Search ga_s2am_ard_3 on 29th May 2021

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
2021-05-29 10:20:07	ga_s2am_ard_3-2-1_54LZN_2021-05-29_final
2021-05-29 10:20:11	ga_s2am_ard_3-2-1_54LYN_2021-05-29_final
2021-05-29 10:20:14	ga_s2am_ard_3-2-1_54LXN_2021-05-29_final
2021-05-29 10:20:19	ga_s2am_ard_3-2-1_54LWN_2021-05-29_final
2021-05-29 10:20:25	ga_s2am_ard_3-2-1_54LYM_2021-05-29_final
2021-05-29 10:20:32	ga_s2am_ard_3-2-1_54LWM_2021-05-29_final
2021-05-29 10:20:46	ga_s2am_ard_3-2-1_54LWL_2021-05-29_final
2021-05-29 10:20:50	ga_s2am_ard_3-2-1_54LZK_2021-05-29_final
2021-05-29 10:20:54	ga_s2am_ard_3-2-1_54LYK_2021-05-29_final
2021-05-29 10:20:58	ga_s2am_ard_3-2-1_54LXK_2021-05-29_final
2021-05-29 10:21:01	ga_s2am_ard_3-2-1_54LWK_2021-05-29_final
2021-05-29 10:21:01	ga_s2am_ard_3-2-1_54LZJ_2021-05-29_final
2021-05-29 10:21:08	ga_s2am_ard_3-2-1_54LYJ_2021-05-29_final
2021-05-29 10:21:12	ga_s2am_ard_3-2-1_54LXJ_2021-05-29_final
2021-05-29 10:21:16	ga_s2am_ard_3-2-1_54LWJ_2021-05-29_final
2021-05-29 10:21:22	ga_s2am_ard_3-2-1_54LVJ_2021-05-29_final.stac-item
2021-05-29 10:21:23	ga_s2am_ard_3-2-1_54LYH_2021-05-29_final
2021-05-29 10:21:27	ga_s2am_ard_3-2-1_54LXH_2021-05-29_final
2021-05-29 10:21:30	ga_s2am_ard_3-2-1_54LWH_2021-05-29_final
2021-05-29 10:21:34	ga_s2am_ard_3-2-1_54LVH_2021-05-29_final
2021-05-29 10:21:41	ga_s2am_ard_3-2-1_54KXG_2021-05-29_final
2021-05-29 10:21:45	ga_s2am_ard_3-2-1_54KWG_2021-05-29_final
2021-05-29 10:21:48	ga_s2am_ard_3-2-1_54KVG_2021-05-29_final
2021-05-29 10:21:56	ga_s2am_ard_3-2-1_54KXF_2021-05-29_final
2021-05-29 10:21:59	ga_s2am_ard_3-2-1_54KWF_2021-05-29_final
2021-05-29 10:22:02	ga_s2am_ard_3-2-1_54KVF_2021-05-29_final
2021-05-29 10:22:04	ga_s2am_ard_3-2-1_54KYE_2021-05-29_final
2021-05-29 10:22:10	ga_s2am_ard_3-2-1_54KXE_2021-05-29_final
2021-05-29 10:22:14	ga_s2am_ard_3-2-1_54KWE_2021-05-29_final
2021-05-29 10:22:17	ga_s2am_ard_3-2-1_54KVE_2021-05-29_final
2021-05-29 10:22:24	ga_s2am_ard_3-2-1_54KXD_2021-05-29_final
2021-05-29 10:22:24	ga_s2am_ard_3-2-1_54KUE_2021-05-29_final
2021-05-29 10:22:28	ga_s2am_ard_3-2-1_54KWD_2021-05-29_final
2021-05-29 10:22:31	ga_s2am_ard_3-2-1_54KVD_2021-05-29_final
2021-05-29 10:22:35	ga_s2am_ard_3-2-1_54KUD_2021-05-29_final
2021-05-29 10:22:39	ga_s2am_ard_3-2-1_54KXC_2021-05-29_final
2021-05-29 10:22:43	ga_s2am_ard_3-2-1_54KWC_2021-05-29_final
2021-05-29 10:22:46	ga_s2am_ard_3-2-1_54KVC_2021-05-29_final
2021-05-29 10:22:49	ga_s2am_ard_3-2-1_54KUC_2021-05-29_final
2021-05-29 10:22:54	ga_s2am_ard_3-2-1_54KXB_2021-05-29_final
2021-05-29 10:22:57	ga_s2am_ard_3-2-1_54KWB_2021-05-29_final
2021-05-29 10:23:01	ga_s2am_ard_3-2-1_54KVB_2021-05-29_final
2021-05-29 10:23:04	ga_s2am_ard_3-2-1_54KUB_2021-05-29_final
2021-05-29 10:23:07	ga_s2am_ard_3-2-1_54KXA_2021-05-29_final
2021-05-29 10:23:12	ga_s2am_ard_3-2-1_54KWA_2021-05-29_final
2021-05-29 10:23:15	ga_s2am_ard_3-2-1_54KVA_2021-05-29_final
2021-05-29 10:23:18	ga_s2am_ard_3-2-1_54KXV_2021-05-29_final
2021-05-29 10:23:18	ga_s2am_ard_3-2-1_54KUA_2021-05-29_final
2021-05-29 10:23:26	ga_s2am_ard_3-2-1_54KWV_2021-05-29_final
2021-05-29 10:23:30	ga_s2am_ard_3-2-1_54KVV_2021-05-29_final
2021-05-29 10:23:33	ga_s2am_ard_3-2-1_54KUV_2021-05-29_final
