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
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51HUC_2015-12-25_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50KQA_2016-01-20_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JNL_2016-04-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JMM_2016-05-29_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51HUC_2016-07-22_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JNL_2016-07-28_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_50JPL_2016-09-13_final.stac-item
2016-09-25 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-09-25_final.stac-item
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50KRC_2017-02-16_final
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50KQG_2017-05-17_final.stac-item
2017-05-21 11:36:06	ga_s2am_ard_3-2-1_50JPL_2017-05-21_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_50KKB_2017-09-27_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JTH_2017-09-28_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50KNC_2017-10-04_final
2017-10-28 11:36:03	ga_s2am_ard_3-2-1_51HUE_2017-10-28_final
2017-11-24 11:26:05	ga_s2am_ard_3-2-1_51HUE_2017-11-24_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50JNS_2018-02-11_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHS_2018-03-09_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JKM_2018-03-13_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HQJ_2018-04-16_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JNM_2018-06-08_final
2018-06-11 11:48:18	ga_s2am_ard_3-2-1_50KQC_2018-06-11_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51JXG_2018-06-12_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HQG_2018-06-15_final.stac-item
2018-06-24 12:02:49	ga_s2am_ard_3-2-1_50KLB_2018-06-24_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49JHM_2018-07-04_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_51HTE_2018-07-05_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-07-07_final
2018-07-22 11:25:32	ga_s2am_ard_3-2-1_51JVG_2018-07-22_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JHN_2018-08-23_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50JPL_2018-09-06_final
2018-09-07 11:13:22	ga_s2am_ard_3-2-1_51HWC_2018-09-07_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HNJ_2018-10-26_final
2018-11-08 11:57:19	ga_s2am_ard_3-2-1_50HLG_2018-11-08_final.stac-item
2018-12-02 11:37:12	ga_s2am_ard_3-2-1_50HPG_2018-12-02_final.stac-item
2018-12-21 12:03:51	ga_s2am_ard_3-2-1_49KHR_2018-12-21_final
2019-01-30 12:03:41	ga_s2am_ard_3-2-1_50KKB_2019-01-30_final
2019-03-15 11:43:00	ga_s2am_ard_3-2-1_50KRD_2019-03-15_final
2019-03-28 11:53:20	ga_s2am_ard_3-2-1_50KPC_2019-03-28_final
2019-04-30 12:05:59	ga_s2am_ard_3-2-1_50JKN_2019-04-30_final
2019-05-08 11:26:51	ga_s2am_ard_3-2-1_51HUD_2019-05-08_final
2019-05-20 12:05:44	ga_s2am_ard_3-2-1_50JKP_2019-05-20_final
2019-06-17 11:27:05	ga_s2am_ard_3-2-1_51HUC_2019-06-17_final
2019-09-11 11:46:39	ga_s2am_ard_3-2-1_50HMK_2019-09-11_final
2019-10-02 11:17:00	ga_s2am_ard_3-2-1_51HWC_2019-10-02_final.stac-item
2019-10-14 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2019-10-14_final
2019-12-03 11:53:09	ga_s2am_ard_3-2-1_50KRC_2019-12-03_final
2019-12-21 11:15:04	ga_s2am_ard_3-2-1_51JYK_2019-12-21_final
2019-12-31 11:16:31	ga_s2am_ard_3-2-1_51HYD_2019-12-31_final
