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
2015-11-20 12:13:41	ga_s2am_ard_3-2-1_50KKA_2015-11-20_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_51KVT_2016-07-08_final.stac-item
2016-08-25 11:03:18	ga_s2am_ard_3-2-1_52JCN_2016-08-25_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HPH_2016-09-06_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_51KUV_2016-10-16_final.stac-item
2016-11-19 11:19:19	ga_s2am_ard_3-2-1_51HXD_2016-11-19_final
2016-12-06 11:07:09	ga_s2am_ard_3-2-1_51KZP_2016-12-06_final.stac-item
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KGQ_2017-02-19_final
2017-06-12 12:13:44	ga_s2am_ard_3-2-1_50KKA_2017-06-12_final
2017-07-30 11:28:34	ga_s2am_ard_3-2-1_51KWQ_2017-07-30_final
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_51KUT_2017-09-01_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KWU_2017-11-27_final
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51LYC_2018-02-02_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51KUU_2018-02-28_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_51KXS_2018-04-26_final
2018-05-13 11:26:36	ga_s2am_ard_3-2-1_51HVC_2018-05-13_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51KZU_2018-05-23_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HPJ_2018-05-29_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_51KWT_2018-06-15_final
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51KWS_2018-07-05_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51KXT_2018-07-15_final
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50JMM_2018-08-07_final
2018-08-14 11:26:20	ga_s2am_ard_3-2-1_51KVT_2018-08-14_final
2018-12-09 11:24:36	ga_s2am_ard_3-2-1_51JWM_2018-12-09_final
2019-01-20 12:06:06	ga_s2am_ard_3-2-1_50JKM_2019-01-20_final
2019-02-06 11:56:04	ga_s2am_ard_3-2-1_50JMM_2019-02-06_final
2019-02-10 11:31:53	ga_s2am_ard_3-2-1_51LXC_2019-02-10_final
2019-02-21 11:04:52	ga_s2am_ard_3-2-1_52JCR_2019-02-21_final
2019-03-19 11:23:25	ga_s2am_ard_3-2-1_51KXS_2019-03-19_final
2019-06-26 11:56:34	ga_s2am_ard_3-2-1_50HNK_2019-06-26_final
2019-07-30 11:33:14	ga_s2am_ard_3-2-1_51KXT_2019-07-30_final
2019-09-21 11:40:57	ga_s2am_ard_3-2-1_51LWG_2019-09-21_final.stac-item
2019-10-28 11:33:34	ga_s2am_ard_3-2-1_51KVS_2019-10-28_final
2019-11-10 11:41:00	ga_s2am_ard_3-2-1_51LWG_2019-11-10_final.stac-item
2019-11-17 11:33:40	ga_s2am_ard_3-2-1_51KXR_2019-11-17_final
2019-11-27 11:31:39	ga_s2am_ard_3-2-1_51LYD_2019-11-27_final
2019-12-14 11:23:20	ga_s2am_ard_3-2-1_51KYS_2019-12-14_final
2020-01-13 11:24:26	ga_s2am_ard_3-2-1_51JZM_2020-01-13_final
2020-01-18 12:15:04	ga_s2am_ard_3-2-1_49JGL_2020-01-18_final
2020-03-16 11:33:19	ga_s2am_ard_3-2-1_51KUT_2020-03-16_final
2020-04-12 11:23:09	ga_s2am_ard_3-2-1_51KYT_2020-04-12_final
2020-04-21 11:53:32	ga_s2am_ard_3-2-1_50KMC_2020-04-21_final
2020-05-02 11:23:13	ga_s2am_ard_3-2-1_51KYT_2020-05-02_final
2020-05-15 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2020-05-15_final
2020-07-07 11:41:37	ga_s2am_ard_3-2-1_51LUE_2020-07-07_final
2020-07-11 11:23:14	ga_s2am_ard_3-2-1_51KYT_2020-07-11_final
2020-08-03 11:33:09	ga_s2am_ard_3-2-1_51KYT_2020-08-03_final
2020-10-25 11:41:38	ga_s2am_ard_3-2-1_51LUE_2020-10-25_final
2020-12-08 11:23:36	ga_s2am_ard_3-2-1_51KYR_2020-12-08_final
2021-01-13 11:41:34	ga_s2am_ard_3-2-1_51LUE_2021-01-13_final
