2021-10-26 12:03:46	ga_s2am_ard_3-2-1_50KLB_2021-10-26_final
2021-10-27 11:36:31	ga_s2am_ard_3-2-1_50JPL_2021-10-27_final
2022-01-11 11:53:22	ga_s2am_ard_3-2-1_50KPC_2022-01-11_final
2022-01-18 11:43:37	ga_s2am_ard_3-2-1_50KQB_2022-01-18_final
2022-02-03 12:03:59	ga_s2am_ard_3-2-1_49KHR_2022-02-03_final
2022-04-01 11:53:13	ga_s2am_ard_3-2-1_50KRC_2022-04-01_final
2022-04-04 12:03:25	ga_s2am_ard_3-2-1_50KMC_2022-04-04_final
2022-04-21 11:53:22	ga_s2am_ard_3-2-1_50KQC_2022-04-21_final
2022-05-22 11:27:05	ga_s2am_ard_3-2-1_51HVC_2022-05-22_final
2022-07-24 11:36:53	ga_s2am_ard_3-2-1_51HUD_2022-07-24_final
2022-09-16 11:16:32	ga_s2am_ard_3-2-1_51HYE_2022-09-16_final.stac-item
2022-09-25 11:46:50	ga_s2am_ard_3-2-1_50HQJ_2022-09-25_final.stac-item
2022-10-08 11:53:37	ga_s2am_ard_3-2-1_50KMC_2022-10-08_final.stac-item
2022-10-15 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2022-10-15_final.stac-item
2022-10-21 12:04:29	ga_s2am_ard_3-2-1_49KHP_2022-10-21_final.stac-item
2022-10-24 12:14:58	ga_s2am_ard_3-2-1_49JGM_2022-10-24_final.stac-item
2022-11-17 11:56:38	ga_s2am_ard_3-2-1_50HMK_2022-11-17_final.stac-item
2022-12-01 11:37:21	ga_s2am_ard_3-2-1_50HPG_2022-12-01_final.stac-item
2022-12-10 12:04:00	ga_s2am_ard_3-2-1_49KHR_2022-12-10_final.stac-item
2022-12-23 12:14:57	ga_s2am_ard_3-2-1_49JFM_2022-12-23_final.stac-item
2023-02-08 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-02-08_final.stac-item
2023-02-19 11:34:46	ga_s2am_ard_3-2-1_51JTM_2023-02-19_final.stac-item
2023-03-13 12:14:23	ga_s2am_ard_3-2-1_49KGP_2023-03-13_final.stac-item
2023-04-27 11:26:32	ga_s2am_ard_3-2-1_51HUE_2023-04-27_final.stac-item
2023-06-05 11:53:21	ga_s2am_ard_3-2-1_50KQC_2023-06-05_final.stac-item
2023-06-22 11:46:44	ga_s2am_ard_3-2-1_50HMK_2023-06-22_final.stac-item
2023-09-03 11:56:45	ga_s2am_ard_3-2-1_50HLK_2023-09-03_final.stac-item
2023-09-16 12:03:30	ga_s2am_ard_3-2-1_50KLC_2023-09-16_final.stac-item
2023-09-20 11:46:40	ga_s2am_ard_3-2-1_50HNK_2023-09-20_final.stac-item
2023-09-30 11:47:29	ga_s2am_ard_3-2-1_50HLG_2023-09-30_final.stac-item
2023-10-14 11:26:53	ga_s2am_ard_3-2-1_51HWC_2023-10-14_final.stac-item
2023-12-22 11:56:36	ga_s2am_ard_3-2-1_50HLK_2023-12-22_final.stac-item
2023-12-29 11:43:59	ga_s2am_ard_3-2-1_50KRV_2023-12-29_final.stac-item
2024-01-15 11:36:39	ga_s2am_ard_3-2-1_51HTD_2024-01-15_final.stac-item
2024-01-25 11:36:57	ga_s2am_ard_3-2-1_50HQH_2024-01-25_final.stac-item
2024-02-14 11:36:55	ga_s2am_ard_3-2-1_51HUC_2024-02-14_final.stac-item
2024-04-26 12:14:43	ga_s2am_ard_3-2-1_49JGN_2024-04-26_final.stac-item
2024-04-30 11:56:03	ga_s2am_ard_3-2-1_50JKN_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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