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
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51HVC_2016-04-23_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HMK_2016-04-29_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51KTS_2016-05-29_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51JZN_2016-07-09_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49KHR_2016-08-03_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51JVH_2016-09-20_final.stac-item
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_51KVV_2016-11-15_final.stac-item
2016-12-16 11:08:59	ga_s2am_ard_3-2-1_51HXD_2016-12-16_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50KNB_2017-01-20_final
2017-04-14 11:38:34	ga_s2am_ard_3-2-1_50KQC_2017-04-14_final.stac-item
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51JYL_2017-04-28_final
2017-05-04 11:38:37	ga_s2am_ard_3-2-1_51KVA_2017-05-04_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50KQG_2017-06-06_final.stac-item
2017-06-09 12:03:49	ga_s2am_ard_3-2-1_49KHR_2017-06-09_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JLL_2017-07-16_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_51KVB_2017-08-12_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_51JVH_2017-08-19_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HQK_2018-02-18_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50KMC_2018-03-06_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_50JQN_2018-03-27_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KUR_2018-04-26_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_51KUU_2018-05-19_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50KKU_2018-05-25_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHR_2018-06-04_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51JWG_2018-06-12_final
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51JXJ_2018-07-02_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JLM_2018-07-11_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JLT_2018-08-23_final
2019-01-04 11:42:58	ga_s2am_ard_3-2-1_50KRD_2019-01-04_final
2019-01-05 11:16:35	ga_s2am_ard_3-2-1_51HXD_2019-01-05_final
2019-01-21 11:34:11	ga_s2am_ard_3-2-1_51KVP_2019-01-21_final
2019-02-03 11:45:58	ga_s2am_ard_3-2-1_50JQM_2019-02-03_final
2019-02-10 11:32:43	ga_s2am_ard_3-2-1_51KVV_2019-02-10_final
2019-02-13 11:43:32	ga_s2am_ard_3-2-1_51KVR_2019-02-13_final
2019-04-03 12:14:42	ga_s2am_ard_3-2-1_49JGN_2019-04-03_final
2019-04-18 11:24:01	ga_s2am_ard_3-2-1_51KWQ_2019-04-18_final
2019-05-04 11:43:07	ga_s2am_ard_3-2-1_51KTU_2019-05-04_final
2019-06-13 11:47:09	ga_s2am_ard_3-2-1_50HNH_2019-06-13_final
2019-07-10 11:37:08	ga_s2am_ard_3-2-1_50HQH_2019-07-10_final
2019-07-13 11:43:49	ga_s2am_ard_3-2-1_51KUR_2019-07-13_final
2019-08-19 11:32:28	ga_s2am_ard_3-2-1_51KXA_2019-08-19_final
2019-09-18 11:37:06	ga_s2am_ard_3-2-1_50HPH_2019-09-18_final
2019-10-21 11:43:32	ga_s2am_ard_3-2-1_51KUS_2019-10-21_final
2019-11-17 11:37:31	ga_s2am_ard_3-2-1_50HNG_2019-11-17_final.stac-item
2019-11-26 12:03:59	ga_s2am_ard_3-2-1_49KHR_2019-11-26_final
2019-12-06 12:03:21	ga_s2am_ard_3-2-1_50KMC_2019-12-06_final
2019-12-19 12:15:04	ga_s2am_ard_3-2-1_49JGL_2019-12-19_final
2020-01-09 11:46:17	ga_s2am_ard_3-2-1_50JNL_2020-01-09_final
2020-02-14 12:04:54	ga_s2am_ard_3-2-1_49JGM_2020-02-14_final
2020-03-09 11:46:19	ga_s2am_ard_3-2-1_50JNL_2020-03-09_final
