Search ga_s2bm_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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KQE_2017-07-11_final.stac-item
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_51JYF_2017-09-17_final
2017-10-07 11:11:46	ga_s2bm_ard_3-2-1_52JBL_2017-10-07_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KWS_2017-10-13_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50JKT_2017-11-11_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KWV_2017-11-22_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KZA_2017-12-29_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JMQ_2018-01-07_final
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JFM_2018-01-13_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JVF_2018-02-07_final
2018-02-16 11:50:39	ga_s2bm_ard_3-2-1_50KPD_2018-02-16_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JUG_2018-02-20_final
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KZS_2018-05-08_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KZS_2018-05-28_final
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KTS_2018-08-22_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50JPQ_2018-09-11_final
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_51JYF_2018-10-22_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50HLJ_2018-10-24_final
2018-11-30 11:43:28	ga_s2bm_ard_3-2-1_51KTS_2018-11-30_final
2018-12-10 11:40:51	ga_s2bm_ard_3-2-1_51LWG_2018-12-10_final.stac-item
2018-12-10 11:43:27	ga_s2bm_ard_3-2-1_50KRB_2018-12-10_final
2019-02-24 12:04:24	ga_s2bm_ard_3-2-1_50KLU_2019-02-24_final
2019-03-10 11:43:30	ga_s2bm_ard_3-2-1_50KRB_2019-03-10_final
2019-03-30 11:45:19	ga_s2bm_ard_3-2-1_50JQQ_2019-03-30_final
2019-05-09 11:44:10	ga_s2bm_ard_3-2-1_50KRV_2019-05-09_final
2019-05-19 11:44:28	ga_s2bm_ard_3-2-1_50KQU_2019-05-19_final
2019-08-07 11:44:23	ga_s2bm_ard_3-2-1_50KRU_2019-08-07_final
2019-08-24 11:33:03	ga_s2bm_ard_3-2-1_51KWU_2019-08-24_final
2019-09-02 12:04:13	ga_s2bm_ard_3-2-1_50KLV_2019-09-02_final
2019-09-12 12:04:25	ga_s2bm_ard_3-2-1_50KLU_2019-09-12_final
2019-11-02 11:34:58	ga_s2bm_ard_3-2-1_51JVL_2019-11-02_final
2019-11-11 12:04:12	ga_s2bm_ard_3-2-1_50KKV_2019-11-11_final
2019-11-15 11:44:15	ga_s2bm_ard_3-2-1_51KTP_2019-11-15_final
2019-11-21 12:04:11	ga_s2bm_ard_3-2-1_50KKV_2019-11-21_final
2020-02-20 11:34:57	ga_s2bm_ard_3-2-1_51JUL_2020-02-20_final
2020-03-18 11:24:35	ga_s2bm_ard_3-2-1_51JYM_2020-03-18_final
2020-04-07 11:23:03	ga_s2bm_ard_3-2-1_51KZT_2020-04-07_final
2020-04-20 11:34:41	ga_s2bm_ard_3-2-1_51JUM_2020-04-20_final
2020-06-22 11:42:34	ga_s2bm_ard_3-2-1_51KUA_2020-06-22_final
2020-06-22 11:44:04	ga_s2bm_ard_3-2-1_51KTQ_2020-06-22_final
2020-06-25 11:54:43	ga_s2bm_ard_3-2-1_50JMT_2020-06-25_final
2020-06-26 11:24:39	ga_s2bm_ard_3-2-1_51JYM_2020-06-26_final
2020-07-13 11:15:52	ga_s2bm_ard_3-2-1_52JBM_2020-07-13_final
2020-07-13 11:16:07	ga_s2bm_ard_3-2-1_52JBL_2020-07-13_final
2020-08-05 11:22:12	ga_s2bm_ard_3-2-1_51KZB_2020-08-05_final
2020-08-05 11:24:29	ga_s2bm_ard_3-2-1_51JXN_2020-08-05_final
2020-08-31 11:44:05	ga_s2bm_ard_3-2-1_50KRV_2020-08-31_final
2020-09-10 11:44:22	ga_s2bm_ard_3-2-1_50KQU_2020-09-10_final
2020-09-14 11:24:14	ga_s2bm_ard_3-2-1_51KXP_2020-09-14_final
2020-11-09 11:43:34	ga_s2bm_ard_3-2-1_51KTS_2020-11-09_final
2020-11-15 12:04:14	ga_s2bm_ard_3-2-1_50KKV_2020-11-15_final
2020-12-02 11:54:36	ga_s2bm_ard_3-2-1_50JNT_2020-12-02_final
2020-12-09 11:45:30	ga_s2bm_ard_3-2-1_50JQP_2020-12-09_final