2021-04-03 11:43:11	ga_s2am_ard_3-2-1_51KUT_2021-04-03_final
2021-04-09 12:04:23	ga_s2am_ard_3-2-1_50KKU_2021-04-09_final
2021-04-23 11:43:21	ga_s2am_ard_3-2-1_51KVS_2021-04-23_final
2021-05-10 11:33:30	ga_s2am_ard_3-2-1_51KVS_2021-05-10_final
2021-05-13 11:43:14	ga_s2am_ard_3-2-1_51KUT_2021-05-13_final
2021-06-11 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-06-11_final
2021-06-13 11:15:37	ga_s2am_ard_3-2-1_52JBN_2021-06-13_final
2021-06-19 11:33:34	ga_s2am_ard_3-2-1_51KUS_2021-06-19_final
2021-06-26 11:23:12	ga_s2am_ard_3-2-1_51KYT_2021-06-26_final
2021-07-28 12:04:46	ga_s2am_ard_3-2-1_49JHN_2021-07-28_final
2021-09-20 11:43:14	ga_s2am_ard_3-2-1_51KVT_2021-09-20_final
2021-09-27 11:36:50	ga_s2am_ard_3-2-1_51HTD_2021-09-27_final
2021-11-12 11:53:23	ga_s2am_ard_3-2-1_50KPC_2021-11-12_final
2021-12-29 11:43:22	ga_s2am_ard_3-2-1_51KUS_2021-12-29_final
2022-01-22 11:26:58	ga_s2am_ard_3-2-1_51HVC_2022-01-22_final
2022-01-24 12:03:59	ga_s2am_ard_3-2-1_49KHR_2022-01-24_final
2022-02-04 11:31:39	ga_s2am_ard_3-2-1_51LYD_2022-02-04_final
2022-02-15 11:06:03	ga_s2am_ard_3-2-1_52JDL_2022-02-15_final
2022-02-17 11:42:28	ga_s2am_ard_3-2-1_51KVA_2022-02-17_final
2022-03-07 11:05:52	ga_s2am_ard_3-2-1_52JDM_2022-03-07_final
2022-03-29 11:41:35	ga_s2am_ard_3-2-1_51LUE_2022-03-29_final
2022-05-01 11:53:37	ga_s2am_ard_3-2-1_50KQB_2022-05-01_final
2022-07-01 11:23:23	ga_s2am_ard_3-2-1_51KYT_2022-07-01_final
2022-07-21 11:25:15	ga_s2am_ard_3-2-1_51JVL_2022-07-21_final
2022-07-30 11:52:29	ga_s2am_ard_3-2-1_50KQG_2022-07-30_final.stac-item
2022-09-26 12:51:06	ga_s2am_ard_3-2-1_48LXP_2022-09-26_interim.stac-item
2022-09-28 11:56:07	ga_s2am_ard_3-2-1_50JKN_2022-09-28_final.stac-item
2022-09-29 11:23:17	ga_s2am_ard_3-2-1_51KYT_2022-09-29_final.stac-item
2022-10-15 11:41:01	ga_s2am_ard_3-2-1_51LWG_2022-10-15_final.stac-item
2022-11-11 11:32:18	ga_s2am_ard_3-2-1_51KWB_2022-11-11_final.stac-item
2022-11-18 11:23:12	ga_s2am_ard_3-2-1_51KYT_2022-11-18_final.stac-item
2022-12-01 11:34:11	ga_s2am_ard_3-2-1_51KWP_2022-12-01_final.stac-item
2022-12-24 11:43:16	ga_s2am_ard_3-2-1_51KTT_2022-12-24_final.stac-item
2022-12-31 11:33:37	ga_s2am_ard_3-2-1_51KXR_2022-12-31_final.stac-item
2023-01-23 11:42:56	ga_s2am_ard_3-2-1_51KUU_2023-01-23_final.stac-item
2023-03-21 11:33:26	ga_s2am_ard_3-2-1_51KWS_2023-03-21_final.stac-item
2023-03-31 11:33:20	ga_s2am_ard_3-2-1_51KUT_2023-03-31_final.stac-item
2023-04-07 11:24:15	ga_s2am_ard_3-2-1_51KWP_2023-04-07_final.stac-item
2023-06-16 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2023-06-16_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 11:33:49	ga_s2am_ard_3-2-1_51KVR_2023-08-08_final.stac-item
2023-08-28 11:33:36	ga_s2am_ard_3-2-1_51KVS_2023-08-28_final.stac-item
2023-09-10 11:41:23	ga_s2am_ard_3-2-1_51LUF_2023-09-10_final.stac-item
2023-12-26 11:32:29	ga_s2am_ard_3-2-1_51KVA_2023-12-26_final.stac-item
2024-01-15 11:33:31	ga_s2am_ard_3-2-1_51KXR_2024-01-15_final.stac-item
2024-01-15 11:33:46	ga_s2am_ard_3-2-1_51KXQ_2024-01-15_final.stac-item
2024-01-22 11:21:51	ga_s2am_ard_3-2-1_51LYC_2024-01-22_final.stac-item
2024-02-14 11:32:30	ga_s2am_ard_3-2-1_51KVA_2024-02-14_final.stac-item
2024-03-01 11:56:25	ga_s2am_ard_3-2-1_50JLL_2024-03-01_final.stac-item
2024-04-27 11:41:21	ga_s2am_ard_3-2-1_51LUF_2024-04-27_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