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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGJ_2015-12-17_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51KUV_2016-03-20_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51HVD_2016-05-03_final.stac-item
2016-05-10 11:10:18	ga_s2am_ard_3-2-1_51HYE_2016-05-10_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HPJ_2016-09-26_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_51KWU_2016-11-02_final.stac-item
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_51KVB_2017-03-25_final
2017-06-26 11:56:32	ga_s2am_ard_3-2-1_50HMG_2017-06-26_final.stac-item
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51KWQ_2017-07-17_final
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_50HNG_2017-07-30_final.stac-item
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51KWQ_2017-08-26_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_51KWU_2017-09-28_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KWQ_2017-11-07_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KUT_2018-01-06_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KVR_2018-01-06_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_50JRT_2018-01-26_final
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51KWR_2018-01-26_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KVT_2018-02-25_final
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KVS_2018-03-07_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KHS_2018-05-18_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JTK_2018-05-26_final
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_51KTU_2018-05-29_final
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_51KVV_2018-05-29_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51KWR_2018-08-04_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JHN_2018-08-13_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51KVR_2018-08-24_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HNH_2018-08-27_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JMQ_2018-08-30_final
2018-08-31 11:16:57	ga_s2am_ard_3-2-1_51KWQ_2018-08-31_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50HQH_2018-09-13_final
2018-09-26 11:34:41	ga_s2am_ard_3-2-1_51KUV_2018-09-26_final
2018-09-27 11:12:40	ga_s2am_ard_3-2-1_51HWC_2018-09-27_final.stac-item
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51KVU_2018-10-03_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_51KUU_2018-10-06_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51KVU_2018-10-13_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KVU_2018-10-26_final
2018-12-15 11:42:52	ga_s2am_ard_3-2-1_51KUU_2018-12-15_final
2018-12-19 11:26:53	ga_s2am_ard_3-2-1_51HUC_2018-12-19_final
2018-12-25 11:43:11	ga_s2am_ard_3-2-1_50KRC_2018-12-25_final
2019-01-14 11:44:47	ga_s2am_ard_3-2-1_51JUL_2019-01-14_final
2019-02-13 11:42:42	ga_s2am_ard_3-2-1_51KUV_2019-02-13_final
2019-05-31 11:36:36	ga_s2am_ard_3-2-1_50HQK_2019-05-31_final
2019-06-26 11:57:14	ga_s2am_ard_3-2-1_50HLH_2019-06-26_final
2019-09-18 11:33:52	ga_s2am_ard_3-2-1_51KXQ_2019-09-18_final
2019-10-11 11:42:24	ga_s2am_ard_3-2-1_51KWA_2019-10-11_final
2019-10-31 11:42:12	ga_s2am_ard_3-2-1_51KWB_2019-10-31_final
2019-11-10 11:43:14	ga_s2am_ard_3-2-1_51KVT_2019-11-10_final
2019-11-21 11:16:38	ga_s2am_ard_3-2-1_51HYD_2019-11-21_final
