A machine learning approach for identifying and delineating agricultural fields and their multi-temporal dynamics using three decades of Landsat data

Mapping Center Pivot Irrigation Systems in the Southern Amazon from Sentinel-2 Images

(2021) Jiwen Tang et al.   Water

Increasing Shape Bias to Improve the Precision of Center Pivot Irrigation System Detection

(2021) Jiwen Tang et al.   Remote Sensing

Detecting Crop Circles in Google Earth Images with Mask R-CNN and YOLOv3

(2021) Mohamed Lamine Mekhalfi et al.   Applied Sciences-Basel

Center pivot field delineation and mapping: A satellite-driven object-based image analysis approach for national scale accounting

(2021) Kasper Johansen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Automatic Mapping of Center Pivot Irrigation Systems from Satellite Images Using Deep Learning

(2020) Marciano Saraiva et al.   Remote Sensing

Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network

(2020) François Waldner et al.   REMOTE SENSING OF ENVIRONMENT

Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data

(2020) Anesmar Olino de Albuquerque et al.   Remote Sensing

Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine

(2020) Aparna R. Phalke et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Semantic Segmentation of Sentinel-2 Imagery for Mapping Irrigation Center Pivots

(2020) Lukas Graf et al.   Remote Sensing

Instance Segmentation for Large, Multi-Channel Remote Sensing Imagery Using Mask-RCNN and a Mosaicking Approach

(2020) Osmar Luiz Ferreira de Carvalho et al.   Remote Sensing

A comparison of object-based image analysis approaches for field boundary delineation using multi-temporal Sentinel-2 imagery

(2019) Barry Watkins et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Delineation of agricultural fields in smallholder farms from satellite images using fully convolutional networks and combinatorial grouping

(2019) C. Persello et al.   REMOTE SENSING OF ENVIRONMENT

Using deep learning to map retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau) from CubeSat images

(2019) Lingcao Huang et al.   REMOTE SENSING OF ENVIRONMENT

Delineation of Agricultural Field Boundaries from Sentinel-2 Images Using a Novel Super-Resolution Contour Detector Based on Fully Convolutional Networks

(2019) Khairiya Mudrik Masoud et al.   Remote Sensing

An automated approach for wood-leaf separation from terrestrial LIDAR point clouds using the density based clustering algorithm DBSCAN

(2018) Roberto Ferrara et al.   AGRICULTURAL AND FOREST METEOROLOGY

A survey on deep learning techniques for image and video semantic segmentation

(2018) Alberto Garcia-Garcia et al.   APPLIED SOFT COMPUTING

A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

(2018) Yaping Cai et al.   REMOTE SENSING OF ENVIRONMENT

Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis

(2018) Mariana Belgiu et al.   REMOTE SENSING OF ENVIRONMENT

CubeSats Enable High Spatiotemporal Retrievals of Crop-Water Use for Precision Agriculture

(2018) Bruno Aragon et al.   Remote Sensing

Detection of cropland field parcels from Landsat imagery

(2017) Jordan Graesser et al.   REMOTE SENSING OF ENVIRONMENT

AROSICS: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data

(2017) Daniel Scheffler et al.   Remote Sensing

A Combined Random Forest and OBIA Classification Scheme for Mapping Smallholder Agriculture at Different Nomenclature Levels Using Multisource Data (Simulated Sentinel-2 Time Series, VHRS and DEM)

(2017) Valentine Lebourgeois et al.   Remote Sensing

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Conterminous United States crop field size quantification from multi-temporal Landsat data

(2016) L. Yan et al.   REMOTE SENSING OF ENVIRONMENT

Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product

(2016) Eric Vermote et al.   REMOTE SENSING OF ENVIRONMENT

Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories

(2015) Shengli Tao et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Oil Tanks Extraction from High Resolution Imagery Using a Directional and Weighted Hough Voting Method

(2015) Wei Zhao et al.   Journal of the Indian Society of Remote Sensing

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

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

(2015) Qingting Li et al.   Remote Sensing

Impacts of agricultural policy on irrigation water demand: a case study of Saudi Arabia

(2014) Omar K.M. Ouda   INTERNATIONAL JOURNAL OF WATER RESOURCES DEVELOPMENT

Automated crop field extraction from multi-temporal Web Enabled Landsat Data

(2014) L. Yan et al.   REMOTE SENSING OF ENVIRONMENT

The global groundwater crisis

(2014) J. S. Famiglietti   Nature Climate Change

Object-Based Image Classification of Summer Crops with Machine Learning Methods

(2014) José Peña et al.   Remote Sensing

Field-based sub-boundary extraction from remote sensing imagery using perceptual grouping

(2013) Mustafa Turker et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Accuracy Assessment Measures for Object-based Image Segmentation Goodness

(2013) Nicholas Clinton et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Satellite Irrigation Management Support With the Terrestrial Observation and Prediction System: A Framework for Integration of Satellite and Surface Observations to Support Improvements in Agricultural Water Resource Management

(2012) Forrest S. Melton et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Object Based Image Analysis and Data Mining applied to a remotely sensed Landsat time-series to map sugarcane over large areas

(2012) Matheus Alves Vieira et al.   REMOTE SENSING OF ENVIRONMENT

Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture

(2012) V.F. Rodriguez-Galiano et al.   REMOTE SENSING OF ENVIRONMENT

An assessment of the effectiveness of a random forest classifier for land-cover classification

(2011) V.F. Rodriguez-Galiano et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery

(2011) Dennis C. Duro et al.   REMOTE SENSING OF ENVIRONMENT

Cadastral maps of irrigated areas by center pivots in the State of Minas Gerais, using CBERS-2B/CCD satellite imaging

(2011) Elizabeth Ferreira et al.   Engenharia Agricola

Enabling scalable spectral clustering for image segmentation

(2010) Frederick Tung et al.   PATTERN RECOGNITION

The delineation of agricultural management zones with high resolution remotely sensed data

(2009) Xiaoyu Song et al.   PRECISION AGRICULTURE

Spectral Clustering Ensemble Applied to SAR Image Segmentation

(2008) Xiangrong Zhang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING