Satellite-Observed Soil Moisture as an Indicator of Wildfire Risk
暂无分享,去创建一个
Aaron A. Berg | Jaison Thomas Ambadan | Matilda Oja | Ze’ev Gedalof | Z. Gedalof | A. Berg | J. Ambadan | Matilda Oja
[1] Piyush Jain,et al. Fire-regime changes in Canada over the last half century , 2019, Canadian Journal of Forest Research.
[2] M. Turetsky,et al. Impacts of climate change on fire activity and fire management in the circumboreal forest , 2009 .
[3] Yann Kerr,et al. Development and Assessment of the SMAP Enhanced Passive Soil Moisture Product. , 2018, Remote sensing of environment.
[4] Alan S. Cantin,et al. Future emissions from Canadian boreal forest fires , 2009 .
[5] Son V. Nghiem,et al. Estimating Live Fuel Moisture Using SMAP L-Band Radiometer Soil Moisture for Southern California, USA , 2019, Remote. Sens..
[6] Yann Kerr,et al. The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle , 2010, Proceedings of the IEEE.
[7] Marco Turco,et al. Exacerbated fires in Mediterranean Europe due to anthropogenic warming projected with non-stationary climate-fire models , 2018, Nature Communications.
[8] Heather McNairn,et al. Satellite surface soil moisture from SMOS and Aquarius: Assessment for applications in agricultural landscapes , 2016, Int. J. Appl. Earth Obs. Geoinformation.
[9] A. Al Bitar,et al. Overview of SMOS performance in terms of global soil moisture monitoring after six years in operation , 2016 .
[10] Randal D. Koster,et al. Soil Moisture Memory in Climate Models , 2001 .
[11] Donald G. Leckie,et al. Advances in remote sensing technologies for forest surveys and management , 1990 .
[12] Kalifa Goita,et al. Validation of SMOS Data Over Agricultural and Boreal Forest Areas in Canada , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[13] Arnaud Mialon,et al. Flagging the Topographic Impact on the SMOS Signal , 2008, IEEE Transactions on Geoscience and Remote Sensing.
[14] Hong Lin,et al. Early Warning System of Forest Fire Detection Based on Video Technology , 2014 .
[15] Arnaud Mialon,et al. The SMOS Soil Moisture Retrieval Algorithm , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[16] M. Flannigan,et al. Future wildfire in circumboreal forests in relation to global warming , 1998 .
[17] Quazi K. Hassan,et al. Development of a New Daily-Scale Forest Fire Danger Forecasting System Using Remote Sensing Data , 2015, Remote. Sens..
[18] José Martínez-Fernández,et al. A soil water based index as a suitable agricultural drought indicator , 2015 .
[19] P. Montesano,et al. Examining the Relationship Between Snowfall and Wildfire Patterns in the Western United States , 2002 .
[20] Martin E. Alexander,et al. Calculating and interpreting forest fire intensities , 1982 .
[21] T. Swetnam,et al. Warming and Earlier Spring Increase Western U.S. Forest Wildfire Activity , 2006, Science.
[22] Sergio M. Vicente-Serrano,et al. SMOS‐derived soil moisture anomalies and drought indices: a comparative analysis using in situ measurements , 2015 .
[23] C. Nock,et al. Forest fire occurrence and climate change in Canada , 2010 .
[24] María Piles,et al. A New Soil Moisture Agricultural Drought Index (SMADI) Integrating MODIS and SMOS Products: A Case of Study over the Iberian Peninsula , 2016, Remote. Sens..
[25] Arnaud Mialon,et al. Three years of L-band brightness temperature measurements in a mountainous area: Topography, vegetation and snowmelt issues , 2016 .
[26] Kalifa Goita,et al. The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Prelaunch Calibration and Validation of the SMAP Soil Moisture Algorithms , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[27] Binbin He,et al. Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation , 2019, Remote. Sens..
[28] A. Weaver,et al. Detecting the effect of climate change on Canadian forest fires , 2004 .
[29] Jiancheng Shi,et al. The Soil Moisture Active Passive (SMAP) Mission , 2010, Proceedings of the IEEE.
[30] Douglas K. Bolton,et al. Characterizing residual structure and forest recovery following high-severity fire in the western boreal of Canada using Landsat time-series and airborne lidar data , 2015 .
[31] Adriano Camps,et al. A Downscaling Approach for SMOS Land Observations: Evaluation of High-Resolution Soil Moisture Maps Over the Iberian Peninsula , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[32] Yonghe Wang,et al. Spatial patterns of forest fires in Canada, 1980-1999 , 2006 .
[33] W. Kurz,et al. An inventory-based analysis of Canada's managed forest carbon dynamics, 1990 to 2008 , 2011, Global Change Biology.
[34] Sofia L. Ermida,et al. Calibration of the Fire Weather Index over Mediterranean Europe based on fire activity retrieved from MSG satellite imagery , 2014 .
[35] Adriano Camps,et al. SMOS and climate data applicability for analyzing forest decline and forest fires , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.
[36] A. Berg,et al. Canola yield sensitivity to climate indicators and passive microwave-derived soil moisture estimates in Saskatchewan, Canada , 2019, Agricultural and Forest Meteorology.
[37] Mehdi Hosseini,et al. Evaluation of SMOS soil moisture products over the CanEx-SM10 area , 2015 .
[38] José Martínez-Fernández,et al. Satellite soil moisture for agricultural drought monitoring: Assessment of the SMOS derived Soil Water Deficit Index , 2016 .
[39] Dara Entekhabi,et al. Vegetation optical depth and scattering albedo retrieval using time series of dual-polarized L-band radiometer observations , 2016 .
[40] K. Hirsch,et al. Direct carbon emissions from Canadian forest fires, 1959-1999 , 2001 .
[41] Randal D. Koster,et al. Soil Moisture Memory in AGCM Simulations: Analysis of Global Land–Atmosphere Coupling Experiment (GLACE) Data , 2004 .
[42] A. Syphard,et al. Climate Change and Future Fire Regimes: Examples from California , 2016 .
[43] Yann Kerr,et al. Assessment of the SMAP Passive Soil Moisture Product , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[44] Jinqiang Cui,et al. UAV LiDAR for below-canopy forest surveys , 2013 .
[45] Christiane Schmullius,et al. Extreme fire events are related to previous-year surface moisture conditions in permafrost-underlain larch forests of Siberia , 2012 .
[46] Kalifa Goita,et al. Canadian Experiment for Soil Moisture in 2010 (CanEx-SM10): Overview and Preliminary Results , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[47] K. Hirsch,et al. Large forest fires in Canada, 1959–1997 , 2002 .
[48] Klaus Scipal,et al. An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[49] Heather McNairn,et al. Evaluation of near-surface soil moisture data from an AAFC monitoring network in Manitoba, Canada: Implications for L-band satellite validation , 2015 .
[50] M. Mudelsee,et al. Past and future changes in Canadian boreal wildfire activity. , 2008, Ecological applications : a publication of the Ecological Society of America.
[51] Dara Entekhabi,et al. L-band vegetation optical depth and effective scattering albedo estimation from SMAP. , 2017 .
[52] Aaron A. Berg,et al. Influence of snowmelt on soil moisture and on near surface air temperature during winter–spring transition season , 2018, Climate Dynamics.
[53] B. Leblon. Monitoring Forest Fire Danger with Remote Sensing , 2005 .