Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Jesús Álvarez-Mozos"'
Evaluation of soil moisture estimation techniques based on Sentinel-1 observations over wheat fields
Autor:
María Arias, Claudia Notarnicola, Miguel Ángel Campo-Bescós, Luis Miguel Arregui, Jesús Álvarez-Mozos
Publikováno v:
Agricultural Water Management, Vol 287, Iss , Pp 108422- (2023)
Soil moisture (SM) is a key variable in agriculture and its monitoring is essential. SM determines the amount of water available to plants, having a direct impact on the development of crops, on the forecasting of crop yields and on the surveillance
Externí odkaz:
https://doaj.org/article/d34e91fbcc464bd6975f584374512c81
Publikováno v:
Remote Sensing, Vol 12, Iss 2, p 278 (2020)
Crop classification provides relevant information for crop management, food security assurance and agricultural policy design. The availability of Sentinel-1 image time series, with a very short revisit time and high spatial resolution, has great pot
Externí odkaz:
https://doaj.org/article/56be5c5fa96b439498b19d43777f3d55
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:
Revista de Teledetección, Vol 0, Iss 56, Pp 69-88 (2020)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Academica-e: Repositorio Institucional de la Universidad Pública de Navarra
Universidad Pública de Navarra
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Academica-e: Repositorio Institucional de la Universidad Pública de Navarra
Universidad Pública de Navarra
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
[ES] En junio de 2018, la Comisión Europea aprobó una modificación de la Política Agraria Común (PAC) que, entre otros aspectos, plantea el uso de imágenes del programa Copernicus para la verificar que las declaraciones presentadas por los agri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc33f0148dbda4e31c569fc546d9cdef
https://polipapers.upv.es/index.php/raet/article/view/14128
https://polipapers.upv.es/index.php/raet/article/view/14128
Publikováno v:
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
instname
Dense time series of Sentinel-1 imagery are an invaluable information source for agricultural applications. Multiple orbits can observe a specific area and their combination could improve the temporal resolution of the time series. However, the orbit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ce2475576f3eaa890cc769670e5c085
https://hdl.handle.net/2454/42709
https://hdl.handle.net/2454/42709
Publikováno v:
Sensors, Vol 9, Iss 2, Pp 1067-1093 (2009)
In the past decades, many studies on soil moisture retrieval from SAR demonstrated a poor correlation between the top layer soil moisture content and observed backscatter coefficients, which mainly has been attributed to difficulties involved in the
Externí odkaz:
https://doaj.org/article/08ee64e992474dffa742ad4a165bc8f8
Publikováno v:
IGARSS
Operational agricultural applications of remote sensing, such as crop monitoring or irrigation scheduling, often rely on the Normalized Difference Vegetation Index (NDVI) obtained from multispectral observations. Yet, cloud cover limits its availabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06cc40d1b30d2c7b3def18e81ae597ff
https://doi.org/10.1109/igarss47720.2021.9554099
https://doi.org/10.1109/igarss47720.2021.9554099
Publikováno v:
IGARSS
The objective of this article is to compare the classification accuracies obtained using Sentinel-1 and Sentinel-2 data and to evaluate the eventual benefits of their combination, as a means to support Common Agricultural Policy controls. With this a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ca610d2b61678144dd5982d47cee6e7
https://doi.org/10.1109/igarss47720.2021.9553782
https://doi.org/10.1109/igarss47720.2021.9553782
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
Autor:
Matías Ernesto Barber, Francisco Matías Grings, Jesús Álvarez-Mozos, Marcela Piscitelli, Pablo Alejandro Perna, Haydee Karszenbaum
Publikováno v:
Remote Sensing, Vol 8, Iss 6, p 458 (2016)
The spatial sampling interval, as related to the ability to digitize a soil profile with a certain number of features per unit length, depends on the profiling technique itself. From a variety of profiling techniques, roughness parameters are estimat
Externí odkaz:
https://doaj.org/article/1f0acd2ac14a4bfcaf0319321cbfd3fc