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Comparison of Pixel- and Object-Based Approaches in Phenology-Based Rubber Plantation Mapping in Fragmented Landscapes

Deli Zhai, Jinwei Dong, Georg Cadisch, Mingcheng Wang, Weili Kou, Jianchu Xu, Xiangming Xiao, Sawaid Abbas
2017 Remote Sensing  
Remote Sens. 2018, 10, 44 2 of 20 that (1) object-based approaches could improve the accuracy of rubber plantation mapping compared to the pixel-based approach and (2) incorporating the phenological information  ...  Data Used and Preprocessing Modis Data In this study, the MODIS NDVI (Normalized Differential Vegetation Index) standard product coded as MOD09A1, with eight-day time intervals and at a 500 m spatial  ...  Data Used and Preprocessing Modis Data In this study, the MODIS NDVI (Normalized Differential Vegetation Index) standard product coded as MOD09A1, with eight-day time intervals and at a 500 m spatial  ... 
doi:10.3390/rs10010044 fatcat:sg22ncutzzev5bk4yfelhpglrm

Geospatial modeling of land cover change in the Chocó-Darien global ecoregion of South America; One of most biodiverse and rainy areas in the world

J. Camilo Fagua, R. Douglas Ramsey, Julia A. Jones
2019 PLoS ONE  
Using the Random Forest ensemble learning classification tree system, we developed annual LULC maps in the CGE from 2002 to 2015 using a time series of cloud-free MODIS vegetation index products.  ...  Forest loss was higher between 2010-2015 when compared to 2002-2010.  ...  Acknowledgments We acknowledged COLCIENCIAS-Colombia (529-2011) and Fulbright-US to support this research, Ecology Center and Remote Sensing/GIS lab of Utah State University-US to provide additional financial  ... 
doi:10.1371/journal.pone.0211324 pmid:30707720 pmcid:PMC6358088 fatcat:2l4y57vienbajglaruu2q2s4i4

Land Use/Cover Classification Techniques Using Optical Remotely Sensed Data in Landscape Planning [chapter]

Onur atr, Sha Berberolu
2012 Landscape Planning  
All of the model based classifiers were compared each other using the same training data set in order to ensure the comparability of each technique.  ...  Crisp data is adequate for the hard classifications, however assessment of a soft classification needs fuzzy ground truth like real forest cover in study scale quantitavely.  ...  Land Use/Cover Classification Techniques Using Optical Remotely Sensed Data in Landscape Planning, Landscape Planning, Dr.  ... 
doi:10.5772/31351 fatcat:5dd5zcp7cbathmoxicu265fvuu

Land Cover Mapping in Northern High Latitude Permafrost Regions with Satellite Data: Achievements and Remaining Challenges

Annett Bartsch, Angelika Höfler, Christine Kroisleitner, Anna Trofaier
2016 Remote Sensing  
SPOT HRV data from a case study area were used to develop an approach for the retrieval of land cover fractions within the AVHRR pixels, including the classes birch forest, conifer forest, forested bog  ...  SAR classifiers [31] .  ...  Acknowledgments: This study has been funded by the European Space Agency project DUE GlobPermafrost (Contract Number 4000116196/15/I-NB), which is lead by the Zentralanstalt für Meteorologie und Geodynamik  ... 
doi:10.3390/rs8120979 fatcat:mxgo4acr5jhwlgcm2qix6zvt3y

Spatial distribution of temporal dynamics in anthropogenic fires in miombo savanna woodlands of Tanzania

Beatrice Tarimo, Øystein B Dick, Terje Gobakken, Ørjan Totland
2015 Carbon Balance and Management  
We assessed the spatio-temporal distribution of fires in miombo woodlands of Tanzania, utilizing the MODIS active fire product and Landsat satellite images for the past ~40 years.  ...  Anthropogenic uses of fire play a key role in regulating fire regimes in African savannas.  ...  We also thank the anonymous reviewers for the very pertinent comments that greatly improved a previous version of the manuscript.  ... 
doi:10.1186/s13021-015-0029-2 pmid:26246851 pmcid:PMC4518077 fatcat:2jqqibggf5b3tls3pgrqyugzoy

