New Textural Indicators for Assessing Above-Ground Cotton Biomass Extracted from Optical Imagery Obtained via Unmanned Aerial Vehicle

Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique

(2020) Puyu Feng et al.   AGRICULTURAL AND FOREST METEOROLOGY

Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices

(2019) Jibo Yue et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Estimating Above-Ground Biomass of Maize Using Features Derived from UAV-Based RGB Imagery

(2019) Yaxiao Niu et al.   Remote Sensing

Integration of ZiYuan-3 Multispectral and Stereo Data for Modeling Aboveground Biomass of Larch Plantations in North China

(2019) Guiying Li et al.   Remote Sensing

Using Sensors and Unmanned Aircraft Systems for High-Throughput Phenotyping of Biomass in Perennial Ryegrass Breeding Trials

(2019) Junping Wang et al.   Frontiers in Plant Science

Unmanned aerial system assisted framework for the selection of high yielding cotton genotypes

(2018) Jinha Jung et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Remote sensing-based crop biomass with water or light-driven crop growth models in wheat commercial fields

(2018) Isidro Campos et al.   FIELD CROPS RESEARCH

Biomass Accumulation, Photosynthetic Traits and Root Development of Cotton as Affected by Irrigation and Nitrogen-Fertilization

(2018) Zongkui Chen et al.   Frontiers in Plant Science

Improved estimation of rice aboveground biomass combining textural and spectral analysis of UAV imagery

(2018) Hengbiao Zheng et al.   PRECISION AGRICULTURE

Using spatio-temporal fusion of Landsat-8 and MODIS data to derive phenology, biomass and yield estimates for corn and soybean

(2018) Chunhua Liao et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Estimating rice yield related traits and quantitative trait loci analysis under different nitrogen treatments using a simple tower-based field phenotyping system with modified single-lens reflex cameras

(2017) Hiroki Naito et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models

(2017) Jibo Yue et al.   Remote Sensing

Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system

(2016) Wang Li et al.   ECOLOGICAL INDICATORS

Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance

(2015) Helge Aasen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Enhanced biomass prediction by assimilating satellite data into a crop growth model

(2014) Miriam Machwitz et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Estimates of Aboveground Biomass from Texture Analysis of Landsat Imagery

(2014) Katharine Kelsey et al.   Remote Sensing

Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging

(2014) Juliane Bendig et al.   Remote Sensing

Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the HyspIRI mission

(2013) Isabella Mariotto et al.   REMOTE SENSING OF ENVIRONMENT

Improved Forest Biomass and Carbon Estimations Using Texture Measures from WorldView-2 Satellite Data

(2012) Sandra Eckert   Remote Sensing

Responses of cotton growth, yield, and biomass to nitrogen split application ratio

(2011) Guozheng Yang et al.   EUROPEAN JOURNAL OF AGRONOMY

Improved forest biomass estimates using ALOS AVNIR-2 texture indices

(2011) Latifur Rahman Sarker et al.   REMOTE SENSING OF ENVIRONMENT

An entropy-based approach to automatic image segmentation of satellite images

(2010) Andre L. Barbieri et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat

(2010) Pengfei Chen et al.   REMOTE SENSING OF ENVIRONMENT