Spatial mapping of winter wheat using C-band SAR (Sentinel-1A) data and yield prediction in Gorakhpur district, Uttar Pradesh (India)

Predicting paddy yield at spatial scale using optical and Synthetic Aperture Radar (SAR) based satellite data in conjunction with field-based Crop Cutting Experiment (CCE) data

(2020) Avinash Kumar Ranjan et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

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

Field-Scale Rice Yield Estimation Using Sentinel-1A Synthetic Aperture Radar (SAR) Data in Coastal Saline Region of Jiangsu Province, China

(2019) Jianjun Wang et al.   Remote Sensing

Tracking crop phenological development using multi-temporal polarimetric Radarsat-2 data

(2018) Francis Canisius et al.   REMOTE SENSING OF ENVIRONMENT

Sensitivity of Sentinel-1 Backscatter to Vegetation Dynamics: An Austrian Case Study

(2018) Mariette Vreugdenhil et al.   Remote Sensing

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

Evaluating the potential of temporal Sentinel-1A data for paddy rice discrimination at local scales

(2017) Lamin R. Mansaray et al.   Remote Sensing Letters

Fusion of HJ1B and ALOS PALSAR data for land cover classification using machine learning methods

(2016) X.Y. Wang et al.   International Journal of Applied Earth Observation and Geoinformation

Polarimetric analysis of radar backscatter from ground-based scatterometers and wheat biomass monitoring with advanced synthetic aperture radar images

(2016) Lei He et al.   Journal of Applied Remote Sensing

Unprecedented Drought in North East India Compared to Western India

(2015) Bikash Ranjan Parida et al.   CURRENT SCIENCE

Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features

(2015) Peijun Du et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

In-Season Mapping of Crop Type with Optical and X-Band SAR Data: A Classification Tree Approach Using Synoptic Seasonal Features

(2015) Paolo Villa et al.   Remote Sensing

RADARSAT-2 Polarimetric SAR Response to Crop Biomass for Agricultural Production Monitoring

(2014) Grant Wiseman et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Early season monitoring of corn and soybeans with TerraSAR-X and RADARSAT-2

(2014) H. McNairn et al.   International Journal of Applied Earth Observation and Geoinformation

Random forest classification of crop type using multi-temporal TerraSAR-X dual-polarimetric data

(2014) Rei Sonobe et al.   Remote Sensing Letters

Integration of Optical and Synthetic Aperture Radar Imagery for Improving Crop Mapping in Northwestern Benin, West Africa

(2014) Gerald Forkuor et al.   Remote Sensing

Retrieval of Wheat Growth Parameters With Radar Vegetation Indices

(2013) Yihyun Kim et al.   IEEE Geoscience and Remote Sensing Letters

Object-Based Fusion of Multitemporal Multiangle ENVISAT ASAR and HJ-1B Multispectral Data for Urban Land-Cover Mapping

(2013) Yifang Ban et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Multitemporal radar backscattering measurement of wheat fields using multifrequency (L, S, C, and X) and full-polarization

(2013) Mingquan Jia et al.   RADIO SCIENCE

The use of satellite data for crop yield gap analysis

(2012) David B. Lobell   FIELD CROPS RESEARCH

Crop Classification by Multitemporal C- and L-Band Single- and Dual-Polarization and Fully Polarimetric SAR

(2011) Henning Skriver   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Food Security: The Challenge of Feeding 9 Billion People

(2010) H. C. J. Godfray et al.   SCIENCE

Wheat Crop Mapping by Using ASAR AP Data

(2009) G. Satalino et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING