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
2016-01-29 12:13:40	ga_s2am_ard_3-2-1_49KHR_2016-01-29_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51KWR_2016-05-16_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_50KKB_2016-07-17_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52JBN_2016-07-29_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49JGK_2016-12-11_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52JDT_2017-01-25_final
2017-02-07 11:26:03	ga_s2am_ard_3-2-1_51HXE_2017-02-07_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_51KWU_2017-02-10_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51HVC_2017-10-05_final
2017-12-09 12:14:36	ga_s2am_ard_3-2-1_49JGN_2017-12-09_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KXQ_2018-01-06_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50JPM_2018-02-08_final
2018-02-23 10:53:12	ga_s2am_ard_3-2-1_52JFN_2018-02-23_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_50KKA_2018-03-09_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51KXQ_2018-03-27_final
2018-04-13 11:20:51	ga_s2am_ard_3-2-1_51KZS_2018-04-13_final
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KUT_2018-05-26_final
2018-06-22 11:20:28	ga_s2am_ard_3-2-1_51KYR_2018-06-22_final
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_51JTH_2018-08-07_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_51KVT_2018-08-17_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51KVU_2018-10-03_final
2018-11-25 11:42:05	ga_s2am_ard_3-2-1_51KVB_2018-11-25_final
2018-12-12 11:36:52	ga_s2am_ard_3-2-1_50HPH_2018-12-12_final
2019-01-11 11:33:52	ga_s2am_ard_3-2-1_51KWQ_2019-01-11_final
2019-01-14 11:43:11	ga_s2am_ard_3-2-1_51KUT_2019-01-14_final
2019-02-27 11:23:23	ga_s2am_ard_3-2-1_51KXS_2019-02-27_final
2019-03-02 11:33:43	ga_s2am_ard_3-2-1_51KUR_2019-03-02_final
2019-03-12 11:32:59	ga_s2am_ard_3-2-1_51KYT_2019-03-12_final
2019-05-15 11:15:25	ga_s2am_ard_3-2-1_52JBP_2019-05-15_final
2019-07-20 11:33:50	ga_s2am_ard_3-2-1_51KVR_2019-07-20_final
2019-08-12 11:42:58	ga_s2am_ard_3-2-1_51KVU_2019-08-12_final
2019-09-01 11:42:46	ga_s2am_ard_3-2-1_51KUV_2019-09-01_final
2019-09-15 11:23:56	ga_s2am_ard_3-2-1_51KXQ_2019-09-15_final
2019-10-31 11:42:49	ga_s2am_ard_3-2-1_51KUV_2019-10-31_final
2020-01-13 11:22:55	ga_s2am_ard_3-2-1_51KXU_2020-01-13_final
2020-02-05 11:33:19	ga_s2am_ard_3-2-1_51KWS_2020-02-05_final
2020-02-25 11:36:58	ga_s2am_ard_3-2-1_50HQH_2020-02-25_final
2020-04-02 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2020-04-02_final
2020-04-18 11:42:42	ga_s2am_ard_3-2-1_51KVV_2020-04-18_final
2020-04-20 10:45:48	ga_s2am_ard_3-2-1_52JGM_2020-04-20_final
2020-05-24 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-05-24_final
2020-06-14 11:34:54	ga_s2am_ard_3-2-1_51JWL_2020-06-14_final
2020-06-18 11:14:00	ga_s2am_ard_3-2-1_51KZQ_2020-06-18_final
2020-07-04 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2020-07-04_final
2020-08-03 11:32:25	ga_s2am_ard_3-2-1_51KVB_2020-08-03_final
2020-09-19 11:23:15	ga_s2am_ard_3-2-1_51KYT_2020-09-19_final
2020-11-19 10:55:01	ga_s2am_ard_3-2-1_52JGQ_2020-11-19_final
2020-12-08 11:23:36	ga_s2am_ard_3-2-1_51KYR_2020-12-08_final
2021-01-07 11:24:23	ga_s2am_ard_3-2-1_51JYN_2021-01-07_final
2021-01-20 11:33:17	ga_s2am_ard_3-2-1_51KVT_2021-01-20_final
