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
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_50JPQ_2016-02-19_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JMT_2016-05-22_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JMT_2016-11-28_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JNR_2016-11-28_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KHP_2016-12-21_final
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50JLT_2016-12-21_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50JQQ_2016-12-25_final
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50JMT_2016-12-28_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JMT_2017-01-07_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50JPP_2017-03-25_final
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_50HQG_2017-05-31_final.stac-item
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_50HQJ_2017-05-31_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JMT_2017-07-16_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KHP_2017-11-26_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLK_2017-12-03_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JNS_2017-12-03_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_50JLT_2017-12-16_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JQQ_2017-12-30_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JNS_2018-01-12_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HNG_2018-03-20_final.stac-item
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JNR_2018-10-19_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JNR_2018-10-29_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_50JLT_2018-11-01_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HQK_2018-11-02_final
2018-11-18 11:54:31	ga_s2am_ard_3-2-1_50JNT_2018-11-18_final
2019-01-20 12:04:36	ga_s2am_ard_3-2-1_50JLT_2019-01-20_final
2019-02-06 11:55:06	ga_s2am_ard_3-2-1_50JMR_2019-02-06_final
2019-02-06 11:55:21	ga_s2am_ard_3-2-1_50JMQ_2019-02-06_final
2019-03-01 12:04:23	ga_s2am_ard_3-2-1_49KHP_2019-03-01_final
2019-03-05 11:45:59	ga_s2am_ard_3-2-1_50JPM_2019-03-05_final
2019-03-08 11:56:20	ga_s2am_ard_3-2-1_50JLL_2019-03-08_final
2019-03-24 12:13:57	ga_s2am_ard_3-2-1_49KGR_2019-03-24_final
2019-05-31 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2019-05-31_final
2019-07-16 11:54:42	ga_s2am_ard_3-2-1_50JNT_2019-07-16_final
2019-09-21 11:45:18	ga_s2am_ard_3-2-1_50JQQ_2019-09-21_final
2019-10-28 11:37:06	ga_s2am_ard_3-2-1_50HQH_2019-10-28_final
2019-11-16 12:04:41	ga_s2am_ard_3-2-1_50JLT_2019-11-16_final
2019-11-16 12:04:44	ga_s2am_ard_3-2-1_49JHN_2019-11-16_final
2019-11-16 12:04:44	ga_s2am_ard_3-2-1_50JKT_2019-11-16_final
2019-11-20 11:45:22	ga_s2am_ard_3-2-1_50JPQ_2019-11-20_final
2019-11-26 12:04:42	ga_s2am_ard_3-2-1_49JHN_2019-11-26_final
2019-11-30 11:45:17	ga_s2am_ard_3-2-1_50JQQ_2019-11-30_final
2019-11-30 11:45:20	ga_s2am_ard_3-2-1_50JPQ_2019-11-30_final
2019-12-06 12:05:56	ga_s2am_ard_3-2-1_49JGH_2019-12-06_final.stac-item
2019-12-13 11:54:50	ga_s2am_ard_3-2-1_50JMS_2019-12-13_final
2019-12-16 12:04:34	ga_s2am_ard_3-2-1_50JLT_2019-12-16_final
2019-12-26 12:04:37	ga_s2am_ard_3-2-1_50JKT_2019-12-26_final
2020-01-09 11:45:26	ga_s2am_ard_3-2-1_50JQP_2020-01-09_final
2020-02-08 11:45:28	ga_s2am_ard_3-2-1_50JPP_2020-02-08_final
2020-02-11 11:55:17	ga_s2am_ard_3-2-1_50JMQ_2020-02-11_final
