Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire

Articles citing this paper

Monitoring post-wildfire vegetation response with remotely sensed time-series data in Spain, USA and Israel

Willem J. D. van Leeuwen A B H , Grant M. Casady A , Daniel G. Neary C , Susana Bautista D , José Antonio Alloza E , Yohay Carmel F , Lea Wittenberg G , Dan Malkinson G and Barron J. Orr A
+ Author Affiliations
- Author Affiliations

A School of Natural Resources and the Environment, Office of Arid Lands Studies, 1955 E 6th Street, University of Arizona, Tucson, AZ 85721, USA.

B School of Geography and Development, University of Arizona, Tucson, AZ 85721, USA.

C USDA Rocky Mountain Research Station, 2500 South Pine Knoll Drive, Flagstaff, AZ 86001, USA.

D Departamento de Ecología, Apartado 99, Universidad de Alicante, E-03080 Alicante, Spain.

E Fundación Centro de Estudios Ambientales del Mediterráneo, Charles Darwin, 14, E-46980 Paterna, Spain.

F Faculty of Civil and Environmental Engineering, Technion, Haifa 32000, Israel.

G Department of Geography and Environmental Studies, University of Haifa, Haifa 31905, Israel.

H Corresponding author. Email: leeuw@ag.arizona.edu

International Journal of Wildland Fire 19(1) 75-93 https://doi.org/10.1071/WF08078
Submitted: 20 May 2008  Accepted: 22 June 2009   Published: 5 February 2010



99 articles found in Crossref database.

