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Neural-Network Time-Series Analysis of MODIS EVI for Post-Fire Vegetation Regrowth

Christos Vasilakos, George E. Tsekouras, Palaiologos Palaiologou, Kostas Kalabokidis
2018 ISPRS International Journal of Geo-Information  
The time-series analysis of multi-temporal satellite data is widely used for vegetation regrowth after a wildfire event.  ...  In the present study, we estimated wildfire disturbance by comparing actual post-fire time series of Moderate Resolution Imaging Spectroradiometer (MODIS) enhanced vegetation index (EVI) and simulated  ...  Acknowledgments: The MYD13Q1 data were retrieved from the online AppEEARS, courtesy of the NASA  ... 
doi:10.3390/ijgi7110420 fatcat:dzy4um72bfddfkwtiunnla7zqi

Remote Sensing Techniques in Monitoring Post-Fire Effects and Patterns of Forest Recovery in Boreal Forest Regions: A Review

Thuan Chu, Xulin Guo
2013 Remote Sensing  
Additionally, the variation and stratification of pre-and post-fire vegetation and environmental conditions should be considered to achieve a reasonable, operational model for monitoring post-fire effects  ...  However, a number of challenges remain before remote sensing practitioners will be able to better understand the effects of forest fires and how vegetation responds afterward.  ...  We also acknowledge the anonymous reviewers for their valuable comments and Colin Brown for the language revision to improve this manuscript.  ... 
doi:10.3390/rs6010470 fatcat:rj27xx522rb2ra675uy3c76zle

Spatio-Temporal Variability in Remotely Sensed Vegetation Greenness Across Yellowstone National Park

Michael Notaro, Kristen Emmett, Donal O'Leary
2019 Remote Sensing  
Correlation, time-series, and empirical orthogonal function analyses for 1982–2015 focused on Daymet data and vegetation indices (VIs) from the Advanced Very High-Resolution Radiometer (AVHRR) and Moderate  ...  The study's key questions address unique time scales. First, what are the dominant meteorological drivers of variability in vegetation greenness on seasonal to interannual time scales?  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11070798 fatcat:xyrmabvbpfbw5eay7ewzqrvktq

Remote Sensing Applications for Monitoring Terrestrial Protected Areas: Progress in the Last Decade

Lijun Mao, Mingshi Li, Wenjuan Shen
2020 Sustainability  
classification, vegetation structure quantification, natural disturbance monitoring, and land use & land cover and vegetation dynamic analysis.  ...  We review the advances in remote sensing-based approaches for monitoring terrestrial PAs in the last decade and identify four types of studies in this field: land use & land cover and vegetation community  ...  Acknowledgments: The authors acknowledge the financial support of Nanjing Forestry University and Nanjing Forest Police College. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su12125016 fatcat:dpvyuh32qfhq3dnujflotocmbq

Remote sensing for the Spanish forests in the 21st century: a review of advances, needs and opportunities

Cristina Gómez, Pablo Alejandro, Txomin Hermosilla, Fernando Montes, Cristina Pascual, Luis Angel Ruiz, Flor Álvarez-Taboada, Mihai Tanase, Ruben Valbuena
2019 Forest Systems  
Currently, wall-to-wall optical and LiDAR data are extensively used for a wide range of applications—many times in combination—whilst radar or hyperspectral data are rarely used in the analysis of Spanish  ...  Overall, we live in times of unprecedented opportunities for monitoring forest ecosystems with a growing support from RS technologies.  ...  Acknowledgments We thank the reviewers and editor for their thorough work and contributions to the final manuscript version.  ... 
doi:10.5424/fs/2019281-14221 fatcat:fzxqm3g2aza6tj45lrzvk4flza

Remote Sensing and Cropping Practices: A Review

Agnès Bégué, Damien Arvor, Beatriz Bellon, Julie Betbeder, Diego de Abelleyra, Rodrigo P. D. Ferraz, Valentine Lebourgeois, Camille Lelong, Margareth Simões, Santiago R. Verón
2018 Remote Sensing  
For agronomic, environmental, and economic reasons, the need for spatialized information about agricultural practices is expected to rapidly increase.  ...  /agroforestry), and cropping techniques (irrigation, soil tillage, harvest and post-harvest practices, crop varieties, and agro-ecological infrastructures).  ...  , based on shape matching of MODIS EVI time series [69] .  ... 
doi:10.3390/rs10010099 fatcat:twvd6jtdinb2hnfs63nlvnyvwa

Quantifying the relative importance of greenhouse gas emissions from current and future savanna land use change across northern Australia

Mila Bristow, Lindsay B. Hutley, Jason Beringer, Stephen J. Livesley, Andrew C. Edwards, Stefan K. Arndt
2016 Biogeosciences  
At the deforested site, post-clearing debris was allowed to cure for 6 months and was subsequently burnt, followed by extensive soil preparation for cropping.  ...  for the duration of the land use change.  ...  MODIS EVI as inputs.  ... 
doi:10.5194/bg-13-6285-2016 fatcat:4usbf7ixgzazrabfd3y5lw6u7i

Remote Sensing's Recent and Future Contributions to Landscape Ecology

Morgan A. Crowley, Jeffrey A. Cardille
2020 Current Landscape Ecology Reports  
for classifying land cover types.  ...  Summary The ongoing integration of remote sensing analyses in landscape ecology will depend on continued accessibility of free imagery from satellite sources and open-access data-analysis software, analyses  ...  Acknowledgments Many thanks to Sara Pancheri for annotating the first set of papers reviewed.  ... 
doi:10.1007/s40823-020-00054-9 fatcat:si4symuoijhmrfa3gyox7hzdse

