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
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_49JGM_2015-11-27_final.stac-item
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_49KHR_2015-12-27_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JLS_2016-04-02_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JLT_2016-04-02_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HMJ_2016-04-19_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JUF_2016-05-03_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JMM_2016-05-09_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLT_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KMB_2016-05-22_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JNQ_2016-05-29_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JNL_2016-09-19_final.stac-item
2016-11-09 11:26:07	ga_s2am_ard_3-2-1_51HVE_2016-11-09_final.stac-item
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_50JPR_2017-03-25_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_50JKP_2017-09-27_final
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_49JGM_2017-12-26_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JHN_2018-04-25_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JLP_2018-05-02_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JKN_2018-05-22_final
2018-05-25 12:02:51	ga_s2am_ard_3-2-1_50KNC_2018-05-25_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50KKB_2018-06-04_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JNL_2018-06-08_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HQH_2018-07-05_final
2018-07-09 11:13:18	ga_s2am_ard_3-2-1_51HWC_2018-07-09_final.stac-item
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_50HPJ_2018-07-25_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HPK_2018-07-28_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51HUC_2018-08-04_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HNK_2018-08-07_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50JPL_2018-08-07_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HQJ_2018-08-17_final
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_51HVC_2018-09-10_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50HPJ_2018-10-23_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HMH_2018-11-05_final
2018-11-08 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2018-11-08_final
2018-11-21 12:04:56	ga_s2am_ard_3-2-1_49JGM_2018-11-21_final
2018-12-01 12:03:11	ga_s2am_ard_3-2-1_50KNC_2018-12-01_final
2018-12-05 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2018-12-05_final
2018-12-11 12:05:47	ga_s2am_ard_3-2-1_50JKN_2018-12-11_final
2019-01-07 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2019-01-07_final
2019-02-09 12:05:52	ga_s2am_ard_3-2-1_50JKN_2019-02-09_final
2019-05-20 12:05:44	ga_s2am_ard_3-2-1_50JKP_2019-05-20_final
2019-06-06 11:57:08	ga_s2am_ard_3-2-1_50HMH_2019-06-06_final
2019-06-09 12:04:02	ga_s2am_ard_3-2-1_49KHR_2019-06-09_final.stac-item
2019-06-13 11:47:05	ga_s2am_ard_3-2-1_50HPH_2019-06-13_final
2019-11-20 11:47:11	ga_s2am_ard_3-2-1_50HMH_2019-11-20_final
2019-12-13 11:57:01	ga_s2am_ard_3-2-1_50HMH_2019-12-13_final
2020-01-29 11:43:05	ga_s2am_ard_3-2-1_50KRC_2020-01-29_final
2020-02-18 11:45:08	ga_s2am_ard_3-2-1_51JTK_2020-02-18_final
2020-02-18 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-02-18_final
2020-05-28 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-05-28_final
2020-06-23 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-06-23_final
