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
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHR_2016-05-15_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51KVR_2016-06-05_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KQG_2016-07-01_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51KZR_2016-07-22_final.stac-item
2016-09-09 11:56:06	ga_s2am_ard_3-2-1_50JLL_2016-09-09_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_51KWS_2016-10-23_final.stac-item
2017-05-17 11:56:36	ga_s2am_ard_3-2-1_50HMK_2017-05-17_final
2017-09-25 11:26:05	ga_s2am_ard_3-2-1_51HUE_2017-09-25_final
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50JMM_2017-10-11_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KWS_2017-11-07_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51KXT_2017-12-04_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KUS_2017-12-17_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_51JYF_2018-03-21_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JPR_2018-04-02_final
2018-04-13 11:26:23	ga_s2am_ard_3-2-1_51HUE_2018-04-13_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KVU_2018-05-26_final
2018-11-09 11:24:10	ga_s2am_ard_3-2-1_51KWP_2018-11-09_final
2018-12-12 11:33:51	ga_s2am_ard_3-2-1_51KVQ_2018-12-12_final
2018-12-12 11:34:02	ga_s2am_ard_3-2-1_51KWP_2018-12-12_final
2018-12-25 11:43:17	ga_s2am_ard_3-2-1_51KVS_2018-12-25_final
2019-01-08 11:22:55	ga_s2am_ard_3-2-1_51KXU_2019-01-08_final
2019-01-08 11:26:42	ga_s2am_ard_3-2-1_51HUD_2019-01-08_final
2019-04-20 12:03:47	ga_s2am_ard_3-2-1_50KKB_2019-04-20_final
2019-05-01 11:33:42	ga_s2am_ard_3-2-1_51KXR_2019-05-01_final
2019-07-16 11:56:19	ga_s2am_ard_3-2-1_50JKM_2019-07-16_final
2019-08-22 11:43:05	ga_s2am_ard_3-2-1_51KTU_2019-08-22_final
2019-08-22 11:43:46	ga_s2am_ard_3-2-1_51KUR_2019-08-22_final
2019-08-26 11:23:23	ga_s2am_ard_3-2-1_51KZS_2019-08-26_final
2019-09-11 11:42:55	ga_s2am_ard_3-2-1_51KVU_2019-09-11_final
2019-09-15 11:22:57	ga_s2am_ard_3-2-1_51KZU_2019-09-15_final
2019-09-22 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2019-09-22_final
2019-10-04 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2019-10-04_final
2019-10-28 11:34:17	ga_s2am_ard_3-2-1_51KVP_2019-10-28_final
2019-11-06 12:03:26	ga_s2am_ard_3-2-1_50KMC_2019-11-06_final
2019-11-24 11:23:07	ga_s2am_ard_3-2-1_51KZT_2019-11-24_final
2019-12-20 11:42:54	ga_s2am_ard_3-2-1_51KUU_2019-12-20_final
2019-12-30 11:42:51	ga_s2am_ard_3-2-1_51KVU_2019-12-30_final
2020-01-09 11:41:27	ga_s2am_ard_3-2-1_51LUE_2020-01-09_final
2020-02-11 11:53:17	ga_s2am_ard_3-2-1_50KNC_2020-02-11_final
2020-02-17 12:13:52	ga_s2am_ard_3-2-1_49KGR_2020-02-17_final
2020-04-05 11:33:42	ga_s2am_ard_3-2-1_51KVR_2020-04-05_final
2020-04-22 11:25:35	ga_s2am_ard_3-2-1_51JYH_2020-04-22_final
2020-04-28 11:42:24	ga_s2am_ard_3-2-1_51KWA_2020-04-28_final
2020-05-18 11:42:22	ga_s2am_ard_3-2-1_51KUB_2020-05-18_final.stac-item
2020-05-27 12:15:06	ga_s2am_ard_3-2-1_49JFM_2020-05-27_final
2020-06-01 11:24:08	ga_s2am_ard_3-2-1_51KXQ_2020-06-01_final
2020-06-23 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2020-06-23_final
2020-07-04 11:34:15	ga_s2am_ard_3-2-1_51KWP_2020-07-04_final
2020-07-14 11:32:55	ga_s2am_ard_3-2-1_51KYU_2020-07-14_final
2020-07-24 11:36:43	ga_s2am_ard_3-2-1_50HPK_2020-07-24_final