2019-11-21 11:17:00	ga_s2am_ard_3-2-1_51HWC_2019-11-21_final.stac-item
2020-01-23 11:26:55	ga_s2am_ard_3-2-1_51HUC_2020-01-23_final
2020-03-09 11:42:53	ga_s2am_ard_3-2-1_51KVU_2020-03-09_final
2020-04-21 11:54:01	ga_s2am_ard_3-2-1_50KQV_2020-04-21_final
2020-04-21 11:56:41	ga_s2am_ard_3-2-1_50HLK_2020-04-21_final
2020-06-01 11:24:08	ga_s2am_ard_3-2-1_51KXQ_2020-06-01_final
2020-06-17 11:42:48	ga_s2am_ard_3-2-1_51KVV_2020-06-17_final
2020-06-30 11:56:04	ga_s2am_ard_3-2-1_50JKN_2020-06-30_final
2020-07-14 11:34:15	ga_s2am_ard_3-2-1_51KWP_2020-07-14_final
2020-07-27 11:42:48	ga_s2am_ard_3-2-1_51KVV_2020-07-27_final
2020-08-29 11:53:16	ga_s2am_ard_3-2-1_50KRC_2020-08-29_final
2020-10-15 11:42:27	ga_s2am_ard_3-2-1_51KWA_2020-10-15_final
2020-12-14 11:43:00	ga_s2am_ard_3-2-1_51KTU_2020-12-14_final
2020-12-18 11:27:05	ga_s2am_ard_3-2-1_51HTC_2020-12-18_final
2021-01-03 11:42:42	ga_s2am_ard_3-2-1_51KVV_2021-01-03_final
2021-01-07 11:24:02	ga_s2am_ard_3-2-1_51KWQ_2021-01-07_final
2021-02-28 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-02-28_final
2021-03-04 11:42:42	ga_s2am_ard_3-2-1_51KVV_2021-03-04_final
2021-03-31 11:34:01	ga_s2am_ard_3-2-1_51KVQ_2021-03-31_final
2021-04-20 11:33:55	ga_s2am_ard_3-2-1_51KVQ_2021-04-20_final
2021-04-27 11:26:55	ga_s2am_ard_3-2-1_51HVC_2021-04-27_final
2021-05-09 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-05-09_final
2021-07-12 11:42:30	ga_s2am_ard_3-2-1_51KVA_2021-07-12_final
2021-07-13 11:16:44	ga_s2am_ard_3-2-1_51HXD_2021-07-13_final
2021-07-22 11:43:21	ga_s2am_ard_3-2-1_51KTT_2021-07-22_final
2021-08-08 11:32:22	ga_s2am_ard_3-2-1_51KVB_2021-08-08_final
2021-08-17 12:05:58	ga_s2am_ard_3-2-1_50JKN_2021-08-17_final
2021-09-17 11:34:07	ga_s2am_ard_3-2-1_51KXP_2021-09-17_final
2021-09-20 11:42:16	ga_s2am_ard_3-2-1_51KVB_2021-09-20_final
2021-10-20 11:43:05	ga_s2am_ard_3-2-1_51KUU_2021-10-20_final
2021-11-16 11:32:59	ga_s2am_ard_3-2-1_51KWU_2021-11-16_final
2021-12-03 11:26:35	ga_s2am_ard_3-2-1_51HXD_2021-12-03_final
2021-12-19 11:42:46	ga_s2am_ard_3-2-1_51KUV_2021-12-19_final
2022-01-05 11:32:45	ga_s2am_ard_3-2-1_51KWV_2022-01-05_final
2022-01-18 11:42:13	ga_s2am_ard_3-2-1_51KVB_2022-01-18_final
2022-02-17 11:42:28	ga_s2am_ard_3-2-1_51KVA_2022-02-17_final
2022-05-18 11:42:22	ga_s2am_ard_3-2-1_51KUB_2022-05-18_final.stac-item
2022-06-27 11:43:09	ga_s2am_ard_3-2-1_51KVU_2022-06-27_final
2022-07-17 11:43:30	ga_s2am_ard_3-2-1_51KTT_2022-07-17_final
2022-07-20 11:55:32	ga_s2am_ard_3-2-1_50JNQ_2022-07-20_final
2022-10-06 11:17:05	ga_s2am_ard_3-2-1_51HWC_2022-10-06_final.stac-item
2022-10-15 11:43:29	ga_s2am_ard_3-2-1_51KVS_2022-10-15_final.stac-item
2023-02-13 11:16:41	ga_s2am_ard_3-2-1_51HXD_2023-02-13_final.stac-item
2023-02-19 11:32:55	ga_s2am_ard_3-2-1_51KWU_2023-02-19_final.stac-item
2023-04-10 11:37:21	ga_s2am_ard_3-2-1_50HPG_2023-04-10_final.stac-item
2023-04-27 11:24:12	ga_s2am_ard_3-2-1_51KXP_2023-04-27_final.stac-item
2023-06-06 11:25:07	ga_s2am_ard_3-2-1_51JVL_2023-06-06_final.stac-item
2023-09-27 11:33:00	ga_s2am_ard_3-2-1_51KWU_2023-09-27_final.stac-item
2023-11-16 11:33:55	ga_s2am_ard_3-2-1_51KWQ_2023-11-16_final.stac-item
2023-12-16 11:32:25	ga_s2am_ard_3-2-1_51KWA_2023-12-16_final.stac-item
2024-01-31 11:53:06	ga_s2am_ard_3-2-1_50KRC_2024-01-31_final.stac-item
2024-02-24 11:33:54	ga_s2am_ard_3-2-1_51KWQ_2024-02-24_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