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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JYL_2015-11-25_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50HMJ_2016-01-20_final.stac-item
2016-01-26 12:04:01	ga_s2am_ard_3-2-1_50KMA_2016-01-26_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51JVJ_2016-03-07_final.stac-item
2016-04-18 12:14:43	ga_s2am_ard_3-2-1_49JFM_2016-04-18_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50KPU_2016-07-01_final.stac-item
2016-08-11 11:22:31	ga_s2am_ard_3-2-1_51KZR_2016-08-11_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JLN_2016-10-09_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JVJ_2017-01-18_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JXJ_2017-01-18_final
2017-02-10 11:26:14	ga_s2am_ard_3-2-1_51KYA_2017-02-10_final
2017-03-26 11:11:44	ga_s2am_ard_3-2-1_51HWD_2017-03-26_final
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50JKM_2017-04-20_final.stac-item
2017-05-12 11:03:02	ga_s2am_ard_3-2-1_52JDL_2017-05-12_final
2017-08-06 11:22:11	ga_s2am_ard_3-2-1_51KXS_2017-08-06_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KVR_2017-11-07_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51HYE_2018-02-19_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_52JBQ_2018-02-19_final
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51KUT_2018-02-28_final
2018-03-01 11:11:47	ga_s2am_ard_3-2-1_51JXF_2018-03-01_final
2018-04-03 11:16:59	ga_s2am_ard_3-2-1_51KXU_2018-04-03_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JGK_2018-08-03_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50JPM_2018-08-07_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50JQM_2018-11-05_final
2018-11-19 11:26:22	ga_s2am_ard_3-2-1_51HUE_2018-11-19_final
2019-01-11 11:32:50	ga_s2am_ard_3-2-1_51KXU_2019-01-11_final
2019-01-15 11:16:01	ga_s2am_ard_3-2-1_52JBL_2019-01-15_final
2019-01-18 11:23:24	ga_s2am_ard_3-2-1_51KXS_2019-01-18_final
2019-01-24 11:46:09	ga_s2am_ard_3-2-1_50JMM_2019-01-24_final
2019-02-02 12:13:51	ga_s2am_ard_3-2-1_49KHR_2019-02-02_final
2019-03-05 11:44:58	ga_s2am_ard_3-2-1_50JQR_2019-03-05_final
2019-06-04 11:15:53	ga_s2am_ard_3-2-1_52JBM_2019-06-04_final
2019-07-03 11:46:39	ga_s2am_ard_3-2-1_50HPK_2019-07-03_final
2019-08-09 11:37:05	ga_s2am_ard_3-2-1_51HTC_2019-08-09_final
2019-10-12 11:16:25	ga_s2am_ard_3-2-1_51HYE_2019-10-12_final
2019-10-28 11:33:41	ga_s2am_ard_3-2-1_51KXR_2019-10-28_final
2019-10-28 11:37:20	ga_s2am_ard_3-2-1_50HQG_2019-10-28_final.stac-item
2019-11-01 11:15:25	ga_s2am_ard_3-2-1_52JBP_2019-11-01_final
2019-11-27 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2019-11-27_final
2019-11-27 11:34:17	ga_s2am_ard_3-2-1_51KUP_2019-11-27_final
2019-12-16 12:06:04	ga_s2am_ard_3-2-1_50JKM_2019-12-16_final
2020-01-02 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2020-01-02_final
2020-05-24 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-05-24_final
2020-06-01 11:24:10	ga_s2am_ard_3-2-1_51KWQ_2020-06-01_final
2020-06-01 11:27:04	ga_s2am_ard_3-2-1_51HVC_2020-06-01_final
2020-07-07 11:42:03	ga_s2am_ard_3-2-1_51LVC_2020-07-07_final
2020-08-06 11:46:54	ga_s2am_ard_3-2-1_50HPJ_2020-08-06_final
2020-08-30 11:23:18	ga_s2am_ard_3-2-1_51KXT_2020-08-30_final
2020-10-16 11:16:11	ga_s2am_ard_3-2-1_52JBL_2020-10-16_final
2020-11-04 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-11-04_final
