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
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50JKM_2015-11-14_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51KVT_2016-02-19_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51KWB_2016-02-19_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KKU_2016-03-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HQH_2016-03-20_final.stac-item
2016-04-13 11:26:08	ga_s2am_ard_3-2-1_51HWE_2016-04-13_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_51KTT_2016-04-19_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JGJ_2016-05-15_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51KUU_2016-05-29_final.stac-item
2016-09-22 12:03:42	ga_s2am_ard_3-2-1_50KLV_2016-09-22_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_51HTD_2016-10-03_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51KUS_2016-12-12_final
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51KZP_2016-12-29_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HNK_2017-02-13_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50JLM_2017-02-16_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50JQL_2017-05-11_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KXR_2017-05-31_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KXV_2017-05-31_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_51KVS_2017-07-03_final
2017-07-10 11:28:37	ga_s2am_ard_3-2-1_51KUQ_2017-07-10_final
2017-08-06 11:22:11	ga_s2am_ard_3-2-1_51KWP_2017-08-06_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KWB_2017-11-07_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51KYR_2017-11-14_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JPS_2017-12-03_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_50HQJ_2018-01-06_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_51KVU_2018-03-10_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KPV_2018-06-08_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_50KKB_2018-08-03_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_50HPK_2018-10-03_final
2018-10-23 11:26:17	ga_s2am_ard_3-2-1_51KWV_2018-10-23_final
2018-11-29 11:24:47	ga_s2am_ard_3-2-1_51JXL_2018-11-29_final
2018-12-05 11:46:25	ga_s2am_ard_3-2-1_50HPK_2018-12-05_final
2018-12-09 11:26:09	ga_s2am_ard_3-2-1_51JUF_2018-12-09_final
2018-12-12 11:36:29	ga_s2am_ard_3-2-1_50HPK_2018-12-12_final
2018-12-21 12:03:51	ga_s2am_ard_3-2-1_49KHR_2018-12-21_final
2019-01-28 11:25:53	ga_s2am_ard_3-2-1_51JWG_2019-01-28_final
2019-03-21 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2019-03-21_final
2019-04-24 11:43:03	ga_s2am_ard_3-2-1_51KUU_2019-04-24_final
2019-04-28 11:25:42	ga_s2am_ard_3-2-1_51JXH_2019-04-28_final
2019-05-31 11:36:36	ga_s2am_ard_3-2-1_50HQK_2019-05-31_final
2019-06-13 11:45:49	ga_s2am_ard_3-2-1_50JQN_2019-06-13_final
2019-06-30 11:36:42	ga_s2am_ard_3-2-1_50HPK_2019-06-30_final
2019-07-09 12:04:04	ga_s2am_ard_3-2-1_49KHR_2019-07-09_final.stac-item
2019-08-09 11:35:12	ga_s2am_ard_3-2-1_51JWK_2019-08-09_final
2019-08-19 11:37:29	ga_s2am_ard_3-2-1_50HNG_2019-08-19_final.stac-item
2019-09-04 11:53:10	ga_s2am_ard_3-2-1_50KRC_2019-09-04_final
2019-09-07 12:04:12	ga_s2am_ard_3-2-1_50KKV_2019-09-07_final
2019-10-28 11:32:54	ga_s2am_ard_3-2-1_51KYU_2019-10-28_final
2019-12-24 11:23:58	ga_s2am_ard_3-2-1_51KZP_2019-12-24_final
2020-01-09 11:45:55	ga_s2am_ard_3-2-1_50JQM_2020-01-09_final
