Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN)

Smallholder maize area and yield mapping at national scales with Google Earth Engine

(2019) Zhenong Jin et al.   REMOTE SENSING OF ENVIRONMENT

Land Cover Classification Using Features Generated From Annual Time-Series Landsat Data

(2018) Jingge Xiao et al.   IEEE Geoscience and Remote Sensing Letters

Unsupervised Spectral–Spatial Feature Learning via Deep Residual Conv–Deconv Network for Hyperspectral Image Classification

(2018) Lichao Mou et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Beyond RGB: Very high resolution urban remote sensing with multimodal deep networks

(2018) Nicolas Audebert et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data

(2018) Haobo Lyu et al.   Remote Sensing

Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders

(2018) Marc Rußwurm et al.   ISPRS International Journal of Geo-Information

Object-oriented crop classification using multitemporal ETM+ SLC-off imagery and random forest

(2018) John A. Long et al.   GIScience & Remote Sensing

How much does multi-temporal Sentinel-2 data improve crop type classification?

(2018) Francesco Vuolo et al.   International Journal of Applied Earth Observation and Geoinformation

Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

(2017) Nataliia Kussul et al.   IEEE Geoscience and Remote Sensing Letters

High-Resolution Aerial Image Labeling With Convolutional Neural Networks

(2017) Emmanuel Maggiori et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Stacked sparse autoencoder in hyperspectral data classification using spectral-spatial, higher order statistics and multifractal spectrum features

(2017) Xiaoqing Wan et al.   INFRARED PHYSICS & TECHNOLOGY

Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

(2017) Jun Xiong et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A Bayesian hierarchical model for estimating spatial and temporal variation in vegetation phenology from Landsat time series

(2017) Cornelius Senf et al.   REMOTE SENSING OF ENVIRONMENT

eFarm: A Tool for Better Observing Agricultural Land Systems

(2017) Qiangyi Yu et al.   SENSORS

Improvement of spatially and temporally continuous crop leaf area index by integration of CERES-Maize model and MODIS data

(2016) Huaan Jin et al.   EUROPEAN JOURNAL OF AGRONOMY

Efficiency Assessment of Multitemporal C-Band Radarsat-2 Intensity and Landsat-8 Surface Reflectance Satellite Imagery for Crop Classification in Ukraine

(2016) Sergii Skakun et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Parcel-Based Crop Classification in Ukraine Using Landsat-8 Data and Sentinel-1A Data

(2016) Nataliia Kussul et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

A comprehensive assessment of the correlations between field crop yields and commonly used MODIS products

(2016) David M. Johnson   International Journal of Applied Earth Observation and Geoinformation

Performance evaluation of object based greenhouse detection from Sentinel-2 MSI and Landsat 8 OLI data: A case study from Almería (Spain)

(2016) Antonio Novelli et al.   International Journal of Applied Earth Observation and Geoinformation

Optical remotely sensed time series data for land cover classification: A review

(2016) Cristina Gómez et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

An Assessment of Algorithmic Parameters Affecting Image Classification Accuracy by Random Forests

(2016) et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Circumpolar vegetation dynamics product for global change study

(2016) Alemu Gonsamo et al.   REMOTE SENSING OF ENVIRONMENT

An evaluation of time-series smoothing algorithms for land-cover classifications using MODIS-NDVI multi-temporal data

(2016) Yang Shao et al.   REMOTE SENSING OF ENVIRONMENT

Estimating maize biomass and yield over large areas using high spatial and temporal resolution Sentinel-2 like remote sensing data

(2016) Marjorie Battude et al.   REMOTE SENSING OF ENVIRONMENT

A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research

(2016) Reza Khatami et al.   REMOTE SENSING OF ENVIRONMENT

Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection

(2016) Haobo Lyu et al.   Remote Sensing

Improving winter wheat yield estimation by assimilation of the leaf area index from Landsat TM and MODIS data into the WOFOST model

(2015) Jianxi Huang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Improving the monitoring of crop productivity using spaceborne solar-induced fluorescence

(2015) Kaiyu Guan et al.   GLOBAL CHANGE BIOLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Land surface phenology along urban to rural gradients in the U.S. Great Plains

(2015) J.J. Walker et al.   REMOTE SENSING OF ENVIRONMENT

Modeling grassland spring onset across the Western United States using climate variables and MODIS-derived phenology metrics

(2015) Qinchuan Xin et al.   REMOTE SENSING OF ENVIRONMENT

Mapping land cover in complex Mediterranean landscapes using Landsat: Improved classification accuracies from integrating multi-seasonal and synthetic imagery

(2015) Cornelius Senf et al.   REMOTE SENSING OF ENVIRONMENT

Improved time series land cover classification by missing-observation-adaptive nonlinear dimensionality reduction

(2015) L. Yan et al.   REMOTE SENSING OF ENVIRONMENT

Empirical evidence of El Niño–Southern Oscillation influence on land surface phenology and productivity in the western United States

(2015) Matthew P. Dannenberg et al.   REMOTE SENSING OF ENVIRONMENT

A Hidden Markov Models Approach for Crop Classification: Linking Crop Phenology to Time Series of Multi-Sensor Remote Sensing Data

(2015) Sofia Siachalou et al.   Remote Sensing

Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data

(2015) Qingting Li et al.   Remote Sensing

Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA

(2015) Pengyu Hao et al.   Remote Sensing

An Automated Method for Annual Cropland Mapping along the Season for Various Globally-Distributed Agrosystems Using High Spatial and Temporal Resolution Time Series

(2015) Nicolas Matton et al.   Remote Sensing

Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images

(2014) Christopher Conrad et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Dryland vegetation phenology across an elevation gradient in Arizona, USA, investigated with fused MODIS and Landsat data

(2014) J.J. Walker et al.   REMOTE SENSING OF ENVIRONMENT

How Could Agricultural Land Systems Contribute to Raise Food Production Under Global Change?

(2014) Wen-bin WU et al.   Journal of Integrative Agriculture

Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines

(2013) F. Löw et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A data mining approach for evaluation of optimal time-series of MODIS data for land cover mapping at a regional level

(2013) Fuqun Zhou et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Phenology-based Crop Classification Algorithm and its Implications on Agricultural Water Use Assessments in California’s Central Valley

(2013) Liheng Zhong et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Classification of MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil

(2011) Damien Arvor et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Object-based crop identification using multiple vegetation indices, textural features and crop phenology

(2011) José M. Peña-Barragán 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

A comparison of MODIS 250-m EVI and NDVI data for crop mapping: a case study for southwest Kansas

(2010) Brian D. Wardlow et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Object based image analysis for remote sensing

(2009) T. Blaschke   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Remote sensing imagery in vegetation mapping: a review

(2008) Y. Xie et al.   Journal of Plant Ecology

Phenologically-tuned MODIS NDVI-based production anomaly estimates for Zimbabwe

(2008) Chris Funk et al.   REMOTE SENSING OF ENVIRONMENT

The use of high‐resolution image time series for crop classification and evapotranspiration estimate over an irrigated area in central Morocco

(2007) V. Simonneaux et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil

(2007) Gillian L. Galford et al.   REMOTE SENSING OF ENVIRONMENT