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
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_49KHR_2015-12-27_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KVT_2016-05-16_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLT_2016-05-22_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50KPV_2016-05-29_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KHS_2016-07-14_final.stac-item
2016-10-12 12:03:43	ga_s2am_ard_3-2-1_50KLA_2016-10-12_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HPH_2016-10-26_final.stac-item
2016-11-06 11:14:16	ga_s2am_ard_3-2-1_51HWC_2016-11-06_final.stac-item
2016-11-09 11:26:07	ga_s2am_ard_3-2-1_51JXF_2016-11-09_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KWT_2017-01-01_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51KVR_2017-02-10_final
2017-03-25 11:38:25	ga_s2am_ard_3-2-1_51KUT_2017-03-25_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HLK_2017-05-27_final
2017-05-31 11:28:39	ga_s2am_ard_3-2-1_51KVU_2017-05-31_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JHN_2017-10-07_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JKT_2017-10-07_final
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_50KLV_2017-12-26_final
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JKS_2017-12-26_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HPG_2018-04-29_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JKP_2018-05-22_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKT_2018-05-25_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50JKN_2018-06-11_final
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_51KUU_2018-07-08_final
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_51KUU_2018-08-07_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_51KVT_2018-08-17_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JNR_2018-08-27_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JPS_2018-08-27_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50KPU_2018-08-27_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPG_2018-09-03_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HNG_2018-09-06_final.stac-item
2018-09-07 11:13:22	ga_s2am_ard_3-2-1_51HWC_2018-09-07_final.stac-item
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-10-05_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_50KKV_2018-10-05_final
2018-10-10 11:24:31	ga_s2am_ard_3-2-1_51JUF_2018-10-10_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51JVF_2018-10-13_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HPK_2018-10-26_final
2018-11-22 11:33:06	ga_s2am_ard_3-2-1_51KWT_2018-11-22_final
2018-11-25 11:42:49	ga_s2am_ard_3-2-1_51KVU_2018-11-25_final
2018-12-12 11:33:37	ga_s2am_ard_3-2-1_51KVR_2018-12-12_final
2018-12-25 11:47:07	ga_s2am_ard_3-2-1_50HLH_2018-12-25_final
2019-01-01 11:33:24	ga_s2am_ard_3-2-1_51KVS_2019-01-01_final
2019-01-07 11:54:39	ga_s2am_ard_3-2-1_50JLT_2019-01-07_final
2019-05-04 11:43:00	ga_s2am_ard_3-2-1_51KVU_2019-05-04_final
2019-06-23 11:43:33	ga_s2am_ard_3-2-1_51KUS_2019-06-23_final
2019-07-07 11:24:03	ga_s2am_ard_3-2-1_51KWQ_2019-07-07_final
2019-07-13 11:42:22	ga_s2am_ard_3-2-1_51KUB_2019-07-13_final.stac-item
2019-08-19 11:37:20	ga_s2am_ard_3-2-1_50HQG_2019-08-19_final.stac-item
2019-10-28 11:33:16	ga_s2am_ard_3-2-1_51KWT_2019-10-28_final
2019-11-27 11:33:34	ga_s2am_ard_3-2-1_51KUS_2019-11-27_final