Combining ground-based measurements and MODIS-based spectral vegetation indices to track biomass accumulation in post-fire chaparral
Uyeda Kellie A., Stow Douglas A., Roberts Dar A., Riggan Philip J.
International Journal of Remote Sensing. 2017 38(3). p.728
Grassland Wildfires in the Southern Great Plains: Monitoring Ecological Impacts and Recovery
Steiner Jean L., Wetter Jeffrey, Robertson Shelby, Teet Stephen, Wang Jie, Wu Xiaocui, Zhou Yuting, Brown David, Xiao Xiangming
Remote Sensing. 2020 12(4). p.619
A model for mapping burned areas from multi-spectral images
2023 27th International Conference on System Theory, Control and Computing (ICSTCC) (2023)
Becheru Alex, Baciu Lidia-Ana-Maria, Cara Cosmin, Nicola Laurenţiu
Satellite Information Classification and Interpretation (2019)
C. DaCamara Carlos, Libonati Renata, M. Pinto Miguel, Hurduc Alexandra
Local community involvement in nature conservation under the auspices of Community‐Based Natural Resource Management: A state of the art review
Rampheri Mangana B., Dube Timothy
African Journal of Ecology. 2021 59(4). p.799
Remote Sensing of Ecosystem Health: Opportunities, Challenges, and Future Perspectives
Li Zhaoqin, Xu Dandan, Guo Xulin
Sensors. 2014 14(11). p.21117
Dryland vegetation phenology across an elevation gradient in Arizona, USA, investigated with fused MODIS and Landsat data
Walker J.J., de Beurs K.M., Wynne R.H.
Remote Sensing of Environment. 2014 144 p.85
A Framework for Multi-Dimensional Assessment of Wildfire Disturbance Severity from Remotely Sensed Ecosystem Functioning Attributes
Marcos Bruno, Gonçalves João, Alcaraz-Segura Domingo, Cunha Mário, Honrado João P.
Remote Sensing. 2021 13(4). p.780
Is Landscape a Driver of Short-term Wildfire Recurrence?
Barbati Anna, Corona Piermaria, D’amato Enrico, Cartisano Rosaria
Landscape Research. 2015 40(1). p.99
Indicator-based assessment of post-fire recovery dynamics using satellite NDVI time-series
João Torres, João Gonçalves, Bruno Marcos, João Honrado
Ecological Indicators. 2018 89 p.199
Forest Fire Spread Monitoring and Vegetation Dynamics Detection Based on Multi-Source Remote Sensing Images
Tian Yuping, Wu Zechuan, Li Mingze, Wang Bin, Zhang Xiaodi
Remote Sensing. 2022 14(18). p.4431
Combining aerial LiDAR and multispectral imagery to assess postfire regeneration types in a Mediterranean forest
Martín-Alcón Santiago, Coll Lluís, De Cáceres Miquel, Guitart Lídia, Cabré Mariló, Just Ariadna, González-Olabarría José Ramón
Canadian Journal of Forest Research. 2015 45(7). p.856
Improved simulation of fire–vegetation interactions in the Land surface Processes and eXchanges dynamic global vegetation model (LPX-Mv1)
Kelley D. I., Harrison S. P., Prentice I. C.
Geoscientific Model Development. 2014 7(5). p.2411
Landscape – wildfire interactions in southern Europe: Implications for landscape management
Moreira Francisco, Viedma Olga, Arianoutsou Margarita, Curt Thomas, Koutsias Nikos, Rigolot Eric, Barbati Anna, Corona Piermaria, Vaz Pedro, Xanthopoulos Gavriil, Mouillot Florent, Bilgili Ertugrul
Journal of Environmental Management. 2011 92(10). p.2389
Synthetic RapidEye data used for the detection of area-based spruce tree mortality induced by bark beetles
Latifi Hooman, Dahms Thorsten, Beudert Burkhard, Heurich Marco, Kübert Carina, Dech Stefan
GIScience & Remote Sensing. 2018 55(6). p.839
Machine Learning for Modeling Vegetation Restoration of Forests Using Satellite Images
2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI) (2024)
Karimi Saeideh, Heidari Mehdi, Mosavi Amir
Is initial post‐disturbance regeneration indicative of longer‐term trajectories?
Gill Nathan S., Jarvis Daniel, Veblen Thomas T., Pickett Steward T. A., Kulakowski Dominik
Ecosphere. 2017 8(8).
Assessment of post-fire changes in land surface temperature and surface albedo, and their relation with fire - burn severity using multitemporal MODIS imagery
