Dataset for "Assessment of interferometric coherence contribution to corn and soybean mapping with Sentinel-1 data time series"
| dc.contributor.other | Bolsa de Comercio de Rosario | |
| dc.creator | Amherdt, Sebastian | |
| dc.date.accessioned | 2022-03-16T15:08:46Z | |
| dc.date.available | 2022-03-16T15:08:46Z | |
| dc.date.issued | 2022 | |
| dc.description | Employed dataset for a research work development. Crop mapping with remote sensing data is a valuable tool for monitoring global food security, economic stability, and environmental conditions. This work aimed to evaluate the added value of Repeat-Pass interferometric coherence to backscatter for soybean and corn mapping, which are the most significant grain crops in Argentina. In addition, it was proposed the analysis of crops’ growth stages SAR information as well as the accuracy of in-season crop classifications. A complete 1-year time series of dual polarization Sentinel-1 (A and B) images was used. High accuracies were obtained with backscatter coefficients for both polarizations (higher than 95%) and interferometric coherence (88%). The work showed that coherence addition to single VV polarization backscatter yielded an improvement of 2-3% in general precision and 2-4 in kappa index score. Such result suggests the added value of interferometric coherence to backscattering coefficient, being a valuable source for single polarization SAR data. | es |
| dc.description.fil | Fil: Amherdt, Sebastian. Universidad Nacional de Rosario. Rosario; Argentina | es |
| dc.format | application/msword | |
| dc.format | application/octet-stream | |
| dc.format | text/plain | |
| dc.identifier.uri | http://hdl.handle.net/2133/23194 | |
| dc.language.iso | eng | es |
| dc.rights | openAccess | es |
| dc.rights.holder | Amherdt, Sebastian | es |
| dc.rights.text | https://creativecommons.org/licenses/by/4.0/ | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject | InSAR coherence | es |
| dc.subject | Crop mapping | es |
| dc.subject | Time series | es |
| dc.subject | https://biblioteca.mincyt.gob.ar/ford/2.7 | |
| dc.title | Dataset for "Assessment of interferometric coherence contribution to corn and soybean mapping with Sentinel-1 data time series" | es |
| dc.type | other | |
| dc.type | conjunto de datos | |
| dc.type | publishedVersion | |
| dc.type.version | publishedVersion | es |
Archivos
Bloque original
1 - 3 de 3
- Nombre:
- images.docx
- Tamaño:
- 28.47 KB
- Formato:
- Microsoft Word
- Descripción:
- The file contains the names of all the employed Sentinel-1 images in the work.
- Nombre:
- samples.7z
- Tamaño:
- 47.41 KB
- Formato:
- Unknown data format
- Descripción:
- The file contains all polygons employed for the classification tests proposed. That has two attributes which are the crop class and an identifier (id) used for the classifiers training and assessment. The format file is “shapefile” in WGS84 coordinate system.
- Nombre:
- train_id.csv
- Tamaño:
- 1.9 KB
- Formato:
- Plain Text
- Descripción:
- The file contains five columns correspond to each classification repetition for all the cases.
Bloque de licencias
1 - 1 de 1
- Nombre:
- license.txt
- Tamaño:
- 3.59 KB
- Formato:
- Item-specific license agreed upon to submission
- Descripción: