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A Spatio-Temporal Model for Forest Fire Detection Using HJ-IRS Satellite Data

Lei Lin, Yu Meng, Anzhi Yue, Yuan Yuan, Xiaoyi Liu, Jingbo Chen, Mengmeng Zhang, Jiansheng Chen
2016 Remote Sensing  
This paper presents a spatio-temporal model (STM) based forest fire detection method that uses multiple images of the inspected scene.  ...  In this paper, we propose a novel spatio-temporal model that uses spatial contextual and temporal information to detect active forest fires.  ...  Figure 6 . 6 Workflow of the spatio-temporal model (STM) based forest fire detection method. Figure 6 . 6 Workflow of the spatio-temporal model (STM) based forest fire detection method.  ... 
doi:10.3390/rs8050403 fatcat:2flleemn2rdorkvyqaijmxrcre

A Spatio-Temporal Brightness Temperature Prediction Method for Forest Fire Detection with MODIS Data: A Case Study in San Diego

Adu Gong, Jing Li, Yanling Chen
2021 Remote Sensing  
Based on the widely used contextual BT prediction model (CM) and temporal-contextual BT prediction model (TCM), we proposed a spatio-temporal contextual BT prediction model (STCM), which involves historical  ...  Early detection of forest fire is helpful for monitoring the spread of fire promptly, minimizing the loss of forests, wild animals, human life, and economy.  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13152900 fatcat:bxk6r6conzgkpbstbysigjmcqq

A Spatiotemporal Contextual Model for Forest Fire Detection Using Himawari-8 Satellite Data

Zixi Xie, Weiguo Song, Rui Ba, Xiaolian Li, Long Xia
2018 Remote Sensing  
Two of the main remote sensing data resources for forest fire detection have significant drawbacks: geostationary Earth Observation (EO) satellites have high temporal resolution but low spatial resolution  ...  This paper fills this gap by presenting a spatiotemporal contextual model (STCM) that fully exploits geostationary data's spatial and temporal dimensions based on the data from Himawari-8 Satellite.  ...  Center of USTC (University of Science and Technology of China) for their support with data access and services.  ... 
doi:10.3390/rs10121992 fatcat:dpvkjhncn5h7hgauzi2j3l2za4

A Review of Swidden Agriculture in Southeast Asia

Peng Li, Zhiming Feng, Luguang Jiang, Chenhua Liao, Jinghua Zhang
2014 Remote Sensing  
Many approaches for investigating fire occurrence and burned area can be introduced for swidden agriculture mapping due to the common feature of fire relatedness.  ...  reduce carbon emission due to deforestation and forest degradation.  ...  As a number of previously or currently optional sensors (like Landsat MSS, SPOT-1/2/3, IRS WiFS, and HJ A/B) only consist of NIR and visible bands, the NIR-Red range is critical for mapping historical  ... 
doi:10.3390/rs6021654 fatcat:4bko4b5emrgnzi226ylzxkj3cu

Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions

2018 Remote Sensing  
As a result, integrated use of data from different sensors has become increasingly popular in the past decade.  ...  Although remote sensing technologies have experienced rapid development in recent years, data acquired from a single satellite sensor are often unable to satisfy our demand.  ...  The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.  ... 
doi:10.3390/rs10040527 fatcat:lplwrowbfvhehb3qjjsaejjo4a

Rubber Identification Based on Blended High Spatio-Temporal Resolution Optical Remote Sensing Data: A Case Study in Xishuangbanna

Shupeng Gao, Xiaolong Liu, Yanchen Bo, Zhengtao Shi, Hongmin Zhou
2019 Remote Sensing  
This study presented a rubber plantation identification method that used spatio-temporal optical remote sensing data fusion technology to obtain vegetation index data at high spatio-temporal resolution  ...  The results indicate that the method is a promising approach for rubber plantation mapping and the detection of changes in rubber plantations in this tropical area.  ...  The authors would like to thank the reviewers for their constructive comments during the revision of this paper. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11050496 fatcat:yyyrtrlrtbfx7hhugegrmbunxe

Remote Sensing Applications in Sugarcane Cultivation: A Review

Jaturong Som-ard, Clement Atzberger, Emma Izquierdo-Verdiguier, Francesco Vuolo, Markus Immitzer
2021 Remote Sensing  
Multi-temporal and multi-source data, together with powerful machine learning approaches such as the random forest (RF) algorithm, are key to providing efficient monitoring and mapping of sugarcane growth  ...  Building on existing reviews which mainly focused on the crop's spectral behavior, a comprehensive review is provided which considers the progress made using novel data analysis techniques and improved  ...  Acknowledgments: We are grateful for the comments and suggestions offered by anonymous reviewers to improve our review article.  ... 
doi:10.3390/rs13204040 fatcat:dfpsctv7yzgjzogww7u56hejt4

Estimation of Soil Moisture from Optical and Thermal Remote Sensing: A Review

Dianjun Zhang, Guoqing Zhou
2016 Sensors  
Accurate estimate of the spatio-temporal variations of SM is critical for numerous large-scale terrestrial studies.  ...  In contrast to previous reviews, this paper presents a new, comprehensive and systematic review of using optical and thermal remote sensing for estimating SM.  ...  The successful application in detecting forest fires demonstrated that NMDI can provide a quick response to moisture changes [105, 106] .  ... 
doi:10.3390/s16081308 pmid:27548168 pmcid:PMC5017473 fatcat:ogvu6sukzfcetf7cn6sn725esi

