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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50KMC_2015-10-28_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KNC_2016-03-16_final.stac-item
2016-04-13 11:26:08	ga_s2am_ard_3-2-1_51HWE_2016-04-13_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JQM_2016-04-29_final.stac-item
2016-05-26 11:36:09	ga_s2am_ard_3-2-1_51JTF_2016-05-26_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KMB_2016-06-24_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50JPL_2016-10-03_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-10-05_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_51KVS_2016-11-05_final.stac-item
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_49KGQ_2017-02-09_final
2017-05-03 12:13:46	ga_s2am_ard_3-2-1_50KKA_2017-05-03_final
2017-05-21 11:36:06	ga_s2am_ard_3-2-1_50JQL_2017-05-21_final
2017-07-23 11:38:36	ga_s2am_ard_3-2-1_51KUV_2017-07-23_final
2017-07-23 11:38:36	ga_s2am_ard_3-2-1_51KVA_2017-07-23_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGM_2017-09-27_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JKN_2017-10-24_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_50KKB_2017-11-09_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KVU_2018-01-06_final
2018-01-13 11:25:27	ga_s2am_ard_3-2-1_51HVC_2018-01-13_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50KQU_2018-02-28_final
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_51KVA_2018-03-30_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_51JVJ_2018-04-06_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HQH_2018-06-15_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50HMK_2018-07-21_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JML_2018-08-30_final
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51JVJ_2018-08-31_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JKR_2018-09-02_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGM_2018-09-05_final
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51HTC_2018-09-23_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_51KVS_2018-10-06_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HPK_2018-10-13_final
2018-10-29 11:49:24	ga_s2am_ard_3-2-1_50KQG_2018-10-29_final.stac-item
2018-12-12 11:36:29	ga_s2am_ard_3-2-1_50HPK_2018-12-12_final
2019-01-04 11:42:08	ga_s2am_ard_3-2-1_51KVB_2019-01-04_final
2019-04-04 11:42:46	ga_s2am_ard_3-2-1_51KUV_2019-04-04_final
2019-05-14 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2019-05-14_final
2019-06-06 11:55:50	ga_s2am_ard_3-2-1_50JKP_2019-06-06_final
2019-07-13 11:42:18	ga_s2am_ard_3-2-1_51KVB_2019-07-13_final
2019-08-22 11:42:15	ga_s2am_ard_3-2-1_51KVB_2019-08-22_final
2019-08-31 12:13:55	ga_s2am_ard_3-2-1_50KKA_2019-08-31_final
2019-12-21 11:14:23	ga_s2am_ard_3-2-1_51JYN_2019-12-21_final
2020-02-18 11:45:08	ga_s2am_ard_3-2-1_51JTK_2020-02-18_final
2020-06-13 12:03:24	ga_s2am_ard_3-2-1_50KLC_2020-06-13_final.stac-item
2020-07-16 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-07-16_final
2020-08-10 11:26:20	ga_s2am_ard_3-2-1_51JVF_2020-08-10_final
2020-09-05 11:43:08	ga_s2am_ard_3-2-1_51KTU_2020-09-05_final
2020-10-12 11:35:51	ga_s2am_ard_3-2-1_51JUH_2020-10-12_final
2020-11-03 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-11-03_final
2020-11-14 11:43:18	ga_s2am_ard_3-2-1_51KUT_2020-11-14_final
