Zobrazeno 1 - 10
of 78
pro vyhledávání: '"François Waldner"'
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5738 (2022)
Crop field boundaries aid in mapping crop types, predicting yields, and delivering field-scale analytics to farmers. Recent years have seen the successful application of deep learning to delineating field boundaries in industrial agricultural systems
Externí odkaz:
https://doaj.org/article/35517a6cb4a84ef0a07714ff6d963bfa
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 91, Iss , Pp 102114- (2020)
A precise knowledge of the crop distribution in the landscape is crucial for the agricultural sector to inform better management and logistics. Crop-type maps are often derived by the supervised classification of satellite imagery using machine learn
Externí odkaz:
https://doaj.org/article/e1b5edc4a63a4806a706b73f4567e44b
Publikováno v:
Remote Sensing, Vol 13, Iss 18, p 3707 (2021)
Change detection, i.e., the identification per pixel of changes for some classes of interest from a set of bi-temporal co-registered images, is a fundamental task in the field of remote sensing. It remains challenging due to unrelated forms of change
Externí odkaz:
https://doaj.org/article/c2e5c85e36f6447baf7095cf238bba60
Autor:
François Waldner, Foivos I. Diakogiannis, Kathryn Batchelor, Michael Ciccotosto-Camp, Elizabeth Cooper-Williams, Chris Herrmann, Gonzalo Mata, Andrew Toovey
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2197 (2021)
Digital agriculture services can greatly assist growers to monitor their fields and optimize their use throughout the growing season. Thus, knowing the exact location of fields and their boundaries is a prerequisite. Unlike property boundaries, which
Externí odkaz:
https://doaj.org/article/361e719f545a4dfc8f2b24bff2865429
Publikováno v:
Remote Sensing, Vol 7, Iss 12, Pp 16204-16225 (2015)
In order to monitor crop growth along the season with synthetic aperture radar (SAR) images, radiative transfer models were developed to retrieve key biophysical parameters, such as the Leaf Area Index (LAI). The semi-empirical water cloud model (WCM
Externí odkaz:
https://doaj.org/article/f46952412d1a47e793b95b7ff64506b1
Autor:
François Waldner
Publikováno v:
Remote Sensing, Vol 12, Iss 15, p 2483 (2020)
In remote sensing, the term accuracy typically expresses the degree of correctness of a map. Best practices in accuracy assessment have been widely researched and include guidelines on how to select validation data using probability sampling designs.
Externí odkaz:
https://doaj.org/article/5e2bb7e3b8994c3c8402b8f0c4e42b6d
Autor:
Yang Chen, Tim R. McVicar, Randall J. Donohue, Nikhil Garg, François Waldner, Noboru Ota, Lingtao Li, Roger Lawes
Publikováno v:
Remote Sensing, Vol 12, Iss 10, p 1653 (2020)
The onus for monitoring crop growth from space is its ability to be applied anytime and anywhere, to produce crop yield estimates that are consistent at both the subfield scale for farming management strategies and the country level for national crop
Externí odkaz:
https://doaj.org/article/9572d1970c294102aa33830f6ff49cf5
Publikováno v:
Remote Sensing, Vol 12, Iss 8, p 1337 (2020)
Fallows are widespread in dryland cropping systems. However, timely information about their spatial extent and location remains scarce. To overcome this lack of information, we propose to classify fractional cover data from Sentinel-2 with biased sup
Externí odkaz:
https://doaj.org/article/856b808f67ca4ade8e9c8a64ee5bdade
Publikováno v:
Remote Sensing, Vol 12, Iss 2, p 257 (2020)
Reference data collected to validate land-cover maps are generally considered free of errors. In practice, however, they contain errors despite best efforts to minimize them. These errors propagate during accuracy assessment and tweak the validation
Externí odkaz:
https://doaj.org/article/25ed44b6ec2340bbadadc40cf787a662
Autor:
Damien Christophe Jacques, Eduardo Marinho, Raphaël d'Andrimont, François Waldner, Julien Radoux, Frédéric Gaspart, Pierre Defourny
Publikováno v:
Heliyon, Vol 4, Iss 1 (2018)
In sub-Saharan Africa, transaction costs are believed to be the most significant barrier that prevents smallholders and farmers from gaining access to markets and productive assets. In this study, we explore the impact of social capital on millet pri
Externí odkaz:
https://doaj.org/article/544b3e6140d94a1f8eea60063abec1f0