Assessing Crop Coefficients for Natural Vegetated Areas Using Satellite Data and Eddy Covariance Stations

نویسندگان

  • Chiara Corbari
  • Giovanni Ravazzani
  • Marta Galvagno
  • Edoardo Cremonese
  • Marco Mancini
چکیده

The Food and Agricultural Organization (FAO) method for potential evapotranspiration assessment is based on the crop coefficient, which allows one to relate the reference evapotranspiration of well irrigated grass to the potential evapotranspiration of specific crops. The method was originally developed for cultivated species based on lysimeter measurements of potential evapotranspiration. Not many applications to natural vegetated areas exist due to the lack of available data for these species. In this paper we investigate the potential of using evapotranspiration measurements acquired by micrometeorological stations for the definition of crop coefficient functions of natural vegetated areas and extrapolation to ungauged sites through remotely sensed data. Pastures, deciduous and evergreen forests have been considered and lower crop coefficient values are found with respect to FAO data.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Evapotranspiration of partially vegetated surfaces from remote sensing

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...

متن کامل

A Weekly Indicator of Surface Moisture Status from Satellite Data for Operational Monitoring of Crop Conditions

The triangle method has been applied to derive a weekly indicator of evaporative fraction on vegetated areas in a temperate region in Northern Italy. Daily MODIS Aqua Land Surface Temperature (MYD11A1) data has been combined with air temperature maps and 8-day composite MODIS NDVI (MOD13Q1/MYD13Q1) data to estimate the Evaporative Fraction (EF) at 1 km resolution, on a daily basis. Measurements...

متن کامل

Assessing the Efficiency of Vegetation Indicators for Estimating Agricultural Drought Using MODIS Sensor Images (Case Study: Sharghi Azerbaijan Province)

Drought is a natural disaster. Because a significant impact on the agricultural and economy sector, it affects the lives of local residents. With Using of the remote sensing, drought can be studied through its effects on plants and agriculture resulting in more accurate and effective results found for modeling drought. In this study, the efficiency of agricultural drought indicators for estimat...

متن کامل

Assessing the Efficiency of Vegetation Indicators for Estimating Agricultural Drought Using MODIS Sensor Images (Case Study: Sharghi Azerbaijan Province)

Drought is a natural disaster. Because a significant impact on the agricultural and economy sector, it affects the lives of local residents. With Using of the remote sensing, drought can be studied through its effects on plants and agriculture resulting in more accurate and effective results found for modeling drought. In this study, the efficiency of agricultural drought indicators for estimat...

متن کامل

Post-classification comparison of land cover using multitemporal Landsat and ASTER imagery: the case of Kahramanmaraş, Turkey.

This study assessed land cover (LC) changes in Kahramanmaraş (K.Maraş) and its environs by using multitemporal Landsat and ASTER imagery, respectively belong to 1989, 2000 and 2004. A priori defined nine land cover classes in the classification scheme were urban and built-up, forest, sparsely vegetated areas, grassland, vegetated stream beds, unvegetated stream beds, bare areas, crop fields, an...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 17  شماره 

صفحات  -

تاریخ انتشار 2017