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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50KPF_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50KQG_2015-12-04_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGH_2016-02-15_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49JGH_2016-07-14_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JGH_2016-08-03_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGH_2016-09-12_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50KQG_2016-09-19_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JGH_2016-10-02_final.stac-item
2016-10-10 11:22:34	ga_s2am_ard_3-2-1_51HVB_2016-10-10_final.stac-item
2016-10-29 11:43:41	ga_s2am_ard_3-2-1_50KPF_2016-10-29_final.stac-item
2016-10-29 11:43:41	ga_s2am_ard_3-2-1_50KQG_2016-10-29_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JGH_2016-11-21_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50KPF_2016-11-28_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50KQG_2016-11-28_final.stac-item
2023-09-23 11:52:21	ga_s2am_ard_3-2-1_50KQG_2023-09-23_final.stac-item
2023-09-23 11:52:39	ga_s2am_ard_3-2-1_50KPF_2023-09-23_final.stac-item
2023-09-23 11:53:12	ga_s2am_ard_3-2-1_50KRC_2023-09-23_final.stac-item
2023-09-23 11:53:19	ga_s2am_ard_3-2-1_50KQC_2023-09-23_final.stac-item
2023-09-23 11:53:26	ga_s2am_ard_3-2-1_50KNC_2023-09-23_final.stac-item
2023-09-23 11:53:33	ga_s2am_ard_3-2-1_50KQB_2023-09-23_final.stac-item
2023-09-23 11:53:41	ga_s2am_ard_3-2-1_50KNB_2023-09-23_final.stac-item
2023-09-23 11:53:44	ga_s2am_ard_3-2-1_50KMB_2023-09-23_final.stac-item
2023-09-23 11:53:52	ga_s2am_ard_3-2-1_50KPA_2023-09-23_final.stac-item
2023-09-23 11:53:55	ga_s2am_ard_3-2-1_50KNA_2023-09-23_final.stac-item
2023-09-23 11:53:58	ga_s2am_ard_3-2-1_50KMA_2023-09-23_final.stac-item
2023-09-23 11:54:10	ga_s2am_ard_3-2-1_50KNV_2023-09-23_final.stac-item
2023-09-23 11:54:13	ga_s2am_ard_3-2-1_50KMV_2023-09-23_final.stac-item
2023-09-23 11:54:15	ga_s2am_ard_3-2-1_50KQU_2023-09-23_final.stac-item
2023-09-23 11:54:21	ga_s2am_ard_3-2-1_50KPU_2023-09-23_final.stac-item
2023-09-23 11:54:24	ga_s2am_ard_3-2-1_50KNU_2023-09-23_final.stac-item
2023-09-23 11:54:28	ga_s2am_ard_3-2-1_50KMU_2023-09-23_final.stac-item
2023-09-23 11:54:35	ga_s2am_ard_3-2-1_50KLU_2023-09-23_final.stac-item
2023-09-23 11:54:35	ga_s2am_ard_3-2-1_50JPT_2023-09-23_final.stac-item
2023-09-23 11:54:39	ga_s2am_ard_3-2-1_50JNT_2023-09-23_final.stac-item
2023-09-23 11:54:42	ga_s2am_ard_3-2-1_50JMT_2023-09-23_final.stac-item
2023-09-23 11:54:46	ga_s2am_ard_3-2-1_50JLT_2023-09-23_final.stac-item
2023-09-23 11:54:50	ga_s2am_ard_3-2-1_50JPS_2023-09-23_final.stac-item
2023-09-23 11:54:53	ga_s2am_ard_3-2-1_50JNS_2023-09-23_final.stac-item
2023-09-23 11:54:57	ga_s2am_ard_3-2-1_50JMS_2023-09-23_final.stac-item
2023-09-23 11:55:00	ga_s2am_ard_3-2-1_50JLS_2023-09-23_final.stac-item
2023-09-23 11:55:04	ga_s2am_ard_3-2-1_50JPR_2023-09-23_final.stac-item
2023-09-23 11:55:08	ga_s2am_ard_3-2-1_50JNR_2023-09-23_final.stac-item
2023-09-23 11:55:11	ga_s2am_ard_3-2-1_50JMR_2023-09-23_final.stac-item
2023-09-23 11:55:14	ga_s2am_ard_3-2-1_50JLR_2023-09-23_final.stac-item
2023-09-23 11:55:17	ga_s2am_ard_3-2-1_50JPQ_2023-09-23_final.stac-item
2023-09-23 11:55:22	ga_s2am_ard_3-2-1_50JNQ_2023-09-23_final.stac-item
2023-09-23 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2023-09-23_final.stac-item
2023-09-23 11:55:28	ga_s2am_ard_3-2-1_50JPP_2023-09-23_final.stac-item
2023-09-23 11:55:29	ga_s2am_ard_3-2-1_50JLQ_2023-09-23_final.stac-item
2023-09-23 11:55:36	ga_s2am_ard_3-2-1_50JNP_2023-09-23_final.stac-item
