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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51HWE_2015-11-25_final.stac-item
2016-05-25 12:04:47	ga_s2am_ard_3-2-1_50JLQ_2016-05-25_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51JZN_2016-07-22_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51JVJ_2016-08-24_final.stac-item
2016-10-17 11:11:30	ga_s2am_ard_3-2-1_51JYN_2016-10-17_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HMJ_2016-10-26_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49JGL_2016-12-04_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51HUD_2016-12-29_final.stac-item
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JKM_2017-01-07_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50KQC_2017-01-14_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KVV_2017-01-14_final
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_51KVB_2017-02-13_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50KMB_2017-03-11_final
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50HMK_2017-03-18_final
2017-05-03 12:14:44	ga_s2am_ard_3-2-1_49JGL_2017-05-03_final
2017-05-04 11:38:37	ga_s2am_ard_3-2-1_51KVA_2017-05-04_final
2017-05-24 11:38:34	ga_s2am_ard_3-2-1_51KTU_2017-05-24_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51JXH_2017-09-15_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HNH_2017-09-21_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51HWC_2017-12-11_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50HQJ_2017-12-17_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50JKN_2017-12-23_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JXL_2017-12-24_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51KVU_2017-12-30_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KVR_2018-01-06_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JWJ_2018-01-13_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JWL_2018-01-13_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JKN_2018-04-22_final
2018-05-05 12:02:52	ga_s2am_ard_3-2-1_50KKB_2018-05-05_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JHN_2018-05-15_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JMT_2018-05-25_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49JHM_2018-06-04_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JKT_2018-06-04_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JYL_2018-06-19_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51KWP_2018-09-30_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50JQP_2018-10-13_final
2018-12-15 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2018-12-15_final
2019-04-14 11:45:49	ga_s2am_ard_3-2-1_50JQN_2019-04-14_final
2019-05-01 11:36:09	ga_s2am_ard_3-2-1_50JQM_2019-05-01_final
2019-06-17 11:25:09	ga_s2am_ard_3-2-1_51JYK_2019-06-17_final
2019-07-23 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2019-07-23_final
2019-07-26 11:56:27	ga_s2am_ard_3-2-1_50JML_2019-07-26_final
2019-11-30 11:44:12	ga_s2am_ard_3-2-1_50KQU_2019-11-30_final
2019-12-21 11:16:02	ga_s2am_ard_3-2-1_51JYF_2019-12-21_final
2019-12-26 12:04:37	ga_s2am_ard_3-2-1_49JHN_2019-12-26_final
2020-01-09 11:42:36	ga_s2am_ard_3-2-1_51KVV_2020-01-09_final
2020-01-19 11:42:21	ga_s2am_ard_3-2-1_51KVA_2020-01-19_final
2020-02-28 11:46:25	ga_s2am_ard_3-2-1_50HQK_2020-02-28_final
2020-03-06 11:36:38	ga_s2am_ard_3-2-1_51HUD_2020-03-06_final