2021-01-26 11:53:11	ga_s2am_ard_3-2-1_50KRC_2021-01-26_final
2021-03-01 11:34:05	ga_s2am_ard_3-2-1_51KXP_2021-03-01_final
2021-03-16 10:45:46	ga_s2am_ard_3-2-1_52JGM_2021-03-16_final
2021-04-20 11:31:55	ga_s2am_ard_3-2-1_51LWC_2021-04-20_final
2021-04-27 11:24:12	ga_s2am_ard_3-2-1_51KWP_2021-04-27_final
2021-05-10 11:33:21	ga_s2am_ard_3-2-1_51KUT_2021-05-10_final
2021-08-15 11:23:38	ga_s2am_ard_3-2-1_51KZR_2021-08-15_final
2021-09-07 11:33:34	ga_s2am_ard_3-2-1_51KUS_2021-09-07_final
2021-10-14 11:23:33	ga_s2am_ard_3-2-1_51KXS_2021-10-14_final
2021-10-27 11:33:06	ga_s2am_ard_3-2-1_51KVU_2021-10-27_final
2021-11-16 11:33:46	ga_s2am_ard_3-2-1_51KVR_2021-11-16_final
2021-11-19 11:40:57	ga_s2am_ard_3-2-1_51LWG_2021-11-19_final.stac-item
2022-01-25 11:33:01	ga_s2am_ard_3-2-1_51KVU_2022-01-25_final
2022-02-12 10:55:45	ga_s2am_ard_3-2-1_52JFM_2022-02-12_final
2022-04-22 11:23:54	ga_s2am_ard_3-2-1_51KZQ_2022-04-22_final
2022-04-24 12:03:49	ga_s2am_ard_3-2-1_50KKB_2022-04-24_final
2022-04-25 11:34:15	ga_s2am_ard_3-2-1_51KWP_2022-04-25_final
2022-05-05 11:32:59	ga_s2am_ard_3-2-1_51KXU_2022-05-05_final
2022-05-31 11:56:01	ga_s2am_ard_3-2-1_50JMN_2022-05-31_final
2022-06-21 11:24:14	ga_s2am_ard_3-2-1_51KWQ_2022-06-21_final
2022-06-24 11:32:53	ga_s2am_ard_3-2-1_51KXV_2022-06-24_final
2022-07-11 11:24:10	ga_s2am_ard_3-2-1_51KXQ_2022-07-11_final
2022-07-13 12:05:39	ga_s2am_ard_3-2-1_50JKQ_2022-07-13_final
2022-07-21 11:23:25	ga_s2am_ard_3-2-1_51KXT_2022-07-21_final
2022-07-30 11:54:14	ga_s2am_ard_3-2-1_50KPV_2022-07-30_final
2022-09-26 11:15:59	ga_s2am_ard_3-2-1_52JBM_2022-09-26_final.stac-item
2022-10-02 11:33:02	ga_s2am_ard_3-2-1_51KXU_2022-10-02_final.stac-item
2022-10-09 11:23:27	ga_s2am_ard_3-2-1_51KZS_2022-10-09_final.stac-item
2022-11-09 10:55:46	ga_s2am_ard_3-2-1_52JGM_2022-11-09_final.stac-item
2022-11-28 11:23:10	ga_s2am_ard_3-2-1_51KYT_2022-11-28_final.stac-item
2022-12-04 11:43:12	ga_s2am_ard_3-2-1_51KVT_2022-12-04_final.stac-item
2022-12-15 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2022-12-15_final.stac-item
2022-12-21 11:33:29	ga_s2am_ard_3-2-1_51KVS_2022-12-21_final.stac-item
2023-01-03 11:43:02	ga_s2am_ard_3-2-1_51KTU_2023-01-03_final.stac-item
2023-03-14 11:43:08	ga_s2am_ard_3-2-1_51KVT_2023-03-14_final.stac-item
2023-04-08 10:54:21	ga_s2am_ard_3-2-1_52JFT_2023-04-08_final.stac-item
2023-04-19 12:03:43	ga_s2am_ard_3-2-1_50KKB_2023-04-19_final.stac-item
2023-05-21 11:06:02	ga_s2am_ard_3-2-1_52JEL_2023-05-21_final.stac-item
2023-06-22 11:44:02	ga_s2am_ard_3-2-1_51KUQ_2023-06-22_final.stac-item
2023-07-09 11:33:47	ga_s2am_ard_3-2-1_51KWR_2023-07-09_final.stac-item
2023-08-21 11:43:17	ga_s2am_ard_3-2-1_51KVT_2023-08-21_final.stac-item
2023-09-27 11:32:22	ga_s2am_ard_3-2-1_51KVB_2023-09-27_final.stac-item
2023-10-10 11:42:27	ga_s2am_ard_3-2-1_51KVA_2023-10-10_final.stac-item
2023-10-26 12:05:41	ga_s2am_ard_3-2-1_50JKP_2023-10-26_final.stac-item
2023-11-12 11:56:17	ga_s2am_ard_3-2-1_50JNL_2023-11-12_final.stac-item
2023-12-05 12:05:08	ga_s2am_ard_3-2-1_49JGL_2023-12-05_final.stac-item
2024-02-24 11:35:35	ga_s2am_ard_3-2-1_50JQP_2024-02-24_final.stac-item
2024-03-05 11:32:59	ga_s2am_ard_3-2-1_51KWU_2024-03-05_final.stac-item
2024-03-08 11:40:58	ga_s2am_ard_3-2-1_51LWG_2024-03-08_final.stac-item
2024-03-21 11:56:15	ga_s2am_ard_3-2-1_50JKM_2024-03-21_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