Optimizing Feature Selection of Individual Crop Types for Improved Crop Mapping

Detection and characterization of oil palm plantations through MODIS EVI time series

(2019) Samuele De Petris et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A random forest-based framework for crop mapping using temporal, spectral, textural and polarimetric observations

(2019) Iman Khosravi et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Early Season Mapping of Sugarcane by Applying Machine Learning Algorithms to Sentinel-1A/2 Time Series Data: A Case Study in Zhanjiang City, China

(2019) Hao Jiang et al.   Remote Sensing

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

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

Assimilating Soil Moisture Retrieved from Sentinel-1 and Sentinel-2 Data into WOFOST Model to Improve Winter Wheat Yield Estimation

(2019) Wen Zhuo et al.   Remote Sensing

New Workflow of Plastic-Mulched Farmland Mapping using Multi-Temporal Sentinel-2 data

(2019) Pengyu Hao et al.   Remote Sensing

Large-Scale Crop Mapping Based on Machine Learning and Parallel Computation with Grids

(2019) Ning Yang et al.   Remote Sensing

A phenology-based spectral and temporal feature selection method for crop mapping from satellite time series

(2019) Qiong Hu et al.   International Journal of Applied Earth Observation and Geoinformation

Machine Learning-Based Spectral Library for Crop Classification and Status Monitoring

(2019) Zhang et al.   Agronomy-Basel

Assimilation of remote sensing into crop growth models: Current status and perspectives

(2019) Jianxi Huang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Using the Landsat archive to map crop cover history across the United States

(2019) David M. Johnson   REMOTE SENSING OF ENVIRONMENT

A comparative evaluation of arid inflow-dependent vegetation maps derived from LANDSAT top-of-atmosphere and surface reflectances

(2018) Irina Emelyanova et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Using Landsat and nighttime lights for supervised pixel-based image classification of urban land cover

(2018) Ran Goldblatt et al.   REMOTE SENSING OF ENVIRONMENT

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

Mapping up-to-Date Paddy Rice Extent at 10 M Resolution in China through the Integration of Optical and Synthetic Aperture Radar Images

(2018) Xin Zhang et al.   Remote Sensing

Comparison of three remotely sensed drought indices for assessing the impact of drought on winter wheat yield

(2018) Jianxi Huang et al.   International Journal of Digital Earth

Mapping paddy rice fields by applying machine learning algorithms to multi-temporal Sentinel-1A and Landsat data

(2017) Alex O. Onojeghuo et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

An improved scheme for rice phenology estimation based on time-series multispectral HJ-1A/B and polarimetric RADARSAT-2 data

(2017) Zhi Yang et al.   REMOTE SENSING OF ENVIRONMENT

National-scale soybean mapping and area estimation in the United States using medium resolution satellite imagery and field survey

(2017) Xiao-Peng Song et al.   REMOTE SENSING OF ENVIRONMENT

How do temporal and spectral features matter in crop classification in Heilongjiang Province, China?

(2017) Qiong HU et al.   Journal of Integrative Agriculture

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

Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine

(2017) Jun Xiong et al.   Remote Sensing

Spatiotemporal Patterns of Crop Irrigation Water Requirements in the Heihe River Basin, China

(2017) Yaqun Liu et al.   Water

Extending the Pairwise Separability Index for Multicrop Identification Using Time-Series MODIS Images

(2016) Qiong Hu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

(2016) Jinwei Dong et al.   REMOTE SENSING OF ENVIRONMENT

Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data

(2015) Geli Zhang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mapping paddy rice planting area in cold temperate climate region through analysis of time series Landsat 8 (OLI), Landsat 7 (ETM+) and MODIS imagery

(2015) Yuanwei Qin et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND 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

Improved maize cultivated area estimation over a large scale combining MODIS–EVI time series data and crop phenological information

(2014) Jiahua Zhang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Random forest classification of salt marsh vegetation habitats using quad-polarimetric airborne SAR, elevation and optical RS data

(2014) Sybrand van Beijma et al.   REMOTE SENSING OF ENVIRONMENT

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

Multi-temporal hyperspectral mixture analysis and feature selection for invasive species mapping in rainforests

(2013) Ben Somers et al.   REMOTE SENSING OF ENVIRONMENT

Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery

(2013) Liheng Zhong et al.   REMOTE SENSING OF ENVIRONMENT

An assessment of pre- and within-season remotely sensed variables for forecasting corn and soybean yields in the United States

(2013) David M. Johnson   REMOTE SENSING OF ENVIRONMENT

Crop type mapping using spectral–temporal profiles and phenological information

(2012) Saskia Foerster et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Winter wheat area estimation from MODIS-EVI time series data using the Crop Proportion Phenology Index

(2012) Yaozhong Pan et al.   REMOTE SENSING OF ENVIRONMENT

Opening the archive: How free data has enabled the science and monitoring promise of Landsat

(2012) Michael A. Wulder et al.   REMOTE SENSING OF ENVIRONMENT

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

Temporal segmentation of MODIS time series for improving crop classification in Central Asian irrigation systems

(2011) Christopher Conrad 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

Remote Sensing Feature Selection by Kernel Dependence Measures

(2010) Gustavo Camps-Va et al.   IEEE Geoscience and Remote Sensing Letters

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

Contribution of multispectral and multitemporal information from MODIS images to land cover classification

(2007) Hugo Carrão et al.   REMOTE SENSING OF ENVIRONMENT