2020-04-24 12:05:57	ga_s2am_ard_3-2-1_50JKN_2020-04-24_final
2020-05-11 11:56:04	ga_s2am_ard_3-2-1_50JKN_2020-05-11_final
2020-06-11 11:26:24	ga_s2am_ard_3-2-1_51JUF_2020-06-11_final
2020-06-17 11:43:42	ga_s2am_ard_3-2-1_50KQB_2020-06-17_final
2020-07-13 12:03:19	ga_s2am_ard_3-2-1_50KNC_2020-07-13_final
2020-07-17 11:43:34	ga_s2am_ard_3-2-1_51KUS_2020-07-17_final
2020-08-13 11:37:07	ga_s2am_ard_3-2-1_51HTC_2020-08-13_final
2020-11-10 12:04:43	ga_s2am_ard_3-2-1_50JLT_2020-11-10_final
2020-11-17 11:57:09	ga_s2am_ard_3-2-1_50HMH_2020-11-17_final
2020-12-10 12:05:26	ga_s2am_ard_3-2-1_49JGK_2020-12-10_final
2020-12-10 12:05:48	ga_s2am_ard_3-2-1_50JLN_2020-12-10_final
2021-01-10 11:36:29	ga_s2am_ard_3-2-1_51HUE_2021-01-10_final
2021-02-16 11:25:19	ga_s2am_ard_3-2-1_51JYJ_2021-02-16_final
2021-03-31 11:32:26	ga_s2am_ard_3-2-1_51KWA_2021-03-31_final
2021-06-02 11:43:30	ga_s2am_ard_3-2-1_51KUS_2021-06-02_final
2021-06-06 11:25:43	ga_s2am_ard_3-2-1_51JWH_2021-06-06_final
2021-07-12 11:46:04	ga_s2am_ard_3-2-1_50JQM_2021-07-12_final
2021-09-11 11:16:37	ga_s2am_ard_3-2-1_51HYD_2021-09-11_final
2021-11-26 11:32:29	ga_s2am_ard_3-2-1_51KWA_2021-11-26_final
2021-12-18 12:13:40	ga_s2am_ard_3-2-1_50KKB_2021-12-18_final
2022-01-29 11:16:37	ga_s2am_ard_3-2-1_51HYD_2022-01-29_final
2022-03-30 11:15:27	ga_s2am_ard_3-2-1_51JYJ_2022-03-30_final
2022-05-01 11:54:10	ga_s2am_ard_3-2-1_50KPV_2022-05-01_final
2022-05-22 11:24:29	ga_s2am_ard_3-2-1_51JYN_2022-05-22_final
2022-05-29 11:15:37	ga_s2am_ard_3-2-1_51JXJ_2022-05-29_final
2022-07-14 11:37:19	ga_s2am_ard_3-2-1_50HPH_2022-07-14_final
2022-07-17 11:46:35	ga_s2am_ard_3-2-1_50JNL_2022-07-17_final
2022-08-22 12:06:08	ga_s2am_ard_3-2-1_50JKN_2022-08-22_final
2022-09-02 11:35:31	ga_s2am_ard_3-2-1_51JWJ_2022-09-02_final.stac-item
2022-09-21 12:05:16	ga_s2am_ard_3-2-1_50JLR_2022-09-21_final.stac-item
2022-10-02 11:35:55	ga_s2am_ard_3-2-1_51JTH_2022-10-02_final.stac-item
2022-10-05 11:46:48	ga_s2am_ard_3-2-1_50HMK_2022-10-05_final.stac-item
2022-10-26 11:15:57	ga_s2am_ard_3-2-1_51JYG_2022-10-26_final.stac-item
2022-11-21 11:34:15	ga_s2am_ard_3-2-1_51KVP_2022-11-21_final.stac-item
2022-11-25 11:16:11	ga_s2am_ard_3-2-1_51JXF_2022-11-25_final.stac-item
2022-12-11 11:37:03	ga_s2am_ard_3-2-1_50HQH_2022-12-11_final.stac-item
2023-01-27 11:24:49	ga_s2am_ard_3-2-1_51JYL_2023-01-27_final.stac-item
2023-02-05 11:56:13	ga_s2am_ard_3-2-1_50JKM_2023-02-05_final.stac-item
2023-04-13 11:43:00	ga_s2am_ard_3-2-1_51KUU_2023-04-13_final.stac-item
2023-04-24 11:16:38	ga_s2am_ard_3-2-1_51HYD_2023-04-24_final.stac-item
2023-05-10 11:37:06	ga_s2am_ard_3-2-1_50HPH_2023-05-10_final.stac-item
2023-06-19 11:35:02	ga_s2am_ard_3-2-1_51JVL_2023-06-19_final.stac-item
2023-07-21 12:15:23	ga_s2am_ard_3-2-1_49JGK_2023-07-21_final.stac-item
2023-09-10 11:47:19	ga_s2am_ard_3-2-1_50HLH_2023-09-10_final.stac-item
2024-01-11 11:56:02	ga_s2am_ard_3-2-1_50JMM_2024-01-11_final.stac-item
2024-01-11 11:57:09	ga_s2am_ard_3-2-1_49HGC_2024-01-11_nrt.stac-item
2024-01-18 11:42:37	ga_s2am_ard_3-2-1_51KUV_2024-01-18_final.stac-item
2024-03-08 11:44:42	ga_s2am_ard_3-2-1_50JRS_2024-03-08_final.stac-item
2024-03-09 11:15:43	ga_s2am_ard_3-2-1_51JXH_2024-03-09_final.stac-item
2024-03-12 11:25:20	ga_s2am_ard_3-2-1_51JYJ_2024-03-12_final.stac-item
2024-03-18 11:46:09	ga_s2am_ard_3-2-1_50JNM_2024-03-18_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