Veraverbeke Sander, Verstraeten Willem W., Lhermitte Stefaan, Van De Kerchove Ruben, Goossens Rudi
International Journal of Wildland Fire. 2012 21(3). p.243
Modeling the Landscape Drivers of Fire Recurrence in Sardinia (Italy)
Ricotta Carlo, Di Vito Stefania
Environmental Management. 2014 53(6). p.1077
Using MODIS data to analyse post-fire vegetation recovery in Australian eucalypt forests
Caccamo Gabriele, Bradstock Ross, Collins Luke, Penman Trent, Watson Penny
Journal of Spatial Science. 2015 60(2). p.341
Spatially explicit reconstruction of post-megafire forest recovery through landscape modeling
Xu Wenru, He Hong S., Fraser Jacob S., Hawbaker Todd J., Henne Paul D., Duan Shengwu, Zhu Zhiliang
Environmental Modelling & Software. 2020 134 p.104884
Spectral mixture analysis to assess post-fire vegetation regeneration using Landsat Thematic Mapper imagery: Accounting for soil brightness variation
Veraverbeke S., Somers B., Gitas I., Katagis T., Polychronaki A., Goossens R.
International Journal of Applied Earth Observation and Geoinformation. 2012 14(1). p.1
Remote-Sensing Monitoring of Postfire Vegetation Dynamics in the Greater Hinggan Mountain Range Based on Long Time-Series Data: Analysis of the Effects of Six Topographic and Climatic Factors
Chen Xu, Chen Wei, Xu Min
Remote Sensing. 2022 14(13). p.2958
Automatic Annotation of Change Detection Images
Neptune Nathalie, Mothe Josiane
Sensors. 2021 21(4). p.1110
Assessing postfire recovery of chamise chaparral using multi-temporal spectral vegetation index trajectories derived from Landsat imagery
Storey Emanuel A., Stow Douglas A., O'Leary John F.
Remote Sensing of Environment. 2016 183 p.53
Fisher–Shannon information plane analysis of SPOT/VEGETATION Normalized Difference Vegetation Index (NDVI) time series to characterize vegetation recovery after fire disturbance
Lanorte Antonio, Lasaponara Rosa, Lovallo Michele, Telesca Luciano
International Journal of Applied Earth Observation and Geoinformation. 2014 26 p.441
Retrospective analysis of two northern California wild-land fires via Landsat five satellite imagery and Normalized Difference Vegetation Index (NDVI)
Sall Bennett, Jenkins Michael W., Pushnik James
Open Journal of Ecology. 2013 03(04). p.311
Phenology Patterns and Postfire Vegetation Regeneration in the Chiquitania Region of Bolivia Using Sentinel-2
Maillard Oswaldo, Flores-Valencia Marcio, Michme Gilka, Coronado Roger, Bachfischer Mercedes, Azurduy Huascar, Vides-Almonacid Roberto, Flores Reinaldo, Angulo Sixto, Mielich Nicolas
Fire. 2022 5(3). p.70
Remote Sensing Monitoring of Vegetation Dynamic Changes after Fire in the Greater Hinggan Mountain Area: The Algorithm and Application for Eliminating Phenological Impacts
Huang Zhibin, Cao Chunxiang, Chen Wei, Xu Min, Dang Yongfeng, Singh Ramesh, Bashir Barjeece, Xie Bo, Lin Xiaojuan
Remote Sensing. 2020 12(1). p.156
Future impact of climate extremes in the Mediterranean: Soil erosion projections when fire and extreme rainfall meet
Morán‐Ordóñez Alejandra, Duane Andrea, Gil‐Tena Assu, De Cáceres Miquel, Aquilué Núria, Guerra Carlos A., Geijzendorffer Ilse R., Fortin Marie‐Josée, Brotons Lluís
Land Degradation & Development. 2020 31(18). p.3040
Evaluating Effects of Post-Fire Climate and Burn Severity on the Early-Term Regeneration of Forest and Shrub Communities in the San Gabriel Mountains of California from Sentinel-2(MSI) Images
Liu Qi, Fu Bolin, Chen Zhili, Chen Li, Liu Lixi, Peng Wudi, Liang Yaquan, Chen Lin
Forests. 2022 13(7). p.1060
Fire Recurrence and Normalized Difference Vegetation Index (NDVI) Dynamics in Brazilian Savanna
Santana Níckolas
Fire. 2018 2(1). p.1
Detection and mapping of burnt areas from time series of MODIS-derived NDVI data in a Mediterranean region