2020-11-25 11:14:33	ga_s2am_ard_3-2-1_52JDS_2020-11-25_final
2020-12-15 11:16:00	ga_s2am_ard_3-2-1_52JCL_2020-12-15_final
2021-02-03 11:15:39	ga_s2am_ard_3-2-1_51JYH_2021-02-03_final
2021-02-05 11:53:42	ga_s2am_ard_3-2-1_50KMB_2021-02-05_final
2021-02-12 11:43:13	ga_s2am_ard_3-2-1_51KUT_2021-02-12_final
2021-05-06 11:56:24	ga_s2am_ard_3-2-1_50JLL_2021-05-06_final
2021-05-24 11:14:53	ga_s2am_ard_3-2-1_52JBR_2021-05-24_final
2021-06-02 11:43:48	ga_s2am_ard_3-2-1_50KRA_2021-06-02_final
2021-06-29 11:36:59	ga_s2am_ard_3-2-1_51HUC_2021-06-29_final
2021-08-01 11:45:47	ga_s2am_ard_3-2-1_51JTH_2021-08-01_final
2021-08-31 11:46:27	ga_s2am_ard_3-2-1_50JML_2021-08-31_final
2021-10-20 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2021-10-20_final
2021-10-30 11:43:23	ga_s2am_ard_3-2-1_51KTT_2021-10-30_final
2021-11-19 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-11-19_final
2021-12-04 10:55:16	ga_s2am_ard_3-2-1_52JFP_2021-12-04_final
2021-12-05 12:06:09	ga_s2am_ard_3-2-1_50JKM_2021-12-05_final
2022-01-25 11:32:20	ga_s2am_ard_3-2-1_51KVB_2022-01-25_final
2022-01-28 11:43:11	ga_s2am_ard_3-2-1_51KVT_2022-01-28_final
2022-03-25 12:04:49	ga_s2am_ard_3-2-1_49JGN_2022-03-25_final
2022-04-01 11:55:44	ga_s2am_ard_3-2-1_50JLP_2022-04-01_final
2022-05-22 11:23:17	ga_s2am_ard_3-2-1_51KYT_2022-05-22_final
2022-06-01 11:22:17	ga_s2am_ard_3-2-1_51KZB_2022-06-01_final
2022-06-11 11:23:10	ga_s2am_ard_3-2-1_51KXU_2022-06-11_final
2022-06-11 11:25:52	ga_s2am_ard_3-2-1_51JWH_2022-06-11_final
2022-07-07 11:46:56	ga_s2am_ard_3-2-1_50HQJ_2022-07-07_final
2022-07-21 11:25:32	ga_s2am_ard_3-2-1_51JYJ_2022-07-21_final
2022-09-05 11:46:38	ga_s2am_ard_3-2-1_50JML_2022-09-05_final.stac-item
2022-10-12 11:37:06	ga_s2am_ard_3-2-1_51HTC_2022-10-12_final.stac-item
2022-11-04 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-11-04_final.stac-item
2023-03-31 11:34:56	ga_s2am_ard_3-2-1_51JVL_2023-03-31_final.stac-item
2023-05-10 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2023-05-10_final.stac-item
2023-05-12 12:14:40	ga_s2am_ard_3-2-1_49JGN_2023-05-12_final.stac-item
2023-06-10 11:06:14	ga_s2am_ard_3-2-1_52JBL_2023-06-10_final.stac-item
2023-06-15 11:56:22	ga_s2am_ard_3-2-1_50JNL_2023-06-15_final.stac-item
2023-06-18 12:04:47	ga_s2am_ard_3-2-1_49JHN_2023-06-18_final.stac-item
2023-06-19 11:35:20	ga_s2am_ard_3-2-1_51JUK_2023-06-19_final.stac-item
2023-06-30 11:05:02	ga_s2am_ard_3-2-1_52JFQ_2023-06-30_final.stac-item
2023-07-15 11:57:17	ga_s2am_ard_3-2-1_50HKH_2023-07-15_nrt.stac-item
2023-07-19 11:36:16	ga_s2am_ard_3-2-1_51JUF_2023-07-19_final.stac-item
2023-08-07 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2023-08-07_final.stac-item
2023-09-07 11:36:37	ga_s2am_ard_3-2-1_51HTE_2023-09-07_final.stac-item
2023-11-12 11:55:52	ga_s2am_ard_3-2-1_50JMN_2023-11-12_final.stac-item
2024-01-25 11:34:26	ga_s2am_ard_3-2-1_51JUN_2024-01-25_final.stac-item
2024-02-04 11:37:02	ga_s2am_ard_3-2-1_50HPH_2024-02-04_final.stac-item
2024-03-05 11:35:08	ga_s2am_ard_3-2-1_51JWK_2024-03-05_final.stac-item
2024-03-16 11:05:52	ga_s2am_ard_3-2-1_52JCM_2024-03-16_final.stac-item
2024-03-22 11:23:14	ga_s2am_ard_3-2-1_51KXT_2024-03-22_final.stac-item
2024-04-21 11:24:17	ga_s2am_ard_3-2-1_51JZN_2024-04-21_final.stac-item
2024-04-27 11:43:17	ga_s2am_ard_3-2-1_51KUT_2024-04-27_final.stac-item
2024-05-21 11:23:36	ga_s2am_ard_3-2-1_51KZR_2024-05-21_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