Related references
Note: Only part of the references are listed.Multi-modal temporal attention models for crop mapping from satellite time series
Vivien Sainte Fare Garnot et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2022)
Early- and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach
Chenxi Lin et al.
REMOTE SENSING OF ENVIRONMENT (2022)
Mapping corn dynamics using limited but representative samples with adaptive strategies
Yanan Wen et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2022)
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery
Libo Wang et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2022)
Cloud Removal for Optical Remote Sensing Imagery Using Distortion Coding Network Combined with Compound Loss Functions
Jianjun Zhou et al.
REMOTE SENSING (2022)
Evidence of sweet corn yield losses from rising temperatures
Daljeet S. Dhaliwal et al.
SCIENTIFIC REPORTS (2022)
Crop-specific phenomapping by fusing Landsat and Sentinel data with MODIS time series
Jonas Schreier et al.
EUROPEAN JOURNAL OF REMOTE SENSING (2021)
SceneNet: Remote sensing scene classification deep learning network using multi-objective neural evolution architecture search
Ailong Ma et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)
PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery
Xian Sun et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)
Crop mapping from image time series: Deep learning with multi-scale label hierarchies
Mehmet Ozgur Turkoglu et al.
REMOTE SENSING OF ENVIRONMENT (2021)
Towards interpreting multi-temporal deep learning models in crop mapping
Jinfan Xu et al.
REMOTE SENSING OF ENVIRONMENT (2021)
Nutritional quality of crops in a high CO2 world: an agenda for research and technology development
Kristie L. Ebi et al.
ENVIRONMENTAL RESEARCH LETTERS (2021)
Mapping crop types in complex farming areas using SAR imagery with dynamic time warping
Getachew Workineh Gella et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)
Video object detection with a convolutional regression tracker
Ye Lyu et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)
Two shifts for crop mapping: Leveraging aggregate crop statistics to improve satellite-based maps in new regions
Dan M. Kluger et al.
REMOTE SENSING OF ENVIRONMENT (2021)
Evaluation of Five Deep Learning Models for Crop Type Mapping Using Sentinel-2 Time Series Images with Missing Information
Hongwei Zhao et al.
REMOTE SENSING (2021)
Massive soybean expansion in South America since 2000 and implications for conservation
Xiao-Peng Song et al.
NATURE SUSTAINABILITY (2021)
TimeSen2Crop: A Million Labeled Samples Dataset of Sentinel 2 Image Time Series for Crop-Type Classification
Giulio Weikmann et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)
Learning discriminative spatiotemporal features for precise crop classification from multi-temporal satellite images
Shunping Ji et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2020)
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping
Jinfan Xu et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Automatic Crop Classification in Northeastern China by Improved Nonlinear Dimensionality Reduction for Satellite Image Time Series
Yongguang Zhai et al.
REMOTE SENSING (2020)
Self-attention for raw optical Satellite Time Series Classification
Marc Russwurm et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
A CNN-Transformer Hybrid Approach for Crop Classification Using Multitemporal Multisensor Images
Zhengtao Li et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2020)
Visual object tracking based on adaptive Siamese and motion estimation network
Hossein Kashiani et al.
IMAGE AND VISION COMPUTING (2019)
Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques
Sherrie Wang et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Deep learning based multi-temporal crop classification
Liheng Zhong et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series
Charlotte Pelletier et al.
REMOTE SENSING (2019)
A Novel Spatio-Temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images
Nima Teimouri et al.
REMOTE SENSING (2019)
Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes
Qi Wang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)
Delineation of agricultural fields in smallholder farms from satellite images using fully convolutional networks and combinatorial grouping
C. Persello et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Key issues in rigorous accuracy assessment of land cover products
Stephen V. Stehman et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Needle in a haystack: Mapping rare and infrequent crops using satellite imagery and data balancing methods
Francois Waldner et al.
REMOTE SENSING OF ENVIRONMENT (2019)
BASNet: Boundary-Aware Salient Object Detection
Xuebin Qin et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
Agricultural and Applied Economics Priorities for Solving Societal Challenges
Jill J. McCluskey et al.
APPLIED ECONOMIC PERSPECTIVES AND POLICY (2018)
A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach
Yaping Cai et al.
REMOTE SENSING OF ENVIRONMENT (2018)
3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images
Shunping Ji et al.
REMOTE SENSING (2018)
Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders
Marc Russwurm et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2018)
Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data
Nataliia Kussul et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
MODIS phenology-derived, multi-year distribution of conterminous US crop types
Richard Massey et al.
REMOTE SENSING OF ENVIRONMENT (2017)
A multi-resolution approach to national-scale cultivated area estimation of soybean
LeeAnn King et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery
Feng Gao et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Temporal Vegetation Modelling using Long Short-Term Memory Networks for Crop Identification from Medium-Resolution Multi-Spectral Satellite Images
Marc Russwurm et al.
2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) (2017)
Deeply Supervised Salient Object Detection with Short Connections
Qibin Hou et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Random forest in remote sensing: A review of applications and future directions
Mariana Belgiu et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)
An Assessment of Algorithmic Parameters Affecting Image Classification Accuracy by Random Forests
Di Shi et al.
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2016)
A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research
Reza Khatami et al.
REMOTE SENSING OF ENVIRONMENT (2016)
Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas
Charlotte Pelletier et al.
REMOTE SENSING OF ENVIRONMENT (2016)
Land surface phenology along urban to rural gradients in the US Great Plains
J. J. Walker et al.
REMOTE SENSING OF ENVIRONMENT (2015)
Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery
Liheng Zhong et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Near real-time prediction of US corn yields based on time-series MODIS data
Toshihiro Sakamoto et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Modifying the G'DAY process-based model to simulate the spatial variability of Eucalyptus plantation growth on deep tropical soils
Claire Marsden et al.
FOREST ECOLOGY AND MANAGEMENT (2013)
Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines
F. Loew et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2013)
Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
Claire Boryan et al.
GEOCARTO INTERNATIONAL (2011)
The response of African land surface phenology to large scale climate oscillations
Molly E. Brown et al.
REMOTE SENSING OF ENVIRONMENT (2010)
Satellite-based near-real-time estimation of irrigated crop water consumption
Qiuhong Tang et al.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2009)
Phenologically-tuned MODIS NDVI-based production anomaly estimates for Zimbabwe
Chris Funk et al.
REMOTE SENSING OF ENVIRONMENT (2009)
The use of high-resolution image time series for crop classification and evapotranspiration estimate over an irrigated area in central Morocco
V. Simonneaux et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2008)
A crop phenology detection method using time-series MODIS data
T Sakamoto et al.
REMOTE SENSING OF ENVIRONMENT (2005)
Mapping paddy rice agriculture in southern China using multi-temporal MODIS images
XM Xiao et al.
REMOTE SENSING OF ENVIRONMENT (2005)
Share Paper
