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
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51LXD_2016-02-06_final.stac-item
2016-04-14 10:51:39	ga_s2am_ard_3-2-1_52JFL_2016-04-14_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51KYU_2016-05-23_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JKM_2016-06-04_final.stac-item
2016-07-23 10:48:23	ga_s2am_ard_3-2-1_52JGN_2016-07-23_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JHM_2016-08-03_final.stac-item
2016-09-14 10:57:41	ga_s2am_ard_3-2-1_52JFT_2016-09-14_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51LXD_2016-12-12_final
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_51KZQ_2017-04-15_final
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51LZE_2017-04-28_final
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_51HYD_2017-05-25_final
2017-08-29 11:36:08	ga_s2am_ard_3-2-1_51JUF_2017-08-29_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2017-10-17_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KXR_2017-11-07_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50KNB_2017-12-03_final
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_50JKN_2017-12-16_final
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KVT_2018-02-18_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HPH_2018-03-10_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50KMU_2018-04-22_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51KWT_2018-05-06_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPT_2018-06-18_final
2018-07-12 11:19:28	ga_s2am_ard_3-2-1_51KXS_2018-07-12_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JKN_2018-07-24_final
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_51HWE_2018-10-07_final
2018-11-06 11:15:20	ga_s2am_ard_3-2-1_51JYJ_2018-11-06_final
2018-11-19 11:26:41	ga_s2am_ard_3-2-1_51HUD_2018-11-19_final
2019-01-04 11:43:19	ga_s2am_ard_3-2-1_51KVS_2019-01-04_final
2019-01-18 11:23:32	ga_s2am_ard_3-2-1_51KZR_2019-01-18_final
2019-01-25 11:16:17	ga_s2am_ard_3-2-1_52HBK_2019-01-25_final
2019-02-08 10:55:53	ga_s2am_ard_3-2-1_52JGL_2019-02-08_final
2019-03-02 11:32:06	ga_s2am_ard_3-2-1_51KXB_2019-03-02_final
2019-04-04 11:47:07	ga_s2am_ard_3-2-1_50HNH_2019-04-04_final
2019-04-19 10:56:07	ga_s2am_ard_3-2-1_52JEL_2019-04-19_final
2019-05-01 11:33:26	ga_s2am_ard_3-2-1_51KUT_2019-05-01_final
2019-05-27 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2019-05-27_final
2019-06-07 11:27:00	ga_s2am_ard_3-2-1_51HVC_2019-06-07_final
2019-06-10 11:33:06	ga_s2am_ard_3-2-1_51KWU_2019-06-10_final
2019-06-20 11:33:27	ga_s2am_ard_3-2-1_51KXS_2019-06-20_final
2019-08-12 11:41:59	ga_s2am_ard_3-2-1_51LWC_2019-08-12_final
2019-09-08 11:33:12	ga_s2am_ard_3-2-1_51KWT_2019-09-08_final
2019-10-05 11:26:34	ga_s2am_ard_3-2-1_51HUE_2019-10-05_final
2019-11-24 11:21:59	ga_s2am_ard_3-2-1_51LYC_2019-11-24_final
2020-01-10 11:15:24	ga_s2am_ard_3-2-1_51JXJ_2020-01-10_final
2020-01-16 11:33:21	ga_s2am_ard_3-2-1_51KWS_2020-01-16_final
2020-01-30 11:16:29	ga_s2am_ard_3-2-1_51HYD_2020-01-30_final
2020-02-05 11:32:21	ga_s2am_ard_3-2-1_51KWA_2020-02-05_final
2020-02-28 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2020-02-28_final
2020-02-29 11:16:18	ga_s2am_ard_3-2-1_51HYE_2020-02-29_final
2020-03-29 11:41:51	ga_s2am_ard_3-2-1_51LWC_2020-03-29_final
2020-07-20 11:56:04	ga_s2am_ard_3-2-1_50JKN_2020-07-20_final