2020-02-27 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2020-02-27_final
2020-05-31 11:55:12	ga_s2am_ard_3-2-1_50JNR_2020-05-31_final
2020-06-10 11:55:12	ga_s2am_ard_3-2-1_50JNR_2020-06-10_final
2020-06-17 11:45:24	ga_s2am_ard_3-2-1_50JQQ_2020-06-17_final
2020-06-30 11:54:45	ga_s2am_ard_3-2-1_50JMT_2020-06-30_final
2020-07-10 11:54:41	ga_s2am_ard_3-2-1_50JNT_2020-07-10_final
2020-10-05 11:45:23	ga_s2am_ard_3-2-1_50JQQ_2020-10-05_final
2020-10-08 11:55:15	ga_s2am_ard_3-2-1_50JMR_2020-10-08_final
2020-10-18 11:54:46	ga_s2am_ard_3-2-1_50JMT_2020-10-18_final
2020-10-28 11:55:15	ga_s2am_ard_3-2-1_50JMR_2020-10-28_final
2020-11-07 11:55:14	ga_s2am_ard_3-2-1_50JMR_2020-11-07_final
2020-11-14 11:45:21	ga_s2am_ard_3-2-1_50JQQ_2020-11-14_final
2020-11-17 11:56:43	ga_s2am_ard_3-2-1_50HLK_2020-11-17_final
2020-11-27 11:55:10	ga_s2am_ard_3-2-1_50JMR_2020-11-27_final
2020-11-30 12:04:42	ga_s2am_ard_3-2-1_50JKT_2020-11-30_final
2020-12-07 11:54:35	ga_s2am_ard_3-2-1_50JNT_2020-12-07_final
2021-09-30 11:45:22	ga_s2am_ard_3-2-1_50JQQ_2021-09-30_final
2021-10-10 11:45:23	ga_s2am_ard_3-2-1_50JQQ_2021-10-10_final
2021-10-30 11:45:22	ga_s2am_ard_3-2-1_50JQQ_2021-10-30_final
2021-11-02 11:54:41	ga_s2am_ard_3-2-1_50JNT_2021-11-02_final
2021-11-12 11:54:39	ga_s2am_ard_3-2-1_50JNT_2021-11-12_final
2021-12-09 11:45:16	ga_s2am_ard_3-2-1_50JQQ_2021-12-09_final
2022-01-21 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2022-01-21_final
2022-01-31 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2022-01-31_final
2022-02-10 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2022-02-10_final
2022-03-19 11:47:24	ga_s2am_ard_3-2-1_50HNG_2022-03-19_final.stac-item
2022-05-11 11:55:28	ga_s2am_ard_3-2-1_50JMQ_2022-05-11_final
2022-09-08 11:55:03	ga_s2am_ard_3-2-1_50JNS_2022-09-08_final.stac-item
2023-01-13 11:45:19	ga_s2am_ard_3-2-1_50JPQ_2023-01-13_final.stac-item
2023-05-29 12:04:46	ga_s2am_ard_3-2-1_49JHN_2023-05-29_final.stac-item
2023-09-20 11:45:34	ga_s2am_ard_3-2-1_50JQP_2023-09-20_final.stac-item
2023-11-15 12:04:38	ga_s2am_ard_3-2-1_50JLT_2023-11-15_final.stac-item
2023-11-22 11:54:33	ga_s2am_ard_3-2-1_50JNT_2023-11-22_final.stac-item
2023-11-25 12:04:37	ga_s2am_ard_3-2-1_49JHN_2023-11-25_final.stac-item
2023-12-02 11:54:29	ga_s2am_ard_3-2-1_50JNT_2023-12-02_final.stac-item
2023-12-12 11:54:32	ga_s2am_ard_3-2-1_50JNT_2023-12-12_final.stac-item
2023-12-15 12:04:35	ga_s2am_ard_3-2-1_50JLT_2023-12-15_final.stac-item
2023-12-25 12:04:25	ga_s2am_ard_3-2-1_49KHP_2023-12-25_final.stac-item
2024-01-04 12:04:24	ga_s2am_ard_3-2-1_49KHP_2024-01-04_final.stac-item
2024-01-14 12:04:21	ga_s2am_ard_3-2-1_49KHP_2024-01-14_final.stac-item
2024-01-14 12:04:36	ga_s2am_ard_3-2-1_49JHN_2024-01-14_final.stac-item
2024-01-31 11:56:53	ga_s2am_ard_3-2-1_50HKJ_2024-01-31_final.stac-item
2024-02-10 11:54:51	ga_s2am_ard_3-2-1_50JMS_2024-02-10_final.stac-item
2024-02-13 12:04:37	ga_s2am_ard_3-2-1_50JLT_2024-02-13_final.stac-item
2024-02-20 11:55:22	ga_s2am_ard_3-2-1_50JMQ_2024-02-20_final.stac-item
2024-04-03 12:05:27	ga_s2am_ard_3-2-1_49JGK_2024-04-03_final.stac-item
2024-04-06 12:14:29	ga_s2am_ard_3-2-1_49KFP_2024-04-06_nrt.stac-item
2024-04-16 12:13:50	ga_s2am_ard_3-2-1_49KFS_2024-04-16_nrt.stac-item
2024-04-20 11:57:16	ga_s2am_ard_3-2-1_50HKH_2024-04-20_nrt.stac-item
2024-05-20 11:55:57	ga_s2am_ard_3-2-1_50JLN_2024-05-20_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