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Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using
  Machine Learning Methods Trained with Radiative Transfer Simulations

Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations

7 December 2020
Aleksandra Wolanin
Gustau Camps-Valls
L. Gómez-Chova
Gonzalo Mateo-García
C. Tol
Yongguang Zhang
L. Guanter
ArXiv (abs)PDFHTML

Papers citing "Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations"

7 / 7 papers shown
Deep Learning Meets Process-Based Models: A Hybrid Approach to Agricultural Challenges
Deep Learning Meets Process-Based Models: A Hybrid Approach to Agricultural Challenges
Yue Shi
Liangxiu Han
Xin Zhang
Tam Sobeih
T. Gaiser
Nguyen Huu Thuy
Dominik Behrend
A. Srivastava
Krishnagopal Halder
F. Ewert
AI4CE
288
8
0
22 Apr 2025
SITSMamba for Crop Classification based on Satellite Image Time Series
SITSMamba for Crop Classification based on Satellite Image Time Series
Xiaolei Qin
Xin Su
Liangpei Zhang
Mamba
368
6
0
15 Sep 2024
Artificial intelligence to advance Earth observation: a perspective
Artificial intelligence to advance Earth observation: a perspectiveIEEE Geoscience and Remote Sensing Magazine (GRSM), 2023
D. Tuia
Konrad Schindler
Begüm Demir
Gustau Camps-Valls
Xiao Xiang Zhu
...
Mihai Datcu
Jorge-Arnulfo Quiané-Ruiz
Volker Markl
Bertrand Le Saux
Rochelle Schneider
357
33
0
15 May 2023
Multi-modal learning for geospatial vegetation forecasting
Multi-modal learning for geospatial vegetation forecastingComputer Vision and Pattern Recognition (CVPR), 2023
V. Benson
Claire Robin
C. Requena-Mesa
Lazaro Alonso
Nuno Carvalhais
José A. Cortés
Zhihan Gao
Nora Linscheid
M. Weynants
Markus Reichstein
325
29
0
28 Mar 2023
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture
A systematic review of the use of Deep Learning in Satellite Imagery for AgricultureIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), 2022
Brandon Victor
Zhen He
Aiden Nibali
436
31
0
03 Oct 2022
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with
  Radiometric Consistency Losses and Its Effect on Building Delineation
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building DelineationIsprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2021
Muhammed Razzak
Gonzalo Mateo-García
L. Gómez-Chova
Y. Gal
F. Kalaitzis
190
59
0
05 Nov 2021
EarthNet2021: A large-scale dataset and challenge for Earth surface
  forecasting as a guided video prediction task
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task
C. Requena-Mesa
V. Benson
Markus Reichstein
J. Runge
Joachim Denzler
276
66
0
16 Apr 2021
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