Estimation of water productivity in winter wheat using the AquaCrop model with field hyperspectral data
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Estimation of water productivity in winter wheat using the AquaCrop model with field hyperspectral data
Authors
Keywords
Water productivity, AquaCrop model, Spectral index, Lookup table, Winter wheat
Journal
PRECISION AGRICULTURE
Volume 19, Issue 1, Pages 1-17
Publisher
Springer Nature
Online
2016-08-18
DOI
10.1007/s11119-016-9469-2
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Potential effects of different irrigation and drainage regimes on yield and water productivity of two potato varieties under Estonian temperate climate
- (2016) Jüri Kadaja et al. AGRICULTURAL WATER MANAGEMENT
- Newly Combined Spectral Indices to Improve Estimation of Total Leaf Chlorophyll Content in Cotton
- (2014) Xiuliang Jin et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Assessment of the AquaCrop Model for Use in Simulation of Irrigated Winter Wheat Canopy Cover, Biomass, and Grain Yield in the North China Plain
- (2014) Xiu-liang Jin et al. PLoS One
- Integrated spatial–temporal analysis of crop water productivity of winter wheat in Hai Basin
- (2013) Nana Yan et al. AGRICULTURAL WATER MANAGEMENT
- Estimating high spatiotemporal resolution evapotranspiration over a winter wheat field using an IKONOS image based complementary relationship and Lysimeter observations
- (2013) Guijun Yang et al. AGRICULTURAL WATER MANAGEMENT
- Estimation of Leaf Water Content in Winter Wheat Using Grey Relational Analysis–Partial Least Squares Modeling with Hyperspectral Data
- (2013) Xiuliang Jin et al. AGRONOMY JOURNAL
- Estimation of Wheat Agronomic Parameters using New Spectral Indices
- (2013) Xiu-liang Jin et al. PLoS One
- Large-Scale Water Productivity Assessments with MODIS Images in a Changing Semi-Arid Environment: A Brazilian Case Study
- (2013) Antônio de C. Teixeira et al. Remote Sensing
- Estimating dry matter content from spectral reflectance for green leaves of different species
- (2011) Lingli Wang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Modeling wheat yield and crop water productivity in Iran: Implications of agricultural water management for wheat production
- (2010) Monireh Faramarzi et al. AGRICULTURAL WATER MANAGEMENT
- WATPRO: A remote sensing based model for mapping water productivity of wheat
- (2010) Sander J. Zwart et al. AGRICULTURAL WATER MANAGEMENT
- Predicting plant water content in Eucalyptus grandis forest stands in KwaZulu-Natal, South Africa using field spectra resampled to the Sumbandila Satellite Sensor
- (2010) Z. Oumar et al. International Journal of Applied Earth Observation and Geoinformation
- Evaluation of options for increasing yield and water productivity of wheat in Punjab, India using the DSSAT-CSM-CERES-Wheat model
- (2008) J. Timsina et al. AGRICULTURAL WATER MANAGEMENT
- Estimation of water consumption and crop water productivity of winter wheat in North China Plain using remote sensing technology
- (2008) Hongjun Li et al. AGRICULTURAL WATER MANAGEMENT
- The assessment of leaf water content using leaf reflectance ratios in the visible, near‐, and short‐wave‐infrared
- (2008) H.‐D. Seelig et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Development of a two-band enhanced vegetation index without a blue band
- (2008) Z JIANG et al. REMOTE SENSING OF ENVIRONMENT
- Integrating remote sensing and a process-based hydrological model to evaluate water use and productivity in a south Indian catchment
- (2007) W.W. Immerzeel et al. AGRICULTURAL WATER MANAGEMENT
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started