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Regional crop yield estimations play important roles in the food security of a society. Crop growth modelscan simulate the crop growth process and predict crop yield...
The importance of single trees and the determination of related parameters has been recognized in recent years, e.g. for forest inventories or management. For urban areas an increasing interest in the...
In mixed old growth broadleaves of Hyrcanian forests, it is difficult to estimate stand volume at plot level by remotely sensed data while LiDar data is absent. In this paper, a new approach has been ...
Remote sensing is a rapid and reliable method for estimating crop growth data from individual plant to crops in irrigated agriculture ecosystem. The LAI is one of the important biophysical parameter f...
Tea (Camellia Sinensis (L.)) is an important economic crop and the market price of tea depends largely on its quality. This research aims to explore the potential of hyperspectral remote sensing on pr...
A Bayesian method was used to fit the Shuttleworth–Wallace model to half-hourly measurements ofevapotranspiration (ET) with the eddy covariance technique from an alpine grassland on the Qinghai-Tibeta...
While the satellite data and meteorological measurement are more easily available, there is a lack of comprehensive framework that provides an estimated air temperature map with ease of use to the en...
The estimation of tree cover area at continental scale is becoming more important than before due to the needs to improve our understanding of carbon dynamics. The estimation of percent tree cover of ...
A general function field methodology for estimating ocean color variables from space is applied to the retrieval of spectral marine reflectance from Global Imager (GLI) data. The top-of-atmosphere GLI...
High-accuracy estimation of the net primary production (NPP) of vegetation is important in the study of the carbon cycle and the biotic response to climatic warming. This study estimated the NPP of ve...
Estimating Temporal Dynamics of Fuel Moisture Content of Mediterranean Species from NOAA-AVHRR Data

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