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
2015-12-21 11:43:03	ga_s2am_ard_3-2-1_51KVB_2015-12-21_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KXS_2016-01-07_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51KVT_2016-03-07_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51JVK_2016-03-24_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51JVL_2016-03-24_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51KWP_2016-04-23_final.stac-item
2016-04-30 11:14:04	ga_s2am_ard_3-2-1_51HWC_2016-04-30_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50KQB_2016-05-29_final.stac-item
2016-09-25 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-09-25_final.stac-item
2016-10-15 12:14:55	ga_s2am_ard_3-2-1_49JGL_2016-10-15_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51KVT_2016-11-22_final.stac-item
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_51JZN_2016-12-26_final
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_51KVR_2017-02-20_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KWU_2017-05-31_final
2017-07-30 11:28:34	ga_s2am_ard_3-2-1_51KWQ_2017-07-30_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JTM_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JUJ_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JUM_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JVH_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JVL_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51JVN_2017-09-28_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KWU_2017-09-28_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JGL_2017-10-07_final
2017-10-08 11:36:02	ga_s2am_ard_3-2-1_50JQL_2017-10-08_final
2017-10-28 11:36:03	ga_s2am_ard_3-2-1_51HUE_2017-10-28_final
2017-10-28 11:36:03	ga_s2am_ard_3-2-1_51JVF_2017-10-28_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_50HQG_2017-11-27_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HLH_2017-12-30_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KWB_2018-02-15_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HNG_2018-05-29_final.stac-item
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_51KUT_2018-06-15_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51KWQ_2018-07-15_final
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_51KUU_2018-08-07_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HMG_2018-08-17_final.stac-item
2018-10-20 11:16:56	ga_s2am_ard_3-2-1_51KXR_2018-10-20_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-11-01_final
2018-11-09 11:24:10	ga_s2am_ard_3-2-1_51KWP_2018-11-09_final
2018-12-28 11:56:44	ga_s2am_ard_3-2-1_50HMJ_2018-12-28_final
2019-01-31 11:33:39	ga_s2am_ard_3-2-1_51KWR_2019-01-31_final
2019-02-10 11:33:09	ga_s2am_ard_3-2-1_51KWT_2019-02-10_final
2019-02-17 11:23:10	ga_s2am_ard_3-2-1_51KXT_2019-02-17_final
2019-04-01 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2019-04-01_final
2019-05-11 11:33:13	ga_s2am_ard_3-2-1_51KXT_2019-05-11_final
2019-05-11 11:33:49	ga_s2am_ard_3-2-1_51KVR_2019-05-11_final
2019-05-21 11:34:00	ga_s2am_ard_3-2-1_51KWQ_2019-05-21_final
2019-05-24 11:43:03	ga_s2am_ard_3-2-1_51KUU_2019-05-24_final
2019-06-20 11:33:02	ga_s2am_ard_3-2-1_51KVU_2019-06-20_final
2019-06-20 11:34:03	ga_s2am_ard_3-2-1_51KVQ_2019-06-20_final
2019-06-30 11:33:27	ga_s2am_ard_3-2-1_51KUT_2019-06-30_final
