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
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_51HWC_2015-10-23_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50HNG_2016-02-19_final.stac-item
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_51HYD_2016-04-27_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51HVE_2016-09-13_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HNJ_2016-10-26_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JWH_2017-01-08_final
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51JXN_2017-01-31_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50KMC_2017-03-31_final.stac-item
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50KMC_2017-07-29_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JGL_2017-10-07_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51JXG_2017-11-14_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_50JKP_2018-01-05_final
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JXN_2018-01-13_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50JQN_2018-05-26_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51JYK_2018-06-09_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50JPL_2018-07-05_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_50KKB_2018-08-26_final
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_51JXF_2018-10-27_final
2019-01-20 12:03:16	ga_s2am_ard_3-2-1_50KNC_2019-01-20_final
2019-01-30 12:03:41	ga_s2am_ard_3-2-1_50KKB_2019-01-30_final
2019-03-12 11:33:29	ga_s2am_ard_3-2-1_51KUS_2019-03-12_final
2019-04-11 11:36:30	ga_s2am_ard_3-2-1_51HUE_2019-04-11_final
2019-04-15 11:15:27	ga_s2am_ard_3-2-1_51JYJ_2019-04-15_final
2019-05-30 12:03:47	ga_s2am_ard_3-2-1_50KKB_2019-05-30_final
2019-06-13 11:45:42	ga_s2am_ard_3-2-1_50JNP_2019-06-13_final
2019-06-20 11:34:07	ga_s2am_ard_3-2-1_51KUQ_2019-06-20_final
2019-07-20 11:37:06	ga_s2am_ard_3-2-1_51HTC_2019-07-20_final
2019-09-05 11:27:01	ga_s2am_ard_3-2-1_51HUC_2019-09-05_final
2019-12-04 11:24:53	ga_s2am_ard_3-2-1_51JXL_2019-12-04_final
2019-12-07 11:36:49	ga_s2am_ard_3-2-1_51HTD_2019-12-07_final
2019-12-14 11:26:57	ga_s2am_ard_3-2-1_51HUC_2019-12-14_final
2020-01-29 11:43:36	ga_s2am_ard_3-2-1_51KUR_2020-01-29_final
2020-02-04 12:03:15	ga_s2am_ard_3-2-1_50KMC_2020-02-04_final
2020-03-16 11:36:07	ga_s2am_ard_3-2-1_51JVF_2020-03-16_final
2020-03-30 11:14:25	ga_s2am_ard_3-2-1_51JYN_2020-03-30_final
2020-04-18 11:45:55	ga_s2am_ard_3-2-1_51JTG_2020-04-18_final
2020-05-02 11:25:31	ga_s2am_ard_3-2-1_51JWJ_2020-05-02_final
2020-05-04 12:05:41	ga_s2am_ard_3-2-1_50JLP_2020-05-04_final
2020-05-15 11:34:53	ga_s2am_ard_3-2-1_51JVL_2020-05-15_final
2020-05-18 11:44:03	ga_s2am_ard_3-2-1_51KUQ_2020-05-18_final
2020-07-01 11:27:03	ga_s2am_ard_3-2-1_51HVC_2020-07-01_final
2020-07-10 11:52:24	ga_s2am_ard_3-2-1_50KQG_2020-07-10_final.stac-item
2020-07-14 11:37:07	ga_s2am_ard_3-2-1_50HQH_2020-07-14_final
2020-07-17 11:42:21	ga_s2am_ard_3-2-1_51KUB_2020-07-17_final.stac-item
2020-07-27 11:43:09	ga_s2am_ard_3-2-1_51KTU_2020-07-27_final
2020-08-09 11:53:27	ga_s2am_ard_3-2-1_50KPC_2020-08-09_final
2020-08-16 11:46:25	ga_s2am_ard_3-2-1_50JPL_2020-08-16_final
2020-09-01 12:04:36	ga_s2am_ard_3-2-1_49KGP_2020-09-01_final
2020-12-10 12:04:45	ga_s2am_ard_3-2-1_50JMS_2020-12-10_final
2020-12-18 11:24:17	ga_s2am_ard_3-2-1_51JZN_2020-12-18_final
