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
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51HUE_2016-05-23_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50KQG_2016-08-10_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HNJ_2016-10-26_final.stac-item
2017-04-11 11:36:02	ga_s2am_ard_3-2-1_50JPL_2017-04-11_final
2017-04-13 12:13:43	ga_s2am_ard_3-2-1_49KHQ_2017-04-13_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50KLB_2017-07-09_final
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_49JGL_2017-08-28_final
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49JGL_2017-09-10_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51HUE_2017-10-05_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JGN_2017-10-07_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50KKA_2017-10-07_final
2018-02-05 11:35:59	ga_s2am_ard_3-2-1_51JTG_2018-02-05_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JGL_2018-03-09_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HMG_2018-03-20_final.stac-item
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51HVE_2018-04-23_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50JPM_2018-04-29_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50KKB_2018-05-05_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50KPU_2018-05-19_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50JNN_2018-05-19_final
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_50KPV_2018-05-29_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50JPM_2018-05-29_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51JUF_2018-06-12_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGM_2018-06-24_final
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_50KRD_2018-06-28_final
2018-06-29 11:07:13	ga_s2am_ard_3-2-1_51HWC_2018-06-29_final.stac-item
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50JPS_2018-07-08_final
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50JPT_2018-07-08_final
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50KPU_2018-07-08_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JPS_2018-07-11_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JPS_2018-08-20_final
2018-08-21 11:21:36	ga_s2am_ard_3-2-1_51HUE_2018-08-21_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JKT_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JLT_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KLV_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KMC_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KMU_2018-08-23_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JNN_2018-08-27_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JPR_2018-08-27_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HMG_2018-08-27_final.stac-item
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50KLU_2018-08-30_final
2018-09-17 11:13:02	ga_s2am_ard_3-2-1_51HWC_2018-09-17_final.stac-item
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50JNR_2018-09-26_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-10-05_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_50JPM_2018-10-06_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JGM_2018-10-12_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HPG_2018-10-16_final.stac-item
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50JNN_2018-10-16_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JNM_2018-10-26_final
2018-11-12 11:36:21	ga_s2am_ard_3-2-1_50JPL_2018-11-12_final
2018-11-15 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2018-11-15_final
2018-12-21 12:04:13	ga_s2am_ard_3-2-1_50KMU_2018-12-21_final
2018-12-21 12:04:31	ga_s2am_ard_3-2-1_50JLT_2018-12-21_final
2018-12-28 11:54:26	ga_s2am_ard_3-2-1_50KLU_2018-12-28_final
2019-01-04 11:44:32	ga_s2am_ard_3-2-1_50JPT_2019-01-04_final
2019-01-04 11:46:46	ga_s2am_ard_3-2-1_50HMJ_2019-01-04_final
2019-01-07 11:55:37	ga_s2am_ard_3-2-1_50JLP_2019-01-07_final
2019-01-07 11:57:01	ga_s2am_ard_3-2-1_50HMH_2019-01-07_final
2019-02-16 11:52:16	ga_s2am_ard_3-2-1_50KQG_2019-02-16_final.stac-item
2019-07-23 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2019-07-23_final
2019-08-18 12:03:47	ga_s2am_ard_3-2-1_49KHS_2019-08-18_final.stac-item
2019-11-17 11:37:31	ga_s2am_ard_3-2-1_50HNG_2019-11-17_final.stac-item
2020-03-19 11:47:06	ga_s2am_ard_3-2-1_50HMH_2020-03-19_final
2020-04-21 11:53:11	ga_s2am_ard_3-2-1_50KRC_2020-04-21_final
2020-04-25 11:36:45	ga_s2am_ard_3-2-1_51HUD_2020-04-25_final
2020-05-08 11:43:08	ga_s2am_ard_3-2-1_50KRD_2020-05-08_final
2020-10-15 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-10-15_final
2020-11-14 11:47:30	ga_s2am_ard_3-2-1_50HLG_2020-11-14_final.stac-item
2020-12-01 11:37:06	ga_s2am_ard_3-2-1_50HPH_2020-12-01_final
2021-01-03 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-01-03_final
2021-04-03 11:46:34	ga_s2am_ard_3-2-1_50HNK_2021-04-03_final
2021-04-06 11:55:52	ga_s2am_ard_3-2-1_50JLN_2021-04-06_final
2021-04-23 11:46:01	ga_s2am_ard_3-2-1_50JPM_2021-04-23_final
2021-04-29 12:04:04	ga_s2am_ard_3-2-1_50KMV_2021-04-29_final
2021-04-29 12:04:22	ga_s2am_ard_3-2-1_50KLU_2021-04-29_final
2021-04-29 12:06:01	ga_s2am_ard_3-2-1_50JLM_2021-04-29_final
2021-05-10 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-05-10_final
2021-05-20 11:36:34	ga_s2am_ard_3-2-1_51HVD_2021-05-20_final
2021-05-23 11:46:20	ga_s2am_ard_3-2-1_50JPL_2021-05-23_final
2021-05-29 12:03:24	ga_s2am_ard_3-2-1_50KMC_2021-05-29_final
2021-06-01 12:14:21	ga_s2am_ard_3-2-1_50KKU_2021-06-01_final
2021-06-18 12:05:38	ga_s2am_ard_3-2-1_50JLP_2021-06-18_final
2021-06-18 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-06-18_final
2021-06-21 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-21_final
2021-07-05 11:56:02	ga_s2am_ard_3-2-1_50JKN_2021-07-05_final
2021-07-08 12:05:18	ga_s2am_ard_3-2-1_49JGL_2021-07-08_final
2021-07-12 11:44:41	ga_s2am_ard_3-2-1_50JPT_2021-07-12_final
2021-07-22 11:47:20	ga_s2am_ard_3-2-1_50HPG_2021-07-22_final.stac-item
2021-08-01 11:47:24	ga_s2am_ard_3-2-1_50HNG_2021-08-01_final.stac-item
2021-08-17 12:04:01	ga_s2am_ard_3-2-1_50KKA_2021-08-17_final
2021-08-17 12:04:13	ga_s2am_ard_3-2-1_50KLV_2021-08-17_final
2021-08-17 12:05:40	ga_s2am_ard_3-2-1_50JLP_2021-08-17_final
2021-08-21 11:44:40	ga_s2am_ard_3-2-1_50JPT_2021-08-21_final
2022-03-28 12:15:13	ga_s2am_ard_3-2-1_49JGL_2022-03-28_final
2022-03-29 11:45:32	ga_s2am_ard_3-2-1_51JTJ_2022-03-29_final
2022-09-25 11:47:31	ga_s2am_ard_3-2-1_50HMG_2022-09-25_final.stac-item
2022-09-29 11:27:02	ga_s2am_ard_3-2-1_51HWC_2022-09-29_final.stac-item
2022-10-31 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-10-31_final.stac-item
2023-01-17 11:26:54	ga_s2am_ard_3-2-1_51HVC_2023-01-17_final.stac-item
2023-02-25 11:53:22	ga_s2am_ard_3-2-1_50KNC_2023-02-25_final.stac-item
2023-03-31 11:37:15	ga_s2am_ard_3-2-1_50HQG_2023-03-31_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