2020-07-26 12:13:45	ga_s2am_ard_3-2-1_50KKB_2020-07-26_final
2020-10-14 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-10-14_final
2020-12-04 11:44:30	ga_s2am_ard_3-2-1_51JTN_2020-12-04_final
2020-12-04 11:47:08	ga_s2am_ard_3-2-1_50HMH_2020-12-04_final
2020-12-10 12:05:52	ga_s2am_ard_3-2-1_50JKN_2020-12-10_final
2020-12-14 11:43:15	ga_s2am_ard_3-2-1_50KRC_2020-12-14_final
2021-01-16 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-01-16_final
2021-03-15 11:16:22	ga_s2am_ard_3-2-1_51HYE_2021-03-15_final
2021-03-24 11:45:45	ga_s2am_ard_3-2-1_50JQN_2021-03-24_final
2021-04-16 11:53:05	ga_s2am_ard_3-2-1_50KRC_2021-04-16_final
2021-04-27 11:26:58	ga_s2am_ard_3-2-1_51HUC_2021-04-27_final
2021-06-09 11:36:29	ga_s2am_ard_3-2-1_51HUE_2021-06-09_final
2021-06-19 11:37:01	ga_s2am_ard_3-2-1_51HTC_2021-06-19_final
2021-07-05 11:56:06	ga_s2am_ard_3-2-1_50JNM_2021-07-05_final
2021-07-25 11:56:08	ga_s2am_ard_3-2-1_50JNM_2021-07-25_final
2021-08-05 11:27:10	ga_s2am_ard_3-2-1_51HTC_2021-08-05_final
2021-08-15 11:26:57	ga_s2am_ard_3-2-1_51HWC_2021-08-15_final.stac-item
2021-09-16 12:05:53	ga_s2am_ard_3-2-1_50JLN_2021-09-16_final
2021-10-01 11:16:27	ga_s2am_ard_3-2-1_51HYE_2021-10-01_final
2021-10-23 11:53:16	ga_s2am_ard_3-2-1_50KRC_2021-10-23_final
2021-11-12 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-11-12_final
2022-01-01 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-01-01_final
2022-02-14 11:34:37	ga_s2am_ard_3-2-1_50JRT_2022-02-14_final
2022-04-01 11:53:13	ga_s2am_ard_3-2-1_50KRC_2022-04-01_final
2022-07-16 12:15:08	ga_s2am_ard_3-2-1_49JGM_2022-07-16_final
2022-07-20 11:54:59	ga_s2am_ard_3-2-1_50JPS_2022-07-20_final
2022-07-23 12:03:55	ga_s2am_ard_3-2-1_50KKB_2022-07-23_final
2022-08-02 12:03:34	ga_s2am_ard_3-2-1_50KMC_2022-08-02_final
2022-08-02 12:06:02	ga_s2am_ard_3-2-1_50JLN_2022-08-02_final
2022-09-08 11:57:20	ga_s2am_ard_3-2-1_50HLH_2022-09-08_final.stac-item
2022-11-07 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2022-11-07_final.stac-item
2022-12-01 11:34:32	ga_s2am_ard_3-2-1_51JUN_2022-12-01_final.stac-item
2022-12-24 11:44:25	ga_s2am_ard_3-2-1_51JUN_2022-12-24_final.stac-item
2022-12-27 11:57:08	ga_s2am_ard_3-2-1_50HLH_2022-12-27_final.stac-item
2023-01-20 11:37:12	ga_s2am_ard_3-2-1_50HQG_2023-01-20_final.stac-item
2023-01-23 11:44:27	ga_s2am_ard_3-2-1_51JTN_2023-01-23_final.stac-item
2023-01-23 11:47:10	ga_s2am_ard_3-2-1_50HLH_2023-01-23_final.stac-item
2023-05-16 11:53:11	ga_s2am_ard_3-2-1_50KRC_2023-05-16_final.stac-item
2023-06-21 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-06-21_final.stac-item
2023-10-03 11:56:01	ga_s2am_ard_3-2-1_50JKN_2023-10-03_final.stac-item
2023-10-10 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-10-10_final.stac-item
2023-10-29 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-10-29_final.stac-item
2023-11-06 11:36:57	ga_s2am_ard_3-2-1_51HUC_2023-11-06_final.stac-item
2023-12-26 11:36:40	ga_s2am_ard_3-2-1_51HUD_2023-12-26_final.stac-item
2024-01-04 12:03:41	ga_s2am_ard_3-2-1_50KNA_2024-01-04_final.stac-item
2024-01-04 12:05:52	ga_s2am_ard_3-2-1_50JKN_2024-01-04_final.stac-item
2024-01-24 12:03:53	ga_s2am_ard_3-2-1_49KHR_2024-01-24_final.stac-item
2024-03-11 11:55:53	ga_s2am_ard_3-2-1_50JMN_2024-03-11_final.stac-item
2024-04-30 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2024-04-30_final.stac-item
2024-05-10 11:56:02	ga_s2am_ard_3-2-1_50JKN_2024-05-10_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