2020-08-16 11:46:32	ga_s2am_ard_3-2-1_50JML_2020-08-16_final
2020-08-22 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2020-08-22_final
2020-11-30 12:06:10	ga_s2am_ard_3-2-1_50JKM_2020-11-30_final
2021-01-09 12:06:10	ga_s2am_ard_3-2-1_50JKM_2021-01-09_final
2021-01-20 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2021-01-20_final
2021-03-21 11:33:37	ga_s2am_ard_3-2-1_51KWR_2021-03-21_final
2021-04-13 11:44:05	ga_s2am_ard_3-2-1_50KPV_2021-04-13_final
2021-06-26 11:23:15	ga_s2am_ard_3-2-1_51KXT_2021-06-26_final
2021-07-07 10:54:47	ga_s2am_ard_3-2-1_52JGR_2021-07-07_final
2021-07-12 11:45:39	ga_s2am_ard_3-2-1_50JPP_2021-07-12_final
2021-07-25 11:54:15	ga_s2am_ard_3-2-1_50KMV_2021-07-25_final
2021-08-02 11:16:40	ga_s2am_ard_3-2-1_51HYD_2021-08-02_final
2021-10-03 11:56:19	ga_s2am_ard_3-2-1_50JKM_2021-10-03_final
2021-11-14 10:55:43	ga_s2am_ard_3-2-1_52JGM_2021-11-14_final
2021-12-06 11:37:20	ga_s2am_ard_3-2-1_50HPG_2021-12-06_final.stac-item
2022-01-15 11:32:59	ga_s2am_ard_3-2-1_51KWU_2022-01-15_final
2022-02-01 11:23:07	ga_s2am_ard_3-2-1_51KZT_2022-02-01_final
2022-03-25 12:05:58	ga_s2am_ard_3-2-1_50JKN_2022-03-25_final
2022-03-29 11:43:27	ga_s2am_ard_3-2-1_51KVS_2022-03-29_final
2022-04-12 11:26:49	ga_s2am_ard_3-2-1_51HUD_2022-04-12_final
2022-05-29 11:14:54	ga_s2am_ard_3-2-1_52JDR_2022-05-29_final
2022-06-01 11:25:24	ga_s2am_ard_3-2-1_51JVK_2022-06-01_final
2022-07-14 11:33:36	ga_s2am_ard_3-2-1_51KXS_2022-07-14_final
2022-07-14 11:33:40	ga_s2am_ard_3-2-1_51KWS_2022-07-14_final
2022-07-15 11:05:50	ga_s2am_ard_3-2-1_52JCN_2022-07-15_final
2022-09-25 11:46:41	ga_s2am_ard_3-2-1_50HPK_2022-09-25_final.stac-item
2022-09-29 11:25:02	ga_s2am_ard_3-2-1_51JXL_2022-09-29_final.stac-item
2022-10-05 11:46:44	ga_s2am_ard_3-2-1_50HNK_2022-10-05_final.stac-item
2022-10-22 11:36:50	ga_s2am_ard_3-2-1_50HQJ_2022-10-22_final.stac-item
2022-11-21 11:31:54	ga_s2am_ard_3-2-1_51LYC_2022-11-21_final.stac-item
2023-01-17 11:22:05	ga_s2am_ard_3-2-1_51KZB_2023-01-17_final.stac-item
2023-01-17 11:25:38	ga_s2am_ard_3-2-1_51JWH_2023-01-17_final.stac-item
2023-03-30 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2023-03-30_final.stac-item
2023-05-06 11:53:11	ga_s2am_ard_3-2-1_50KRC_2023-05-06_final.stac-item
2023-05-14 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2023-05-14_final.stac-item
2023-05-16 11:57:15	ga_s2am_ard_3-2-1_49HGC_2023-05-16_nrt.stac-item
2023-05-23 11:43:28	ga_s2am_ard_3-2-1_51KVS_2023-05-23_final.stac-item
2023-06-13 12:51:04	ga_s2am_ard_3-2-1_48LWP_2023-06-13_final.stac-item
2023-06-18 12:04:14	ga_s2am_ard_3-2-1_50KLV_2023-06-18_final.stac-item
2023-07-29 11:37:06	ga_s2am_ard_3-2-1_51HTC_2023-07-29_final.stac-item
2023-11-13 11:23:42	ga_s2am_ard_3-2-1_51KXR_2023-11-13_final.stac-item
2023-11-26 11:33:28	ga_s2am_ard_3-2-1_51KUS_2023-11-26_final.stac-item
2023-12-17 11:05:33	ga_s2am_ard_3-2-1_52JCN_2023-12-17_final.stac-item
2024-01-02 11:22:57	ga_s2am_ard_3-2-1_51KXU_2024-01-02_final.stac-item
2024-01-22 11:22:19	ga_s2am_ard_3-2-1_51KYA_2024-01-22_final.stac-item
2024-02-04 11:32:50	ga_s2am_ard_3-2-1_51KXU_2024-02-04_final.stac-item
2024-02-21 11:21:23	ga_s2am_ard_3-2-1_51LZE_2024-02-21_final.stac-item
2024-03-15 11:32:00	ga_s2am_ard_3-2-1_51LWC_2024-03-15_final.stac-item
2024-03-22 11:21:12	ga_s2am_ard_3-2-1_51LZF_2024-03-22_final.stac-item
2024-03-25 11:34:12	ga_s2am_ard_3-2-1_51KWP_2024-03-25_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