García Miguel, Alloza José, Mayor Ángeles, Bautista Susana, Rodríguez Francisco
Open Geosciences. 2014 6(1).
Vegetation responses to sagebrush-reduction treatments measured by satellites
Johnston Aaron N., Beever Erik A., Merkle Jerod A., Chong Geneva
Ecological Indicators. 2018 87 p.66
The effect of wildfires on vegetation cover and dune activity in Australia's desert dunes: a multisensor analysis
Levin N., Levental S., Morag H.
International Journal of Wildland Fire. 2012 21(4). p.459
Understanding and modelling wildfire regimes: an ecological perspective
Harrison Sandy P, Prentice I Colin, Bloomfield Keith J, Dong Ning, Forkel Matthias, Forrest Matthew, Ningthoujam Ramesh K, Pellegrini Adam, Shen Yicheng, Baudena Mara, Cardoso Anabelle W, Huss Jessica C, Joshi Jaideep, Oliveras Imma, Pausas Juli G, Simpson Kimberley J
Environmental Research Letters. 2021 16(12). p.125008
Mapping of Soil Nutrient Variability and Delineating Site-Specific Management Zones Using Fuzzy Clustering Analysis in Eastern Coastal Region, India
Srinivasan R., Shashikumar B. N., Singh S. K.
Journal of the Indian Society of Remote Sensing. 2022 50(3). p.533
Predicting continuous variation in forest fuel load using biophysical models: a case study in south-eastern Australia
Duff Thomas J., Bell Tina L., York Alan
International Journal of Wildland Fire. 2013 22(3). p.318
Plant phenological modeling and its application in global climate change research: overview and future challenges
Zhao Meifang, Peng Changhui, Xiang Wenhua, Deng Xiangwen, Tian Dalun, Zhou Xiaolu, Yu Guirui, He Honglin, Zhao Zhonghui
Environmental Reviews. 2013 21(1). p.1
Assessment of Post-Fire Vegetation Recovery Using Fire Severity and Geographical Data in the Mediterranean Region (Spain)
Viana-Soto Alba, Aguado Inmaculada, Martínez Susana
Environments. 2017 4(4). p.90
Assessment of Post-Fire Phenological Changes Using MODIS-Derived Vegetative Indices in the Semiarid Oak Forests
Karimi Saeideh, Heydari Mehdi, Mirzaei Javad, Karami Omid, Heung Brandon, Mosavi Amir
Forests. 2023 14(3). p.590
Satellite-Based Evaluation of the Post-Fire Recovery Process from the Worst Forest Fire Case in South Korea
Ryu Jae-Hyun, Han Kyung-Soo, Hong Sungwook, Park No-Wook, Lee Yang-Won, Cho Jaeil
Remote Sensing. 2018 10(6). p.918
Impacts of wildfires on interannual trends in land surface phenology: an investigation of the Hayman Fire
Wang Jianmin, Zhang Xiaoyang
Environmental Research Letters. 2017 12(5). p.054008
Effect of the current major insect outbreaks on decadal phenological and LAI trends in southern Rocky Mountain forests
Buma Brian, Pugh Evan T., Wessman Carol A.
International Journal of Remote Sensing. 2013 34(20). p.7249
Hyperspectral remote sensing of fire: State-of-the-art and future perspectives
Veraverbeke Sander, Dennison Philip, Gitas Ioannis, Hulley Glynn, Kalashnikova Olga, Katagis Thomas, Kuai Le, Meng Ran, Roberts Dar, Stavros Natasha
Remote Sensing of Environment. 2018 216 p.105
Remote Sensing of Forest Burnt Area, Burn Severity, and Post-Fire Recovery: A Review
Kurbanov Eldar, Vorobev Oleg, Lezhnin Sergey, Sha Jinming, Wang Jinliang, Li Xiaomei, Cole Janine, Dergunov Denis, Wang Yibo
Remote Sensing. 2022 14(19). p.4714
Postfire recruitment failure in Scots pine forests of southern Siberia
Barrett Kirsten, Baxter Robert, Kukavskaya Elena, Balzter Heiko, Shvetsov Evgeny, Buryak Ludmila
Remote Sensing of Environment. 2020 237 p.111539
Assessing the resilience of ecosystem functioning to wildfires using satellite-derived metrics of post-fire trajectories
Marcos Bruno, Gonçalves João, Alcaraz-Segura Domingo, Cunha Mário, Honrado João P.
Remote Sensing of Environment. 2023 286 p.113441
Effects of post-fire wood management strategies on vegetation recovery and land surface temperature (LST) estimated from Landsat images
Vlassova Lidia, Pérez-Cabello Fernando
