Citations (18)
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Kewei Li & Erqi Xu. (2023) Differentiating effects of salvage logging and recovery patterns on post-fire boreal forests in Northeast China using a modified forest disturbance index. GIScience & Remote Sensing 60:1.
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Nikos Koutsias & Magdalini Pleniou. (2021) A rule-based semi-automatic method to map burned areas in Mediterranean using Landsat images – revisited and improved. International Journal of Digital Earth 14:11, pages 1602-1623.
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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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Jonathan B. Thayn & Korey L. Buss. (2015) Monitoring fire recovery in a tallgrass prairie using a weighted disturbance index. GIScience & Remote Sensing 52:5, pages 527-542.
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Richard J. Lee & T. Edwin Chow. (2015) Post-wildfire assessment of vegetation regeneration in Bastrop, Texas, using Landsat imagery. GIScience & Remote Sensing 52:5, pages 609-626.
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Fei Yuan, Cuizhen Wang & Martin Mitchell. (2014) Spatial patterns of land surface phenology relative to monthly climate variations: US Great Plains. GIScience & Remote Sensing 51:1, pages 30-50.
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Nikos Koutsias, Magdalini Pleniou, Giorgos Mallinis, Foula Nioti & NikolasI. Sifakis. (2013) A rule-based semi-automatic method to map burned areas: exploring the USGS historical Landsat archives to reconstruct recent fire history. International Journal of Remote Sensing 34:20, pages 7049-7068.
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KoKo Lwin & Yuji Murayama. (2013) Evaluation of land cover classification based on multispectral versus pansharpened landsat ETM+ imagery. GIScience & Remote Sensing 50:4, pages 458-472.
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Magdalini Pleniou, Fotios Xystrakis, Panayotis Dimopoulos & Nikos Koutsias. (2012) Maps of fire occurrence – spatially explicit reconstruction of recent fire history using satellite remote sensing. Journal of Maps 8:4, pages 499-506.
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Ku Wang, Chuanrong Zhang & Weidong Li. (2012) Comparison of Geographically Weighted Regression and Regression Kriging for Estimating the Spatial Distribution of Soil Organic Matter. GIScience & Remote Sensing 49:6, pages 915-932.
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Foula Nioti, Panayotis Dimopoulos & Nikos Koutsias. (2011) Correcting the Fire Scar Perimeter of a 1983 Wildfire Using USGS-Archived Landsat Satellite Data. GIScience & Remote Sensing 48:4, pages 600-613.
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Articles from other publishers (7)
Ty J. Werdel, Jonathan A. Jenks, John T. Kanta, Chadwick P. Lehman & Teresa J. Frink. (2023) Resource Selection and Herbaceous Biomass at Foraging Sites of Translocated Bighorn Sheep. Rangeland Ecology & Management 87, pages 141-149.
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Daniel Scheffler & David Frantz. (2022) Improved burn severity estimation by using Land Surface Phenology metrics and red edge information estimated from Landsat. International Journal of Applied Earth Observation and Geoinformation 115, pages 103126.
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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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Hongfen Zhu, Haoxi Ding, Rutian Bi & Meiting Hou. (2021) Large-extent spatial heterogeneity of soil bioavailable micronutrients and the relative roles of environmental indicators on them within maize fields. Ecological Indicators 130, pages 108071.
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Mariana Verdonen, Logan T Berner, Bruce C Forbes & Timo Kumpula. (2020) Periglacial vegetation dynamics in Arctic Russia: decadal analysis of tundra regeneration on landslides with time series satellite imagery. Environmental Research Letters 15:10, pages 105020.
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Jaume Benseny, Juuso Töyli, Heikki Hämmäinen & Andrés Arcia-Moret. (2019) The mitigating role of regulation on the concentric patterns of broadband diffusion. The case of Finland. Telematics and Informatics 41, pages 139-155.
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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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