Mapping Deforestation and Forest Degradation Patterns in Western Himalaya, Pakistan

Faisal Qamer, Khuram Shehzad, Sawaid Abbas, MSR Murthy, Chen Xi, Hammad Gilani, Birendra Bajracharya
2016 Remote Sensing  
This work comprises a satellite image based study in combination with national expert validation to generate sub-district level statistics for forest cover over the Western Himalaya, Pakistan, which accounts  ...  A significant increase in the rate of deforestation is observed in the second half of the study period, where much of the loss occurs at the western borders along with Afghanistan.  ...  Khuram Shehzad contributed with the geospatial data pre-processing, image classification and writing the manuscript. Sawaid Abbas helped design and summarize resulting data.  ... 
doi:10.3390/rs8050385 fatcat:sah3ls4335ddboydgtzjoi6gki

A Statistical Approach to Detect Land Cover Changes in Mediterranean Ecosystems Using Multi-Temporal Landsat Data: The Case Study of Pianosa Island, Italy

Maurizio Sarti, Francesco Primo Vaccari, Carlo Calfapietra, Enrico Brugnoli, Andrea Scartazza
2020 Forests  
In this work, we proposed a new statistical approach based on a pixel-by-pixel analysis of multi-temporal Landsat images.  ...  This study modeled the spatiotemporal changes of land cover on Pianosa Island, Italy, in the period 1999–2015, using the multi-temporal Landsat images.  ...  In the study of land use change and vegetation cover, several threshold identification methods including fuzzy, neural networks, expert systems, change vector analysis, and Bayes theory have been applied  ... 
doi:10.3390/f11030334 fatcat:p3xd44jgkvfk5luafupfgeye5e

Forest Fire Hazards Vulnerability and Risk Assessment in Sirmaur District Forest of Himachal Pradesh (India): A Geospatial Approach

Jagpal Singh Tomar, Nikola Kranjčić, Bojan Đurin, Shruti Kanga, Suraj Kumar Singh
2021 ISPRS International Journal of Geo-Information  
To create a forest fire risk model using three different methods, a study was made to find out how much could be lost in a certain amount of time using three samples.  ...  The various methods we included herein are those based on information, such as knowledge-based AHP-crisp for figuring out forest-fire risk, using such variables as forest type, topography, land-use and  ...  shows the brightness value range of the MODIS data. The three MODIS test site validation exercises completed in 2007 all had a final accuracy of 93.06% in the identification of forest fires.  ... 
doi:10.3390/ijgi10070447 fatcat:mg6qf6acirauvcbcphm4b45pve

Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review

Liping Yang, Joshua Driscol, Sarigai Sarigai, Qiusheng Wu, Haifei Chen, Christopher D. Lippitt
2022 Remote Sensing  
GEE also provides access to the vast majority of freely available, public, multi-temporal RS data and offers free cloud-based computational power for geospatial data analysis.  ...  a promising path towards operationalizing automated RS-based monitoring programs.  ...  Then, the authors used AL for feature reduction so that the model only learned on important data while creating a model that can run within GEE's memory confines.  ... 
doi:10.3390/rs14143253 fatcat:2bxizm4gg5ettkw4vnkl5cdaea

Conference program and abstracts. International Biogeography Society 6th Biennial Meeting – 9-13 January 2013, Miami, Florida, USA

Joaquín Hortal, Karen Faller, Kenneth Feeley, Richard Field, Catherine Graham, François Guilhaumon, Daniel Gavin
2012 Frontiers of Biogeography  
We compare models using remotely sensed data with models generated from WorldClim-based bioclimatic variables.  ...  In order to do so, two series of soil samples were collected from a deciduous forest of Kampinos National Park (Poland).  ...  forest ants in eastern deciduous forests (Aphaenogaster).  ... 
doi:10.21425/f5fbg15702 fatcat:lwyauz5kbvcwbmimvei4iota3a