2023-09-23 11:55:40	ga_s2am_ard_3-2-1_50JMP_2023-09-23_final.stac-item
2023-09-23 11:55:44	ga_s2am_ard_3-2-1_50JLP_2023-09-23_final.stac-item
2023-09-23 11:55:48	ga_s2am_ard_3-2-1_50JKP_2023-09-23_final.stac-item
2023-09-23 11:55:48	ga_s2am_ard_3-2-1_50JNN_2023-09-23_final.stac-item
2023-09-23 11:55:50	ga_s2am_ard_3-2-1_50JMN_2023-09-23_final.stac-item
2023-09-23 11:55:51	ga_s2am_ard_3-2-1_50JLP_2023-09-23_final.stac-item
2023-09-23 11:55:52	ga_s2am_ard_3-2-1_50JLN_2023-09-23_final.stac-item
2023-09-23 11:55:53	ga_s2am_ard_3-2-1_50JKN_2023-09-23_final.stac-item
2023-09-23 11:55:55	ga_s2am_ard_3-2-1_50JNN_2023-09-23_final.stac-item
2023-09-23 11:55:57	ga_s2am_ard_3-2-1_50JMN_2023-09-23_final.stac-item
2023-09-23 11:55:58	ga_s2am_ard_3-2-1_50JLN_2023-09-23_final.stac-item
2023-09-23 11:56:01	ga_s2am_ard_3-2-1_50JKN_2023-09-23_final.stac-item
2023-09-23 11:56:06	ga_s2am_ard_3-2-1_50JNM_2023-09-23_final.stac-item
2023-09-23 11:56:09	ga_s2am_ard_3-2-1_50JMM_2023-09-23_final.stac-item
2023-09-23 11:56:13	ga_s2am_ard_3-2-1_50JLM_2023-09-23_final.stac-item
2023-09-23 11:56:16	ga_s2am_ard_3-2-1_50JKM_2023-09-23_final.stac-item
2023-09-23 11:56:20	ga_s2am_ard_3-2-1_50JNL_2023-09-23_final.stac-item
2023-09-23 11:56:24	ga_s2am_ard_3-2-1_50JML_2023-09-23_final.stac-item
2023-09-23 11:56:27	ga_s2am_ard_3-2-1_50JLL_2023-09-23_final.stac-item
2023-09-23 11:56:31	ga_s2am_ard_3-2-1_50HNK_2023-09-23_final.stac-item
2023-09-23 11:56:38	ga_s2am_ard_3-2-1_50HMK_2023-09-23_final.stac-item
2023-09-23 11:56:42	ga_s2am_ard_3-2-1_50HLK_2023-09-23_final.stac-item
2023-09-23 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2023-09-23_final.stac-item
2023-09-23 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2023-09-23_final.stac-item
2023-09-23 11:57:08	ga_s2am_ard_3-2-1_50HMH_2023-09-23_final.stac-item
2023-09-23 11:57:11	ga_s2am_ard_3-2-1_50HLH_2023-09-23_final.stac-item
2023-09-23 11:57:22	ga_s2am_ard_3-2-1_50HMG_2023-09-23_final.stac-item
2023-09-23 11:57:24	ga_s2am_ard_3-2-1_50HLG_2023-09-23_final.stac-item
2023-10-03 11:50:36	ga_s2am_ard_3-2-1_50LRP_2023-10-03_nrt.stac-item
2023-10-03 11:50:39	ga_s2am_ard_3-2-1_50LQP_2023-10-03_nrt.stac-item
2023-10-03 11:50:51	ga_s2am_ard_3-2-1_50LRN_2023-10-03_nrt.stac-item
2023-10-03 11:50:54	ga_s2am_ard_3-2-1_50LQN_2023-10-03_nrt.stac-item
2023-10-03 11:51:05	ga_s2am_ard_3-2-1_50LRM_2023-10-03_nrt.stac-item
2023-10-03 11:51:20	ga_s2am_ard_3-2-1_50LRL_2023-10-03_nrt.stac-item
2023-10-03 11:51:34	ga_s2am_ard_3-2-1_50LRK_2023-10-03_nrt.stac-item
2023-10-03 11:52:03	ga_s2am_ard_3-2-1_50LRH_2023-10-03_nrt.stac-item
2023-10-03 11:53:12	ga_s2am_ard_3-2-1_50KND_2023-10-03_nrt.stac-item
2023-10-03 11:56:30	ga_s2am_ard_3-2-1_50JKL_2023-10-03_nrt.stac-item
2023-10-03 11:56:35	ga_s2am_ard_3-2-1_49JGF_2023-10-03_nrt.stac-item
2023-10-03 11:56:45	ga_s2am_ard_3-2-1_50HKK_2023-10-03_nrt.stac-item
2023-10-03 11:56:47	ga_s2am_ard_3-2-1_49HGE_2023-10-03_nrt.stac-item
2023-10-03 11:56:59	ga_s2am_ard_3-2-1_50HKJ_2023-10-03_nrt.stac-item
2023-10-03 11:57:02	ga_s2am_ard_3-2-1_49HGD_2023-10-03_nrt.stac-item
2023-10-03 11:57:14	ga_s2am_ard_3-2-1_50HKH_2023-10-03_nrt.stac-item
2023-10-03 11:57:16	ga_s2am_ard_3-2-1_49HGC_2023-10-03_nrt.stac-item
2023-10-03 11:57:24	ga_s2am_ard_3-2-1_49HFC_2023-10-03_nrt.stac-item
2023-10-03 11:57:26	ga_s2am_ard_3-2-1_50HKG_2023-10-03_nrt.stac-item
2023-10-03 11:57:27	ga_s2am_ard_3-2-1_49HGB_2023-10-03_nrt.stac-item
2023-10-03 11:57:29	ga_s2am_ard_3-2-1_49HFB_2023-10-03_nrt.stac-item
2023-10-03 11:57:29	ga_s2am_ard_3-2-1_50HMF_2023-10-03_nrt.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

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