Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX

Contribution of the new satellites (Sentinel-1, Sentinel-2 and SPOT-6) to the coastal vegetation monitoring in the Pays de Brest (France)

Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX ◽

10.1117/12.2277320 ◽

2017 ◽

Author(s):

Halima Talab Ou Ali ◽

Simona Niculescu ◽

Christophe Bougault ◽

Vanessa Sellin

Keyword(s):

Coastal Vegetation ◽

Vegetation Monitoring ◽

Sentinel 2

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Multisensor satellite data for water quality analysis and water pollution risk assessment: decision making under deep uncertainty with fuzzy algorithm in framework of multimodel approach

Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX ◽

10.1117/12.2276151 ◽

2017 ◽

Author(s):

Yuriy V. Kostyuchenko ◽

Yulia Sztoyka ◽

Ivan Kopachevsky ◽

Igor Artemenko ◽

Maxim Yuschenko

Keyword(s):

Water Pollution ◽

Water Quality ◽

Risk Assessment ◽

Decision Making ◽

Satellite Data ◽

Quality Analysis ◽

Water Quality Analysis ◽

Deep Uncertainty ◽

Fuzzy Algorithm ◽

Pollution Risk

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Changes in ecosystem service values in Zhoushan Island using remote sensing time series data

Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX ◽

10.1117/12.2277899 ◽

2017 ◽

Author(s):

Yanpei Qin ◽

Guangwei Zhen ◽

Chaokui Li ◽

Fang Gong ◽

Xiaoping Zhang ◽

...

Keyword(s):

Remote Sensing ◽

Time Series ◽

Ecosystem Service ◽

Time Series Data ◽

Series Data ◽

Sensing Time

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Determination of the actual evapotranspiration by using remote sensing methods

Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX ◽

10.1117/12.2277834 ◽

2017 ◽

Author(s):

Eser Bora

Keyword(s):

Remote Sensing ◽

Actual Evapotranspiration ◽

Remote Sensing Methods

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Estimation of leaf water contents from mid- and thermal infrared spectra by coupling genetic algorithm and partial least squares regression

Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX ◽

10.1117/12.2277822 ◽

2017 ◽

Author(s):

Muhammad Arshad ◽

Asad Ali ◽

Saleem Ullah ◽

Khurram Khurshid

Keyword(s):

Genetic Algorithm ◽

Least Squares ◽

Partial Least Squares ◽

Infrared Spectra ◽

Partial Least Squares Regression ◽

Thermal Infrared ◽

Leaf Water ◽

Least Squares Regression ◽

Water Contents

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Evaluation and cross-comparison of vegetation indices for crop monitoring from sentinel-2 and worldview-2 images

Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX ◽

10.1117/12.2278217 ◽

2017 ◽

Cited By ~ 4

Author(s):

Emmanouil Psomiadis ◽

Nicholas Dercas ◽

Nicolas R. Dalezios ◽

Nicos V. Spiropoulos

Keyword(s):

Vegetation Indices ◽

Crop Monitoring ◽

Sentinel 2

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Monitoring total nitrogen content in soil of cultivated land based on hyperspectral technology

Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX ◽

10.1117/12.2278175 ◽

2017 ◽

Author(s):

Xiaohe Gu ◽

Lizhi Wang ◽

Liyan Zhang ◽

Guijun Wang

Keyword(s):

Nitrogen Content ◽

Total Nitrogen ◽

Total Nitrogen Content ◽

Cultivated Land

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Unmanned Aerial Vehicle (UAV) data analysis for fertilization dose assessment

Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX ◽

10.1117/12.2278152 ◽

2017 ◽

Author(s):

Leonidas Toulios ◽

Nicholas Dercas ◽

Emmanouil Psomiadis ◽

Antonis Kavvadias ◽

Maroulio Chanioti ◽

...

Keyword(s):

Data Analysis ◽

Unmanned Aerial Vehicle ◽

Dose Assessment ◽

Aerial Vehicle

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Evaluation of forest fires in Portugal Mainland during 2016 summer considering different satellite datasets

Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX ◽

10.1117/12.2278262 ◽

2017 ◽

Author(s):

Ana C. Teodoro ◽

Ana Amaral

Keyword(s):

Forest Fires

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Combining optical remote sensing data with in-situ measurements in order to estimate vegetation parameters on agricultural fields and corresponding uncertainties

Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX ◽

10.1117/12.2280409 ◽

2017 ◽

Author(s):

Katharina Heupel ◽

Daniel Spengler ◽

Cornelia Weltzien

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

In Situ Measurements ◽

Agricultural Fields ◽

Optical Remote Sensing ◽

Sensing Data ◽

Vegetation Parameters

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Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By SPIE

Contribution of the new satellites (Sentinel-1, Sentinel-2 and SPOT-6) to the coastal vegetation monitoring in the Pays de Brest (France)

Multisensor satellite data for water quality analysis and water pollution risk assessment: decision making under deep uncertainty with fuzzy algorithm in framework of multimodel approach

Changes in ecosystem service values in Zhoushan Island using remote sensing time series data

Determination of the actual evapotranspiration by using remote sensing methods

Estimation of leaf water contents from mid- and thermal infrared spectra by coupling genetic algorithm and partial least squares regression

Evaluation and cross-comparison of vegetation indices for crop monitoring from sentinel-2 and worldview-2 images

Monitoring total nitrogen content in soil of cultivated land based on hyperspectral technology

Unmanned Aerial Vehicle (UAV) data analysis for fertilization dose assessment

Evaluation of forest fires in Portugal Mainland during 2016 summer considering different satellite datasets

Combining optical remote sensing data with in-situ measurements in order to estimate vegetation parameters on agricultural fields and corresponding uncertainties

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Remote Sensing for Agriculture, Ecosystems, and Hydrology XIXLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By SPIE

Contribution of the new satellites (Sentinel-1, Sentinel-2 and SPOT-6) to the coastal vegetation monitoring in the Pays de Brest (France)

Multisensor satellite data for water quality analysis and water pollution risk assessment: decision making under deep uncertainty with fuzzy algorithm in framework of multimodel approach

Changes in ecosystem service values in Zhoushan Island using remote sensing time series data

Determination of the actual evapotranspiration by using remote sensing methods

Estimation of leaf water contents from mid- and thermal infrared spectra by coupling genetic algorithm and partial least squares regression

Evaluation and cross-comparison of vegetation indices for crop monitoring from sentinel-2 and worldview-2 images

Monitoring total nitrogen content in soil of cultivated land based on hyperspectral technology

Unmanned Aerial Vehicle (UAV) data analysis for fertilization dose assessment

Evaluation of forest fires in Portugal Mainland during 2016 summer considering different satellite datasets

Combining optical remote sensing data with in-situ measurements in order to estimate vegetation parameters on agricultural fields and corresponding uncertainties

Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX
Latest Publications