2020-01-16 11:32:45	ga_s2am_ard_3-2-1_51KYU_2020-01-16_final
2020-02-12 11:23:42	ga_s2am_ard_3-2-1_51KZQ_2020-02-12_final
2020-02-12 11:26:04	ga_s2am_ard_3-2-1_51JWF_2020-02-12_final
2020-02-18 11:42:36	ga_s2am_ard_3-2-1_51KVV_2020-02-18_final
2020-05-15 11:34:19	ga_s2am_ard_3-2-1_51KVP_2020-05-15_final
2020-07-31 11:23:59	ga_s2am_ard_3-2-1_51KYQ_2020-07-31_final
2020-09-02 11:36:22	ga_s2am_ard_3-2-1_51JTF_2020-09-02_final
2020-10-08 11:56:13	ga_s2am_ard_3-2-1_50JMM_2020-10-08_final
2020-10-19 11:27:07	ga_s2am_ard_3-2-1_51HUC_2020-10-19_final
2020-11-11 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2020-11-11_final
2020-11-18 11:25:16	ga_s2am_ard_3-2-1_51JWK_2020-11-18_final
2020-12-14 11:42:39	ga_s2am_ard_3-2-1_51KVV_2020-12-14_final
2021-01-30 11:33:22	ga_s2am_ard_3-2-1_51KUT_2021-01-30_final
2021-02-05 11:53:31	ga_s2am_ard_3-2-1_50KQB_2021-02-05_final
2021-02-19 11:37:00	ga_s2am_ard_3-2-1_51HTC_2021-02-19_final
2021-03-05 11:14:23	ga_s2am_ard_3-2-1_51JZN_2021-03-05_final
2021-04-13 11:47:11	ga_s2am_ard_3-2-1_50HPG_2021-04-13_final.stac-item
2021-05-02 12:14:57	ga_s2am_ard_3-2-1_49JFM_2021-05-02_final
2021-05-16 11:56:30	ga_s2am_ard_3-2-1_50HNK_2021-05-16_final
2021-06-06 11:26:49	ga_s2am_ard_3-2-1_51HUD_2021-06-06_final
2021-06-29 11:32:48	ga_s2am_ard_3-2-1_51KVV_2021-06-29_final
2021-07-22 11:46:41	ga_s2am_ard_3-2-1_50HNK_2021-07-22_final
2021-08-14 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-08-14_final
2022-01-12 11:26:54	ga_s2am_ard_3-2-1_51HUD_2022-01-12_final
2022-01-18 11:43:19	ga_s2am_ard_3-2-1_50KRC_2022-01-18_final
2022-01-21 11:53:17	ga_s2am_ard_3-2-1_50KQC_2022-01-21_final
2022-02-21 11:26:42	ga_s2am_ard_3-2-1_51HWD_2022-02-21_final
2022-02-24 11:33:59	ga_s2am_ard_3-2-1_51KWQ_2022-02-24_final
2022-03-16 11:33:04	ga_s2am_ard_3-2-1_51KYT_2022-03-16_final
2022-05-14 12:05:19	ga_s2am_ard_3-2-1_49JGL_2022-05-14_final
2022-06-13 12:03:33	ga_s2am_ard_3-2-1_50KMC_2022-06-13_final
2022-08-09 11:53:22	ga_s2am_ard_3-2-1_50KRC_2022-08-09_final
2022-09-15 11:46:32	ga_s2am_ard_3-2-1_50JNL_2022-09-15_final.stac-item
2022-09-18 11:53:19	ga_s2am_ard_3-2-1_50KRC_2022-09-18_final.stac-item
2022-09-18 11:56:16	ga_s2am_ard_3-2-1_50JMM_2022-09-18_final.stac-item
2022-09-19 11:23:51	ga_s2am_ard_3-2-1_51KXR_2022-09-19_final.stac-item
2022-11-14 11:43:03	ga_s2am_ard_3-2-1_51KUU_2022-11-14_final.stac-item
2023-01-23 11:42:42	ga_s2am_ard_3-2-1_51KUV_2023-01-23_final.stac-item
2023-03-11 11:32:57	ga_s2am_ard_3-2-1_51KVU_2023-03-11_final.stac-item
2023-03-17 11:56:12	ga_s2am_ard_3-2-1_50JKM_2023-03-17_final.stac-item
2023-03-28 11:25:18	ga_s2am_ard_3-2-1_51JYJ_2023-03-28_final.stac-item
2023-04-19 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-04-19_final.stac-item
2023-04-30 11:36:29	ga_s2am_ard_3-2-1_51HUE_2023-04-30_final.stac-item
2023-05-27 11:22:27	ga_s2am_ard_3-2-1_51KZA_2023-05-27_final.stac-item
2023-06-06 11:22:27	ga_s2am_ard_3-2-1_51KZA_2023-06-06_final.stac-item
2023-11-28 12:13:47	ga_s2am_ard_3-2-1_50KKA_2023-11-28_final.stac-item
2023-11-28 12:14:20	ga_s2am_ard_3-2-1_49KGP_2023-11-28_final.stac-item
2023-12-06 11:32:19	ga_s2am_ard_3-2-1_51KXA_2023-12-06_final.stac-item
2023-12-06 11:32:56	ga_s2am_ard_3-2-1_51KYT_2023-12-06_final.stac-item
2023-12-26 11:32:08	ga_s2am_ard_3-2-1_51KXB_2023-12-26_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