2020-01-29 11:42:53	ga_s2am_ard_3-2-1_51KUU_2020-01-29_final
2020-01-29 11:43:10	ga_s2am_ard_3-2-1_51KUT_2020-01-29_final
2020-02-11 11:56:18	ga_s2am_ard_3-2-1_50JLL_2020-02-11_final
2020-02-15 11:32:51	ga_s2am_ard_3-2-1_51KWU_2020-02-15_final
2020-03-09 11:43:14	ga_s2am_ard_3-2-1_51KTT_2020-03-09_final
2020-03-29 11:42:38	ga_s2am_ard_3-2-1_51KVV_2020-03-29_final
2020-04-08 11:42:58	ga_s2am_ard_3-2-1_51KUU_2020-04-08_final
2020-04-21 11:56:15	ga_s2am_ard_3-2-1_50JKM_2020-04-21_final
2020-04-28 11:42:59	ga_s2am_ard_3-2-1_51KVU_2020-04-28_final
2020-05-08 11:46:38	ga_s2am_ard_3-2-1_50HPK_2020-05-08_final
2020-07-10 11:53:15	ga_s2am_ard_3-2-1_50KRC_2020-07-10_final
2020-08-23 11:37:32	ga_s2am_ard_3-2-1_50HNG_2020-08-23_final.stac-item
2020-09-02 11:33:27	ga_s2am_ard_3-2-1_51KUT_2020-09-02_final
2020-09-15 11:43:04	ga_s2am_ard_3-2-1_51KUU_2020-09-15_final
2020-12-14 11:42:14	ga_s2am_ard_3-2-1_51KUB_2020-12-14_final.stac-item
2021-03-07 11:56:18	ga_s2am_ard_3-2-1_50JNL_2021-03-07_final
2021-03-11 11:33:01	ga_s2am_ard_3-2-1_51KVU_2021-03-11_final
2021-03-27 11:57:21	ga_s2am_ard_3-2-1_50HLG_2021-03-27_final.stac-item
2021-04-03 11:47:07	ga_s2am_ard_3-2-1_50HMH_2021-04-03_final
2021-04-29 12:05:38	ga_s2am_ard_3-2-1_50JKP_2021-04-29_final
2021-05-30 11:32:59	ga_s2am_ard_3-2-1_51KWU_2021-05-30_final
2021-06-19 11:34:00	ga_s2am_ard_3-2-1_51KVQ_2021-06-19_final
2021-07-09 11:33:48	ga_s2am_ard_3-2-1_51KVR_2021-07-09_final
2021-07-18 12:04:31	ga_s2am_ard_3-2-1_50KKU_2021-07-18_final
2021-07-28 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2021-07-28_final
2021-08-17 12:03:43	ga_s2am_ard_3-2-1_50KLB_2021-08-17_final
2021-08-18 11:33:25	ga_s2am_ard_3-2-1_51KUT_2021-08-18_final
2021-08-21 11:42:30	ga_s2am_ard_3-2-1_51KVA_2021-08-21_final
2021-09-30 11:43:22	ga_s2am_ard_3-2-1_51KTT_2021-09-30_final
2021-11-26 11:33:45	ga_s2am_ard_3-2-1_51KVR_2021-11-26_final
2022-01-15 11:33:31	ga_s2am_ard_3-2-1_51KVS_2022-01-15_final
2022-02-16 12:13:40	ga_s2am_ard_3-2-1_49KHS_2022-02-16_final.stac-item
2022-02-17 11:43:04	ga_s2am_ard_3-2-1_51KTU_2022-02-17_final
2022-03-26 11:33:48	ga_s2am_ard_3-2-1_51KVR_2022-03-26_final
2022-06-14 11:33:08	ga_s2am_ard_3-2-1_51KWU_2022-06-14_final
2022-07-28 11:16:46	ga_s2am_ard_3-2-1_51HYD_2022-07-28_final
2022-08-16 11:43:37	ga_s2am_ard_3-2-1_51KVS_2022-08-16_final
2022-09-09 11:26:55	ga_s2am_ard_3-2-1_51HVD_2022-09-09_final.stac-item
2022-09-14 12:13:50	ga_s2am_ard_3-2-1_49KHS_2022-09-14_final.stac-item
2022-10-22 11:33:15	ga_s2am_ard_3-2-1_51KWT_2022-10-22_final.stac-item
2022-10-22 11:33:24	ga_s2am_ard_3-2-1_51KUT_2022-10-22_final.stac-item
2022-11-14 11:43:27	ga_s2am_ard_3-2-1_51KVS_2022-11-14_final.stac-item
2022-12-14 11:47:24	ga_s2am_ard_3-2-1_50HMG_2022-12-14_final.stac-item
2023-02-09 11:33:55	ga_s2am_ard_3-2-1_51KWQ_2023-02-09_final.stac-item
2023-03-14 11:42:42	ga_s2am_ard_3-2-1_51KUV_2023-03-14_final.stac-item
2023-03-31 11:36:56	ga_s2am_ard_3-2-1_51HUC_2023-03-31_final.stac-item
2023-04-20 11:34:14	ga_s2am_ard_3-2-1_51JXN_2023-04-20_final.stac-item
2023-06-29 11:33:46	ga_s2am_ard_3-2-1_51KWR_2023-06-29_final.stac-item
2024-01-15 11:33:20	ga_s2am_ard_3-2-1_51KWS_2024-01-15_final.stac-item
2024-03-08 11:43:12	ga_s2am_ard_3-2-1_51KVT_2024-03-08_final.stac-item
2024-04-07 11:43:15	ga_s2am_ard_3-2-1_51KVT_2024-04-07_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