Articles citing this paper
Soil moisture as an indicator of growing-season herbaceous fuel moisture and curing rate in grasslands
Sonisa Sharma 
A D , J. D. Carlson B , Erik S. Krueger A , David M. Engle C , Dirac Twidwell C E , Samuel D. Fuhlendorf C , Andres Patrignani A F , Lei Feng A G and Tyson E. Ochsner A H
+ Author Affiliations
- Author Affiliations
A Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK 74078, USA.
B Department of Biosystems and Agricultural Engineering, Oklahoma State University, Stillwater, OK 74078, USA.
C Department of Natural Resources Ecology and Management, Oklahoma State University, Stillwater, OK 74078, USA.
D Present address: Division of Plant Biology, Noble Research Institute, Ardmore, OK 73401, USA.
E Present address: Department of Agronomy and Horticulture, University of Nebraska – Lincoln, Lincoln, NE 68588, USA.
F Present address: Department of Agronomy, Kansas State University, Manhattan, KS 66506, USA.
G Present address: College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.
H Corresponding author. Email: tyson.ochsner@okstate.edu
International Journal of Wildland Fire 30(1) 57-69 https://doi.org/10.1071/WF19193
Submitted: 19 November 2019 Accepted: 17 September 2020 Published: 16 October 2020
Modeling Soil Moisture from Multisource Data by Stepwise Multilinear Regression: An Application to the Chinese Loess Plateau
Yuan Lina,
Li Long,
Zhang Ting,
Chen Longqian,
Liu Weiqiang,
Hu Sai, Yang Longhua
ISPRS International Journal of Geo-Information. 2021 10(4). p.233
Using soil moisture information to better understand and predict wildfire danger: a review of recent developments and outstanding questions
Krueger Erik S.,
Levi Matthew R.,
Achieng Kevin O.,
Bolten John D.,
Carlson J. D.,
Coops Nicholas C.,
Holden Zachary A.,
Magi Brian I.,
Rigden Angela J., Ochsner Tyson E.
International Journal of Wildland Fire. 2022 32(2). p.111
Upscaling soil moisture from point scale to field scale: Toward a general model
Brown William G.,
Cosh Michael H.,
Dong Jingnuo, Ochsner Tyson E.
Vadose Zone Journal. 2023 22(2).
Triple Collocation of Ground-, Satellite- and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma Part II: New Multi-Sensor Soil Moisture (MSSM) Product
Hong Zhen,
Moreno Hernan A.,
Alvarez Laura V.,
Li Zhi, Hong Yang
Remote Sensing. 2023 15(13). p.3450
Predicting forest fire using multispectral satellite measurements in Nepal
Qadir Abdul,
Talukdar Nazimur Rahman,
Uddin Md Meraj,
Ahmad Firoz, Goparaju Laxmi
Remote Sensing Applications: Society and Environment. 2021 23 p.100539
Fuel Properties of Effective Greenstrips in Simulated Cheatgrass Fires
McGranahan Devan Allen, Wonkka Carissa L.
Environmental Management. 2022 70(2). p.319
Calibration and validation of soil water reflectometers
Patrignani Andres,
Ochsner Tyson E.,
Feng Lei,
Dyer Don, Rossini Pedro R.
Vadose Zone Journal. 2022 21(3).
Land and Atmosphere Precursors to Fuel Loading, Wildfire Ignition and Post‐Fire Recovery
Alizadeh Mohammad Reza,
Adamowski Jan, Entekhabi Dara
Geophysical Research Letters. 2024 51(2).
Boots on the Ground and Eyes in the Sky: A Perspective on Estimating Fire Danger from Soil Moisture Content
Sharma Sonisa, Dhakal Kundan
Fire. 2021 4(3). p.45
Grassland productivity estimates informed by soil moisture measurements: Statistical and mechanistic approaches
Krueger Erik S.,
Ochsner Tyson E.,
Levi Matthew R.,
Basara Jeffrey B.,
Snitker Grant J., Wyatt Briana M.
Agronomy Journal. 2021 113(4). p.3498
Empirical Models for Spatio-Temporal Live Fuel Moisture Content Estimation in Mixed Mediterranean Vegetation Areas Using Sentinel-2 Indices and Meteorological Data
Costa-Saura José M.,
Balaguer-Beser Ángel,
Ruiz Luis A.,
Pardo-Pascual Josep E., Soriano-Sancho José L.
Remote Sensing. 2021 13(18). p.3726
Effects of Vegetation Belt Movement on Wildfire in the Mongolian Plateau over the Past 40 Years
Chao Lumen,
Bao Yulong,
Zhang Jiquan,
Bao Yuhai,
Mei Li, Cha Ersi
Remote Sensing. 2023 15(9). p.2341
The Potential of Optical UAS Data for Predicting Surface Soil Moisture in a Peatland across Time and Sites
de Lima Raul Sampaio,
Li Kai-Yun,
Vain Ants,
Lang Mait,
Bergamo Thaisa Fernandes,
Kokamägi Kaupo,
Burnside Niall G.,
Ward Raymond D., Sepp Kalev
Remote Sensing. 2022 14(10). p.2334
Using Soil Moisture Information to Better Understand and Predict Wildfire Danger
Ochsner Tyson E.,
Levi Matthew R.,
Skumanich Marina,
Connolly Stephanie, Krueger Erik S.
CSA News. 2021 66(10). p.26
Modelling the dead fuel moisture content in a grassland of Ergun City, China
Chang Chang,
Chang Yu,
Guo Meng, Hu Yuanman
Journal of Arid Land. 2023 15(6). p.710