International Journal of Applied Earth Observation and Geoinformation. 2016 44 p.171
Factors influencing national scale wildfire susceptibility in Canada
Gralewicz Nicholas J., Nelson Trisalyn A., Wulder Michael A.
Forest Ecology and Management. 2012 265 p.20
Using AHS hyper-spectral images to study forest vegetation recovery after a fire
Huesca Margarita, Merino-de-Miguel Silvia, González-Alonso Federico, Martínez Sergio, Miguel Cuevas José, Calle Abel
International Journal of Remote Sensing. 2013 34(11). p.4025
Phenology-based, remote sensing of post-burn disturbance windows in rangelands
Sankey Joel B., Wallace Cynthia S.A., Ravi Sujith
Ecological Indicators. 2013 30 p.35
Vegetation phenology dynamics across ecoregions of Iberian Peninsula from MODIS NDVI time series: 2001-2017
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXII (2020)
Caparros-Santiago Jose Antonio, Quesada-Ruiz Lorenzo Carlos, Garcia-Perez Miguel Angel, Rodriguez-Galiano Victor Francisco, Neale Christopher M., Maltese Antonino
Burned Area Mapping Using Multi-Temporal Sentinel-2 Data by Applying the Relative Differenced Aerosol-Free Vegetation Index (RdAFRI)
Salvoldi Manuel, Siaki Gil, Sprintsin Michael, Karnieli Arnon
Remote Sensing. 2020 12(17). p.2753
Human factors explain the majority of MODIS-derived trends in vegetation cover in Israel: a densely populated country in the eastern Mediterranean
Levin Noam
Regional Environmental Change. 2016 16(4). p.1197
Post-wildfire assessment of vegetation regeneration in Bastrop, Texas, using Landsat imagery
Lee Richard J., Chow T. Edwin
GIScience & Remote Sensing. 2015 52(5). p.609
Burn severity influence on post-fire vegetation cover resilience from Landsat MESMA fraction images time series in Mediterranean forest ecosystems
Fernandez-Manso Alfonso, Quintano Carmen, Roberts Dar A.
Remote Sensing of Environment. 2016 184 p.112
Using Hidden Markov Models for Land Surface Phenology: An Evaluation Across a Range of Land Cover Types in Southeast Spain
García Miguel, Moutahir Hassane, Casady Grant, Bautista Susana, Rodríguez Francisco
Remote Sensing. 2019 11(5). p.507
Phenology Patterns Indicate Recovery Trajectories of Ponderosa Pine Forests After High-Severity Fires
Walker Jessica J., Soulard Christopher E.
Remote Sensing. 2019 11(23). p.2782
Multiple remote sensing data sources to assess spatio-temporal patterns of fire incidence over Campos Amazônicos Savanna Vegetation Enclave (Brazilian Amazon)
Alves Daniel Borini, Pérez-Cabello Fernando
Science of The Total Environment. 2017 601-602 p.142
Remote Sensing Analysis of Vegetation Recovery following Short-Interval Fires in Southern California Shrublands
Meng Ran, Dennison Philip E., D’Antonio Carla M., Moritz Max A., Bond-Lamberty Ben
PLoS ONE. 2014 9(10). p.e110637
Using MODIS-NDVI for the Modeling of Post-Wildfire Vegetation Response as a Function of Environmental Conditions and Pre-Fire Restoration Treatments
Leon Jose Raul Romo, van Leeuwen Willem J.D., Casady Grant M.
Remote Sensing. 2012 4(3). p.598
Response of small mammal and tick communities to a catastrophic wildfire and implications for tick‐borne pathogens
Pascoe Emily L., Plourde Benjamin T., Lopéz‐Perez Andrés M., Foley Janet E.
Journal of Vector Ecology. 2020 45(2). p.269
Effects of Long-Term Fire Exclusion in the Modis NDVI Time Series in the Águas Emendadas Ecological Station, Brazil
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium (2019)
Santana Nickolas Castro, de Carvalho Junior Osmar Abilio, Trancoso Gomes Roberto Arnaldo, Fontes Guimaraes Renato
Spring and Autumn Phenological Variability across Environmental Gradients of Great Smoky Mountains National Park, USA
Norman Steven, Hargrove William, Christie William
Remote Sensing. 2017 9(5). p.407
Estimation of post-fire vegetation recovery in boreal forests using solar-induced chlorophyll fluorescence (SIF) data
Guo Meng, Li Jing, Yu Fangbing, Yin Shuai, Huang Shubo, Wen Lixiang
International Journal of Wildland Fire. 2021 30(5). p.365
Selecting Control Sites for Post-Fire Ecological Studies Using Biological Criteria and MODIS Time Series Data
Landi Marcos A., Di Bella Carlos, Ojeda Silvia, Salvatierra Paola, Argañaraz Juan, Bellis Laura M.
Fire Ecology. 2017 13(2). p.1
Facing the Wildfire Spread Risk Challenge: Where Are We Now and Where Are We Going?
Sun Jingjing, Qi Wenwen, Huang Yuandong, Xu Chong, Yang Wentao
Fire. 2023 6(6). p.228
Monitoring post-fire vegetation recovery in the Mediterranean using SPOT and ERS imagery
Polychronaki A., Gitas I. Z., Minchella A.
International Journal of Wildland Fire. 2014 23(5). p.631
Forest Landscapes and Global Change (2014)
Rego Francisco C., Silva Joaquim S.
Multi-index time series monitoring of drought and fire effects on desert grasslands
Villarreal Miguel L., Norman Laura M., Buckley Steven, Wallace Cynthia S.A., Coe Michelle A.
Remote Sensing of Environment. 2016 183 p.186
Forest composition effect on wildfire pattern and run‐off regime in a Mediterranean watershed
Ohana‐Levi Noa, Givati Amir, Paz‐Kagan Tarin, Karnieli Arnon
Ecohydrology. 2018 11(4).
An intercomparison of Satellite Burned Area Maps derived from MODIS, MERIS, SPOT-VEGETATION, and ATSR images. An application to the August 2006 Galicia (Spain) forest fires
Huesca M., Merino de Miguel S., González-Alonso F.
Forest Systems. 2013 22(2). p.222
Evaluating the utility and seasonality of NDVI values for assessing post-disturbance recovery in a subalpine forest
Buma Brian
Environmental Monitoring and Assessment. 2012 184(6). p.3849
Modeling Forest Fire Spread Using Machine Learning-Based Cellular Automata in a GIS Environment
Xu Yiqing, Li Dianjing, Ma Hao, Lin Rong, Zhang Fuquan
Forests. 2022 13(12). p.1974
Vegetation greening in Spain detected from long term data (1981–2015)
Vicente-Serrano Sergio M., Martín-Hernández Natalia, Reig Fergus, Azorin-Molina Cesar, Zabalza Javier, Beguería Santiago, Domínguez-Castro Fernando, El Kenawy Ahmed, Peña-Gallardo Marina, Noguera Iván, García Mónica
International Journal of Remote Sensing. 2020 41(5). p.1709
Investigation of wildfire impacts on land surface phenology from MODIS time series in the western US forests
Wang Jianmin, Zhang Xiaoyang
ISPRS Journal of Photogrammetry and Remote Sensing. 2020 159 p.281
Spatio-Temporal Analysis of Vegetation Dynamics in Relation to Shifting Inundation and Fire Regimes: Disentangling Environmental Variability from Land Management Decisions in a Southern African Transboundary Watershed
Pricope Narcisa, Gaughan Andrea, All John, Binford Michael, Rutina Lucas
Land. 2015 4(3). p.627
Detection of goat herding impact on vegetation cover change using multi-season, multi-herd tracking and satellite imagery
Paz-Kagan Tarin, Alexandroff Vladimir, Ungar Eugene David
Science of The Total Environment. 2023 895 p.164830
Does short-interval fire inhibit postfire recovery of chaparral across southern California?
Storey Emanuel A., Stow Douglas A., O'Leary John F., Davis Frank W., Roberts Dar A.
Science of The Total Environment. 2021 751 p.142271
Tropical Dry Forest Resilience to Fire Depends on Fire Frequency and Climate
Hartung Maximilian, Carreño-Rocabado Geovana, Peña-Claros Marielos, van der Sande Masha T.
Frontiers in Forests and Global Change. 2021 4
Quantifying Forest Fire and Post-Fire Vegetation Recovery in the Daxin’anling Area of Northeastern China Using Landsat Time-Series Data and Machine Learning
Qiu Jie, Wang Heng, Shen Wenjuan, Zhang Yali, Su Huiyi, Li Mingshi
Remote Sensing. 2021 13(4). p.792
Phenological Characterization of Desert Sky Island Vegetation Communities with Remotely Sensed and Climate Time Series Data
Van Leeuwen Willem J.D., Davison Jennifer E., Casady Grant M., Marsh Stuart E.