2020-08-16 11:44:04	ga_s2am_ard_3-2-1_51KUQ_2020-08-16_final
2020-08-30 11:23:55	ga_s2am_ard_3-2-1_51KZQ_2020-08-30_final
2020-10-22 11:34:42	ga_s2am_ard_3-2-1_50JRT_2020-10-22_final
2020-10-31 12:05:34	ga_s2am_ard_3-2-1_49JGK_2020-10-31_final
2020-11-08 11:23:47	ga_s2am_ard_3-2-1_51KXR_2020-11-08_final
2021-02-26 11:23:25	ga_s2am_ard_3-2-1_51KYS_2021-02-26_final
2021-02-26 11:23:35	ga_s2am_ard_3-2-1_51KZR_2021-02-26_final
2021-03-28 11:23:33	ga_s2am_ard_3-2-1_51KZR_2021-03-28_final
2021-04-27 11:23:18	ga_s2am_ard_3-2-1_51KZS_2021-04-27_final
2021-05-10 11:32:50	ga_s2am_ard_3-2-1_51KYU_2021-05-10_final
2021-06-15 11:56:40	ga_s2am_ard_3-2-1_50HLK_2021-06-15_final
2021-07-12 11:42:19	ga_s2am_ard_3-2-1_51KUB_2021-07-12_final.stac-item
2021-07-12 11:43:46	ga_s2am_ard_3-2-1_51KUR_2021-07-12_final
2021-08-11 11:42:59	ga_s2am_ard_3-2-1_51KVU_2021-08-11_final
2021-10-24 11:23:15	ga_s2am_ard_3-2-1_51KYT_2021-10-24_final
2021-11-05 12:04:02	ga_s2am_ard_3-2-1_50KKA_2021-11-05_final
2021-11-13 11:23:37	ga_s2am_ard_3-2-1_51KZR_2021-11-13_final
2021-11-26 11:33:01	ga_s2am_ard_3-2-1_51KVU_2021-11-26_final
2021-12-03 11:23:35	ga_s2am_ard_3-2-1_51KZR_2021-12-03_final
2022-01-15 11:33:39	ga_s2am_ard_3-2-1_51KXR_2022-01-15_final
2022-01-15 11:33:49	ga_s2am_ard_3-2-1_51KUR_2022-01-15_final
2022-02-11 11:23:56	ga_s2am_ard_3-2-1_51KXQ_2022-02-11_final
2022-02-24 11:32:35	ga_s2am_ard_3-2-1_51KVA_2022-02-24_final
2022-02-24 11:33:30	ga_s2am_ard_3-2-1_51KWS_2022-02-24_final
2022-03-16 11:33:07	ga_s2am_ard_3-2-1_51KWU_2022-03-16_final
2022-04-01 11:56:01	ga_s2am_ard_3-2-1_50JKN_2022-04-01_final
2022-04-11 11:56:09	ga_s2am_ard_3-2-1_50JMM_2022-04-11_final
2022-04-14 12:05:18	ga_s2am_ard_3-2-1_49JGL_2022-04-14_final
2022-05-15 11:32:24	ga_s2am_ard_3-2-1_51KVB_2022-05-15_final
2022-06-03 12:04:50	ga_s2am_ard_3-2-1_49JHN_2022-06-03_final
2022-08-20 11:23:08	ga_s2am_ard_3-2-1_51KYU_2022-08-20_final
2022-10-25 11:43:24	ga_s2am_ard_3-2-1_50KQC_2022-10-25_final.stac-item
2022-10-31 12:03:27	ga_s2am_ard_3-2-1_50KMC_2022-10-31_final.stac-item
2022-11-17 11:52:36	ga_s2am_ard_3-2-1_50KQF_2022-11-17_final.stac-item
2022-12-05 11:16:23	ga_s2am_ard_3-2-1_51HYE_2022-12-05_final.stac-item
2023-03-28 11:24:10	ga_s2am_ard_3-2-1_51KXP_2023-03-28_final.stac-item
2023-04-14 11:15:32	ga_s2am_ard_3-2-1_51JYH_2023-04-14_final.stac-item
2023-04-23 11:41:32	ga_s2am_ard_3-2-1_51LUE_2023-04-23_final.stac-item
2023-05-07 11:24:19	ga_s2am_ard_3-2-1_52JBT_2023-05-07_final.stac-item
2023-05-20 11:32:42	ga_s2am_ard_3-2-1_51KXV_2023-05-20_final.stac-item
2023-06-08 12:03:48	ga_s2am_ard_3-2-1_50KKB_2023-06-08_final.stac-item
2023-07-06 11:24:20	ga_s2am_ard_3-2-1_51KWP_2023-07-06_final.stac-item
2023-07-09 11:33:07	ga_s2am_ard_3-2-1_51KVU_2023-07-09_final.stac-item
2023-07-12 11:44:03	ga_s2am_ard_3-2-1_51KUQ_2023-07-12_final.stac-item
2023-08-11 11:41:23	ga_s2am_ard_3-2-1_51LUF_2023-08-11_final.stac-item
2023-10-24 11:26:58	ga_s2am_ard_3-2-1_51HVC_2023-10-24_final.stac-item
2023-10-27 11:32:32	ga_s2am_ard_3-2-1_51KVA_2023-10-27_final.stac-item
2023-10-27 11:32:40	ga_s2am_ard_3-2-1_51KXV_2023-10-27_final.stac-item
2023-11-09 11:43:58	ga_s2am_ard_3-2-1_51KUQ_2023-11-09_final.stac-item
2024-04-24 11:32:28	ga_s2am_ard_3-2-1_51KXA_2024-04-24_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