Remote Estimation of Leaf and Canopy Water Content in Winter Wheat with Different Vertical Distribution of Water-Related Properties

Off-Nadir Hyperspectral Sensing for Estimation of Vertical Profile of Leaf Chlorophyll Content within Wheat Canopies

Monitoring the vertical profile of leaf chlorophyll (Chl) content within winter wheat canopies is of significant importance for revealing the real nutritional status of the crop. Information on the vertical profile of Chl content is not accessible to nadir-viewing remote or proximal sensing. Off-nadir or multi-angle sensing would provide effective means to detect leaf Chl content in different v...

Water stress of sugarbeet as related to leaf and canopy temperatures and to leaf Water content

Post-anthesis Drought Stress Effects on Photosynthesis Rate and Chlorophyll Content of Wheat Genotypes

Water stress is one of the major abiotic stresses in agriculture worldwide. In order to assess photosynthesis response and grain yield of 25 wheat genotypes under water deficit (post-anthesis stress) conditions, a 2-year study (2010-12) was carried out as a split-plot arrangement using randomized complete block design with three replications. The most sensitive gas exchange variable to water de...

Estimation of effective precipitation for winter wheat in different regions of Iran using an Extended Soil-Water Balance Model

Estimated Effective Precipitation (Pe) in dryland areas is an essential element of water resource management. Itrepresents the amount of precipitation available in the crop root zone to meet the needs of evapotranspiration. Thecurrent study compared different approaches for estimating Pe in different climatic zones of Iran. A two-layer soil–water balance (SWB) model was adopted based on the pro...

Modification of DAISY SVAT model for potential use of remotely sensed data

The SVAT model DAISY is modified to be able to utilize remote sensing (RS) data in order to improve prediction of evapotranspiration and photosynthesis at plot scale. The link between RS data and the DAISY model is the development of the minimum, unstressed, canopy resistance rmin c during the growing season. Energy balance processes are simulated by applying resistance networks and a two-sourc...