2020-03-26 11:34:25	ga_s2am_ard_3-2-1_51JVN_2020-03-26_final
2020-04-25 11:37:28	ga_s2am_ard_3-2-1_50HNG_2020-04-25_final.stac-item
2020-06-13 12:04:19	ga_s2am_ard_3-2-1_50KKV_2020-06-13_final
2020-08-03 11:35:04	ga_s2am_ard_3-2-1_51JVL_2020-08-03_final
2020-08-06 11:42:15	ga_s2am_ard_3-2-1_51KWB_2020-08-06_final
2020-08-06 11:43:57	ga_s2am_ard_3-2-1_50KQA_2020-08-06_final
2020-09-01 12:04:51	ga_s2am_ard_3-2-1_49JGN_2020-09-01_final
2020-10-05 11:42:48	ga_s2am_ard_3-2-1_51KVV_2020-10-05_final
2020-10-14 12:14:13	ga_s2am_ard_3-2-1_50KKV_2020-10-14_final
2020-12-01 11:34:14	ga_s2am_ard_3-2-1_51KVP_2020-12-01_final
2020-12-10 12:05:34	ga_s2am_ard_3-2-1_50JLP_2020-12-10_final
2020-12-18 11:27:05	ga_s2am_ard_3-2-1_51HTC_2020-12-18_final
2021-01-14 11:16:41	ga_s2am_ard_3-2-1_51HXD_2021-01-14_final
2021-02-09 11:34:53	ga_s2am_ard_3-2-1_51JWL_2021-02-09_final
2021-03-01 11:33:48	ga_s2am_ard_3-2-1_51KUR_2021-03-01_final
2021-03-01 11:34:54	ga_s2am_ard_3-2-1_51JWL_2021-03-01_final
2021-04-02 12:14:53	ga_s2am_ard_3-2-1_49JGM_2021-04-02_final
2021-04-14 11:16:17	ga_s2am_ard_3-2-1_51HYE_2021-04-14_final
2021-04-23 11:43:32	ga_s2am_ard_3-2-1_51KVR_2021-04-23_final
2021-05-13 11:43:43	ga_s2am_ard_3-2-1_51KUR_2021-05-13_final
2021-11-06 11:32:18	ga_s2am_ard_3-2-1_51KWB_2021-11-06_final
2022-01-05 11:36:48	ga_s2am_ard_3-2-1_51HTD_2022-01-05_final
2022-02-14 11:36:46	ga_s2am_ard_3-2-1_51HTD_2022-02-14_final
2022-02-17 11:46:20	ga_s2am_ard_3-2-1_50JPL_2022-02-17_final
2022-04-25 11:32:49	ga_s2am_ard_3-2-1_51KWV_2022-04-25_final
2022-04-28 11:46:39	ga_s2am_ard_3-2-1_50HPK_2022-04-28_final
2022-06-10 11:55:44	ga_s2am_ard_3-2-1_50JNP_2022-06-10_final
2022-06-13 12:04:09	ga_s2am_ard_3-2-1_50KKA_2022-06-13_final
2022-06-14 11:32:39	ga_s2am_ard_3-2-1_51KWA_2022-06-14_final
2022-08-19 11:52:32	ga_s2am_ard_3-2-1_50KQG_2022-08-19_final.stac-item
2022-08-30 11:26:54	ga_s2am_ard_3-2-1_51HXD_2022-08-30_final.stac-item
2022-10-05 11:47:17	ga_s2am_ard_3-2-1_50HMH_2022-10-05_final.stac-item
2022-10-24 12:14:29	ga_s2am_ard_3-2-1_49KGP_2022-10-24_final.stac-item
2022-11-21 11:37:01	ga_s2am_ard_3-2-1_51HTC_2022-11-21_final.stac-item
2023-03-11 11:34:06	ga_s2am_ard_3-2-1_51KWP_2023-03-11_final.stac-item
2023-03-21 11:33:00	ga_s2am_ard_3-2-1_51KVU_2023-03-21_final.stac-item
2023-04-20 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2023-04-20_final.stac-item
2023-04-29 12:05:41	ga_s2am_ard_3-2-1_50JKP_2023-04-29_final.stac-item
2023-06-25 11:53:24	ga_s2am_ard_3-2-1_50KPC_2023-06-25_final.stac-item
2023-07-16 11:24:16	ga_s2am_ard_3-2-1_51KXP_2023-07-16_final.stac-item
2023-08-05 11:24:42	ga_s2am_ard_3-2-1_51JYM_2023-08-05_final.stac-item
2023-08-11 11:43:05	ga_s2am_ard_3-2-1_51KUU_2023-08-11_final.stac-item
2023-08-15 11:25:15	ga_s2am_ard_3-2-1_51JXK_2023-08-15_final.stac-item
2023-09-23 11:53:12	ga_s2am_ard_3-2-1_50KRC_2023-09-23_final.stac-item
2023-11-16 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-11-16_final.stac-item
2023-11-23 11:24:49	ga_s2am_ard_3-2-1_51JYL_2023-11-23_final.stac-item
2024-01-25 11:34:04	ga_s2am_ard_3-2-1_51KWP_2024-01-25_final.stac-item
2024-01-28 11:43:13	ga_s2am_ard_3-2-1_50KRC_2024-01-28_final.stac-item
2024-02-26 12:14:59	ga_s2am_ard_3-2-1_49JFM_2024-02-26_final.stac-item
2024-03-11 11:53:11	ga_s2am_ard_3-2-1_50KRC_2024-03-11_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