Application of deep learning in ecological resource research: Theories, methods, and challenges

Trends in ecology: shifts in ecological research themes over the past four decades

(2019) Emily McCallen et al.   FRONTIERS IN ECOLOGY AND THE ENVIRONMENT

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

A graph convolutional neural network for classification of building patterns using spatial vector data

(2019) Xiongfeng Yan et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks

(2019) Michael Wurm et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors

(2019) Zhiwei Li et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Cloud and cloud shadow detection in Landsat imagery based on deep convolutional neural networks

(2019) Dengfeng Chai et al.   REMOTE SENSING OF ENVIRONMENT

Uncovering Ecological Patterns with Convolutional Neural Networks

(2019) Philip G. Brodrick et al.   TRENDS IN ECOLOGY & EVOLUTION

Machine Learning for the Geosciences: Challenges and Opportunities

(2019) Anuj Karpatne et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks

(2019) Ben G. Weinstein et al.   Remote Sensing

Improving public data for building segmentation from Convolutional Neural Networks (CNNs) for fused airborne lidar and image data using active contours

(2019) David Griffiths et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Pyramid scene parsing network in 3D: Improving semantic segmentation of point clouds with multi-scale contextual information

(2019) Hao Fang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Multi-sensor cloud and cloud shadow segmentation with a convolutional neural network

(2019) Marc Wieland et al.   REMOTE SENSING OF ENVIRONMENT

A cloud detection algorithm for satellite imagery based on deep learning

(2019) Jacob Høxbroe Jeppesen et al.   REMOTE SENSING OF ENVIRONMENT

Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks

(2019) Shichao Jin et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

3-D Deep Learning Approach for Remote Sensing Image Classification

(2018) Amina Ben Hamida et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

(2018) Gong Cheng et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework

(2018) Zilong Zhong et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning

(2018) Ronald Kemker et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Fusion of images and point clouds for the semantic segmentation of large-scale 3D scenes based on deep learning

(2018) Rui Zhang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Developing a multi-filter convolutional neural network for semantic segmentation using high-resolution aerial imagery and LiDAR data

(2018) Ying Sun et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images

(2018) Michele Volpi et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

An explainable deep machine vision framework for plant stress phenotyping

(2018) Sambuddha Ghosal et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning

(2018) Mohammad Sadegh Norouzzadeh et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery

(2018) Bo Huang et al.   REMOTE SENSING OF ENVIRONMENT

Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning

(2018) Benjamin Kellenberger et al.   REMOTE SENSING OF ENVIRONMENT

An object-based convolutional neural network (OCNN) for urban land use classification

(2018) Ce Zhang et al.   REMOTE SENSING OF ENVIRONMENT

Modeling grassland above-ground biomass based on artificial neural network and remote sensing in the Three-River Headwaters Region

(2018) Shuxia Yang et al.   REMOTE SENSING OF ENVIRONMENT

Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms

(2018) Shichao Jin et al.   Frontiers in Plant Science

Taxon and trait recognition from digitized herbarium specimens using deep convolutional neural networks

(2018) Sohaib Younis et al.   Botany Letters

Deep learning for biology

(2018) Sarah Webb   NATURE

Deep phenotyping: deep learning for temporal phenotype/genotype classification

(2018) Sarah Taghavi Namin et al.   Plant Methods

Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives

(2018) Asheesh Kumar Singh et al.   TRENDS IN PLANT SCIENCE

The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data

(2018) Shichao Jin et al.   Remote Sensing

Ear density estimation from high resolution RGB imagery using deep learning technique

(2018) Simon Madec et al.   AGRICULTURAL AND FOREST METEOROLOGY

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

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

A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene classification

(2017) Wei Han et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

MugNet: Deep learning for hyperspectral image classification using limited samples

(2017) Bin Pan et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Acquiring and preprocessing leaf images for automated plant identification: understanding the tradeoff between effort and information gain

(2017) Michael Rzanny et al.   Plant Methods

Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization

(2017) Xiong Xiong et al.   Plant Methods

Estimates of plant density of wheat crops at emergence from very low altitude UAV imagery

(2017) Xiuliang Jin et al.   REMOTE SENSING OF ENVIRONMENT

Designing Autonomy: Opportunities for New Wildness in the Anthropocene

(2017) Bradley Cantrell et al.   TRENDS IN ECOLOGY & EVOLUTION

Recommendations for acoustic recognizer performance assessment with application to five common automated signal recognition programs

(2017) Elly C. Knight et al.   Avian Conservation and Ecology

Deep Learning for Image-Based Cassava Disease Detection

(2017) Amanda Ramcharan et al.   Frontiers in Plant Science

Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks

(2017) Jordan R. Ubbens et al.   Frontiers in Plant Science

Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

(2017) Michael P. Pound et al.   GigaScience

Deep learning for plant identification using vein morphological patterns

(2016) Guillermo L. Grinblat et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

(2016) Ross Girshick et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Rethinking big data: A review on the data quality and usage issues

(2016) Jianzheng Liu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images

(2016) Weijia Li et al.   Remote Sensing

Using Deep Learning for Image-Based Plant Disease Detection

(2016) Sharada P. Mohanty et al.   Frontiers in Plant Science

Carbon emissions from land-use change and management in China between 1990 and 2010

(2016) L. Lai et al.   Science Advances

Unsupervised dictionary extraction of bird vocalisations and new tools on assessing and visualising bird activity

(2015) Ilyas Potamitis   Ecological Informatics

Deep Learning Based Feature Selection for Remote Sensing Scene Classification

(2015) Qin Zou et al.   IEEE Geoscience and Remote Sensing Letters

Multi-Cue Illumination Estimation via a Tree-Structured Group Joint Sparse Representation

(2015) Bing Li et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

TRY - a global database of plant traits

(2011) J. KATTGE et al.   GLOBAL CHANGE BIOLOGY

Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000

(2008) Navin Ramankutty et al.   GLOBAL BIOGEOCHEMICAL CYCLES

Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000

(2008) Chad Monfreda et al.   GLOBAL BIOGEOCHEMICAL CYCLES

Machine Learning Methods Without Tears: A Primer for Ecologists

(2008) Julian D. Olden et al.   QUARTERLY REVIEW OF BIOLOGY

Non-linear autoregressive modelling by Temporal Recurrent Neural Networks for the prediction of freshwater phytoplankton dynamics

(2007) Kwang-Seuk Jeong et al.   ECOLOGICAL MODELLING