An overview of MATISSE-v2.0

Luc Labarre, Karine Caillault, Sandrine Fauqueux, Claire Malherbe, Antoine Roblin, Bernard Rosier, Pierre Simoneau, Karin Stein, John D. Gonglewski
2010 Optics in Atmospheric Propagation and Adaptive Systems XIII  
Interpretation of the results is performed by means of a theoretical model developed for PSTPM investigation of isolated nanoparticles [6].  ...  for providing the Radarsat-2, TerraSAR-X and weather data respectively.  ...  Satellite imagery offers great potential for marine coastal areas mapping and spatio-temporal dynamics assessment.  ... 
doi:10.1117/12.868183 fatcat:5anlqspzzzcftfufaxvlr45zve

Retrievals of Aerosol Optical Depth and Spectral Absorption From DSCOVR EPIC

Alexei Lyapustin, Sujung Go, Sergey Korkin, Yujie Wang, Omar Torres, Hiren Jethva, Alexander Marshak
2021 Frontiers in Remote Sensing  
A new algorithm is described for joint retrievals of the aerosol optical depth and spectral absorption from EPIC observations in the UV—Vis spectral range.  ...  An initial evaluation of single scattering albedo (SSA) at 443 nm over these regions shows a good agreement with AERONET data, generally within the uncertainty of AERONET SSA of ± 0.03.  ...  While generally robust at moderate-tohigh values AI > 4.5-6, AI is often low for the weakly absorbing smoke, e.g., from the Boreal forest fires or peat fires (e.g., Eck et al., 2009 Eck et al., , 2019  ... 
doi:10.3389/frsen.2021.645794 fatcat:moqemfk6xzgtho5go73mfwkg5q

Studying Physical And Social Dimensions Of Fire, to Evaluate Localised Risk Level

C. Napoleone, M. Jappiot
2006 2006 First International Symposium on Environment Identities and Mediterranean Area  
B Be er rn na ar rd d E Es sp pi in na as ss se e : Decision support for forest fire risk evaluation : dynamic modelling and spatio-temporal integration q F Fr ra an nc ce es sc ca a--M Ma ar ri ia a C  ...  FOREST 11 FIRE FOREST W Wo or rk ks sh ho op p o or rg ga an ni is sa at ti io on n The workshop is divided in f fo ou ur r different topics : Fire modelling, Fire chemistry, Fire ecology and fire  ... 
doi:10.1109/iseima.2006.344930 fatcat:rzwcskhqt5fjpowwsk67zorzkm

XXIII ISPRS Congress, Proceedings and Results – Volume XLI, Part A, 2016

L. Halounová, C. Heipke, A. Radtke
2018 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Modeling carbon emission from forest fire using RS/GIS • Advanced Mapping and Monitoring Deforestation and Forest Degradation using latest Development of RS Sensor, Methods and Techniques. 43  ...  growth and stress for sustainable agricultural production and Conservation agriculture • Integration of spatio-temporal satellite data products for analyses on climate change / variation • Global  ...  Spatial information science deals with, for example, spatial data mining, interoperability and data integration, visual analytics, spatio-temporal perspectives on big data, visualisation and generalisation  ... 
doi:10.5194/isprs-archives-xli-a-1-2018 fatcat:hzsxrsslsfcxtmmcqlp46dgnky

Distribution and frequency of VKORC1 sequence variants conferring resistance to anticoagulants in Mus musculus

Hans-Joachim Pelz, Simone Rost, Elisabeth Müller, Alexandra Esther, Rainer G Ulrich, Clemens R Müller
2011 Pest Management Science  
Julius Kühn-Institut, Federal Research Centre for cultivated plants (JKI) The Julius Kühn-Institut is both a research institution and a higher federal authority.  ...  concepts for plant cultivation as a whole, ranging from plant production to plant care and plant usage.  ...  Acknowledgements The data from the field trials used in the computer modelling were kindly provided by the Rodenticide Resistance Action Committee and Syngenta AG.  ... 
doi:10.1002/ps.2254 pmid:21898757 fatcat:klcfi2vjqbhqzdcui3xxmwhmoy

Volume 19 : 2021 Issue 2

MIP Malaysia
This journal is a refereed journal. All articles were reviewed by two or three unanimous referees identified by the Institute (MIP).  ...  ACKNOWLEDGEMENTS The authors would like to express their appreciation to the data providers such as Malaysia Agency of Remote Sensing for high resolution satellite imagery (Pleiades 1A), Town and Regional  ...  Therefore, it is suitably used for determining tourist's spatial behaviour and tourist movement patterns through a tourist perspective.  ... 
doi:10.21837/pm.v19i16.946 fatcat:ca75sw4n5ncdtpi54djoqdf4ty

Science Plan 2012 of the Environmental Mapping and Analysis Program (EnMAP) [article]

Hermann Kaufmann, S. Förster, Hendrik Wulf, K. Segl, Luis Guanter, M. Bochow, U. Heiden, A. Müller, W. Heldens, T. Schneiderhan, P.J. Leitão, S. Van Der Linden (+10 others)
.; Müller, A.; Heldens, W.; Schneiderhan, T.; Leitão, P.J.; van der Linden, S.; Hostert, P.; Hill, J.; Buddenbaum, H.; Mauser, W.; Hank, T.; Krasemann, H.; Röttgers, R.; Oppelt, N.; Heim, B.  ...  .; Müller, A.; Heldens , W.; Schneiderhan, T.; Leitão, P.J.; van der Linden, S.; Hostert, P.; Hill, J.; Buddenbaum, H.; Mauser, W.; Hank,T.; Krasemann, H.; Röttgers, R.; Oppelt, N.; Heim, B. (2012) Science  ...  Acknowledgement We are thankful to Ashley Bracken and Theodor Becker for their thoughtful reviews and constructive comments that helped to improve this Science Plan.  ... 
doi:10.2312/enmap.2015.013 fatcat:sezjspw4mrht3ei6fl35rteq2e
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