Estimating Crop Water Deficit Using the Relation between Surface-Air Temperature and Spectral Vegetation Index

نویسندگان

  • M. S. Moran
  • T. R. Clarke
  • Y. Inoue
  • A. Vidal
چکیده

T e crop water stress index (CWSI), developed at the USDA-ARS [LS. Water Conservation Laboratory, Phoenix, Arizona, is a commonly used index for detection of plant stress based on the difference between foliage and air temperature. Application of CWSI at local and refzional scales has been hampered by the difficulty of measuring foliage temperature of partially vegetated fields. Most hand-held, airborne, and satellite-based infrared sensors measure a composite of both the soil and plant temperatures. The concept proposed here, termed the vegetation index~temperature (VIT) trapezoid, is an attempt to combine spectral vegetation indices with composite surface temperature measurements to allow application of the CWSI theory to partially-vegetated fields without knowledge of foliage temperature. Based on this approach, a new index [water deficit index (WDI)] was introduced /or evaluating evapotranspiration rates of both full-cover and partially vegetated sites. By definition, WDI is related to the ratio of actual and potential evapotranspiration; in practice, WDI can be computed using remotely sensed measurements of surface temperature and reflectance (red and near-infrared spectrum) with limited on-site meteorological data (net radiation, vapor pressure deficit, wind speed, and air temperature). Both the VIT trapezoid and WT)I concepts were evaluated using 1) a simulation of a two-component 'soil and vegetation) energy balance model

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

Modeling of vegetation index and land surface temperature to identify and compare the changing trends, using generalized estimating equations

Normalized difference vegetation index and land surface temperature data, in a sample plot each from east, center and west of Nepal, from 2000 to 2015, were analyzed to identify and compare the trends of vegetation and temperature changes during the period. The data were obtained from moderate resolutions imaging spectro-radiometer. Normalized difference vegetation index charactiszes a resoluti...

متن کامل

Quantifying water stress in canola (Brassica napus L.) using crop water stress index

The relationship between canopy temperature and soil moisture is particularly important because of using canopy temperature as an indicator of crop water stress. A field experiment was conducted to calculate crop water stress index (CWSI) of two canola cultivars including RGS and Sarigol at College of Agriculture and Natural Resources of Darab, Shiraz University, Iran during 2013-2014 growing s...

متن کامل

Air temperature estimation based on environmental parameters using remote sensing data

 This study is aimed at estimating monthly mean air temperature (Ta) using the MODIS Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), latitude, altitude, slope gradient and land use data during 2001-2015. The results showed that despite some spatial similarities between annual spatial patterns of Ta and LST, their variations are significantly different, so that the...

متن کامل

Dynamics of vegetation in Karun watershed within Khuzestan province in relation with Temperature factors and precipitation

The aim of this study is to retrieve land surface temperature (LST), air temperature (AT) and precipitation and to study their relationship with vegetation in rang lands of Karun watershed of Khuzestan province. For this purpose, land surface temperature (LST) and NDVI was drived from NOAA-AVHRR for maximum amount of greenness (April) for a period of 27 years. In order to extract LST, Price alg...

متن کامل

Estimating Land Surface Temperature in the Central Part of Isfahan Province Based on Landsat-8 Data Using Split- Window Algorithm

Land surface temperature (LST) is used as one of the key sources to study land surface processes such as evapotranspiration, development of indexes, air temperature modeling and climate change. Remote sensing data offer the possibility of estimating LST all over the world with high temporal and spatial resolution. Landsat-8, which has two thermal infrared channels, provides an opportunity for t...

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   شماره 

صفحات  -

تاریخ انتشار 2002