Mapping Maize Area in Heterogeneous Agricultural Landscape with Multi-Temporal Sentinel-1 and Sentinel-2 Images Based on Random Forest

Large-scale crop type and crop area mapping across Brazil using synthetic aperture radar and optical imagery

(2021) Olaniyi A. Ajadi et al.   International Journal of Applied Earth Observation and Geoinformation

Classification of multitemporal Sentinel-2 data for field-level monitoring of rice cropping practices in Taiwan

(2020) Nguyen-Thanh Son et al.   ADVANCES IN SPACE RESEARCH

Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine

(2020) Nanshan You et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Optimizing Feature Selection of Individual Crop Types for Improved Crop Mapping

(2020) Leikun Yin et al.   Remote Sensing

Crop Classification Based on Temporal Signatures of Sentinel-1 Observations over Navarre Province, Spain

(2020) María Arias et al.   Remote Sensing

Evaluation of Sentinel-1 & 2 time series for predicting wheat and rapeseed phenological stages

(2020) Audrey Mercier et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Early Identification of Seed Maize and Common Maize Production Fields Using Sentinel-2 Images

(2020) Tianwei Ren et al.   Remote Sensing

Accessing the temporal and spectral features in crop type mapping using multi-temporal Sentinel-2 imagery: A case study of Yi’an County, Heilongjiang province, China

(2020) Hongyan Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

In-Season Mapping of Irrigated Crops Using Landsat 8 and Sentinel-1 Time Series

(2019) Valérie Demarez et al.   Remote Sensing

Evaluating Combinations of Temporally Aggregated Sentinel-1, Sentinel-2 and Landsat 8 for Land Cover Mapping with Google Earth Engine

(2019) Luis Carrasco et al.   Remote Sensing

Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques

(2019) Sherrie Wang et al.   REMOTE SENSING OF ENVIRONMENT

DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn

(2019) Roberto Interdonato et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Using of Multi-Source and Multi-Temporal Remote Sensing Data Improves Crop-Type Mapping in the Subtropical Agriculture Region

(2019) Chuanliang Sun et al.   SENSORS

Evaluation of Sentinel-1 and 2 Time Series for Land Cover Classification of Forest–Agriculture Mosaics in Temperate and Tropical Landscapes

(2019) Audrey Mercier et al.   Remote Sensing

Monitoring and Mapping of Rice Cropping Pattern in Flooding Area in the Vietnamese Mekong Delta Using Sentinel-1A Data: A Case of An Giang Province

(2019) Huynh Vuong Thu Minh et al.   ISPRS International Journal of Geo-Information

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

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

Automated Near-Real-Time Mapping and Monitoring of Rice Extent, Cropping Patterns, and Growth Stages in Southeast Asia Using Sentinel-1 Time Series on a Google Earth Engine Platform

(2019) Rudiyanto et al.   Remote Sensing

Mapping paddy rice by the object-based random forest method using time series Sentinel-1/Sentinel-2 data

(2019) Yaotong Cai et al.   ADVANCES IN SPACE RESEARCH

Evaluation of Three Deep Learning Models for Early Crop Classification Using Sentinel-1A Imagery Time Series—A Case Study in Zhanjiang, China

(2019) Hongwei Zhao et al.   Remote Sensing

Prediction of plant diversity in grasslands using Sentinel-1 and -2 satellite image time series

(2019) Mathieu Fauvel et al.   REMOTE SENSING OF ENVIRONMENT

Mapping wetland characteristics using temporally dense Sentinel-1 and Sentinel-2 data: A case study in the St. Lucia wetlands, South Africa

(2019) Bart Slagter et al.   International Journal of Applied Earth Observation and Geoinformation

Detecting irrigation extent, frequency, and timing in a heterogeneous arid agricultural region using MODIS time series, Landsat imagery, and ancillary data

(2018) Yaoliang Chen et al.   REMOTE SENSING OF ENVIRONMENT

Mapping and assessment of vegetation types in the tropical rainforests of the Western Ghats using multispectral Sentinel-2 and SAR Sentinel-1 satellite imagery

(2018) Joseph J. Erinjery et al.   REMOTE SENSING OF ENVIRONMENT

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

A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform

(2018) Pardhasaradhi Teluguntla et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

An Unsupervised Classification Algorithm for Multi-Temporal Irrigated Area Mapping in Central Asia

(2018) Silvan Ragettli et al.   Remote Sensing

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 new method for crop classification combining time series of radar images and crop phenology information

(2017) Damian Bargiel   REMOTE SENSING OF ENVIRONMENT

Early season large-area winter crop mapping using MODIS NDVI data, growing degree days information and a Gaussian mixture model

(2017) Sergii Skakun et al.   REMOTE SENSING OF ENVIRONMENT

Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications

(2017) Amanda Veloso et al.   REMOTE SENSING OF ENVIRONMENT

Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery

(2017) Phan Thanh Noi et al.   SENSORS

Towards improved land use mapping of irrigated croplands: performance assessment of different image classification algorithms and approaches

(2017) Amit Kumar Basukala et al.   European Journal of Remote Sensing

Mapping Plastic-Mulched Farmland with Multi-Temporal Landsat-8 Data

(2017) et al.   Remote Sensing

In-Season Crop Mapping with GF-1/WFV Data by Combining Object-Based Image Analysis and Random Forest

(2017) Qian Song et al.   Remote Sensing

European Rice Cropland Mapping with Sentinel-1 Data: The Mediterranean Region Case Study

(2017) Duy Ba Nguyen et al.   Water

Crop Classification Based on Feature Band Set Construction and Object-Oriented Approach Using Hyperspectral Images

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

A Complete Procedure for Crop Phenology Estimation With PolSAR Data Based on the Complex Wishart Classifier

(2016) Lucio Mascolo et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND 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

Major crops classification using time series MODIS EVI with adjacent years of ground reference data in the US state of Kansas

(2016) Shakir Muhammad et al.   OPTIK

Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas

(2016) Charlotte Pelletier et al.   REMOTE SENSING OF ENVIRONMENT

Early Detection of Summer Crops Using High Spatial Resolution Optical Image Time Series

(2016) Claire Marais Sicre et al.   Remote Sensing

Improved Early Crop Type Identification By Joint Use of High Temporal Resolution SAR And Optical Image Time Series

(2016) Jordi Inglada 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

Development of Variable Threshold Models for detection of irrigated paddy rice fields and irrigation timing in heterogeneous land cover

(2012) S. Jeong et al.   AGRICULTURAL WATER MANAGEMENT

Edge-detection-based filter for SAR speckle noise reduction

(2011) Ali Shamsoddini et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

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

(2011) José M. Peña-Barragán et al.   REMOTE SENSING OF ENVIRONMENT

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS

Application of Vegetation Indices for Agricultural Crop Yield Prediction Using Neural Network Techniques

(2010) Sudhanshu Sekhar Panda et al.   Remote Sensing

A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing

(2009) Chandrashekhar M. Biradar et al.   International Journal of Applied Earth Observation and Geoinformation

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