Remote Sensing. 2010 2(2). p.388
Assessing post-fire vegetation recovery using red–near infrared vegetation indices: Accounting for background and vegetation variability
Veraverbeke S., Gitas I., Katagis T., Polychronaki A., Somers B., Goossens R.
ISPRS Journal of Photogrammetry and Remote Sensing. 2012 68 p.28
Post-Fire Recovery of Eucalypt-Dominated Vegetation Communities in the Sydney Basin, Australia
Heath Jessica T., Chafer Chris J., Bishop Thomas F. A., Van Ogtrop Floris F.
Fire Ecology. 2016 12(3). p.53
Structural resistance and functional resilience of the Chaco forest to wildland fires: an approach with MODIS time series
Landi Marcos A., Di Bella Carlos M., Bravo Sandra J., Bellis Laura M.
Austral Ecology. 2021 46(2). p.277
Mapping spatial and temporal patterns of Mediterranean wildfires from MODIS
Levin Noam, Heimowitz Aliza
Remote Sensing of Environment. 2012 126 p.12
Temporal Greenness Trends in Stable Natural Land Cover and Relationships with Climatic Variability across the Conterminous United States
Ji Lei, Brown Jesslyn F.
Earth Interactions. 2022 26(1). p.66
Mapping burn severity and monitoring CO content in Türkiye’s 2021 Wildfires, using Sentinel-2 and Sentinel-5P satellite data on the GEE platform
Yilmaz Osman Salih, Acar Ugur, Sanli Fusun Balik, Gulgen Fatih, Ates Ali Murat
Earth Science Informatics. 2023 16(1). p.221
Plant bioclimatic models in climate change research
Chiou Chyi-Rong, Hsieh Tung-Yu, Chien Chang-Chi
Botanical Studies. 2015 56(1).
Land Use and Environmental Variability Impacts on the Phenology of Arid Agro-Ecosystems
Romo-Leon Jose Raul, van Leeuwen Willem J. D., Castellanos-Villegas Alejandro
Environmental Management. 2016 57(2). p.283
Post-fire resilience in the Alpine region estimated from MODIS satellite multispectral data
Di Mauro B., Fava F., Busetto L., Crosta G.F., Colombo R.
International Journal of Applied Earth Observation and Geoinformation. 2014 32 p.163
Characterizing the effects of climate change on short-term post-disturbance forest recovery in southern China from Landsat time-series observations (1988–2016)
Zhu Fangyan, Wang Heng, Li Mingshi, Diao Jiaojiao, Shen Wenjuan, Zhang Yali, Wu Hongji
Frontiers of Earth Science. 2020 14(4). p.816
Recognising fuzzy vegetation pattern: the spatial prediction of floristically defined fuzzy communities using species distribution modelling methods
Duff Thomas J., Bell Tina L., York Alan, Wildi Otto
Journal of Vegetation Science. 2014 25(2). p.323
Successional stage after land abandonment modulates fire severity and post-fire recovery in a Mediterranean mountain landscape
López-Poma Rosario, Orr Barron J., Bautista Susana
International Journal of Wildland Fire. 2014 23(7). p.1005
Examining post-fire vegetation recovery with Landsat time series analysis in three western North American forest types
Bright Benjamin C., Hudak Andrew T., Kennedy Robert E., Braaten Justin D., Henareh Khalyani Azad
Fire Ecology. 2019 15(1).
Agreement Index for Burned Area Mapping: Integration of Multiple Spectral Indices Using Sentinel-2 Satellite Images
Smiraglia Daniela, Filipponi Federico, Mandrone Stefania, Tornato Antonella, Taramelli Andrea
Remote Sensing. 2020 12(11). p.1862
Post-wildfire recovery of water yield in the Sydney Basin water supply catchments: An assessment of the 2001/2002 wildfires
Heath J.T., Chafer C.J., van Ogtrop F.F., Bishop T.F.A.
Journal of Hydrology. 2014 519 p.1428
Physically‐Based Modelling of the Post‐Fire Runoff Response of a Forest Catchment in Central Portugal: Using Field versus Remote Sensing Based Estimates of Vegetation Recovery
Van Eck Christel M., Nunes Joao P., Vieira Diana C. S., Keesstra Saskia, Keizer Jan Jacob
Land Degradation & Development. 2016 27(5). p.1535

Committee on Publication Ethics


Abstract Export Citation Get Permission