2020-01-23 11:26:46	ga_s2am_ard_3-2-1_51HVC_2020-01-23_final
2020-01-29 11:47:10	ga_s2am_ard_3-2-1_50HPG_2020-01-29_final.stac-item
2020-02-08 11:45:13	ga_s2am_ard_3-2-1_50JPQ_2020-02-08_final
2020-03-18 12:15:07	ga_s2am_ard_3-2-1_49JGL_2020-03-18_final
2020-05-09 11:17:03	ga_s2am_ard_3-2-1_51HWC_2020-05-09_final.stac-item
2020-06-14 11:36:32	ga_s2am_ard_3-2-1_50JPL_2020-06-14_final
2020-06-27 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-06-27_final
2020-08-06 11:46:32	ga_s2am_ard_3-2-1_50JML_2020-08-06_final
2020-08-12 12:05:43	ga_s2am_ard_3-2-1_50JLP_2020-08-12_final
2020-10-29 11:27:00	ga_s2am_ard_3-2-1_51HWC_2020-10-29_final.stac-item
2021-01-10 11:37:18	ga_s2am_ard_3-2-1_50HQG_2021-01-10_final.stac-item
2021-03-04 11:43:18	ga_s2am_ard_3-2-1_50KRC_2021-03-04_final
2021-03-20 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-03-20_final
2021-04-10 11:35:25	ga_s2am_ard_3-2-1_51JUJ_2021-04-10_final
2021-04-14 11:14:50	ga_s2am_ard_3-2-1_51JYL_2021-04-14_final
2021-05-09 12:04:41	ga_s2am_ard_3-2-1_49JHN_2021-05-09_final
2021-06-18 12:03:44	ga_s2am_ard_3-2-1_50KKB_2021-06-18_final
2021-06-22 11:43:23	ga_s2am_ard_3-2-1_50KQC_2021-06-22_final
2021-06-22 11:44:46	ga_s2am_ard_3-2-1_50JRS_2021-06-22_final
2021-07-09 11:36:46	ga_s2am_ard_3-2-1_51HUD_2021-07-09_final
2021-07-19 11:37:10	ga_s2am_ard_3-2-1_50HPH_2021-07-19_final
2021-07-22 11:45:15	ga_s2am_ard_3-2-1_50JNR_2021-07-22_final
2021-07-25 11:56:21	ga_s2am_ard_3-2-1_50JNL_2021-07-25_final
2021-07-28 12:03:23	ga_s2am_ard_3-2-1_50KNC_2021-07-28_final
2021-09-10 11:45:46	ga_s2am_ard_3-2-1_50JQN_2021-09-10_final
2021-09-13 11:52:20	ga_s2am_ard_3-2-1_50KQG_2021-09-13_final.stac-item
2021-10-19 12:15:01	ga_s2am_ard_3-2-1_49JGM_2021-10-19_final
2021-10-26 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2021-10-26_final
2022-01-08 11:47:26	ga_s2am_ard_3-2-1_50HMG_2022-01-08_final.stac-item
2022-06-07 11:43:12	ga_s2am_ard_3-2-1_50KRD_2022-06-07_final
2022-06-14 11:37:08	ga_s2am_ard_3-2-1_51HUC_2022-06-14_final
2022-06-17 11:43:15	ga_s2am_ard_3-2-1_50KRD_2022-06-17_final
2022-06-17 11:46:49	ga_s2am_ard_3-2-1_50HNK_2022-06-17_final
2022-07-20 11:54:59	ga_s2am_ard_3-2-1_50JPS_2022-07-20_final
2022-08-03 11:36:42	ga_s2am_ard_3-2-1_51HTE_2022-08-03_final
2023-01-20 11:36:52	ga_s2am_ard_3-2-1_51HUC_2023-01-20_final.stac-item
2023-01-29 12:03:42	ga_s2am_ard_3-2-1_50KKB_2023-01-29_final.stac-item
2023-03-08 11:26:57	ga_s2am_ard_3-2-1_51HUC_2023-03-08_final.stac-item
2023-03-30 12:03:57	ga_s2am_ard_3-2-1_49KHR_2023-03-30_final.stac-item
2023-04-03 11:47:16	ga_s2am_ard_3-2-1_50HPG_2023-04-03_final.stac-item
2023-04-04 11:15:10	ga_s2am_ard_3-2-1_51JYK_2023-04-04_final.stac-item
2023-05-16 11:56:09	ga_s2am_ard_3-2-1_50JMM_2023-05-16_final.stac-item
2023-08-22 11:17:05	ga_s2am_ard_3-2-1_51HWC_2023-08-22_final.stac-item
2023-09-09 12:14:32	ga_s2am_ard_3-2-1_49KGP_2023-09-09_final.stac-item
2023-10-13 11:55:49	ga_s2am_ard_3-2-1_50JKP_2023-10-13_final.stac-item
2023-10-26 12:03:44	ga_s2am_ard_3-2-1_50KKB_2023-10-26_final.stac-item
2023-10-26 12:05:41	ga_s2am_ard_3-2-1_50JKP_2023-10-26_final.stac-item
2023-11-06 11:36:26	ga_s2am_ard_3-2-1_50JPL_2023-11-06_final.stac-item
2023-11-15 12:05:13	ga_s2am_ard_3-2-1_49JGL_2023-11-15_final.stac-item
2023-11-29 11:47:02	ga_s2am_ard_3-2-1_50HMH_2023-11-29_final.stac-item
2024-03-02 11:24:32	ga_s2am_ard_3-2-1_51JZM_2024-03-02_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