Optical and microwave images have been combined for land cover monitoring in different agriculture scenarios, providing useful information on qualitative and quantitative land cover changes. This study aims to assess the complementarity and interoperability of optical (SPOT-5 Take-5) and synthetic aperture radar (SAR) (Sentinel-1A) data for crop parameter (basal crop coefficient (Kcb) values an...

This study aims to assess the spatial and temporal variability of reference crop evapotranspiration (ET) over the mountainous Jeju Island, South Korea. In this mountainous region, only limited observed, station-based meteorological data are available, and thus statistical approaches are used to construct monthly reference crop ET maps. The maximum and minimum temperatures, wind speed, and relat...

Ground-based remotely sensed data were used in two major approaches to estimate crop coefficient and evapotranspiration (ET) over two treatments of limited-irrigation corn in northeastern Colorado. The first approach, known as the reflectance-based crop coefficient, takes advantage of the unique relationship between crop coefficients (Kc) and vegetation indices of agricultural crops. The second...

In this paper, an efficient irrigation system is proposed based on computing evapotranspiration (ET) and the required irrigation quantity using fuzzy inference methodology. The aim of this system is to schedule irrigation according to the particular requirements of a crop and to the change in various climatological parameters and other factors. This is to avoid overor under-watering which signi...

Evapotranspiration (ET) estimates are required for many applications in agricultural and environmental management, from hydrological applications to crop models and irrigation scheduling. Improvement in irrigation water management is achieved when crop water use is accurately quantified in time and space. Conventionally, ET can be measured using Bowen ratio energy balance systems, eddy covarian...

GOSSYM is a comprehensive crop growth model that has been continuously developed since the late 1970s and widely applied to assist cotton growers, crop consultants, and researchers. The state-of-art CWRF (Climate-Weather Research and Forecasting model) demonstrated skillful simulations of regional water and energy cycle processes that are keenly important to cotton growth. This study focuses on...

To improve crop model performance for regional crop yield estimates, a new four-dimensional variational algorithm (POD4DVar) merging the Monte Carlo and proper orthogonal decomposition techniques was introduced to develop a data assimilation strategy using the Crop Environment Resource Synthesis (CERES)-Wheat model. Two winter wheat yield estimation procedures were conducted on a field plot and...

KUSLU, Y., U. SAHIN, T. TUNC and F. M. KIZILOGLU, 2010. Determining water-yield relationship, water use efficiency, seasonal crop and pan coefficients for alfalfa in a semiarid region with high altitude. Bulg. J. Agric. Sci., 16: 482-492 A field study was conducted to determine effects of seasonal deficit irrigation on plant dry forage yield and water use efficiency of alfalfa for a 2-year peri...

[1] This paper uses the Community Land Model (CLM2) to investigate the improvements of a new land surface data set, created from multiple high-quality collection 4 Moderate Resolution Imaging Spectroradiometer data of leaf area index (LAI), plant functional type, and vegetation continuous fields, for modeled land surface variables. The previous land surface data in CLM2 underestimate LAI and ov...