نتایج جستجو برای: the soil moisture algorithm was chosen

تعداد نتایج: 16197028  

2010
Caojun Huang Lin Li Souhua Ren Zhisheng Zhou

Soil moisture forecast model based on genetic neural network is established because the soil moisture forecasting is nonlinear and complex. The weights and threshold value of BP network are optimized according to the total situation optimization ability of genetic algorithm, which can avoid effectively that BP network is vulnerable to run into the local minimum value as its poor total optimizat...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شیراز - دانشکده علوم 1392

gol-e-gohar iron ore mine of sirjan in southern part of iran is a large open pit that operates below the groundwater table and during mining operation, dewatering is required to prevent operation processes from flooding. current operation is going on by digging wells in or out of the pit and pumping to prevent flooding. as a result of the former dewatering operation a vast deep cone of depressi...

Abstract Lack of stored soil moisture is an essential factor in intensification of the problems of arid and semi-arid areas in Kohgiloyeh va Boyerahmad Province. In these areas, limited surface water and groundwater have rendered vast areas of the region’s fertile lands useless. Despite these problems, appropriate conditions can be provided to plant resistant and adapted species such as olive...

Extended abstract 1- INTRODUCTION In the arid and semi-arid areas of Asia, dust storms occur frequently. Much progress has been made in the monitoring modeling and prediction of Asian dust storms. Dust emission is caused by wind erosion in the sensitive areas. Wind erosion is described as the transportation of soil particles by means of the wind. Soil Surface moisture is one of the most i...

Journal: :Remote Sensing 2014
Xiang Zhang Nengcheng Chen Zhihong Chen

Regional soil moisture distributions and changes are critical for agricultural production and environmental modeling. Currently, hundreds of satellite sensors exist with different soil moisture observation capabilities. However, multi-sensor collaborative observation mechanisms for improving regional soil moisture monitoring capabilities are lacking. In this study, a Spatial pattern and Tempora...

2013
Thomas Jagdhuber Irena Hajnsek Konstantinos P. Papathanassiou

A refined hybrid polarimetric decomposition and inversion method for soil moisture estimation under vegetation is investigated for its potential to retrieve soil moisture from vegetated soils in TERENO observatories. The refined algorithm is applied on Lband fully polarimetric data acquired by DLR’s novel F-SAR sensor. Two flight and field measurement campaigns were conducted in 2011 and 2012 f...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه پیام نور - دانشگاه پیام نور استان تهران - دانشکده زبانهای خارجی 1393

the purpose of this study was to examine the english language needs of medical students at tehran university of medical sciences . analysis of the needs took place for three groups: 320 undergraduate students, 30 postgraduate students and 20 university instructors. a triangulation approach to collect data was used in which a combination of the quantitative (using the questionnaires) and qualita...

Journal: :Remote Sensing 2014
Elin Högström Anna Maria Trofaier Isabelle Gouttevin Annett Bartsch

Knowledge of surface hydrology is essential for many applications, including studies that aim to understand permafrost response to changing climate and the associated feedback mechanisms. Advanced remote sensing techniques make it possible to retrieve a range of land-surface variables, including radar retrieved soil moisture (SSM). It has been pointed out before that soil moisture retrieval fro...

2013
Baburao Kamble Ayse Irmak Kenneth Hubbard Prasanna Gowda

Remote sensing and crop growth models have enhanced our ability to understand soil water balance in irrigated agriculture. However, limited efforts have been made to adopt data assimilation methodologies in these linked models that use stochastic parameter estimation with genetic algorithm (GA) to improve irrigation scheduling. In this study, an innovative irrigation scheduling technique, based...

2009
N. Ye J. P. Walker R. Panciera D. Ryu C. Rüdiger

The Soil Moisture and Ocean Salinity (SMOS) mission, developed by the European Space Agency (ESA), will be launched in the second half of 2009. It will be the first L-band (~1.4 GHz) passive microwave satellite specifically designed for global soil moisture observations, with an expected accuracy for the retrieved soil moisture of ~0.04 m/m. While passive microwave observations have been widely...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید