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
2016-08-11 11:22:31	ga_s2am_ard_3-2-1_51KZP_2016-08-11_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HNK_2017-01-14_final
2017-02-10 11:26:14	ga_s2am_ard_3-2-1_51KYB_2017-02-10_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HPH_2017-03-25_final
2017-05-21 11:36:06	ga_s2am_ard_3-2-1_51HTE_2017-05-21_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JVF_2017-09-28_final
2017-12-23 11:49:15	ga_s2am_ard_3-2-1_50KQV_2017-12-23_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51KYT_2017-12-24_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JXN_2018-01-13_final
2018-01-18 12:13:37	ga_s2am_ard_3-2-1_50KKA_2018-01-18_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_50KQC_2018-04-29_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_51KUU_2018-04-29_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51KYT_2018-06-05_final
2018-06-22 11:20:28	ga_s2am_ard_3-2-1_51KYR_2018-06-22_final
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51KVQ_2018-07-05_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_50JNM_2018-08-17_final
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_51KYT_2018-09-10_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51KWR_2018-10-23_final
2018-12-19 11:23:01	ga_s2am_ard_3-2-1_51KYT_2018-12-19_final
2019-01-24 11:46:30	ga_s2am_ard_3-2-1_50HPK_2019-01-24_final
2019-02-17 11:23:39	ga_s2am_ard_3-2-1_51KXR_2019-02-17_final
2019-04-21 11:34:18	ga_s2am_ard_3-2-1_51JXN_2019-04-21_final
2019-05-04 11:43:33	ga_s2am_ard_3-2-1_51KUS_2019-05-04_final
2019-06-19 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-06-19_final.stac-item
2019-06-27 11:26:45	ga_s2am_ard_3-2-1_51HWD_2019-06-27_final
2019-08-12 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2019-08-12_final
2019-08-23 11:13:56	ga_s2am_ard_3-2-1_51KZQ_2019-08-23_final
2019-08-26 11:23:12	ga_s2am_ard_3-2-1_51KYT_2019-08-26_final
2019-10-08 11:33:18	ga_s2am_ard_3-2-1_51KVT_2019-10-08_final
2019-10-18 11:35:59	ga_s2am_ard_3-2-1_51JVG_2019-10-18_final
2019-11-09 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-11-09_final
2019-11-17 11:33:10	ga_s2am_ard_3-2-1_51KXT_2019-11-17_final
2019-11-26 12:04:57	ga_s2am_ard_3-2-1_50JKS_2019-11-26_final
2019-11-30 11:42:41	ga_s2am_ard_3-2-1_51KVV_2019-11-30_final
2019-12-29 12:13:34	ga_s2am_ard_3-2-1_50KKB_2019-12-29_final
2020-01-19 11:42:39	ga_s2am_ard_3-2-1_51KUV_2020-01-19_final
2020-01-28 12:13:32	ga_s2am_ard_3-2-1_50KKB_2020-01-28_final
2020-01-28 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2020-01-28_final
2020-02-08 11:45:10	ga_s2am_ard_3-2-1_50JQQ_2020-02-08_final
2020-02-28 11:42:59	ga_s2am_ard_3-2-1_50KRD_2020-02-28_final
2020-03-03 11:26:54	ga_s2am_ard_3-2-1_51HVC_2020-03-03_final
2020-03-05 12:04:00	ga_s2am_ard_3-2-1_50KKA_2020-03-05_final
2020-04-01 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2020-04-01_final
2020-04-22 11:23:15	ga_s2am_ard_3-2-1_51KXT_2020-04-22_final
2020-05-05 11:36:50	ga_s2am_ard_3-2-1_51HTD_2020-05-05_final
2020-05-28 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-05-28_final
2020-06-10 11:56:02	ga_s2am_ard_3-2-1_50JLN_2020-06-10_final
2020-06-18 11:14:00	ga_s2am_ard_3-2-1_51KZQ_2020-06-18_final
2020-08-12 12:05:43	ga_s2am_ard_3-2-1_50JLP_2020-08-12_final
2020-09-04 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2020-09-04_final
2020-09-24 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-09-24_final
