Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Maria Gonzalez-Audicana"'
Autor:
Maria Arias, Miguel Angel Campo-Bescos, Luis Miguel Arregui, Maria Gonzalez-Audicana, Jesus Alvarez-Mozos
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-14
Wheat is one of the most important crops worldwide, and thus the use of remote sensing data for wheat monitoring has attracted much interest. Synthetic Aperture Radar (SAR) observations show that, at C-band and VV polarization, wheat canopy attenuate
Autor:
Milton J. Campero-Taboada, Eduardo Luquin, Manuel Montesino-SanMartin, María González-Audícana, Miguel A. Campo-Bescós
Publikováno v:
Remote Sensing, Vol 14, Iss 14, p 3404 (2022)
The aim of this study was to compare the available tools in R for downloading and processing Moderate Resolution Imaging Spectroradiometer (MODIS) data, specifically the Enhanced Vegetation Index (EVI) product. The R tools evaluated were the MODIS pa
Externí odkaz:
https://doaj.org/article/587d653c17d74c788c7ee38cda3cbbac
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4719 (2021)
The aim of this study was to assess the utility of Sentinel-2 images in the monitoring of the fractional vegetation cover (FVC) of rainfed alfalfa in semiarid areas such as that of Bardenas Reales in Spain. FVC was sampled in situ using 1 m2 surfaces
Externí odkaz:
https://doaj.org/article/941b4e75161a4c2faac8ed4791bbdb07
Publikováno v:
Remote Sensing, Vol 7, Iss 3, Pp 2942-2951 (2015)
A new procedure to assess the quality of topographic correction (TOC) algorithms applied to remote sensing imagery was previously proposed by the authors. This procedure was based on a model that simulated synthetic scenes, representing the radiance
Externí odkaz:
https://doaj.org/article/7c9002f84c614c34913a09078debe3d6
Publikováno v:
Remote Sensing, Vol 9, Iss 5, p 492 (2017)
Permanent crops, such as olive groves, vineyards and fruit trees, are important in European agriculture because of their spatial and economic relevance. Agricultural geographical databases (AGDBs) are commonly used by public bodies to gain knowledge
Externí odkaz:
https://doaj.org/article/9602719ea9b74317a30a8214b1136948
Publikováno v:
Remote Sensing, Vol 8, Iss 2, p 131 (2016)
Satellite images in mountainous areas are strongly affected by topography. Different studies demonstrated that the results of semi-empirical topographic correction algorithms improved when a stratification of land covers was carried out first. Howeve
Externí odkaz:
https://doaj.org/article/69dfa95882d0465fa111e26ffb7b3576