日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Tower-to-global upscaling of terrestrial carbon fluxes driven by MODIS-LAI, Sentinel-3-LAI and ERA5-Land data

基于MODIS-LAI、Sentinel-3-LAI和ERA5-Land数据的陆地碳通量塔尺度到全球尺度扩展

Reyes-Muñoz, Pablo; D Kovács, Dávid; Verrelst, Jochem

PyEOGPR: A Python package for vegetation trait mapping with Gaussian Process Regression on Earth observation cloud platforms

PyEOGPR:一个用于在地球观测云平台上利用高斯过程回归进行植被特征映射的Python软件包

Kovács, Dávid D; De Clerck, Emma; Verrelst, Jochem

Driving variables to explain soil organic carbon dynamics: páramo highlands of the Ecuadorian Real mountain range

解释土壤有机碳动态的驱动变量:厄瓜多尔雷亚尔山脉的帕拉莫高地

Beltrán-Dávalos, Andrés A; Ayala Izurieta, Johanna Elizabeth; Echeverría, Magdy; Jara Santillán, Carlos Arturo; Verrelst, Jochem; Delegido, Jesús; Merino, Agustín; Otero, X L

Assessment of maize nitrogen uptake from PRISMA hyperspectral data through hybrid modelling.

利用PRISMA高光谱数据通过混合模型评估玉米氮吸收情况

Ranghetti Marina, Boschetti Mirco, Ranghetti Luigi, Tagliabue Giulia, Panigada Cinzia, Gianinetto Marco, Verrelst Jochem, Candiani Gabriele

Spatial and Temporal Analysis of Water Quality in High Andean Lakes with Sentinel-2 Satellite Automatic Water Products

利用Sentinel-2卫星自动水产品对安第斯山脉高海拔湖泊水质进行时空分析

Ayala Izurieta, Johanna Elizabeth; Beltrán Dávalos, Andrés Agustín; Jara Santillán, Carlos Arturo; Godoy Ponce, Sofía Carolina; Van Wittenberghe, Shari; Verrelst, Jochem; Delegido, Jesús

In-situ start and end of growing season dates of major European crop types from France and Bulgaria at a field level

法国和保加利亚主要欧洲作物类型在田间原位生长季开始和结束日期

Ganeva, Dessislava; Tallec, Tiphaine; Brut, Aurore; Prikaziuk, Egor; Tomelleri, Enrico; Koren, Gerbrand; Verrelst, Jochem; Berger, Katja; Graf, Lukas Valentin; Belda, Santiago; Cai, Zhanzhang; Silva, Cláudio F

High-Output Chylothorax: Novel Imaging Techniques Provide Specific Treatment

高流量乳糜胸:新型影像技术提供特异性治疗

Verrelst, Lynn; Jardinet, Thomas; Ruppert, Martin; Van Schil, Paul; Snoeckx, Annemiek; Hubens, Guy; de Maat, Michiel F G

Retrieval of carbon content and biomass from hyperspectral imagery over cultivated areas

利用高光谱图像反演耕地碳含量和生物量

Wocher, Matthias; Berger, Katja; Verrelst, Jochem; Hank, Tobias

Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

光学域中用于作物胁迫检测和监测的多传感器光谱协同作用:综述

Berger, Katja; Machwitz, Miriam; Kycko, Marlena; Kefauver, Shawn C; Van Wittenberghe, Shari; Gerhards, Max; Verrelst, Jochem; Atzberger, Clement; van der Tol, Christiaan; Damm, Alexander; Rascher, Uwe; Herrmann, Ittai; Paz, Veronica Sobejano; Fahrner, Sven; Pieruschka, Roland; Prikaziuk, Egor; Buchaillot, Ma Luisa; Halabuk, Andrej; Celesti, Marco; Koren, Gerbrand; Gormus, Esra Tunc; Rossini, Micol; Foerster, Michael; Siegmann, Bastian; Abdelbaki, Asmaa; Tagliabue, Giulia; Hank, Tobias; Darvishzadeh, Roshanak; Aasen, Helge; Garcia, Monica; Pôças, Isabel; Bandopadhyay, Subhajit; Sulis, Mauro; Tomelleri, Enrico; Rozenstein, Offer; Filchev, Lachezar; Stancile, Gheorghe; Schlerf, Martin

Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning

利用辐射传输模型和机器学习技术,通过高光谱数据估算草地土壤含水量

Döpper, Veronika; Rocha, Alby Duarte; Berger, Katja; Gränzig, Tobias; Verrelst, Jochem; Kleinschmit, Birgit; Förster, Michael