2020-12-20 12:03:57	ga_s2am_ard_3-2-1_49KHR_2020-12-20_final
2021-01-10 11:36:43	ga_s2am_ard_3-2-1_51HUD_2021-01-10_final
2021-01-19 12:03:45	ga_s2am_ard_3-2-1_50KKB_2021-01-19_final
2021-02-02 11:45:29	ga_s2am_ard_3-2-1_51JTJ_2021-02-02_final
2021-02-19 11:36:57	ga_s2am_ard_3-2-1_51HUC_2021-02-19_final
2021-02-22 11:43:03	ga_s2am_ard_3-2-1_51KTU_2021-02-22_final
2021-02-28 12:03:26	ga_s2am_ard_3-2-1_50KLC_2021-02-28_final
2021-03-20 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-03-20_final
2021-04-03 11:47:07	ga_s2am_ard_3-2-1_50HMH_2021-04-03_final
2021-04-17 11:25:00	ga_s2am_ard_3-2-1_51JYK_2021-04-17_final
2021-09-07 11:34:40	ga_s2am_ard_3-2-1_51JWM_2021-09-07_final
2021-10-07 11:34:08	ga_s2am_ard_3-2-1_51KUQ_2021-10-07_final
2021-11-10 11:15:32	ga_s2am_ard_3-2-1_51JXJ_2021-11-10_final
2021-11-13 11:27:00	ga_s2am_ard_3-2-1_51HVC_2021-11-13_final
2021-11-25 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-11-25_final
2021-11-26 11:37:15	ga_s2am_ard_3-2-1_50HQG_2021-11-26_final.stac-item
2021-12-02 11:57:05	ga_s2am_ard_3-2-1_50HMH_2021-12-02_final
2021-12-03 11:24:29	ga_s2am_ard_3-2-1_51JWN_2021-12-03_final
2022-01-01 11:53:12	ga_s2am_ard_3-2-1_50KRC_2022-01-01_final
2022-02-14 11:34:49	ga_s2am_ard_3-2-1_51JTM_2022-02-14_final
2022-02-14 11:37:01	ga_s2am_ard_3-2-1_51HTC_2022-02-14_final
2022-02-20 11:52:21	ga_s2am_ard_3-2-1_50KQG_2022-02-20_final.stac-item
2022-03-05 12:03:48	ga_s2am_ard_3-2-1_50KKB_2022-03-05_final
2022-03-25 12:03:47	ga_s2am_ard_3-2-1_50KKB_2022-03-25_final
2022-04-02 11:26:02	ga_s2am_ard_3-2-1_51JVG_2022-04-02_final
2022-04-08 11:43:59	ga_s2am_ard_3-2-1_51KUQ_2022-04-08_final
2022-07-01 11:26:42	ga_s2am_ard_3-2-1_51HVE_2022-07-01_final
2022-07-23 12:04:39	ga_s2am_ard_3-2-1_50KKU_2022-07-23_final
2022-08-09 11:56:11	ga_s2am_ard_3-2-1_50JKN_2022-08-09_final
2022-09-15 11:46:32	ga_s2am_ard_3-2-1_50JNL_2022-09-15_final.stac-item
2022-09-29 11:24:44	ga_s2am_ard_3-2-1_51JYM_2022-09-29_final.stac-item
2022-10-31 12:05:57	ga_s2am_ard_3-2-1_50JKN_2022-10-31_final.stac-item
2022-12-07 11:53:25	ga_s2am_ard_3-2-1_50KNC_2022-12-07_final.stac-item
2023-02-22 11:43:19	ga_s2am_ard_3-2-1_50KQC_2023-02-22_final.stac-item
2023-03-13 12:14:27	ga_s2am_ard_3-2-1_49KFP_2023-03-13_nrt.stac-item
2023-03-27 11:52:32	ga_s2am_ard_3-2-1_50KQF_2023-03-27_final.stac-item
2023-03-28 11:24:57	ga_s2am_ard_3-2-1_51JWL_2023-03-28_final.stac-item
2023-03-31 11:36:41	ga_s2am_ard_3-2-1_51HUD_2023-03-31_final.stac-item
2023-04-13 11:44:16	ga_s2am_ard_3-2-1_51KTP_2023-04-13_final.stac-item
2023-06-05 11:56:26	ga_s2am_ard_3-2-1_50JML_2023-06-05_final.stac-item
2023-06-12 11:42:20	ga_s2am_ard_3-2-1_51KUB_2023-06-12_final.stac-item
2023-06-13 11:15:29	ga_s2am_ard_3-2-1_51JYJ_2023-06-13_final.stac-item
2023-08-25 11:24:25	ga_s2am_ard_3-2-1_51JZN_2023-08-25_final.stac-item
2023-11-16 11:33:46	ga_s2am_ard_3-2-1_51KUR_2023-11-16_final.stac-item
2023-11-26 11:33:57	ga_s2am_ard_3-2-1_51KUQ_2023-11-26_final.stac-item
2023-12-06 11:34:19	ga_s2am_ard_3-2-1_51JWN_2023-12-06_final.stac-item
2023-12-18 12:13:50	ga_s2am_ard_3-2-1_50KKA_2023-12-18_final.stac-item
2024-01-29 11:14:51	ga_s2am_ard_3-2-1_51JYL_2024-01-29_final.stac-item
2024-03-11 11:55:53	ga_s2am_ard_3-2-1_50JMN_2024-03-11_final.stac-item
2024-03-24 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2024-03-24_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