Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Ramin Heidarian Dehkordi"'
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 111-141 (2022)
It can be challenging to fuse remotely-sensed images with large differences in spatial resolutions. In this paper, we used additive wavelet transform (AWT) to fuse Landsat-8 (30 m) and unmanned aerial vehicle (UAV) images (7 cm and 3.7 cm for thermal
Externí odkaz:
https://doaj.org/article/596135ddd3f74126848d4d08ce2ad540
Autor:
Ramin Heidarian Dehkordi, Gabriele Candiani, Francesco Nutini, Federico Carotenuto, Beniamino Gioli, Carla Cesaraccio, Mirco Boschetti
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 492 (2024)
At present, it is critical to accurately monitor wheat crops to help decision-making processes in precision agriculture. This research aims to retrieve various wheat crop traits from hyperspectral data using machine learning regression algorithms (ML
Externí odkaz:
https://doaj.org/article/b4b647605b644ac7b174d09a4ae6be42
Autor:
Ignazio Gallo, Anwar Ur Rehman, Ramin Heidarian Dehkordi, Nicola Landro, Riccardo La Grassa, Mirco Boschetti
Publikováno v:
Remote Sensing, Vol 15, Iss 2, p 539 (2023)
Weeds are a crucial threat to agriculture, and in order to preserve crop productivity, spreading agrochemicals is a common practice with a potential negative impact on the environment. Methods that can support intelligent application are needed. Ther
Externí odkaz:
https://doaj.org/article/142632fe0a3a48ea9fefb25f4bf2c75f
Autor:
Ramin Heidarian Dehkordi, Antoine Denis, Julien Fouche, Victor Burgeon, Jean Thomas Cornelis, Bernard Tychon, Edmundo Placencia Gomez, Jeroen Meersmans
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 91, Iss , Pp 102147- (2020)
In recent years, special attention has been given to the long-term effects of biochar on the performance of agro-ecosystems owing to its potential for improving soil fertility, harvested crop yields, and aboveground biomass production. The present ex
Externí odkaz:
https://doaj.org/article/9cc4ddc949794f7ba65c768c909c6ab4
Publikováno v:
Remote Sensing, Vol 12, Iss 22, p 3696 (2020)
During the past decade, imagery data acquired from unmanned aerial vehicles (UAVs), thanks to their high spatial, spectral, and temporal resolutions, have attracted increasing attention for discriminating healthy from diseased plants and monitoring t
Externí odkaz:
https://doaj.org/article/8e2e9caf81c24b0bba050ba49626727a
Autor:
Ramin Heidarian Dehkordi, Victor Burgeon, Julien Fouche, Edmundo Placencia Gomez, Jean-Thomas Cornelis, Frederic Nguyen, Antoine Denis, Jeroen Meersmans
Publikováno v:
Remote Sensing, Vol 12, Iss 15, p 2504 (2020)
Remote sensing data play a crucial role in monitoring crop dynamics in the context of precision agriculture by characterizing the spatial and temporal variability of crop traits. At present there is special interest in assessing the long-term impacts
Externí odkaz:
https://doaj.org/article/f7ac203d49e242f699d90ec3744649f4
Autor:
Ramin Heidarian Dehkordi, Francesco Nutini, Simone Mereu, Gabriele Candiani, Margherita De Peppo, Mirco Boschetti
Publikováno v:
2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).
Autor:
Sarah Garré, Gilles Colinet, Julien Fouché, Ramin Heidarian-Dehkordi, Jean-Thomas Cornélis, Victor Burgeon
The amendment of biochar to soils is often considered for its potential as a climate change mitigation and adaptation tool through agriculture. Its presence in tropical agroecosystems has been reported to positively impact soil productivity whilst su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d119b6520c4b45f83ef0b1b3bdf66bd0
https://doi.org/10.5194/egusphere-egu21-15676
https://doi.org/10.5194/egusphere-egu21-15676
Autor:
Victor Burgeon, Julien Fouché, Sarah Garré, Ramin Heidarian Dehkordi, Gilles Colinet, Jean-Thomas Cornelis
Publikováno v:
Agriculture, Ecosystems & Environment. 328:107847
Autor:
Meersmans, Ramin Heidarian Dehkordi, Victor Burgeon, Julien Fouche, Edmundo Placencia Gomez, Jean-Thomas Cornelis, Frederic Nguyen, Antoine Denis, Jeroen
Publikováno v:
Remote Sensing; Volume 12; Issue 15; Pages: 2504
Remote sensing data play a crucial role in monitoring crop dynamics in the context of precision agriculture by characterizing the spatial and temporal variability of crop traits. At present there is special interest in assessing the long-term impacts