Dataset: Use of Radarsat-2 ultra-fine images in horticulture-intensive farming: land use detection and crop discrimination

Version 1.0
Dataset: Use of Radarsat-2 ultra-fine images in horticulture-intensive farming: land use detection and crop discrimination
Cotlier, Carlos Gustavo; Brisco, Brian; Mondino, María Cristina; Grasso, Rodolfo; Vicioso, Benito; López, Diego Alejandro Germán; Cornero, Cecilia; Balparda, Laura Rita, 2022, "Dataset: Use of Radarsat-2 ultra-fine images in horticulture-intensive farming: land use detection and crop discrimination", https://doi.org/10.57715/UNR/YRH5LP, RDA UNR, V1, UNF:6:+oq47UcbtIS762721azgVw== [fileUNF]
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Description
This dataset corresponds to input data, processed data and results published in Cotlier et al. (2011). The research was carried out to determine the capability to discriminate crops in horticultural plots smaller than 1 ha, using Radarsat-2 satellite images, in Ultra-Fine mode of 3 m spatial resolution. The input data are: a vector cartographic database with monitored horticultural fields boundaries and crops photographic records. The processed data are: raster cartographic databases corresponding to processed Radarsat-2 satellite images. The statistical analysis results are available in comma-separated tabular format files and a spreadsheet. (2011-10-04)
El presente conjunto de datos corresponde a datos de entrada, intermedios y resultados publicados en Cotlier et al. (2011). La investigación se llevó a cabo para determinar la capacidad de discriminar cultivos en predios hortícolas menores a 1 ha, a través de imágenes satelitales Radarsat-2, en modo Ultra-Fino de 3 m de resolución espacial. Los datos de entrada son: una base cartográfica vectorial con los límites de los predios hortícolas monitoreados y un registro fotográfico de cultivos. Los datos intermedios son: bases cartográficas raster correspondientes a imágenes satelitales Radarsat-2 procesadas. Los resultados del análisis estadístico están disponibles en archivos en formato tabular separado por comas y en una planilla de cálculo. (2011-10-04)
Subject Agricultural Sciences; Earth and Environmental Sciences
Keyword Remote sensing, Synthetic Aperture Radar, Horticulture, Teledeteción, Radar de apertura sintética, Horticultura
Related Publication Cotlier, C., Brisco, B., Mondino, M. C., Grasso, R., Vicioso, B., López, D. A., Cornero, C. & Balparda, L. R. (2011). Use of Radarsat-2 ultra-fine images in horticulture–intensive farming: land use detection and crop discrimination. Canadian Journal of Remote Sensing, 37(1), 37-44. doi: 0.5589/m11-019
Notes Pre-procesamiento: calibración a σ° (sigma nought), georreferenciación y corregistración. Definición de lotes testigo utilizando datos de coordenadas relevados con un navegador personal de mano GPS GARMIN eTrex. Procesamiento: filtro de Frost mejorado 3x3 (kernel) y matriz de co-ocurrencia de textura. Análisis estadístico: obtención de medidas resúmenes en los lotes testigos (region of interest): sumatoria, promedio y desvío estándar. Cálculo de intervalos de confianza. Representación de características de los datos a través de gráficos estadísticos. Uso de los datos en los datasets: para comparar con resultados que se obtengan en otras áreas utilizando la misma metodología, para comparar con resultados que se obtengan en la misma área pero con una metodología superadora, con fines académicos, entre otros. Los datos en las imágenes satelitales Radarsat-2, la metodología y los resultados obtenidos (datasets y gráficos) revelan la capacidad del radar de alta resolución en discriminar cultivos en predios hortícolas de dimensiones pequeñas (menos de una hectárea).
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datos_cultivo_R2_UF10_2009-11-04_2009-11-28_HH_HV.tab
Tablas/Tabular Data - 2.4 KB
Published Jul 28, 2022
43 Downloads
19 Variables, 11 Observations UNF:6:+oq47UcbtIS762721azgVw==
Archivo de datos tabulares separados por comas o tabulaciones a elección. Datos estadísticos en las tablas 2 y 3. Se incluyen los valores de sigma nought (promedio, sumatoria, desvío standard e intervalo de confianza) correspondiente a las imágenes satelitales Radarsat-2 en las polarizaciones HH y HV (fechas 2009-11-04 y 2009-11-28, respectivamente).
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Preview "Tablas/datos_cultivo_R2_UF10_2009-11-04_2009-11-28_HH_HV.tab"
datos_cultivo_R2_UF10_2009-11-04_2009-11-28_HH_HV.xls
Tablas/MS Excel Spreadsheet - 97.5 KB
Published Jul 28, 2022
9 Downloads
MD5: 498e1a23b50d068c27df116e087b751c
Planilla de cálculo. Contiene datos tabulares estadísticos (tablas 2 y 3) y gráficos (figuras 4, 5 y 6). Se incluyen los valores de sigma nought (promedio, sumatoria, desvío standard e intervalo de confianza) y gráficos descriptivos sobre sigma nought correspondiente a las imágenes satelitales Radarsat-2 en las polarizaciones HH y HV (fechas 2009-11-04 y 2009-11-28, respectivamente). En los gráficos se visualiza la capacidad del sensor radar de alta resolución en la discriminación de los cultivos en los predios hortícolas.
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Esta obra está bajo una licencia internacional Atribución-NoComercial-CompartirIgual 4.0 Internacional
Cotlier, C., Brisco, B., Mondino, M. C., Grasso, R., Vicioso, B., López, D. A., Cornero, C. & Balparda, L. R. (2021). "Datos de: Use of Radarsat-2 ultra-fine images in horticulture-intensive farming: land use detection and crop discrimination", https://doi.org/10.57715/UNR/YRH5LP
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Esta obra está bajo una licencia internacional Atribución-NoComercial-CompartirIgual 4.0 Internacional
Cotlier, C., Brisco, B., Mondino, M. C., Grasso, R., Vicioso, B., López, D. A., Cornero, C. & Balparda, L. R. (2021). "Datos de: Use of Radarsat-2 ultra-fine images in horticulture-intensive farming: land use detection and crop discrimination", https://doi.org/10.57715/UNR/YRH5LP
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