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
2016-02-12 11:56:22	ga_s2am_ard_3-2-1_50HMK_2016-02-12_final.stac-item
2016-03-06 12:03:43	ga_s2am_ard_3-2-1_49KHQ_2016-03-06_final.stac-item
2016-10-12 12:03:43	ga_s2am_ard_3-2-1_50KKA_2016-10-12_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HPK_2016-10-26_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_50HNG_2016-11-02_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50KRD_2016-11-05_final.stac-item
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50KRD_2017-03-18_final
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50KQD_2017-05-17_final.stac-item
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HNK_2017-05-27_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51HXC_2017-06-27_final.stac-item
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_50HNG_2017-07-30_final.stac-item
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HPG_2017-09-01_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JGN_2017-10-07_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JHM_2017-10-07_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50JKS_2017-10-07_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50KKU_2017-10-07_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_50HQG_2017-11-27_final.stac-item
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_50KKA_2017-12-19_final
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_49KHQ_2017-12-26_final
2017-12-26 12:04:47	ga_s2am_ard_3-2-1_50JKQ_2017-12-26_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JHN_2018-01-05_final
2018-02-05 11:35:59	ga_s2am_ard_3-2-1_50JQL_2018-02-05_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JQT_2018-03-03_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JGL_2018-03-09_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JKP_2018-03-23_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51HVE_2018-04-23_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JNR_2018-05-19_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JPT_2018-05-19_final
2018-05-25 12:02:51	ga_s2am_ard_3-2-1_50KNB_2018-05-25_final
2018-05-25 12:02:51	ga_s2am_ard_3-2-1_50KNC_2018-05-25_final
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_50KPU_2018-05-29_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50JNR_2018-05-29_final
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_50JRS_2018-07-05_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JLT_2018-07-11_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50KLU_2018-07-11_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50KMC_2018-07-24_final
2018-07-31 11:48:16	ga_s2am_ard_3-2-1_50KQD_2018-07-31_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51HVE_2018-08-04_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KKU_2018-08-23_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JNQ_2018-08-27_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JPM_2018-08-27_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50HPG_2018-09-13_final.stac-item
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_51JWM_2018-09-23_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_50KPU_2018-10-06_final
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_50KRD_2018-10-16_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50JNN_2018-10-16_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JLT_2018-10-19_final
2018-10-20 11:23:51	ga_s2am_ard_3-2-1_51HUE_2018-10-20_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JNR_2018-10-26_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JPN_2018-10-26_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HNJ_2018-10-26_final
2018-11-15 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2018-11-15_final
2018-11-15 11:47:04	ga_s2am_ard_3-2-1_50HMH_2018-11-15_final
2018-12-18 11:52:23	ga_s2am_ard_3-2-1_50KQF_2018-12-18_final.stac-item
2019-01-03 12:14:15	ga_s2am_ard_3-2-1_49KHP_2019-01-03_final
2019-01-07 11:54:43	ga_s2am_ard_3-2-1_50JPS_2019-01-07_final
2019-06-23 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2019-06-23_final
2019-07-26 11:52:25	ga_s2am_ard_3-2-1_50KQG_2019-07-26_final.stac-item
2019-09-04 11:56:04	ga_s2am_ard_3-2-1_50JNM_2019-09-04_final
2020-01-02 11:52:57	ga_s2am_ard_3-2-1_50KQD_2020-01-02_final.stac-item
2020-02-14 12:03:52	ga_s2am_ard_3-2-1_49KHR_2020-02-14_final
2020-02-21 11:57:00	ga_s2am_ard_3-2-1_50HMH_2020-02-21_final
2020-03-22 11:52:59	ga_s2am_ard_3-2-1_50KQD_2020-03-22_final.stac-item
2020-04-01 11:52:55	ga_s2am_ard_3-2-1_50KRD_2020-04-01_final
2020-07-07 11:47:07	ga_s2am_ard_3-2-1_50HPH_2020-07-07_final
2020-08-06 11:46:29	ga_s2am_ard_3-2-1_50JNL_2020-08-06_final
2020-10-25 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-10-25_final.stac-item
2020-11-21 11:37:09	ga_s2am_ard_3-2-1_50HPH_2020-11-21_final
2021-01-03 11:44:10	ga_s2am_ard_3-2-1_50KPV_2021-01-03_final
2021-02-11 12:13:38	ga_s2am_ard_3-2-1_49KHS_2021-02-11_final.stac-item
2021-03-03 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-03-03_final
2021-03-10 12:04:42	ga_s2am_ard_3-2-1_49JHN_2021-03-10_final
2021-04-10 11:36:05	ga_s2am_ard_3-2-1_51JVF_2021-04-10_final
2021-04-10 11:37:01	ga_s2am_ard_3-2-1_50HPH_2021-04-10_final
2021-04-29 12:04:19	ga_s2am_ard_3-2-1_50KMU_2021-04-29_final
2021-04-29 12:05:09	ga_s2am_ard_3-2-1_50JKR_2021-04-29_final
2021-04-29 12:05:23	ga_s2am_ard_3-2-1_50JKQ_2021-04-29_final
2021-04-29 12:05:35	ga_s2am_ard_3-2-1_50JLP_2021-04-29_final
2021-05-23 11:43:04	ga_s2am_ard_3-2-1_50KRD_2021-05-23_final
2021-05-30 11:35:51	ga_s2am_ard_3-2-1_50JQN_2021-05-30_final
2021-06-08 12:04:11	ga_s2am_ard_3-2-1_50KLV_2021-06-08_final
2021-06-18 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-06-18_final
2021-06-28 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-06-28_final
2021-07-06 11:26:57	ga_s2am_ard_3-2-1_51HWC_2021-07-06_final.stac-item
2021-07-08 12:03:44	ga_s2am_ard_3-2-1_50KLB_2021-07-08_final
2021-07-08 12:06:07	ga_s2am_ard_3-2-1_50JLM_2021-07-08_final
2021-07-22 11:46:19	ga_s2am_ard_3-2-1_50JQL_2021-07-22_final
2021-07-25 11:56:21	ga_s2am_ard_3-2-1_50JNL_2021-07-25_final
2021-07-25 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2021-07-25_final
2021-08-17 12:03:36	ga_s2am_ard_3-2-1_50KNB_2021-08-17_final
2021-08-21 11:44:25	ga_s2am_ard_3-2-1_50KPU_2021-08-21_final
2022-01-07 12:14:57	ga_s2am_ard_3-2-1_49JGM_2022-01-07_final
2022-02-06 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-02-06_final
2022-06-03 12:04:50	ga_s2am_ard_3-2-1_49JHN_2022-06-03_final
2022-07-10 11:53:12	ga_s2am_ard_3-2-1_50KRD_2022-07-10_final
2022-08-02 12:03:55	ga_s2am_ard_3-2-1_49KHS_2022-08-02_final.stac-item
2022-10-08 11:57:27	ga_s2am_ard_3-2-1_50HMG_2022-10-08_final.stac-item
2023-05-09 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-05-09_final.stac-item
2023-05-26 11:53:21	ga_s2am_ard_3-2-1_50KQC_2023-05-26_final.stac-item
2023-06-05 11:52:38	ga_s2am_ard_3-2-1_50KQF_2023-06-05_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