International cooperation and capacity building [chapter]

2008 Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences: 2008 ISPRS Congress Book  
Land cover binary change detection methods for use in the moist tropical region of the Amazon: A comparative study. International Journal of Remote Sensing 26(1): 101-114. Lunetta, R. S., Johnson, D.  ...  Removal of Noise by Wavelet Method to Generate High Quality Temporal Data of Terrestrial MODIS Products.  ... 
doi:10.1201/9780203888445-44 fatcat:s5ioqzhoj5ceffqxz3e4mshrku

Tropical and Boreal Forest – Atmosphere Interactions: A Review

Paulo Artaxo, Hans-Christen Hansson, Meinrat O. Andreae, Jaana Bäck, Eliane Gomes Alves, Henrique M. J. Barbosa, Frida Bender, Efstratios Bourtsoukidis, Samara Carbone, Jinshu Chi, Stefano Decesari, Viviane R. Després (+49 others)
2022 Tellus: Series B, Chemical and Physical Meteorology  
This review presents how the boreal and the tropical forests affect the atmosphere, its chemical composition, its function, and further how that affects the climate and, in return, the ecosystems through  ...  and availability of data, logistical support, and infrastructure during field activities at several sites in Amazonia, including the Amazon Tall Tower Observatory (ATTO).  ...  ACKNOWLEDGEMENTS We would like to thank the Department of Environmental Sciences, University of Stockholm, for supporting a guest visit for PA and HC H travel to Brazil that allowed this review to be written  ... 
doi:10.16993/tellusb.34 fatcat:eg2xdrhhmjcorauasezaffjgma

Volume 54, Number 2 (March 2001)

Editorial Board
2001 Journal of range management  
La necesidad consiste en la identifiacion y en el trazo de las diferencias que existen en las areas, las cuales permiten una produccion de forraje a traves del tiempo y que a su vez sirve para describir  ...  La cantidad de cosecha del forraje a traves del tiempo, es en muchas maneras el sine qua non del manejo y distribucion del campo.  ...  The vegetation cover type associated with each class is determined a posteriori by comparing the classified image data to ground reference data.  ... 
doi:10.2458/azu_jrm_v54i2_board fatcat:6h6m4myztbbb7b47fo3a43m7me

The use and misuse of magnetic methods to monitor environmental pollution in urban areas

Kathrin Lisa Kapper, Francisco Bautista, Avto Goguitchaishvili, Maria Felicidad Bógalo, Ruben Cejudo-Ruíz, Miguel Cervantes Solano
2020 Boletín de la Sociedad Geológica Mexicana  
We like to thank William Lowry for his useful input.  ...  This space-based monitoring, based on Aerosol Optical Depth (AOD) measurements, e.g., from the MODIS sensor onboard the Aqua Satellite, is a quantitative http://dx.doi.org/10.18268/BSGM2018v72n1a111219  ...  It can further be used as a fingerprint to compare unknown samples to standards.  ... 
doi:10.18268/bsgm2020v72n1a111219 fatcat:aw3ywi2umvfg3a2rrfjrzvqdby

Time Series Generation and Classification of MODIS Data for Land Cover Mapping

René Colditz, Stefan Dech, Gutachter, Matthew Hansen
2007 unpublished
Stefan Dech (German Aerospace Center -DLR and University of Würzburg -UW), who provided the unique opportunity for a dedicated Ph.D. research with a topic almost free of choice in an inspiring environment  ...  Matthew Hansen (South Dakota State University, Brookings) for a host of trend-setting advice for my research and for being the second reviewer of my dissertation.  ...  This entire fuzzy classification is compared with the multi-scale input data using fuzzy error measures.  ... 
fatcat:7nxuhwqplrcdnohjwb5mxrcxee
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