2021-01-03 11:42:46	ga_s2am_ard_3-2-1_51KUV_2021-01-03_final
2021-02-16 11:24:36	ga_s2am_ard_3-2-1_51JYM_2021-02-16_final
2021-04-10 11:32:53	ga_s2am_ard_3-2-1_51KWU_2021-04-10_final
2021-04-29 12:04:10	ga_s2am_ard_3-2-1_50KKV_2021-04-29_final
2021-05-23 11:47:21	ga_s2am_ard_3-2-1_50HNG_2021-05-23_final.stac-item
2021-06-08 12:03:45	ga_s2am_ard_3-2-1_50KNA_2021-06-08_final
2021-06-21 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-06-21_final
2021-09-29 12:13:44	ga_s2am_ard_3-2-1_50KKB_2021-09-29_final
2021-11-29 11:42:09	ga_s2am_ard_3-2-1_51KWB_2021-11-29_final
2022-01-05 11:33:14	ga_s2am_ard_3-2-1_51KWT_2022-01-05_final
2022-02-04 11:33:30	ga_s2am_ard_3-2-1_51KVS_2022-02-04_final
2022-02-17 11:43:30	ga_s2am_ard_3-2-1_51KUS_2022-02-17_final
2022-03-29 11:42:48	ga_s2am_ard_3-2-1_51KUV_2022-03-29_final
2022-04-21 11:53:15	ga_s2am_ard_3-2-1_50KRC_2022-04-21_final
2022-05-14 12:04:00	ga_s2am_ard_3-2-1_50KLA_2022-05-14_final
2022-05-15 11:33:07	ga_s2am_ard_3-2-1_51KYT_2022-05-15_final
2022-06-23 12:06:04	ga_s2am_ard_3-2-1_50JLN_2022-06-23_final
2022-06-24 11:32:27	ga_s2am_ard_3-2-1_51KWB_2022-06-24_final
2022-07-11 11:27:11	ga_s2am_ard_3-2-1_51HVC_2022-07-11_final
2022-08-13 11:33:46	ga_s2am_ard_3-2-1_51KUS_2022-08-13_final
2022-08-23 11:32:59	ga_s2am_ard_3-2-1_51KVV_2022-08-23_final.stac-item
2022-09-01 12:05:09	ga_s2am_ard_3-2-1_49JHM_2022-09-01_final.stac-item
2022-09-02 11:36:40	ga_s2am_ard_3-2-1_51HUE_2022-09-02_final.stac-item
2022-09-12 11:33:52	ga_s2am_ard_3-2-1_51KWR_2022-09-12_final.stac-item
2022-10-12 11:32:20	ga_s2am_ard_3-2-1_51KWB_2022-10-12_final.stac-item
2022-10-12 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2022-10-12_final.stac-item
2022-10-25 11:43:24	ga_s2am_ard_3-2-1_50KQC_2022-10-25_final.stac-item
2022-11-04 11:43:15	ga_s2am_ard_3-2-1_51KVT_2022-11-04_final.stac-item
2023-01-10 11:34:09	ga_s2am_ard_3-2-1_51KWP_2023-01-10_final.stac-item
2023-01-23 11:42:05	ga_s2am_ard_3-2-1_51KWB_2023-01-23_final.stac-item
2023-02-08 12:03:36	ga_s2am_ard_3-2-1_50KMB_2023-02-08_final.stac-item
2023-02-08 12:04:41	ga_s2am_ard_3-2-1_50JKT_2023-02-08_final.stac-item
2023-02-23 11:16:05	ga_s2am_ard_3-2-1_51JYF_2023-02-23_final.stac-item
2023-02-25 11:56:38	ga_s2am_ard_3-2-1_50HLK_2023-02-25_final.stac-item
2023-03-31 11:33:29	ga_s2am_ard_3-2-1_51KVS_2023-03-31_final.stac-item
2023-04-10 11:32:07	ga_s2am_ard_3-2-1_51KYB_2023-04-10_final.stac-item
2023-04-20 11:36:59	ga_s2am_ard_3-2-1_51HTC_2023-04-20_final.stac-item
2023-05-30 11:35:48	ga_s2am_ard_3-2-1_51JUH_2023-05-30_final.stac-item
2023-08-01 11:46:14	ga_s2am_ard_3-2-1_50JNM_2023-08-01_final.stac-item
2023-08-18 11:33:08	ga_s2am_ard_3-2-1_51KYT_2023-08-18_final.stac-item
2023-09-10 11:42:26	ga_s2am_ard_3-2-1_51KWA_2023-09-10_final.stac-item
2023-09-26 12:05:03	ga_s2am_ard_3-2-1_49JGM_2023-09-26_final.stac-item
2023-10-07 11:36:47	ga_s2am_ard_3-2-1_51HTD_2023-10-07_final.stac-item
2023-12-03 11:22:53	ga_s2am_ard_3-2-1_51KXU_2023-12-03_final.stac-item
2024-01-08 11:46:58	ga_s2am_ard_3-2-1_50HPH_2024-01-08_final.stac-item
2024-02-16 12:14:39	ga_s2am_ard_3-2-1_49JGN_2024-02-16_final.stac-item
2024-02-24 11:33:51	ga_s2am_ard_3-2-1_51KXQ_2024-02-24_final.stac-item
2024-03-25 11:32:30	ga_s2am_ard_3-2-1_51KWA_2024-03-25_final.stac-item
2024-04-14 11:33:29	ga_s2am_ard_3-2-1_51KWS_2024-04-14_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