Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop

Prediction of Potato Crop Yield Using Precision Agriculture Techniques

(2016) Khalid A. Al-Gaadi et al.   PLoS One

Estimating potato leaf chlorophyll content using ratio vegetation indices

(2016) Lammert Kooistra et al.   Remote Sensing Letters

First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe

(2016) Markus Immitzer et al.   Remote Sensing

Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture

(2015) Manal Elarab et al.   International Journal of Applied Earth Observation and Geoinformation

Advances in remote sensing of vegetation function and traits

(2015) Rasmus Houborg et al.   International Journal of Applied Earth Observation and Geoinformation

Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps

(2012) David J. Mulla   BIOSYSTEMS ENGINEERING

Using crop reflectance to determine sidedress N rate in potato saves N and maintains yield

(2012) Frits K. van Evert et al.   EUROPEAN JOURNAL OF AGRONOMY

Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3

(2012) J.G.P.W. Clevers et al.   International Journal of Applied Earth Observation and Geoinformation

Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

(2012) M. Drusch et al.   REMOTE SENSING OF ENVIRONMENT

Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content

(2011) Jan G. P. W. Clevers et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content

(2011) Jesús Delegido et al.   SENSORS

A broad-band leaf chlorophyll vegetation index at the canopy scale

(2008) M. Vincini et al.   PRECISION AGRICULTURE