2019-07-30 11:32:51	ga_s2am_ard_3-2-1_51KVV_2019-07-30_final
2019-08-12 11:42:49	ga_s2am_ard_3-2-1_51KUV_2019-08-12_final
2019-09-21 11:43:11	ga_s2am_ard_3-2-1_51KVT_2019-09-21_final
2019-10-18 11:33:12	ga_s2am_ard_3-2-1_51KXT_2019-10-18_final
2019-12-14 11:23:38	ga_s2am_ard_3-2-1_51KXR_2019-12-14_final
2020-03-09 11:43:25	ga_s2am_ard_3-2-1_51KUS_2020-03-09_final
2020-03-16 11:33:12	ga_s2am_ard_3-2-1_51KVT_2020-03-16_final
2020-05-25 11:33:10	ga_s2am_ard_3-2-1_51KWT_2020-05-25_final
2020-06-17 11:43:03	ga_s2am_ard_3-2-1_51KVU_2020-06-17_final
2020-06-21 11:26:42	ga_s2am_ard_3-2-1_51HXD_2020-06-21_final
2020-07-04 11:37:02	ga_s2am_ard_3-2-1_51HUC_2020-07-04_final
2020-08-16 11:43:35	ga_s2am_ard_3-2-1_51KUS_2020-08-16_final
2020-09-25 11:42:22	ga_s2am_ard_3-2-1_51KUB_2020-09-25_final.stac-item
2020-10-19 11:23:34	ga_s2am_ard_3-2-1_51KXS_2020-10-19_final
2020-10-25 11:47:19	ga_s2am_ard_3-2-1_50HLH_2020-10-25_final
2020-11-08 11:23:47	ga_s2am_ard_3-2-1_51KXR_2020-11-08_final
2021-01-07 11:24:02	ga_s2am_ard_3-2-1_51KWQ_2021-01-07_final
2021-05-10 11:33:21	ga_s2am_ard_3-2-1_51KUT_2021-05-10_final
2021-09-26 12:05:55	ga_s2am_ard_3-2-1_50JLN_2021-09-26_final
2021-09-27 11:36:50	ga_s2am_ard_3-2-1_51HTD_2021-09-27_final
2021-10-10 11:43:20	ga_s2am_ard_3-2-1_51KUT_2021-10-10_final
2021-10-14 11:23:48	ga_s2am_ard_3-2-1_51KXR_2021-10-14_final
2021-10-17 11:33:39	ga_s2am_ard_3-2-1_51KUS_2021-10-17_final
2021-10-29 12:13:45	ga_s2am_ard_3-2-1_49KHS_2021-10-29_final.stac-item
2021-11-06 11:33:05	ga_s2am_ard_3-2-1_51KVU_2021-11-06_final
2021-11-16 11:33:46	ga_s2am_ard_3-2-1_51KVR_2021-11-16_final
2021-12-06 11:32:28	ga_s2am_ard_3-2-1_51KWA_2021-12-06_final
2021-12-06 11:36:56	ga_s2am_ard_3-2-1_51HUC_2021-12-06_final
2021-12-26 11:33:14	ga_s2am_ard_3-2-1_51KWT_2021-12-26_final
2022-02-24 11:33:41	ga_s2am_ard_3-2-1_51KXR_2022-02-24_final
2022-07-24 11:33:19	ga_s2am_ard_3-2-1_51KXT_2022-07-24_final
2022-07-24 11:34:10	ga_s2am_ard_3-2-1_51KVQ_2022-07-24_final
2022-08-23 11:33:40	ga_s2am_ard_3-2-1_51KWS_2022-08-23_final.stac-item
2022-09-22 11:34:03	ga_s2am_ard_3-2-1_51KWQ_2022-09-22_final.stac-item
2022-10-15 11:42:21	ga_s2am_ard_3-2-1_51KUB_2022-10-15_final.stac-item
2023-02-28 12:03:21	ga_s2am_ard_3-2-1_50KMC_2023-02-28_final.stac-item
2023-07-16 11:24:20	ga_s2am_ard_3-2-1_51KWP_2023-07-16_final.stac-item
2023-08-08 11:37:07	ga_s2am_ard_3-2-1_50HQH_2023-08-08_final.stac-item
2023-08-28 11:33:40	ga_s2am_ard_3-2-1_51KUS_2023-08-28_final.stac-item
2023-10-10 11:43:28	ga_s2am_ard_3-2-1_51KUS_2023-10-10_final.stac-item
2023-10-24 11:23:13	ga_s2am_ard_3-2-1_51KXT_2023-10-24_final.stac-item
2023-10-30 11:42:27	ga_s2am_ard_3-2-1_51KVA_2023-10-30_final.stac-item
2023-11-10 11:16:58	ga_s2am_ard_3-2-1_51HWC_2023-11-10_final.stac-item
2023-11-19 11:43:09	ga_s2am_ard_3-2-1_51KVT_2023-11-19_final.stac-item
2023-12-26 11:32:26	ga_s2am_ard_3-2-1_51KWA_2023-12-26_final.stac-item
2024-02-24 11:32:42	ga_s2am_ard_3-2-1_51KWV_2024-02-24_final.stac-item
2024-02-24 11:33:51	ga_s2am_ard_3-2-1_51KXQ_2024-02-24_final.stac-item
2024-02-27 11:42:16	ga_s2am_ard_3-2-1_51KUB_2024-02-27_final.stac-item
2024-02-27 11:43:02	ga_s2am_ard_3-2-1_51KTU_2024-02-27_final.stac-item
2024-03-08 11:43:15	ga_s2am_ard_3-2-1_51KUT_2024-03-08_final.stac-item
2024-03-22 11:24:16	ga_s2am_ard_3-2-1_51KWP_2024-03-22_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