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GIScience & Remote Sensing Volume 52, 2015 - Issue 5
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Articles

Post-wildfire assessment of vegetation regeneration in Bastrop, Texas, using Landsat imagery

Richard J. LeeTexas A&M Transportation Institute, Texas A&M University System, Austin, USA
&
T. Edwin ChowDepartment of Geography, Texas State University, San Marcos, USACorrespondence[email protected]
Pages 609-626 | Received 20 Dec 2014, Accepted 23 May 2015, Published online: 30 Jun 2015

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Kyungil Lee, Byeongcheol Kim & Seonyoung Park. (2023) Evaluating the potential of burn severity mapping and transferability of Copernicus EMS data using Sentinel-2 imagery and machine learning approaches. GIScience & Remote Sensing 60:1.
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Giorgos Mallinis, Ioannis Mitsopoulos & Irene Chrysafi. (2018) Evaluating and comparing Sentinel 2A and Landsat-8 Operational Land Imager (OLI) spectral indices for estimating fire severity in a Mediterranean pine ecosystem of Greece. GIScience & Remote Sensing 55:1, pages 1-18.
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Articles from other publishers (9)

Eldar Kurbanov, Oleg Vorobev, Sergey Lezhnin, Jinming Sha, Jinliang Wang, Xiaomei Li, Janine Cole, Denis Dergunov & Yibo Wang. (2022) Remote Sensing of Forest Burnt Area, Burn Severity, and Post-Fire Recovery: A Review. Remote Sensing 14:19, pages 4714.
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Thanchira Suriyamongkol, Kaitlyn Forks, Andrea Villamizar-Gomez, Hsiao-Hsuan Wang, William E. Grant, Michael R. J. Forstner & Ivana Mali. (2021) A Simple Conservation Tool to Aid Restoration of Amphibians following High-Severity Wildfires: Use of PVC Pipes by Green Tree Frogs (Hyla cinerea) in Central Texas, USA. Diversity 13:12, pages 649.
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Sol C. Cooperdock, Christine V. Hawkes, Derry R. Xu & Daniel O. Breecker. (2020) Soil Water Content and Soil Respiration Rates Are Reduced for Years Following Wildfire in a Hot and Dry Climate. Global Biogeochemical Cycles 34:12.
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David Szpakowski & Jennifer Jensen. (2019) A Review of the Applications of Remote Sensing in Fire Ecology. Remote Sensing 11:22, pages 2638.
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Jae-Hyun Ryu, Kyung-Soo Han, Sungwook Hong, No-Wook Park, Yang-Won Lee & Jaeil Cho. (2018) Satellite-Based Evaluation of the Post-Fire Recovery Process from the Worst Forest Fire Case in South Korea. Remote Sensing 10:6, pages 918.
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Ran Meng, Jin Wu, Feng Zhao, Bruce D. Cook, Ryan P. Hanavan & Shawn P. Serbin. (2018) Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using multi-sensor remote sensing techniques. Remote Sensing of Environment 210, pages 282-296.
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Samuel Saxe, Terri S. Hogue & Lauren Hay. (2018) Characterization and evaluation of controls on post-fire streamflow response across western US watersheds. Hydrology and Earth System Sciences 22:2, pages 1221-1237.
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S. Youn & C. Lee. (2016) Optimizing signal and discriminant information for hyperspectral images. Optimizing signal and discriminant information for hyperspectral images.
Ran Meng, Philip E. Dennison, Chengquan Huang, Max A. Moritz & Carla D'Antonio. (2015) Effects of fire severity and post-fire climate on short-term vegetation recovery of mixed-conifer and red fir forests in the Sierra Nevada Mountains of California. Remote Sensing of Environment 171, pages 311-325.
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