2020-12-19 11:45:17	ga_s2bm_ard_3-2-1_50JPQ_2020-12-19_final
2021-01-09 11:16:05	ga_s2bm_ard_3-2-1_52JBL_2021-01-09_final
2021-01-15 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2021-01-15_final
2021-03-03 11:22:08	ga_s2bm_ard_3-2-1_51KZB_2021-03-03_final
2021-03-29 11:41:46	ga_s2bm_ard_3-2-1_51LUD_2021-03-29_final.stac-item
2021-06-17 11:41:48	ga_s2bm_ard_3-2-1_51LUD_2021-06-17_final.stac-item
2021-08-16 11:43:32	ga_s2bm_ard_3-2-1_51KTS_2021-08-16_final
2021-09-02 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2021-09-02_final
2021-09-26 11:16:04	ga_s2bm_ard_3-2-1_52JBL_2021-09-26_final
2021-10-12 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2021-10-12_final
2022-05-13 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2022-05-13_final
2022-06-08 12:05:13	ga_s2bm_ard_3-2-1_50JKR_2022-06-08_final
2022-06-09 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2022-06-09_final
2022-06-25 11:52:53	ga_s2bm_ard_3-2-1_50KQE_2022-06-25_final.stac-item
2022-07-09 11:33:17	ga_s2bm_ard_3-2-1_51KWT_2022-07-09_final
2022-07-19 11:33:03	ga_s2bm_ard_3-2-1_51KWU_2022-07-19_final
2022-08-25 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2022-08-25_final
2022-10-23 11:56:21	ga_s2bm_ard_3-2-1_50JML_2022-10-23_final.stac-item
2022-10-24 11:25:27	ga_s2bm_ard_3-2-1_51JWJ_2022-10-24_final.stac-item
2022-10-30 11:43:31	ga_s2bm_ard_3-2-1_51KTS_2022-10-30_final.stac-item
2022-11-23 11:26:11	ga_s2bm_ard_3-2-1_51JWF_2022-11-23_final.stac-item
2022-12-09 11:45:17	ga_s2bm_ard_3-2-1_50JPQ_2022-12-09_final.stac-item
2022-12-15 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2022-12-15_final.stac-item
2022-12-16 11:30:36	ga_s2bm_ard_3-2-1_51LZH_2022-12-16_nrt.stac-item
2023-01-02 11:25:26	ga_s2bm_ard_3-2-1_51JWJ_2023-01-02_final.stac-item
2023-01-18 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2023-01-18_final.stac-item
2023-03-12 11:55:28	ga_s2bm_ard_3-2-1_50JMQ_2023-03-12_final.stac-item
2023-03-26 11:30:58	ga_s2bm_ard_3-2-1_51LYG_2023-03-26_nrt.stac-item
2023-05-15 11:31:14	ga_s2bm_ard_3-2-1_51LYF_2023-05-15_nrt.stac-item
2023-05-19 11:15:56	ga_s2bm_ard_3-2-1_52JBM_2023-05-19_final.stac-item
2023-05-28 11:43:52	ga_s2bm_ard_3-2-1_51KTR_2023-05-28_final.stac-item
2023-08-26 11:43:51	ga_s2bm_ard_3-2-1_50KRA_2023-08-26_final.stac-item
2023-09-11 12:01:27	ga_s2bm_ard_3-2-1_50LNL_2023-09-11_nrt.stac-item
2023-09-12 11:31:31	ga_s2bm_ard_3-2-1_51LXE_2023-09-12_nrt.stac-item
2023-09-15 11:42:05	ga_s2bm_ard_3-2-1_51LUC_2023-09-15_final.stac-item
2023-09-22 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2023-09-22_final.stac-item
2023-09-28 11:52:55	ga_s2bm_ard_3-2-1_50KPE_2023-09-28_nrt.stac-item
2023-10-12 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2023-10-12_final.stac-item
2023-10-12 11:33:15	ga_s2bm_ard_3-2-1_51KWT_2023-10-12_final.stac-item
2023-10-16 11:15:24	ga_s2bm_ard_3-2-1_52JBP_2023-10-16_final.stac-item
2023-10-22 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2023-10-22_final.stac-item
2023-11-14 11:44:02	ga_s2bm_ard_3-2-1_51KTQ_2023-11-14_final.stac-item
2023-11-25 11:15:49	ga_s2bm_ard_3-2-1_51JYG_2023-11-25_final.stac-item
2024-01-13 11:44:00	ga_s2bm_ard_3-2-1_51KTQ_2024-01-13_final.stac-item
2024-01-16 11:51:17	ga_s2bm_ard_3-2-1_50LRL_2024-01-16_nrt.stac-item
2024-02-18 12:04:11	ga_s2bm_ard_3-2-1_50KLV_2024-02-18_final.stac-item
2024-04-01 12:13:46	ga_s2bm_ard_3-2-1_49KFS_2024-04-01_nrt.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years