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
2015-09-11 12:14:44	ga_s2am_ard_3-2-1_49JGN_2015-09-11_final.stac-item
2016-05-05 12:03:52	ga_s2am_ard_3-2-1_50KLV_2016-05-05_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_49JGK_2016-06-14_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JWN_2016-06-25_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51JYM_2016-07-22_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51JZN_2016-07-22_final.stac-item
2016-07-24 12:03:52	ga_s2am_ard_3-2-1_49KHR_2016-07-24_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50HMH_2016-08-17_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HMH_2016-09-19_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_51KUS_2016-09-26_final.stac-item
2016-11-06 11:14:16	ga_s2am_ard_3-2-1_51JYN_2016-11-06_final.stac-item
2016-12-08 11:44:46	ga_s2am_ard_3-2-1_50KNC_2016-12-08_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50JRS_2017-01-14_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KTQ_2017-01-14_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JUF_2017-01-18_final
2017-02-04 11:16:25	ga_s2am_ard_3-2-1_51HYD_2017-02-04_final
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HLH_2017-02-13_final
2017-04-21 11:28:37	ga_s2am_ard_3-2-1_51JWK_2017-04-21_final.stac-item
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51JYH_2017-11-14_final
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JXH_2017-12-24_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JXG_2018-02-02_final
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JXL_2018-02-02_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50JLN_2018-02-11_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JXK_2018-02-22_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JTH_2018-02-25_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50HLH_2018-03-23_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HPK_2018-04-09_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50KQV_2018-06-01_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JTL_2018-06-05_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JMS_2018-07-04_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_50JKM_2018-08-03_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JVH_2018-08-04_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50JNQ_2018-09-26_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JVJ_2018-09-30_final
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_51JXH_2018-10-07_final
2018-11-06 11:16:36	ga_s2am_ard_3-2-1_51HXD_2018-11-06_final
2018-11-11 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2018-11-11_final
2018-11-12 11:35:21	ga_s2am_ard_3-2-1_51JVJ_2018-11-12_final
2019-01-24 11:42:57	ga_s2am_ard_3-2-1_51KUU_2019-01-24_final
2019-03-22 11:36:44	ga_s2am_ard_3-2-1_51HTD_2019-03-22_final
2019-05-10 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2019-05-10_final
2019-05-14 11:43:07	ga_s2am_ard_3-2-1_51KTU_2019-05-14_final
2019-06-23 11:46:27	ga_s2am_ard_3-2-1_50JNL_2019-06-23_final
2019-06-23 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-06-23_final
2019-09-18 11:33:34	ga_s2am_ard_3-2-1_51KUS_2019-09-18_final
2019-10-14 11:56:21	ga_s2am_ard_3-2-1_50JNL_2019-10-14_final
2019-11-27 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2019-11-27_final
2019-12-20 11:44:38	ga_s2am_ard_3-2-1_50JQS_2019-12-20_final
2020-02-11 11:56:29	ga_s2am_ard_3-2-1_50HMK_2020-02-11_final