2021-05-29 10:23:38	ga_s2am_ard_3-2-1_54KTV_2021-05-29_final
2021-05-29 10:23:41	ga_s2am_ard_3-2-1_54KWU_2021-05-29_final
2021-05-29 10:23:41	ga_s2am_ard_3-2-1_53KRQ_2021-05-29_final
2021-05-29 10:23:44	ga_s2am_ard_3-2-1_54KVU_2021-05-29_final
2021-05-29 10:23:47	ga_s2am_ard_3-2-1_54KUU_2021-05-29_final
2021-05-29 10:23:51	ga_s2am_ard_3-2-1_54KTU_2021-05-29_final
2021-05-29 10:23:51	ga_s2am_ard_3-2-1_53KRP_2021-05-29_final
2021-05-29 10:23:55	ga_s2am_ard_3-2-1_54JWT_2021-05-29_final
2021-05-29 10:23:59	ga_s2am_ard_3-2-1_54JVT_2021-05-29_final
2021-05-29 10:24:02	ga_s2am_ard_3-2-1_54JUT_2021-05-29_final
2021-05-29 10:24:05	ga_s2am_ard_3-2-1_53JRN_2021-05-29_final
2021-05-29 10:24:05	ga_s2am_ard_3-2-1_54JTT_2021-05-29_final
2021-05-29 10:24:09	ga_s2am_ard_3-2-1_54JWS_2021-05-29_final
2021-05-29 10:24:13	ga_s2am_ard_3-2-1_54JVS_2021-05-29_final
2021-05-29 10:24:17	ga_s2am_ard_3-2-1_54JUS_2021-05-29_final
2021-05-29 10:24:19	ga_s2am_ard_3-2-1_53JRM_2021-05-29_final
2021-05-29 10:24:20	ga_s2am_ard_3-2-1_54JTS_2021-05-29_final
2021-05-29 10:26:41	ga_s2am_ard_3-2-1_53HNC_2021-05-29_final
2021-05-29 10:26:55	ga_s2am_ard_3-2-1_53HNB_2021-05-29_final
2021-05-29 12:03:21	ga_s2am_ard_3-2-1_50KNC_2021-05-29_final
2021-05-29 12:03:24	ga_s2am_ard_3-2-1_50KMC_2021-05-29_final
2021-05-29 12:03:27	ga_s2am_ard_3-2-1_50KLC_2021-05-29_final
2021-05-29 12:03:34	ga_s2am_ard_3-2-1_50KNB_2021-05-29_final
2021-05-29 12:03:38	ga_s2am_ard_3-2-1_50KMB_2021-05-29_final
2021-05-29 12:03:42	ga_s2am_ard_3-2-1_50KLB_2021-05-29_final
2021-05-29 12:03:45	ga_s2am_ard_3-2-1_50KNA_2021-05-29_final
2021-05-29 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-05-29_final.stac-item
2021-05-29 12:03:53	ga_s2am_ard_3-2-1_50KMA_2021-05-29_final
2021-05-29 12:03:56	ga_s2am_ard_3-2-1_50KLA_2021-05-29_final
2021-05-29 12:03:59	ga_s2am_ard_3-2-1_50KKA_2021-05-29_final
2021-05-29 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-05-29_final
2021-05-29 12:04:07	ga_s2am_ard_3-2-1_50KMV_2021-05-29_final
2021-05-29 12:04:11	ga_s2am_ard_3-2-1_50KLV_2021-05-29_final
2021-05-29 12:04:14	ga_s2am_ard_3-2-1_50KKV_2021-05-29_final
2021-05-29 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-05-29_final
2021-05-29 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2021-05-29_final
2021-05-29 12:04:25	ga_s2am_ard_3-2-1_50KLU_2021-05-29_final
2021-05-29 12:04:29	ga_s2am_ard_3-2-1_49KHP_2021-05-29_final
2021-05-29 12:04:29	ga_s2am_ard_3-2-1_50KKU_2021-05-29_final
2021-05-29 12:04:32	ga_s2am_ard_3-2-1_49KGP_2021-05-29_final
2021-05-29 12:04:36	ga_s2am_ard_3-2-1_50JMT_2021-05-29_final
2021-05-29 12:04:40	ga_s2am_ard_3-2-1_50JLT_2021-05-29_final
2021-05-29 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-05-29_final
2021-05-29 12:04:43	ga_s2am_ard_3-2-1_50JKT_2021-05-29_final
2021-05-29 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-05-29_final
2021-05-29 12:04:49	ga_s2am_ard_3-2-1_50JMS_2021-05-29_final
2021-05-29 12:04:54	ga_s2am_ard_3-2-1_50JLS_2021-05-29_final
2021-05-29 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-05-29_final
2021-05-29 12:04:59	ga_s2am_ard_3-2-1_50JMR_2021-05-29_final

Return to ga_s2am_ard_3 on 29th May 2021 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

2021

May

29th