Uni-Temporal Multispectral Imagery for Burned Area Mapping with Deep Learning

Xikun Hu, Yifang Ban, Andrea Nascetti
2021 Remote Sensing  
Using only a post-fire image, the DL methods not only provide automatic, accurate, and bias-free large-scale mapping option with cross-sensor applicability, but also have potential to be used for onboard  ...  Our study aims to expound on the capability of deep learning (DL) models for automatically mapping burned areas from uni-temporal multispectral imagery.  ...  Acknowledgments: This research is part of the project "EO-AI4GlobalChange" funded by KTH  ... 
doi:10.3390/rs13081509 doaj:fa579a4d3ad346a2b492b2448310403c fatcat:jhls5zm62bchzkhtb4srrjr2xy

Progress in Hyperspectral Remote Sensing Science and Technology in China Over the Past Three Decades

Qingxi Tong, Yongqi Xue, Lifu Zhang
2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
These tools such as the Hyperspectral Image Processing and Analysis System (HIPAS) incorporate a number of special algorithms and features designed to take advantage of the wealth of information contained  ...  A series of advanced hyperspectral imaging systems ranging from ground to airborne and satellite platforms have been designed, built, and operated.  ...  ., DNA, artificial immune systems, and neural networks) have been widely used for feature extraction and data analysis [75] , [76] .  ... 
doi:10.1109/jstars.2013.2267204 fatcat:yu4pp5zyqzhafa4ec7m3vva7xi

Approaches of Satellite Remote Sensing for the Assessment of Above-Ground Biomass across Tropical Forests: Pan-tropical to National Scales

Sawaid Abbas, Man Sing Wong, Jin Wu, Naeem Shahzad, Syed Muhammad Irteza
2020 Remote Sensing  
; time steps used to map forest cover change and post-deforestation land cover land use (LCLU)-type mapping.  ...  New methods should consider peak carbon sink time while developing carbon sequestration models for intact or old-growth tropical forests as well as the carbon sequestration capacity of recovering forest  ...  [106] produced the third generation of 15-day global LAI, FAPAR and Normalized difference vegetation index (NDVI) products, by applying Neural Network algorithms on GIMMS and MODIS LAI at a 0.083-degree  ... 
doi:10.3390/rs12203351 fatcat:rvfj5oyvrjbnllbhnv527pe6jq

Mapping Maize Area in Heterogeneous Agricultural Landscape with Multi-Temporal Sentinel-1 and Sentinel-2 Images Based on Random Forest

Yansi Chen, Jinliang Hou, Chunlin Huang, Ying Zhang, Xianghua Li
2021 Remote Sensing  
The purpose of this study is to explore the combining application of high-resolution multi-temporal Sentinel-1 (S1) radar backscatter and Sentinel-2 (S2) optical reflectance images for maize mapping in  ...  We proposed a new two-step method of vegetation extraction and followed by maize extraction, that is, extract the vegetation-covered areas first to reduce the inter-class variance by using a Random Forest  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13152988 fatcat:ul3yjdp2snhepnlaab7lipfgmm

Implications of land use change on the national terrestrial carbon budget of Georgia

Pontus Olofsson, Paata Torchinava, Curtis E Woodcock, Alessandro Baccini, Richard A Houghton, Mutlu Ozdogan, Feng Zhao, Xiaoyuan Yang
2010 Carbon Balance and Management  
Results: The remote sensing analysis showed that a modest forest loss occurred, with approximately 0.8% of the forest cover having disappeared after 1990.  ...  Instead local harvesting of timber for household use is likely to be the underlying driver of the observed logging.  ...  Data on human settlement was derived from Version 4 DMSP-OLS Nighttime Lights Time Series (Image and data processing by NOAA's National Geophysical Data Center.  ... 
doi:10.1186/1750-0680-5-4 pmid:20836865 pmcid:PMC2945338 fatcat:spbp3moip5cezcfphhfgb3amxa

Satellite Observations of the Tropical Terrestrial Carbon Balance and Interactions with the Water Cycle During the 21st Century

John Worden, Sassan Saatchi, Michael Keller, Anthony Bloom, Rong Fu, Sarah Worden, Junjie Liu, Nicholas Parazoo, Joshua B. Fisher, Helen Worden, Yi Yin, Kevin Bowman (+9 others)
2021 Reviews of Geophysics  
For example, the MODIS satellite visible data can be used to quantify GPP, using a number of inputs from re-analysis and vegetation models, providing a record of GPP changes since 2002 (e.g., Y.  ...  Figure 4 . 4 (Top Panel) Total emissions from forest disturbance by combining the land use activities and fires derived from the Landsat time series (Hansen et al., 2013) and MODIS burned area (van der  ... 
doi:10.1029/2020rg000711 fatcat:4z72x2nyxnby5kzncjjucm2xza

A comparative analysis of remote sensing methods for burn-scar mapping in wetlands

Mackenzie Austin
2022
vegetation regrowth rate.  ...  However, different conditions can significantly decrease the time taken for regeneration, with some indices returning to pre-fire values as early as 100 days post-fire.  ...  Finally, these outputs will be sequenced to form a time-series analysis, highlighting vegetation regeneration over time.  ... 
doi:10.25949/19440179 fatcat:lth2ohcktjce3a7ecvwggmox3e
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