2020-04-01 11:57:19	ga_s2am_ard_3-2-1_50HLG_2020-04-01_final.stac-item
2020-04-15 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2020-04-15_final
2020-04-16 11:06:37	ga_s2am_ard_3-2-1_51HYD_2020-04-16_final
2020-05-04 12:05:33	ga_s2am_ard_3-2-1_49JGK_2020-05-04_final
2020-05-29 11:15:16	ga_s2am_ard_3-2-1_51JYK_2020-05-29_final
2020-06-11 11:26:32	ga_s2am_ard_3-2-1_51HWE_2020-06-11_final
2020-08-06 11:44:04	ga_s2am_ard_3-2-1_51KUQ_2020-08-06_final
2020-08-10 11:25:12	ga_s2am_ard_3-2-1_51JYK_2020-08-10_final
2020-08-15 12:13:56	ga_s2am_ard_3-2-1_50KKA_2020-08-15_final
2020-08-22 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2020-08-22_final
2020-09-22 11:32:37	ga_s2am_ard_3-2-1_51KVA_2020-09-22_final
2020-10-22 11:36:16	ga_s2am_ard_3-2-1_51JVF_2020-10-22_final
2020-11-07 11:53:47	ga_s2am_ard_3-2-1_50KMB_2020-11-07_final
2021-01-10 11:36:29	ga_s2am_ard_3-2-1_51HUE_2021-01-10_final
2021-01-20 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-01-20_final
2021-04-07 11:26:40	ga_s2am_ard_3-2-1_51HWD_2021-04-07_final
2021-04-10 11:34:59	ga_s2am_ard_3-2-1_51JTL_2021-04-10_final
2021-05-03 11:45:44	ga_s2am_ard_3-2-1_50JQN_2021-05-03_final
2021-05-23 11:46:09	ga_s2am_ard_3-2-1_50JNM_2021-05-23_final
2021-05-30 11:34:44	ga_s2am_ard_3-2-1_51JVM_2021-05-30_final
2021-06-08 12:03:38	ga_s2am_ard_3-2-1_50KMB_2021-06-08_final
2021-06-13 11:16:23	ga_s2am_ard_3-2-1_51HYE_2021-06-13_final
2021-06-13 11:16:37	ga_s2am_ard_3-2-1_51HYD_2021-06-13_final
2021-06-18 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-06-18_final
2021-06-22 11:46:01	ga_s2am_ard_3-2-1_50JQM_2021-06-22_final
2021-06-28 12:05:57	ga_s2am_ard_3-2-1_50JKN_2021-06-28_final
2021-07-12 11:46:29	ga_s2am_ard_3-2-1_50JML_2021-07-12_final
2021-07-29 11:36:32	ga_s2am_ard_3-2-1_51HUE_2021-07-29_final
2021-10-10 11:43:34	ga_s2am_ard_3-2-1_51KUS_2021-10-10_final
2021-11-10 11:15:56	ga_s2am_ard_3-2-1_51JYG_2021-11-10_final
2021-11-16 11:35:27	ga_s2am_ard_3-2-1_51JVJ_2021-11-16_final
2022-02-14 11:35:04	ga_s2am_ard_3-2-1_51JTL_2022-02-14_final
2022-04-01 11:54:25	ga_s2am_ard_3-2-1_50KNU_2022-04-01_final
2022-05-31 11:54:34	ga_s2am_ard_3-2-1_50KMU_2022-05-31_final
2022-05-31 11:54:52	ga_s2am_ard_3-2-1_50JLT_2022-05-31_final
2022-06-11 11:25:34	ga_s2am_ard_3-2-1_51JXJ_2022-06-11_final
2022-07-30 11:54:32	ga_s2am_ard_3-2-1_50KNU_2022-07-30_final
2022-09-21 12:05:04	ga_s2am_ard_3-2-1_50JKS_2022-09-21_final.stac-item
2022-11-25 11:15:56	ga_s2am_ard_3-2-1_51JXG_2022-11-25_final.stac-item
2022-12-27 11:57:13	ga_s2am_ard_3-2-1_49HGC_2022-12-27_nrt.stac-item
2023-02-03 11:16:39	ga_s2am_ard_3-2-1_51HXD_2023-02-03_final.stac-item
2023-03-21 11:36:22	ga_s2am_ard_3-2-1_51HVE_2023-03-21_final.stac-item
2023-06-03 11:15:28	ga_s2am_ard_3-2-1_51JYJ_2023-06-03_final.stac-item
2023-06-03 11:16:44	ga_s2am_ard_3-2-1_51HXD_2023-06-03_final.stac-item
2023-06-12 11:43:47	ga_s2am_ard_3-2-1_51KUR_2023-06-12_final.stac-item
2023-06-19 11:35:02	ga_s2am_ard_3-2-1_51JVL_2023-06-19_final.stac-item
2023-07-29 11:37:03	ga_s2am_ard_3-2-1_51HUC_2023-07-29_final.stac-item
2024-01-04 12:05:52	ga_s2am_ard_3-2-1_50JKN_2024-01-04_final.stac-item
2024-03-05 11:36:43	ga_s2am_ard_3-2-1_51HUD_2024-03-05_final.stac-item
2024-03-08 11:43:51	ga_s2am_ard_3-2-1_50KQA_2024-03-08_final.stac-item
2024-03-12 11:24:41	ga_s2am_ard_3-2-1_51JXM_2024-03-12_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