2020-11-24 11:43:34	ga_s2am_ard_3-2-1_50KRB_2020-11-24_final
2020-12-07 11:56:09	ga_s2am_ard_3-2-1_50JLM_2020-12-07_final
2021-01-03 11:43:22	ga_s2am_ard_3-2-1_51KVS_2021-01-03_final
2021-01-13 11:45:44	ga_s2am_ard_3-2-1_51JTH_2021-01-13_final
2021-02-18 12:05:51	ga_s2am_ard_3-2-1_50JLN_2021-02-18_final
2021-05-07 11:26:45	ga_s2am_ard_3-2-1_51HVD_2021-05-07_final
2021-06-02 11:42:46	ga_s2am_ard_3-2-1_51KUV_2021-06-02_final
2021-07-31 12:14:21	ga_s2am_ard_3-2-1_50KKU_2021-07-31_final
2021-07-31 12:14:24	ga_s2am_ard_3-2-1_50KKU_2021-07-31_final
2021-08-11 11:43:27	ga_s2am_ard_3-2-1_51KVS_2021-08-11_final
2021-08-21 11:43:02	ga_s2am_ard_3-2-1_51KUU_2021-08-21_final
2021-08-27 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-08-27_final
2021-09-06 12:04:28	ga_s2am_ard_3-2-1_50KKU_2021-09-06_final
2021-09-07 11:33:34	ga_s2am_ard_3-2-1_51KUS_2021-09-07_final
2021-09-27 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2021-09-27_final
2021-09-30 11:46:30	ga_s2am_ard_3-2-1_50JML_2021-09-30_final
2021-10-03 11:56:34	ga_s2am_ard_3-2-1_50HNK_2021-10-03_final
2021-11-16 11:33:31	ga_s2am_ard_3-2-1_51KVS_2021-11-16_final
2021-12-28 12:15:01	ga_s2am_ard_3-2-1_49JFM_2021-12-28_final
2022-01-17 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-01-17_final
2022-01-24 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-01-24_final
2022-02-03 12:03:44	ga_s2am_ard_3-2-1_50KKB_2022-02-03_final
2022-02-07 11:43:32	ga_s2am_ard_3-2-1_50KRB_2022-02-07_final
2022-02-07 11:43:35	ga_s2am_ard_3-2-1_51KVR_2022-02-07_final
2022-02-07 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2022-02-07_final
2022-02-24 11:36:45	ga_s2am_ard_3-2-1_51HUD_2022-02-24_final
2022-03-09 11:43:19	ga_s2am_ard_3-2-1_51KUT_2022-03-09_final
2022-03-09 11:46:41	ga_s2am_ard_3-2-1_50HNK_2022-03-09_final
2022-04-14 12:04:16	ga_s2am_ard_3-2-1_50KKV_2022-04-14_final
2022-04-21 11:57:14	ga_s2am_ard_3-2-1_50HLH_2022-04-21_final
2022-04-28 11:42:51	ga_s2am_ard_3-2-1_51KUV_2022-04-28_final
2022-05-14 12:04:28	ga_s2am_ard_3-2-1_50KLU_2022-05-14_final
2022-06-03 12:03:49	ga_s2am_ard_3-2-1_50KLB_2022-06-03_final
2022-06-07 11:42:36	ga_s2am_ard_3-2-1_51KVA_2022-06-07_final
2022-08-23 11:35:54	ga_s2am_ard_3-2-1_51JVH_2022-08-23_final.stac-item
2022-09-02 11:36:26	ga_s2am_ard_3-2-1_51JUF_2022-09-02_final.stac-item
2022-10-01 12:04:21	ga_s2am_ard_3-2-1_49KHQ_2022-10-01_final.stac-item
2022-11-15 11:17:01	ga_s2am_ard_3-2-1_51HWC_2022-11-15_final.stac-item
2022-12-14 11:46:08	ga_s2am_ard_3-2-1_50JNM_2022-12-14_final.stac-item
2023-02-22 11:44:03	ga_s2am_ard_3-2-1_50KQV_2023-02-22_final.stac-item
2023-03-04 11:42:10	ga_s2am_ard_3-2-1_51KVB_2023-03-04_final.stac-item
2023-03-10 12:04:28	ga_s2am_ard_3-2-1_49KHP_2023-03-10_final.stac-item
2023-03-11 11:36:53	ga_s2am_ard_3-2-1_51HUC_2023-03-11_final.stac-item
2023-04-16 11:53:17	ga_s2am_ard_3-2-1_50KQC_2023-04-16_final.stac-item
2023-05-09 12:03:59	ga_s2am_ard_3-2-1_49KHR_2023-05-09_final.stac-item
2023-06-22 11:43:33	ga_s2am_ard_3-2-1_51KUS_2023-06-22_final.stac-item
2023-09-03 11:56:09	ga_s2am_ard_3-2-1_50JNM_2023-09-03_final.stac-item
2023-10-20 11:43:11	ga_s2am_ard_3-2-1_51KVT_2023-10-20_final.stac-item
2023-11-22 11:53:17	ga_s2am_ard_3-2-1_50KPC_2023-11-22_final.stac-item
2024-03-21 11:55:47	ga_s2am_ard_3-2-1_50JKP_2024-03-21_final.stac-item
2024-04-03 12:06:07	ga_s2am_ard_3-2-1_50JKM_2024-04-03_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