Transfer learning approach based on satellite image time series for the crop classification problem

A Review of Deep Transfer Learning and Recent Advancements

(2023) Mohammadreza Iman et al.   Technologies

Deep learning based lithology classification of drill core images

(2022) Dong Fu et al.   PLoS One

Transfer-Learning-Based Approach for Yield Prediction of Winter Wheat from Planet Data and SAFY Model

(2022) Yu Zhao et al.   Remote Sensing

Instance-based transfer learning for soil organic carbon estimation

(2022) Petar Bursać et al.   Frontiers in Environmental Science

Exploring the potential of multi-source unsupervised domain adaptation in crop mapping using Sentinel-2 images

(2022) Yumiao Wang et al.   GIScience & Remote Sensing

Digital Soil Texture Mapping and Spatial Transferability of Machine Learning Models Using Sentinel-1, Sentinel-2, and Terrain-Derived Covariates

(2022) Reza Mirzaeitalarposhti et al.   Remote Sensing

The power of transfer learning in agricultural applications: AgriNet

(2022) Zahraa Al Sahili et al.   Frontiers in Plant Science

Data analytics for crop management: a big data view

(2022) Nabila Chergui et al.   Journal of Big Data

Landslide susceptibility assessment through TrAdaBoost transfer learning models using two landslide inventories

(2022) Fu Zhiyong et al.   CATENA

An adaptive adversarial domain adaptation approach for corn yield prediction

(2021) Yuchi Ma et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep Neural Networks with Transfer Learning for Forest Variable Estimation Using Sentinel-2 Imagery in Boreal Forest

(2021) Heikki Astola et al.   Remote Sensing

Transferable deep learning model based on the phenological matching principle for mapping crop extent

(2021) Shuang Ge et al.   International Journal of Applied Earth Observation and Geoinformation

Towards interpreting multi-temporal deep learning models in crop mapping

(2021) Jinfan Xu et al.   REMOTE SENSING OF ENVIRONMENT

Transfer Learning for Crop classification with Cropland Data Layer data (CDL) as training samples

(2020) Pengyu Hao et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Crop Classification Using Multi-Temporal Sentinel-2 Data in the Shiyang River Basin of China

(2020) Zhiwei Yi et al.   Remote Sensing

Transfer learning to localise a continental soil vis-NIR calibration model

(2019) J. Padarian et al.   GEODERMA

A Deep Transfer Learning Framework for Seismic Data Analysis: A Case Study on Bright Spot Detection

(2019) Julia El Zini et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Editorial for Special Issue: “Application of Artificial Neural Networks in Geoinformatics”

(2018) Saro Lee   Applied Sciences-Basel

Deep learning based multi-temporal crop classification

(2018) Liheng Zhong et al.   REMOTE SENSING OF ENVIRONMENT

Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances

(2016) Devis Tuia et al.   IEEE Geoscience and Remote Sensing Magazine

Crop classification of upland fields using Random forest of time-series Landsat 7 ETM+ data

(2015) Kenichi Tatsumi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A Multi-Temporal and Multi-Spectral Method to Estimate Aerosol Optical Thickness over Land, for the Atmospheric Correction of FormoSat-2, LandSat, VENμS and Sentinel-2 Images

(2015) Olivier Hagolle et al.   Remote Sensing

Generating global crop distribution maps: From census to grid

(2014) Liangzhi You et al.   AGRICULTURAL SYSTEMS

Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

(2012) M. Drusch et al.   REMOTE SENSING OF ENVIRONMENT

Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program

(2011) Claire Boryan et al.   Geocarto International

Soil type classification and estimation of soil properties using support vector machines

(2009) Miloš Kovačević et al.   GEODERMA

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains

(2007) Brian D. Wardlow et al.   REMOTE SENSING OF ENVIRONMENT