Retrieval of forest fuel moisture content using a coupled radiative transfer model-Reference-Cited by-同舟云学术

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Retrieval of forest fuel moisture content using a coupled radiative transfer model

Published:2017-09 Issue: Volume:95 Page:290-302
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Quan Xingwen,He Binbin,Yebra Marta,Yin Changming,Liao Zhanmang,Li Xing

Funder

National Natural Science Foundation of China

Fundamental Research Fund for the Central Universities

National High-Tech Research and Development Program of China

Publisher

Elsevier BV

Subject

Ecological Modeling,Environmental Engineering,Software

Reference79 articles.

1. Mapping fuel moisture content in upland vegetation using airborne hyperspectral imagery;Al-Moustafa;Remote Sens. Environ.,2012

2. Impacts of Fire and Fire Surrogate treatments on forest soil properties: a meta-analytical approach;Boerner;Ecol. Appl.,2009

3. Sensitivity of spectral reflectance to variation in live fuel moisture content at leaf and canopy level;Bowyer;Remote Sens. Environ.,2004

4. Deriving green crop area index and canopy chlorophyll density of winter wheat from spectral reflectance data;Broge;Remote Sens. Environ.,2002

5. Estimation of water-related biochemical and biophysical vegetation properties using multitemporal airborne hyperspectral data and its comparison to MODIS spectral response;Casas;Remote Sens. Environ.,2014

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2. Operational Forest-Fire Spread Forecasting Using the WRF-SFIRE Model;Remote Sensing;2024-07-06

3. Sub-daily live fuel moisture content estimation from Himawari-8 data;Remote Sensing of Environment;2024-07

4. Estimation of Forest Canopy Fuel Moisture Content in Dali Prefecture by Combining Vegetation Indices and Canopy Radiative Transfer Models from MODIS Data;Forests;2024-03-28

5. Process-based and geostationary meteorological satellite-enhanced dead fuel moisture content estimation;GIScience & Remote Sensing;2024-03-05

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